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Lex JR, Entezari B, Toor J, Abbas A, Nousiainen M, Rahman C, Whyne C, Ravi B. Intraoperative scrub nurse turnover in orthopaedic surgery procedures: An opportunity for improved operating room efficiency. J Healthc Qual Res 2024; 39:155-162. [PMID: 38580507 DOI: 10.1016/j.jhqr.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 02/08/2024] [Accepted: 03/15/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Scrub nurses play a crucial role in facilitating orthopaedic surgeries, and thus intraoperative scrub nurse turnover may disrupt the workflow of the surgical team and prolong duration of surgery (DOS). The purpose of this study was to quantify the impact of intraoperative scrub nurse turnover on operative time of orthopaedic surgeries lasting less than 3h in duration. METHODS Prospectively collected databases from two institutions were retrospectively queried to identify all orthopaedic procedures of maximum mean duration of 180min from March 4th, 2018 to August 31st, 2022. Cases were divided into two groups, those with scrub nurse turnover and those without. Propensity score matching was conducted to match groups by surgeon, hospital, patient age, gender, and ASA classification. Unpaired t-tests were used to compare mean DOS for each surgical procedure. Average treatment effect on treated (ATET) with 95% confidence intervals (CIs) were calculated. RESULTS Scrub nurse turnover significantly prolonged DOS for both bone forearm facture open reduction and internal fixation (ORIF) (ATET=21.08, p=0.001), ankle ORIF (ATET=21.26, p<0.001), clavicle ORIF (ATET=16.16, p=0.028), femur intramedullary nail (ATET=11.52, p=0.003), rotator cuff repair (ATET=16.88, p<0.001), partial discectomy (ATET=10.52, p=0.001), total knee arthroplasty (TKA) (ATET=5.69, p<0.001), anterior total hip arthroplasty (THA) (ATET=8.80, p<0.001), lateral THA (ATET=7.02, p<0.001), and uncemented hip hemiarthroplasty (ATET=16.79, p=0.049). CONCLUSION Intraoperative scrub nurse turnover significantly prolongs surgical times in orthopaedic surgeries lasting up to 3h in duration. This highlights the importance of developing strategies to prevent intraoperative scrub nurse turnover to improve OR efficiency and decrease healthcare costs.
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Affiliation(s)
- J R Lex
- Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, Toronto, ON, Canada; Division of Orthopaedic Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - B Entezari
- Granovsky Gluskin Division of Orthopaedics, Mount Sinai Hospital, Toronto, ON, Canada; Queen's University School of Medicine, Kingston, ON, Canada.
| | - J Toor
- Division of Orthopaedic Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - A Abbas
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - M Nousiainen
- Division of Orthopaedic Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Division of Orthopaedic Surgery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - C Rahman
- Division of Orthopaedic Surgery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - C Whyne
- Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, Toronto, ON, Canada; Division of Orthopaedic Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - B Ravi
- Division of Orthopaedic Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Division of Orthopaedic Surgery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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Floros MC, Bortolatto JF, Lausch AJ, Valiente AJ, Sone ED, Santerre JP, Whyne C, Fialkov JA. BoneTape: A novel osteosynthetic device for the stabilization of zygomatic fractures. J Plast Reconstr Aesthet Surg 2024; 91:276-283. [PMID: 38432085 DOI: 10.1016/j.bjps.2024.02.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/15/2023] [Accepted: 02/04/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND The study aims to assess the safety and effectiveness of BoneTape™, a new resorbable bone fixation device, using a zygomatic fracture model in rabbits. METHODS The study followed BoneTape™ samples and control (sham) groups over 2-, 6-, and 12-week periods post-zygomaticomaxillary (ZM) osteotomy and zygomaticofrontal (ZF) disarticulation. The osteotomized segments were analyzed for bone healing, inflammatory response, and tissue healing. µCT imaging and histological analysis were used to examine the axial alignment, offset, and quality of new bone formation. RESULTS BoneTape™ samples demonstrated enhanced maintenance of the initial intraoperative positioning, reduced axial offset, and better alignment when compared with the control group, enabling stable bone healing under physiological loading conditions. Complete union was observed at 12-weeks in both groups. The BoneTape™ group experienced minimal immune and tissue reactions, classically associated with wound healing, and showed an increased number of giant cells at 6 and 12-weeks. CONCLUSION BoneTape™ represents a promising advancement in osteosynthesis, demonstrating efficacy in maintaining stable zygomatic reconstruction and eliciting minimal immune response in a rabbit model. This study introduces BoneTape™ as a disruptive solution specifically designed for clinical application in cranio-maxillofacial fracture fixation, with the potential to eliminate the use of over-engineered solutions while offering benefits such as ease of application and fewer biologically disruptive steps.
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Affiliation(s)
| | | | | | | | - Eli D Sone
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada; Faculty of Dentistry, University of Toronto, Toronto, Canada; Deparment of Materials Science and Engineering, University of Toronto, Toronto, Canada
| | - J Paul Santerre
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada; Translational Biology and Engineering Program, Ted Rogers Centre for Heart Research, Toronto, Canada; Faculty of Dentistry, University of Toronto, Toronto, Canada
| | - Cari Whyne
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada; Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Surgery, University of Toronto, Toronto Canada
| | - Jeffrey A Fialkov
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada; Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Surgery, University of Toronto, Toronto Canada.
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Wang Y, Agenor A, Clement A, Hopfgartner A, Whyne C, Nam D. Probiotics: Can it modulate fracture healing? PLoS One 2023; 18:e0290738. [PMID: 37651346 PMCID: PMC10470963 DOI: 10.1371/journal.pone.0290738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 08/14/2023] [Indexed: 09/02/2023] Open
Abstract
OBJECTIVE Fractures remain a huge burden and their management adversely affects individuals' function and productivity during the lengthy healing period. Gut microbiota exerts a systemic influence on diverse aspects of host physiology, including bone. The primary objective of this study was to evaluate if oral probiotic treatment before or after a fracture in a mouse model could increase cytokines and biomarkers essential for bone healing with subsequent improvement in the biomechanical properties of the healed callus. METHODS Femoral osteotomy and intramedullary pinning were performed on C57BL/6 mice. Group 1 received either control PBS or probiotic via oral gavage for 5 weeks before fracture (pre-fracture). Group 2 received equivalent treatments for 4 weeks only after fracture (post-fracture). Fracture calluses were harvested on day 3 and 7 for RT-qPCR to quantify osteogenic-related inflammatory cytokines and bone biomarkers. Fractured femurs were evaluated day 28 post-osteotomy via microstructural analysis (μCT) and biomechanical testing (torsion). RESULTS Mice treated with probiotics pre-fracture (group 1) showed significantly increased gene expression on day 3 of cytokines TGF-β, IL-6 and IL-17F and a corresponding increase in gene expression on day 7 for Col1 and Runx2. Significant improvement was also seen in bone volume fraction, bone mineral density, tissue mineral density, maximum yield torque, stiffness and strain energy. Mice treated with probiotics post-fracture (group 2), demonstrated no changes in cytokine or bone marker gene expression with no significant changes on microstructural analysis. However, significant increases were seen in twist angle at failure and strain energy, with a corresponding reduction in torsional stiffness. CONCLUSION Our results suggest that oral probiotic administration, before or after a fracture, may sufficiently alter the gut flora microenvironment leading to improved bone healing biomechanical properties. The use of probiotics may provide a cost-effective and low-risk adjunctive therapy to improve fracture healing.
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Affiliation(s)
- Yufa Wang
- Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, Canada
| | - Aouod Agenor
- Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, Canada
| | - Allison Clement
- Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, Canada
| | - Adam Hopfgartner
- Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, Canada
| | - Cari Whyne
- Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, Canada
- Institute for Biomedical Engineering, University of Toronto, Toronto, Canada
| | - Diane Nam
- Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, Canada
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Birk M, Sidhu K, Filezio MR, Singh V, Ferri-de-Barros F, Chan V, Shumilak G, Nataraj A, Langston H, Yee NJ, Iorio C, Shkumat N, Rocos B, Ertl-Wagner B, Lebel D, Camp MW, Dimentberg E, Saran N, Laflamme M, Ouellet JA, Wenghofer J, Livock H, Beaton L, Tice A, Smit K, Graham R, Duarte MP, Roy-Beaudry M, Turgeon I, Joncas J, Mac-Thiong JM, Labelle H, Barchi S, Parent S, Gholamian T, Livock H, Tice A, Smit K, Yoon S, Zulfiqar A, Rocos B, Murphy A, Bath N, Moll S, Sorbara J, Lebel D, Camp MW, Nallet JA, Rocos B, Lebel DE, Zeller R, Dermott JA, Kim DJ, Anthony A, Zeller R, Lebel DE, Wang Z, Shen J, Kamel Y, Liu J, Shedid D, Al-Shakfa F, Yuh SJ, Boubez G, Rizkallah M, Rizkallah M, Shen J, Boubez G, Kamel Y, Liu J, Shedid D, Al-Shakfa F, Lavoie F, Yug SJ, Wang Z, Alavi F, Nielsen C, Rampersaud R, Lewis S, Cheung AM, Cadieux C, Fernandes R, Brzozowski P, Zdero R, Bailey C, Rasoulinejad P, Cherry A, Manoharan R, Xu M, Srikandarajah N, Iorio C, Raj A, Nielsen C, Rampersaud R, Lewis S, Beange K, Graham R, Livock H, Smit K, Manoharan R, Cherry A, Srikandarajah N, Raj A, Xu M, Iorio C, Nielsen CJ, Rampersaud YR, Lewis SJ, Nasrabadi AAM, Moammer G, Phee JM, Walker T, Urquhart JC, Glennie RA, Rampersaud YR, Fisher CG, Bailey CS, Herrington BJ, Fernandes RR, Urquhart JC, Rasoulinejad P, Siddiqi F, Bailey CS, Urquhart J, Fernandes RR, Glennie RA, Rampersaud YR, Fisher CG, Bailey CS, Yang MMH, Riva-Cambrin J, Cunningham J, Casha S, Cadieux CN, Urquhart J, Fernandes R, Glennie A, Fisher C, Rampersaud R, Xu M, Manoharan R, Cherry A, Raj A, Srikandarajah N, Iorio C, Nielsen C, Lewis S, Rampersaud R, Cherry A, Raj A, McIntosh G, Manoharan R, Murray JC, Nielsen C, Xu M, Srikandarajah N, Iorio C, Perruccio A, Canizares M, Rampersaud R, El-Mughayyar D, Bigney E, Richardson E, Manson N, Abraham E, Attabib N, Small C, Kolyvas G, LeRoux A, Outcomes CS, Investigators RN, Hebert J, Baisamy V, Rizkallah M, Shen J, Cresson T, Vazquez C, Wang Z, Boubez G, Lung T, Canizares M, Perruccio A, Rampersaud R, Crawford EJ, Ravinsky RA, Perruccio AV, Rampersaud YR, Coyte PC, Bond M, Street J, Fisher C, Charest-Morin R, Sutherland JM, Bartolozzi AR, Barzilai O, Chou D, Laufer I, Verlaan JJ, Sahgal A, Rhines LD, Scuibba DM, Lazary A, Weber MH, Schuster JM, Boriani S, Bettegowda C, Arnold PM, Clarke MJ, Fehlings MG, Reynolds JJ, Gokaslan ZL, Fisher CG, Dea N, Versteeg AL, Charest-Morin R, Laufer I, Teixeira W, Barzilai O, Gasbarrini A, Fehlings MG, Chou D, Johnson MG, Gokaslan ZL, Dea N, Verlaan JJ, Goldschlager T, Shin JH, O'Toole JE, Sciubba DM, Bettegowda C, Clarke MJ, Weber MH, Mesfin A, Kawahara N, Goodwin R, Disch A, Lazary A, Boriani S, Sahgal A, Rhines L, Fisher CG, Versteeg AL, Gal R, Reich L, Tsang A, Aludino A, Sahgal A, Verlaan JJ, Fisher CG, Verkooijen L, Rizkallah M, Wang Z, Yuh SJ, Shedid D, Shen J, Al-Shakfa F, Belguendouz C, AlKafi R, Boubez G, MacLean MA, Georgiopoulos M, Charest-Morin R, Germscheid N, Goodwin CR, Weber M, International AS, Rizkallah M, Boubez G, Zhang H, Al-Shakfa F, Brindamour P, Boule D, Shen J, Shedid D, Yuh SJ, Wang Z, Correale MR, Soever LJ, Rampersaud R, Malic CC, Dubreuil M, Duke K, Kingwell SP, Lin Z, MacLean MA, Julien LC, Patriquin G, LeBlanc J, Green R, Alant J, Barry S, Glennie RA, Oxney W, Christie SD, Sarraj M, Alqahtani A, Thornley P, Koziarz F, Bailey CS, Freire-Archer M, Bhanot K, Kachur E, Bhandari M, Oitment C, Malhotra AK, Balas M, Jaja BNR, Harrington EM, Hofereiter J, Jaffe RH, He Y, Byrne JP, Wilson JR, Witiw CD, Brittain KCM, Christie S, Pillai S, Dvorak MF, Evaniew N, Chen M, Waheed Z, Rotem-Kohavi N, Fallah N, Noonan VK, Fisher CG, Charest-Morin R, Dea N, Ailon T, Street J, Kwon BK, Sandarage RV, Galuta A, Ghinda D, Kwan JCS, TsaI EC, Hachem LD, Hong J, Velumian A, Mothe AJ, Tator CH, Fehlings MG, Shakil H, Jaja BNR, Zhang P, Jaffe R, Malhotra AK, Wilson JR, Witiw CD, Rotem-Kohavi N, Dvorak MF, Dea N, Evaniew N, Chen M, Waheed Z, Xu J, Fallah N, Noonan V, Kwon B, Dandurand C, Muijs S, Dvorak M, Schnake K, Cumhur, Ouml Ner, Greene R, Furlong B, Smith-Forrester J, Swab M, Christie SD, Hall A, Leck E, Marshall E, Christie S, Dvorak MF, Cumhur F, Ouml Ner, Vaccaro AR, Benneker LM, Rajasekaran S, El-Sharkawi M, Popescu EC, Tee JW, Paquet J, France JC, Allen R, Lavelle WF, Hirschfeld M, Pneumaticos S, Dandurand C, Cumhur, Ouml Ner, Muijs S, Schnake K, Dvorak M, Fernandes RR, Thornley P, Urquhart J, Kelly S, Alenezi N, Alahmari A, Siddiqi F, Singh S, Rasoulinejad P, Bailey C, Evaniew N, Burger LD, Dea N, Cadotte DW, McIntosh G, Jacobs B, St-Laurent-Lebeux L, Bourassa-Moreau É, Sarraj M, Majeed M, Guha D, Pahuta M, Laflamme M, McIntosh G, Dea N, Bak AB, Alvi MA, Moghaddamjou A, Fehlings MG, Silva YGMD, Goulet J, McIntosh G, Bedard S, Pimenta N, Blanchard J, Couture J, LaRue B, Investigators C, Adams T, Cunningham E, El-Mughayyar D, Bigney E, Vandewint A, Manson N, Abraham E, Small C, Attabib N, Richardson E, Hebert J, Bond M, Street J, Fisher C, Charest-Morin R, Sutherland JM, Hillier T, Bailey CS, Fisher C, Rampersaud R, Koto P, Glennie RA, Soroceanu A, Nicholls F, Thomas K, Evaniew N, Lewkonia P, Bouchard J, Jacobs B, Ben-Israel D, Crawford EJ, Fisher C, Dea N, Spackman E, Rampersaud R, Thomas KC, Srikandarajah N, Murray JC, Nielsen C, Manoharan R, Cherry A, Raj A, Xu M, Iorio C, Bailey C, Dea N, Fisher C, Hall H, Manson N, Thomas K, Canizares M, Rampersaud YR, Urquhart J, Fernandes RR, Glennie RA, Rampersaud YR, Fisher CG, Bailey C, Yang MMH, Far R, Sajobi T, Riva-Cambrin J, Casha S, Bond M, Street J, Fisher C, Charest-Morin R, Sutherland JM, Silva Y, Pimenta NG, LaRue B, Bedard S, Oviedo SC, Goulet J, Couture J, Blanchard J, McDonald J, Al-Jahdali F, Urquhart J, Alahmari A, Rampersaud R, Fisher C, Bailey C, Glennie A, Evaniew N, Coyle M, Rampersaud YR, Bailey CS, Jacobs WB, Cadotte DW, Thomas KC, Attabib N, Paquet J, Nataraj A, Christie SD, Weber MH, Phan P, Charest-Morin R, Fisher CG, Hall H, McIntosh G, Dea N, Malhotra AK, Davis AM, He Y, Harrington EM, Jaja BNR, Zhu MP, Shakil H, Dea N, Jacobs WB, Cadotte DW, Paquet J, Weber MH, Phan P, Christie SD, Nataraj A, Bailey CS, Johnson MG, Fisher CG, Manson N, Rampersaud YR, Thomas KC, Hall H, Fehlings MG, Ahn H, Ginsberg HJ, Witiw CD, Wilson JR, Althagafi A, McIntosh G, Charest-Morin R, Rizzuto MA, Ailon T, Dea N, Evaniew N, Jacobs BW, Paquet J, Rampersaud R, Hall H, Bailey CS, Weber M, Johnson MG, Nataraj A, Attabib N, Cadotte DW, Manson N, Stratton A, Christie SD, Thomas KC, Wilson JR, Fisher CG, Charest-Morin R, Bak AB, Alvi MA, Moghaddamjou A, Fehlings MG, Bak AB, Alvi MA, Moghaddamjou A, Fehlings MG, Soroceanu A, Nicholls F, Thomas K, Evaniew N, Salo P, Bouchard J, Jacobs B, Dandurand C, Laghaei PF, Ailon T, Charest-Morin R, Dea N, Dvorak M, Fisher C, Kwon BK, Paquette S, Street J, Soroceanu A, Nicholls F, Thomas K, Evaniew N, Bouchard J, Salo P, Jacobs B, Varshney VP, Sahjpaul R, Paquette S, Osborn J, Bak AB, Moghaddamjou A, Fehlings MG, Leck E, Marshall E, Christie S, Elkaim LM, Lasry OJ, Raj A, Murray JC, Cherry A, McIntosh G, Nielsen C, Srikandarajah N, Manoharan R, Iorio C, Xu M, Perruccio A, Canizares M, Rampersaud YR, Stratton A, Tierney S, Wai EK, Phan P, Kingwell S, Magnan MC, Soroceanu A, Nicholls F, Thomas K, Evaniew N, Salo P, Bouchard J, Jacobs B, Spanninga B, Hoelen TCA, Johnson S, Arts JJC, Bailey CS, Urquhart JC, Glennie RA, Rampersaud YR, Fisher CG, Levett JJ, Elkaim LM, Alotaibi NM, Weber MH, Dea N, Abd-El-Barr MM, Cherry A, Yee A, Jaber N, Fehlings M, Cunningham E, Adams T, El-Mughayyar D, Bigney E, Vandewint A, Manson N, Abraham E, Small C, Attabib N, Richardson E, Hebert J, Werier J, Smit K, Villeneuve J, Sachs A, Abdelbary H, Al-Mosuli YK, Rakhra K, Phan P, Nagata K, Gum JL, Brown ME, Daniels CL, Carreon LY, Bonello JP, Koucheki R, Abbas A, Lex J, Nucci N, Whyne C, Larouche J, Ahn H, Finkelstein J, Lewis S, Toor J, Lee NJ, Orosz LD, Gum JL, Poulter GT, Jazini E, Haines CM, Good CR, Lehman RA, Crawford EJ, Ravinsky RA, Perruccio AV, Coyte PC, Rampersaud YR, Freire-Archer M, Sarraj M, AlShaalan F, Koziarz A, Thornley P, Alnemari H, Oitment C, Bharadwaj L, El-Mughayyar D, Bigney E, Manson N, Abraham E, Small C, Attabib N, Richardson E, Kearney J, Kundap U, Investigators C, Hebert J, Elkaim LM, Levett JJ, Niazi F, Bokhari R, Alotaibi NM, Lasry OJ, Bissonnette V, Yen D, Muddaluru VS, Gandhi P, Mastrolonardo A, Guha D, Pahuta MA, Christie SD, Vandertuin T, Ritcey G, Rainham D, Alhawsawi M, Mumtaz R, Abdelnour M, Qumquji F, Soroceanu A, Swamy G, Thomas K, Wai E, Phan P, Bhatt FR, Orosz LD, Yamout T, Good CR, Schuler TC, Nguyen T, Jazini E, Haines CM, Oppermann M, Gupta S, Ramjist J, Oppermann PS, Yang VXD, Levett JJ, Elkaim LM, Niazi F, Weber MH, Ioro-Morin C, Bonizzato M, Weil AG, Oppermann M, Ramjist J, Gupta S, Oppermann PS, Yang VXD, Jung Y, Muddalaru V, Gandhi P, Guha D, Koucheki R, Bonello JP, Abbas A, Lex JR, Nucci N, Whyne C, Yee A, Ahn H, Finkelstein J, Larouche J, Lewis S, Toor J, Dhawan A, Dhawan J, Sharma AN, Azzam DB, Cherry A, Fehlings MG, Orosz LD, Lee NJ, Yamout T, Gum JL, Lehman RA, Poulter GT, Haines CM, Jazini E, Good CR, Ridha BB, Persad A, Fourney D, Byers E, Gallagher M, Sugar J, Brown JL, Wang Z, Shen J, Boubez G, Al-Shakfa F, Yuh SJ, Shedid D, Rizkallah M, Singh M, Singh PK, Lawrence PL, Dell S, Goodluck-Tyndall R, Wade K, Morgan M, Bruce C, Silva YGMD, Pimenta N, LaRue B, Aldakhil S, Blanchard J, Couture J, Goulet J, Bednar DA, Raj R, Urquhart J, Bailey C, Christie SD, Greene R, Chaves JPG, Zarrabian M, Sigurdson L, Manoharan R, Cherry A, Iorio C, Srikandarajah N, Xu M, Raj A, Nielsen CJ, Rampersaud YR, Lewis SJ. Canadian Spine Society: 23rd Annual Scientific Conference, Wednesday, March 1 - Saturday, March 4, Fairmont Le Château Frontenac, Québec, Que., Canada. Can J Surg 2023; 66:S1-S53. [PMID: 37567613 DOI: 10.1503/cjs.006523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/13/2023] Open
Affiliation(s)
| | | | | | | | | | - Vivien Chan
- Division of Neurosurgery, University of Alberta, Edmonton, Alta
- UCLA Health, Los Angeles, Calif
| | - Geoffrey Shumilak
- Division of Neurosurgery, University of Alberta, Edmonton, Alta
- Division of Neurosurgery, University of Saskatchewan, Saskatoon, Sask
| | - Andrew Nataraj
- Division of Neurosurgery, University of Alberta, Edmonton, Alta
| | | | - Nicholas J Yee
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Hospital for Sick Children, Toronto, Ont
| | | | | | | | | | - David Lebel
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Hospital for Sick Children, Toronto, Ont
| | - Mark W Camp
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Hospital for Sick Children, Toronto, Ont
| | | | - Neil Saran
- Division of Orthopaedic Surgery, McGill University, Montréal, Que
| | | | - Jean A Ouellet
- Division of Orthopaedic Surgery, McGill University, Montréal, Que
| | | | - Holly Livock
- Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Luke Beaton
- Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Andrew Tice
- Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Kevin Smit
- Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Ryan Graham
- Health Science Department, University of Ottawa, Ottawa, Ont
| | - Matias Pereira Duarte
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
- Division of Orthopaedic Surgery, Université de Montréal, Montréal, Que
| | | | | | - Julie Joncas
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
| | - Jean-Marc Mac-Thiong
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
- Division of Orthopaedic Surgery, Université de Montréal, Montréal, Que
| | - Hubert Labelle
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
- Division of Orthopaedic Surgery, Université de Montréal, Montréal, Que
| | - Soraya Barchi
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
| | - Stefan Parent
- Centre hospitalier universitaire Sainte-Justine, Montréal, Que
- Division of Orthopaedic Surgery, Université de Montréal, Montréal, Que
| | - Tara Gholamian
- Faculty of Medicine, University of Ottawa, Ottawa, Ont
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ont
| | - Holly Livock
- Department of Orthopaedic Surgery, Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Andrew Tice
- Department of Orthopaedic Surgery, Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Kevin Smit
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ont
- Department of Orthopaedic Surgery, Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Samuel Yoon
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Hospital for Sick Children, Toronto, Ont
| | | | | | | | | | | | | | - David Lebel
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Hospital for Sick Children, Toronto, Ont
| | - Mark W Camp
- Hospital for Sick Children, Toronto, Ont
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Chloe Cadieux
- London Health Sciences Centre, London, Ont
- Department of Orthopaedic Surgery, Western University, London, Ont
| | - Renan Fernandes
- London Health Sciences Centre, London, Ont
- Department of Orthopaedic Surgery, Western University, London, Ont
| | | | - Radovan Zdero
- Department of Orthopaedic Surgery, Western University, London, Ont
| | - Chris Bailey
- London Health Sciences Centre, London, Ont
- Department of Orthopaedic Surgery, Western University, London, Ont
| | - Parham Rasoulinejad
- London Health Sciences Centre, London, Ont
- Department of Orthopaedic Surgery, Western University, London, Ont
| | | | | | | | | | | | | | | | | | | | - Kristen Beange
- Department of Systems and Computer Engineering, Carleton University, Ottawa, Ont
- Ottawa-Carleton Institute for Biomedical Engineering, Ottawa, Ont
| | - Ryan Graham
- Ottawa-Carleton Institute for Biomedical Engineering, Ottawa, Ont
- School of Human Kinetics, University of Ottawa, Ottawa, Ont
| | - Holly Livock
- Division of Orthopedic Surgery, Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Kevin Smit
- Division of Orthopedic Surgery, Children's Hospital of Eastern Ontario, Ottawa, Ont
| | | | | | | | | | | | | | | | | | | | | | - Gemah Moammer
- Grand River Hospital, Waterloo, Ont
- Department of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | - John Mc Phee
- Department of Systems Design Engineering, University of Waterloo, Waterloo, Ont
| | - Taryn Walker
- London Health Sciences Centre Combined Neurosurgical and Orthpaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Jennifer C Urquhart
- London Health Sciences Centre Combined Neurosurgical and Orthpaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - R Andrew Glennie
- Departments of Orthopedics and Neurosurgery, Dalhousie University, Halifax, N.S
| | | | - Charles G Fisher
- Department of Surgery, University of British Columbia, Vancouver, B.C
| | - Chris S Bailey
- London Health Sciences Centre Combined Neurosurgical and Orthpaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Brandon J Herrington
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Schulich School of Medicine and Dentistry, Department of Surgery, Western University, London, Ont
| | - Renan R Fernandes
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Schulich School of Medicine and Dentistry, Department of Surgery, Western University, London, Ont
| | - Jennifer C Urquhart
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Lawson Health Research Institute, London Health Sciences Centre, London, Ont
| | - Parham Rasoulinejad
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Schulich School of Medicine and Dentistry, Department of Surgery, Western University, London, Ont
- Lawson Health Research Institute, London Health Sciences Centre, London, Ont
| | - Fawaz Siddiqi
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Schulich School of Medicine and Dentistry, Department of Surgery, Western University, London, Ont
- Lawson Health Research Institute, London Health Sciences Centre, London, Ont
| | - Christopher S Bailey
- London Health Sciences Centre combined Neurosurgical and Orthopaedic spine program, London, Ont
- Schulich School of Medicine and Dentistry, Department of Surgery, Western University, London, Ont
- Lawson Health Research Institute, London Health Sciences Centre, London, Ont
| | - Jennifer Urquhart
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Renan R Fernandes
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - R Andrew Glennie
- Departments of Orthopedics and Neurosurgery, Dalhousie University, Halifax, N.S
| | | | - Charles G Fisher
- Department of Surgery, University of British Columbia, Vancouver, B.C
| | - Chris S Bailey
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Michael M H Yang
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
- O'Brien Institute of Public Health, Calgary, Alta
| | - Jay Riva-Cambrin
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | | | - Steven Casha
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Chloe N Cadieux
- Division of Orthopaedic Surgery, Western University, London, Ont
| | | | - Renan Fernandes
- Division of Orthopaedic Surgery, Western University, London, Ont
| | - Andrew Glennie
- Department of Surgery, Dalhousie University, Halifax, N.S
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Raja Rampersaud
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
| | | | | | | | | | | | | | | | | | | | | | | | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | | | | | | | - Mark Xu
- Krembil Research Institute Arthritis Institute, Toronto, Ont
| | | | | | | | | | | | - Dana El-Mughayyar
- Canada East Spine Centre, Saint John, N.B
- Department of Kinesiology, University of New Brunswick, Fredericton, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Erin Bigney
- Canada East Spine Centre, Saint John, N.B
- Department of Kinesiology, University of New Brunswick, Fredericton, N.B
- Horizon Health Network, Saint John, N.B
| | - Eden Richardson
- Canada East Spine Centre, Saint John, N.B
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Neil Manson
- Canada East Spine Centre, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
- Saint John Orthopaedics, Saint John, N.B
| | - Edward Abraham
- Canada East Spine Centre, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
- Saint John Orthopaedics, Saint John, N.B
| | - Najmedden Attabib
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Chris Small
- Canada East Spine Centre, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
- Saint John Orthopaedics, Saint John, N.B
| | - George Kolyvas
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Andre LeRoux
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | | | | | - Jeff Hebert
- Department of Kinesiology, University of New Brunswick, Fredericton, N.B
| | | | | | - Jesse Shen
- Centre hospitalier de l'Université de Montréal, Montréal, Que
| | | | | | - Zhi Wang
- Centre hospitalier de l'Université de Montréal, Montréal, Que
| | - Ghassan Boubez
- Centre hospitalier de l'Université de Montréal, Montréal, Que
| | - Tiffany Lung
- Division of Orthopaedic Surgery, Department of Surgery, Faculty of Medicine, University of Toronto, Toronto, Ont
| | - Mayilee Canizares
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Ont
| | - Anthony Perruccio
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Ont
| | - Raja Rampersaud
- Division of Orthopaedic Surgery, Department of Surgery, Faculty of Medicine, University of Toronto, Toronto, Ont
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Ont
| | - Eric J Crawford
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Robert A Ravinsky
- Department of Orthopaedics & Physical Medicine, Medical University of South Carolina, Charleston, S.C
| | - Anthony V Perruccio
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
- Schroeder Arthritis Institute, University Health Network, Toronto, Ont
| | - Y Raja Rampersaud
- Schroeder Arthritis Institute, University Health Network, Toronto, Ont
- Division of Orthopaedic Surgery, Toronto Western Hospital, University Health Network & University of Toronto, Toronto, Ont
| | - Peter C Coyte
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Michael Bond
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | - John Street
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Raphaele Charest-Morin
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Jason M Sutherland
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | - Arthur R Bartolozzi
- Combined Neurological and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Ori Barzilai
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | - Dean Chou
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | - Ilya Laufer
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | - Arjun Sahgal
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | | | - Aron Lazary
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | - Michael H Weber
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | - Stefano Boriani
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | - Paul M Arnold
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | | | | | - Ziya L Gokaslan
- AO Spine Knowledge Forum Tumor, Davos, Graubünden, Switzerland
| | | | - Nicolas Dea
- Combined Neurological and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
- AO Foundation, Davos, Graubünden, Switzerland
| | | | - Raphaele Charest-Morin
- Spine Surgery Institute, Vancouver General Hospital, University of British Columbia, Vancouver, B.C
| | - Ilya Laufer
- Department of Neurosurgery, New York University Langone Health, New York, N.Y
| | - William Teixeira
- Department of Orthopedic, Spine Surgery Division, Instituto do Câncer do Estado de São Paulo, São Paulo, Brazil
| | - Ori Barzilai
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, N.Y
| | | | - Michael G Fehlings
- Division of Neurosurgery and Spine Program, Department of Surgery, University of Toronto, Toronto, Ont
| | - Dean Chou
- Department of Neurosurgery, Division of Spine Surgery, Columbia University Vagelos College of Physicians and Surgeons, New York, N.Y
| | | | - Ziya L Gokaslan
- Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, R.I
| | - Nicolas Dea
- Spine Surgery Institute, Vancouver General Hospital, University of British Columbia, Vancouver, B.C
| | | | - Tony Goldschlager
- Department of Neurosurgery, Monash Health, Melbourne, Victoria, Australia
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard University, Boston, Mass
| | - John E O'Toole
- Department of Neurosurgery, Rush University, Chicago, Ill
| | - Daniel M Sciubba
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, N.Y
| | - Chetan Bettegowda
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Md
| | | | - Michael H Weber
- Spine Surgery Program, Department of Surgery, Montréal General Hospital, McGill University Health Centre, Montréal, Que
| | - Addisu Mesfin
- Department of Orthopaedics, University of Rochester Medical Center, Rochester, N.Y
| | - Norio Kawahara
- Department of Orthopaedic Surgery, Kanazawa Medical University, Kahoku, Ishikawa, Japan
| | - Rory Goodwin
- Department of Neurosurgery, Spine Division, Duke University, Durham, N.C
| | - Alexander Disch
- Department of Orthopaedics, University Hospital Carl Gustav Carus at the TU Dresden, Dresden, Saxony, Germany
| | - Aron Lazary
- National Center for Spinal Disorders, Budapest, Hungary
| | | | - Arjun Sahgal
- Department of Radiation Oncology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Laurence Rhines
- Department of Neurosurgery, Division of Surgery, The University of Texas MD Anderson Cancer Centre, Houston, Tex
| | - Charles G Fisher
- Spine Surgery Institute, Vancouver General Hospital, University of British Columbia, Vancouver, B.C
| | - Anne L Versteeg
- Division of Surgery, Department of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Roxanne Gal
- Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | - Leilani Reich
- Division of Spine, Department of Orthopaedics, University of British Columbia and Vancouver General Hospital, Vancouver, B.C
| | - Angela Tsang
- Division of Spine, Department of Orthopaedics, University of British Columbia and Vancouver General Hospital, Vancouver, B.C
| | - Allan Aludino
- Division of Spine, Department of Orthopaedics, University of British Columbia and Vancouver General Hospital, Vancouver, B.C
| | - Arjun Sahgal
- Department of Radiation Oncology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Jorrit-Jan Verlaan
- Department of Orthopaedic Surgery, University Medical Center Utrecht, Utrecht, Netherlands
| | - Charles G Fisher
- Division of Spine, Department of Orthopaedics, University of British Columbia and Vancouver General Hospital, Vancouver, B.C
| | - Lenny Verkooijen
- Division of Imaging and Cancer, University Medical Center Utrecht, Utrecht, Netherlands
| | | | | | | | | | | | | | | | | | | | - Mark A MacLean
- Department of Surgery, Dalhousie University, Halifax, N.S
| | | | | | | | - C Rory Goodwin
- Duke University Medical Center, Duke University, Durham, N.C
| | - Michael Weber
- Combined Neurological and Orthopedic Spine Program, McGill University, Montréal, Que
| | | | | | | | | | | | | | | | | | | | | | | | - Marcia Rebecca Correale
- University Health Network, Toronto Western Hospital, Schroeder Arthritis Institute, Toronto, Ont
- Department of Physical Therapy, University of Toronto, Toronto, Ont
| | - Leslie Jayne Soever
- University Health Network, Toronto Western Hospital, Schroeder Arthritis Institute, Toronto, Ont
- Department of Physical Therapy, University of Toronto, Toronto, Ont
| | - Raja Rampersaud
- University Health Network, Toronto Western Hospital, Schroeder Arthritis Institute, Toronto, Ont
- Department of Surgery, University of Toronto, Toronto, Ont
- Krembil Research Institute, Toronto, Ont
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Mohamed Sarraj
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | | | - Patrick Thornley
- Division of Orthopaedic Surgery, Western University, London, Ont
| | - Frank Koziarz
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | | | | | | | - Edward Kachur
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | - Mohit Bhandari
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | - Colby Oitment
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | - Armaan K Malhotra
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Michael Balas
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - Blessing N R Jaja
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - Erin M Harrington
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - Johann Hofereiter
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - Rachael H Jaffe
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Yingshi He
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - James P Byrne
- Department of Surgery, Johns Hopkins Hospital, Baltimore, Md
| | - Jefferson R Wilson
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Christopher D Witiw
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Ont
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | | | | | | | - Marcel F Dvorak
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Nathan Evaniew
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | | | | | | | | | | | - Charles G Fisher
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Raphaële Charest-Morin
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Tamir Ailon
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - John Street
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Brian K Kwon
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Ryan V Sandarage
- Neurosurgery Division, University of Ottawa, Ottawa, Ont
- The Ottawa Hospital, Ottawa, Ont
| | - Ahmad Galuta
- Neurosurgery Division, University of Ottawa, Ottawa, Ont
| | | | - Jason C S Kwan
- Neurosurgery Division, University of Ottawa, Ottawa, Ont
| | - Eve C TsaI
- Neurosurgery Division, University of Ottawa, Ottawa, Ont
- The Ottawa Hospital, Ottawa, Ont
| | - Laureen D Hachem
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ont
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - James Hong
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - Alexander Velumian
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ont
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - Andrea J Mothe
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - Charles H Tator
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ont
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - Michael G Fehlings
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ont
- Krembil Research Institute, University Health Network, Toronto, Ont
| | - Husain Shakil
- Department of Surgery, Neurosurgery Division, University of Toronto, Toronto, Ont
- Unity Health Toronto, Toronto, Ont
| | | | | | - Rachael Jaffe
- Department of Surgery, Neurosurgery Division, University of Toronto, Toronto, Ont
- Unity Health Toronto, Toronto, Ont
| | - Armaan K Malhotra
- Department of Surgery, Neurosurgery Division, University of Toronto, Toronto, Ont
- Unity Health Toronto, Toronto, Ont
| | - Jefferson R Wilson
- Department of Surgery, Neurosurgery Division, University of Toronto, Toronto, Ont
- Unity Health Toronto, Toronto, Ont
| | - Christopher D Witiw
- Department of Surgery, Neurosurgery Division, University of Toronto, Toronto, Ont
- Unity Health Toronto, Toronto, Ont
| | | | - Marcel F Dvorak
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Nathan Evaniew
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | - Melody Chen
- Praxis Spinal Cord Institute, Vancouver, B.C
| | | | - Jijie Xu
- Praxis Spinal Cord Institute, Vancouver, B.C
| | | | | | - Brian Kwon
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Charlotte Dandurand
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Sander Muijs
- University Medical Center Utrecht, Utrecht, Netherlands
| | - Marcel Dvorak
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Klaus Schnake
- Malteser Waldkrankenhaus Erlangen, Erlangen, Bavaria, Germany
| | | | - Ouml Ner
- University Medical Center Utrecht, Utrecht, Netherlands
| | - Ryan Greene
- Division of Neurosurgery, Dalhousie University, Halifax, N.S
- Neurosurgery Division, Memorial University of Newfoundland, St. John's, N.L
| | - Bradley Furlong
- Neurosurgery Division, Memorial University of Newfoundland, St. John's, N.L
| | | | - Michelle Swab
- Neurosurgery Division, Memorial University of Newfoundland, St. John's, N.L
| | - Sean D Christie
- Division of Neurosurgery, Dalhousie University, Halifax, N.S
| | - Amanda Hall
- Neurosurgery Division, Memorial University of Newfoundland, St. John's, N.L
| | | | | | | | - Marcel F Dvorak
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | | | - Ouml Ner
- University Medical Centre Utrecht, Utrecht, Netherlands
| | | | | | | | | | | | - Jin Wee Tee
- Alfred Hospital, Melbourne, Victoria, Australia
| | | | - John C France
- Orthopedics, West Virginia University, Morgantown, W.V
| | - Richard Allen
- Department of Orthopaedic Surgery, University of California at San Diego, San Diego, Calif
| | | | | | | | - Charlotte Dandurand
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | | | - Ouml Ner
- University Medical Center Utrecht, Utrecht, Netherlands
| | - Sander Muijs
- University Medical Center Utrecht, Utrecht, Netherlands
| | - Klaus Schnake
- Malteser Waldkrankenhaus Erlangen, Erlangen, Bavaria, Germany
| | - Marcel Dvorak
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | | | | | | | | | | | | | | | | | | | | | | | | | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | | | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | | | | | | | | | | | | | | | - Mathieu Laflamme
- Centre hospitalier universitaire de Québec, Université Laval, Québec, Que
| | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | | | | | | | | | | | - Julien Goulet
- Orthopaedic Surgery Division, Université de Sherbrooke, Sherbrooke, Que
| | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Sonia Bedard
- Neurosurgery Division, Université de Sherbrooke, Sherbrooke, Que
| | - Newton Pimenta
- Neurosurgery Division, Université de Sherbrooke, Sherbrooke, Que
| | - Jocelyn Blanchard
- Orthopaedic Surgery Division, Université de Sherbrooke, Sherbrooke, Que
| | - Jerome Couture
- Orthopaedic Surgery Division, Université de Sherbrooke, Sherbrooke, Que
| | - Bernard LaRue
- Orthopaedic Surgery Division, Université de Sherbrooke, Sherbrooke, Que
| | | | - Tyler Adams
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Erin Cunningham
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Dana El-Mughayyar
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Erin Bigney
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Amanda Vandewint
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
| | - Niel Manson
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Edward Abraham
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Chris Small
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Najmedden Attabib
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Eden Richardson
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Jeffery Hebert
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
| | - Michael Bond
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | - John Street
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Raphaele Charest-Morin
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Jason M Sutherland
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | - Troy Hillier
- Faculty of Medicine, Dalhousie University, Halifax, N.S
| | - Chris S Bailey
- Orthopaedic Surgery Division, Western University, London, Ont
| | - Charles Fisher
- Combined Neurosurgical and Orthopedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Raja Rampersaud
- Orthopaedic Surgery Division, University of Toronto, Toronto, Ont
| | | | - R Andrew Glennie
- Orthopaedic Surgery Division, Dalhousie University, Halifax, N.S
| | | | | | | | | | | | | | | | - David Ben-Israel
- Department of Orthopaedic Surgery and Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Eric J Crawford
- Orthopaedic Surgery Division, University of Toronto, Toronto, Ont
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Nicolas Dea
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Eldon Spackman
- Department of Orthopaedic Surgery and Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Raja Rampersaud
- Orthopaedic Surgery Division, University of Toronto, Toronto, Ont
| | - Kenneth C Thomas
- Department of Orthopaedic Surgery and Clinical Neurosciences, University of Calgary, Calgary, Alta
| | | | | | | | | | - Ahmed Cherry
- Toronto Western Hospital, University Health Network, Toronto, Ont
| | - Aditiya Raj
- Toronto Western Hospital, University Health Network, Toronto, Ont
| | - Mark Xu
- Toronto Western Hospital, University Health Network, Toronto, Ont
| | - Carlo Iorio
- Toronto Western Hospital, University Health Network, Toronto, Ont
| | - Chris Bailey
- London Health Sciences Centre, London, Ont
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Nicolas Dea
- Canadian Spine Outcomes and Research Network, Markdale, Ont
- Vancouver Spine Surgery Institute, Vancouver, B.C
| | - Charles Fisher
- Canadian Spine Outcomes and Research Network, Markdale, Ont
- Vancouver Spine Surgery Institute, Vancouver, B.C
| | - Hamilton Hall
- Canadian Spine Outcomes and Research Network, Markdale, Ont
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Neil Manson
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Kenneth Thomas
- Canadian Spine Outcomes and Research Network, Markdale, Ont
- Department of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | - Mayilee Canizares
- Canadian Spine Outcomes and Research Network, Markdale, Ont
- Arthritis Program, Krembil Research Institute, University Health Network, Toronto, Ont
| | - Yoga Raja Rampersaud
- Toronto Western Hospital, University Health Network, Toronto, Ont
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Jennifer Urquhart
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Renan R Fernandes
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - R Andrew Glennie
- Departments of Orthopedics and Neurosurgery, Dalhousie University, Halifax, N.S
| | | | - Charles G Fisher
- Department of Surgery, University of British Columbia, Vancouver, B.C
| | - Chris Bailey
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Michael M H Yang
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
- O'Brien Institute of Public Health, Calgary, Alta
| | - Rena Far
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Tolulope Sajobi
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Jay Riva-Cambrin
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Steven Casha
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Michael Bond
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | - John Street
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Raphaele Charest-Morin
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Jason M Sutherland
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, B.C
| | | | | | | | | | | | | | | | | | - James McDonald
- Division of Orthopaedics, Department of Surgery, Memorial University of Newfoundland, St. John's, N.L
| | | | | | - Abdulmajeed Alahmari
- Division of Orthopaedics, Department of Surgery, Western University, London, Ont
| | - Raja Rampersaud
- Department of Orthopaedic Surgery, Toronto Western Hospital, Toronto, Ont
| | - Charles Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, Vancouver General Hospital and the University of British Columbia, Vancouver, B.C
| | - Chris Bailey
- Division of Orthopaedics, Department of Surgery, Western University, London, Ont
| | - Andrew Glennie
- Division of Orthopedics, Dalhousie University, Halifax, N.S
| | - Nathan Evaniew
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | - Matthew Coyle
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | | | | | - W Bradley Jacobs
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | - David W Cadotte
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | - Kenneth C Thomas
- Division of Orthopaedic Surgery, University of Calgary, Calgary, Alta
| | | | - Jérôme Paquet
- Department of Surgery, Université de Québec, Québec, Que
| | - Andrew Nataraj
- Neurosurgery Division, University of Alberta, Edmonton, Alta
| | - Sean D Christie
- Division of Neurosurgery, Dalhousie University, Halifax, N.S
| | - Michael H Weber
- Orthopaedic Surgery Division, McGill University, Montréal, Que
| | - Philippe Phan
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | - Raphaële Charest-Morin
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Charles G Fisher
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Hamilton Hall
- Department of Surgery, University of Toronto, Toronto, Ont
| | | | - Nicolas Dea
- Combined Neurosurgical and Orthopaedic Spine Program, University of British Columbia, Vancouver, B.C
| | - Armaan K Malhotra
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ont
| | - Aileen M Davis
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ont
| | - Yingshi He
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
| | - Erin M Harrington
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
| | - Blessing N R Jaja
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
| | - Mary P Zhu
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
| | - Husain Shakil
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ont
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - W Bradley Jacobs
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - David W Cadotte
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Jérôme Paquet
- Centre de recherche du Centre hospitalier universitaire (CHU) de Québec, CHU de Québec-Université Laval, Québec, Que
| | - Michael H Weber
- Division of Orthopedic Surgery, McGill University, Montréal, Que
| | | | - Sean D Christie
- Division of Neurosurgery, Dalhousie University, Halifax, N.S
| | - Andrew Nataraj
- Division of Neurosurgery, Department of Surgery, University of Alberta Hospital, Edmonton, Alta
| | - Christopher S Bailey
- Division of Orthopaedics, Western University, London Health Sciences Centre, London, Ont
| | - Michael G Johnson
- Department of Surgery, Section of Orthopaedics and Neurosurgery, University of Manitoba, Winnipeg, Man
| | - Charles G Fisher
- Combined Neurosurgical and Orthopedic Spine Program, Vancouver General Hospital, Vancouver, B.C
| | - Neil Manson
- Canada East Spine Centre, Saint John Orthopedics, Dalhousie University, Saint John, N.B
| | - Y Raja Rampersaud
- Division of Orthopaedic Surgery and Neurosurgery, Toronto Western Hospital, Toronto, Ont
| | - Kenneth C Thomas
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alta
| | - Hamilton Hall
- Department of Surgery, University of Toronto, Toronto, Ont
| | - Michael G Fehlings
- Division of Orthopaedic Surgery and Neurosurgery, Toronto Western Hospital, Toronto, Ont
| | - Henry Ahn
- Division of Orthopedic Surgery, St Michael's Hospital, Toronto, Ont
| | - Howard J Ginsberg
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
| | - Christopher D Witiw
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital, Toronto, Ont
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ont
| | - Jefferson R Wilson
- Canada East Spine Centre, Saint John Orthopedics, Dalhousie University, Saint John, N.B
| | - Alwalaa Althagafi
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopaedic Surgery, University of British Columbia, Vancouver, B.C
| | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Raphaële Charest-Morin
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopaedic Surgery, University of British Columbia, Vancouver, B.C
| | - Michael A Rizzuto
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopedic Surgery, University of British Columbia, Vancouver, B.C
| | - Tamir Ailon
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopedic Surgery, University of British Columbia, Vancouver, B.C
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopedic Surgery, University of British Columbia, Vancouver, B.C
| | - Nathan Evaniew
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | - Bradley W Jacobs
- Combined Neurosurgical and Orthopedic Spine Program, University of Calgary, Calgary, Alta
| | - Jerome Paquet
- Centre de recherche du Centre hospitalier universitaire (CHU) de Québec, CHU de Québec-Université Laval, Québec, Que
| | - Raja Rampersaud
- Divisions of Orthopaedics and Neurosurgery, University of Toronto, Toronto, Ont
| | - Hamilton Hall
- Department of Surgery, University of Toronto, Toronto, Ont
| | - Christopher S Bailey
- Department of Orthopedic Surgery, London Health Sciences Centre, Western University, London, Ont
| | - Michael Weber
- Department of Orthopedic Surgery, McGill University Health Centre, Montréal, Que
| | - Michael G Johnson
- Department of Surgery, Section of Orthopedics and Neurosurgery, University of Manitoba, Winnipeg, Man
| | - Andrew Nataraj
- Division of Neurosurgery, Department of Surgery, University of Alberta Hospital, Edmonton, Alta
| | - Najmedden Attabib
- Canada East Spine Centre, Division of Neurosurgery, Zone 2, Horizon Health Network, Saint John, N.B
| | - David W Cadotte
- Combined Neurosurgical and Orthopedic Spine Program, University of Calgary, Calgary, Alta
| | - Neil Manson
- Canada East Spine Centre, Saint John Orthopedics, Dalhousie Medicine New Brunswick, Saint John Campus, Saint John, N.B
| | | | - Sean D Christie
- Division of Neurosurgery, Dalhousie University, Halifax, N.S
| | - Kenneth C Thomas
- Divisions of Orthopaedics and Neurosurgery, University of Toronto, Toronto, Ont
| | | | - Charles G Fisher
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopedic Surgery, University of British Columbia, Vancouver, B.C
| | - Raphaele Charest-Morin
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopedic Surgery, University of British Columbia, Vancouver, B.C
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Vishal P Varshney
- Department of Anesthesia, Providence Healthcare, Vancouver, B.C
- Department of Anesthesiology, Pharmacology, Therapeutics, University of British Columbia, Vancouver, B.C
| | - Ramesh Sahjpaul
- Department of Anesthesia, Providence Healthcare, Vancouver, B.C
- Department of Anesthesiology, Pharmacology, Therapeutics, University of British Columbia, Vancouver, B.C
- Division of Neurosurgery, University of British Columbia, Vancouver, B.C
| | - Scott Paquette
- Department of Anesthesia, Providence Healthcare, Vancouver, B.C
- Department of Anesthesiology, Pharmacology, Therapeutics, University of British Columbia, Vancouver, B.C
- Division of Neurosurgery, University of British Columbia, Vancouver, B.C
| | - Jill Osborn
- Department of Anesthesia, Providence Healthcare, Vancouver, B.C
- Department of Anesthesiology, Pharmacology, Therapeutics, University of British Columbia, Vancouver, B.C
| | | | | | | | | | | | | | | | | | | | | | | | - Greg McIntosh
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | | | | | | | | | - Mark Xu
- University Health Network, Toronto, Ont
| | | | | | | | - Alexandra Stratton
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - Sarah Tierney
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - Eugene K Wai
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - Philippe Phan
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - Stephen Kingwell
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | | | | | | | | | | | | | - Barend Spanninga
- Laboratory for Experimental Orthopaedics, Department of Orthopaedic Surgery, Maastricht University, Maastricht, Limburg, Netherlands
| | - Thomáy-Claire A Hoelen
- Department of Orthopaedic Surgery, Care and Public Health Research Institute, Maastricht University Medical Center, Maastricht, Limburg, Netherlands
| | | | - Jacobus J C Arts
- Department of Orthopaedic Surgery, Care and Public Health Research Institute, Maastricht University Medical Center, Maastricht, Limburg, Netherlands
- Orthopaedic Biomechanics, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, North Brabant, Netherlands
| | - Chris S Bailey
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - Jennifer C Urquhart
- London Health Sciences Centre Combined Neurosurgical and Orthopaedic Spine Program, Schulich School of Medicine, Western University, London, Ont
| | - R Andrew Glennie
- Departments of Orthopedics and Neurosurgery, Dalhousie University, Halifax, N.S
| | | | - Charles G Fisher
- Department of Surgery, University of British Columbia, Vancouver, B.C
| | | | - Lior M Elkaim
- Department of Neurology and Neurosurgery, McGill University, Montréal, Que
| | - Naif M Alotaibi
- Department of Neurosurgery, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Michael H Weber
- Department of Orthopaedic Surgery, McGill University, Montréal, Que
| | - Nicolas Dea
- Combined Neurosurgical and Orthopedic Spine Program, Department of Orthopaedic Surgery, University of British Columbia, Vancouver, B.C
| | | | | | - Albert Yee
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Nadia Jaber
- University of Toronto Spine Program, University of Toronto, Toronto, Ont
| | | | - Erin Cunningham
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Tyler Adams
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Dana El-Mughayyar
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Erin Bigney
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
| | - Amanda Vandewint
- Canada East Spine Centre, Saint John, N.B
- Faculty of Medicine, Dalhousie University, Saint John, N.B
| | - Neil Manson
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Edward Abraham
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Chris Small
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | | | | | - Jeffery Hebert
- Faculty of Medicine, University of New Brunswick, Fredericton, N.B
| | - Joel Werier
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | - Kevin Smit
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
- Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - James Villeneuve
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | - Adam Sachs
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | - Hesham Abdelbary
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | | | - Kawan Rakhra
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | - Philippe Phan
- Ottawa Hospital, Ottawa, Ont
- Ottawa Hospital Research Institute, Ottawa, Ont
- Orthopaedic Surgery Division, University of Ottawa, Ottawa, Ont
| | | | | | | | | | | | | | - Robert Koucheki
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ont
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ont
| | - Aazad Abbas
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ont
| | - Johnathan Lex
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ont
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
| | - Nicholas Nucci
- Division of Orthopedic Surgery, University of Ottawa, Ottawa, Ont
| | - Cari Whyne
- Holland Musculoskeletal Research Program, Sunnybrook Research Institute, Toronto, Ont
| | - Jeremie Larouche
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
- Department of Orthopedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Henry Ahn
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
- Department of Orthopedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Joel Finkelstein
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
- Department of Orthopedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Stephen Lewis
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
- Department of Orthopedic Surgery, Toronto Western Hospital, Toronto, Ont
| | - Jay Toor
- Division of Orthopedic Surgery, University of Toronto, Toronto, Ont
| | - Nathan J Lee
- Columbia University Medical Center, New York, N.Y
| | | | | | | | | | | | | | | | - Eric J Crawford
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Robert A Ravinsky
- Department of Orthopaedics & Physical Medicine, Medical University of South Carolina, Charleston, S.C
| | - Anthony V Perruccio
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
- Schroeder Arthritis Institute, University Health Network, Toronto, Ont
| | - Peter C Coyte
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont
| | - Y Raja Rampersaud
- Schroeder Arthritis Institute, University Health Network, Toronto, Ont
- Division of Orthopaedic Surgery, Toronto Western Hospital, University Health Network & University of Toronto, Toronto, Ont
| | | | - Mohamed Sarraj
- Orthopaedic Surgery Division, McMaster University, Hamilton, Ont
| | - Fawaz AlShaalan
- King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia
| | - Alex Koziarz
- Orthopaedic Surgery Division, McMaster University, Hamilton, Ont
| | | | | | - Colby Oitment
- Orthopaedic Surgery Division, McMaster University, Hamilton, Ont
| | - Lalita Bharadwaj
- Orthopaedic Surgery Division, University of New Brunswick, Fredericton, N.B
| | - Dana El-Mughayyar
- Orthopaedic Surgery Division, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Erin Bigney
- Orthopaedic Surgery Division, University of New Brunswick, Fredericton, N.B
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
| | - Neil Manson
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Edward Abraham
- Canada East Spine Centre, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
- Saint John Orthopaedics, Saint John, N.B
| | - Chris Small
- Canada East Spine Centre, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
- Saint John Orthopaedics, Saint John, N.B
| | - Najmedden Attabib
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Dalhousie Medicine New Brunswick, Saint John, N.B
| | - Eden Richardson
- Canada East Spine Centre, Saint John, N.B
- Horizon Health Network, Saint John, N.B
- Canadian Spine Outcomes and Research Network, Markdale, Ont
| | | | | | | | - Jeffrey Hebert
- Orthopaedic Surgery Division, University of New Brunswick, Fredericton, N.B
| | - Lior M Elkaim
- Department of Neurology and Neurosurgery, McGill University, Montréal, Que
| | | | - Farbod Niazi
- Faculty of Medicine, Université de Montréal, Montréal, Que
| | - Rakan Bokhari
- Department of Neurology and Neurosurgery, McGill University, Montréal, Que
| | | | - Oliver J Lasry
- Department of Neurology and Neurosurgery, McGill University, Montréal, Que
| | | | | | - Varun S Muddaluru
- Graduate Entry Medicine, Royal College of Surgeons in Ireland, Dublin, Leinster, Ireland
| | - Pranjan Gandhi
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ont
| | | | - Daipayan Guha
- Division of Neurosurgery, McMaster University, Hamilton, Ont
| | - Markian A Pahuta
- Division of Orthopaedic Surgery, McMaster University, Hamilton, Ont
| | | | | | | | | | - Mamdoh Alhawsawi
- King Saud Medical City, Riyadh, Saudi Arabia
- Ottawa Civic Hospital, Ottawa, Ont
| | | | | | - Feras Qumquji
- King Saud Medical City, Riyadh, Saudi Arabia
- Ottawa Civic Hospital, Ottawa, Ont
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Marcelo Oppermann
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Shaurya Gupta
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Joel Ramjist
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Priscila Santos Oppermann
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
| | - Victor X D Yang
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | | | - Lior M Elkaim
- Department of Neurology and Neurosurgery, McGill University, Montréal, Que
| | - Farbod Niazi
- Faculty of Medicine, Université de Montréal, Montréal, Que
| | - Michael H Weber
- Department of Orthopaedic Surgery, McGill University, Montréal, Que
| | - Christian Ioro-Morin
- Service de neurochirurgie, Département de chirurgie, Université de Sherbrooke, Sherbrooke, Que
| | - Marco Bonizzato
- Department of Electrical Engineering and Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Que
- Department of Neuroscience and Centre interdisciplinaire sur le cerveau et l'apprentissage, Université de Montréal, Montréal, Que
| | - Alexander G Weil
- Division of Neurosurgery, St-Justine University Hospital, Montréal, Que
| | - Marcelo Oppermann
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Joel Ramjist
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Shaurya Gupta
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Priscila S Oppermann
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
| | - Victor X D Yang
- Department of Clinical Neurological Science, Schulich School of Medicine & Dentistry, Western University, London, Ont
- Department of Electrical Computer & Biomedical Engineering, Toronto Metropolitan University, Toronto, Ont
| | - Youngkyung Jung
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ont
| | - Varun Muddalaru
- Royal College of Surgeons in Ireland, Dublin, Leinster, Ireland
| | - Pranjan Gandhi
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ont
| | - Daipayan Guha
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ont
| | | | | | - Aazad Abbas
- Faculty of Medicine, University of Toronto, Toronto, Ont
| | - Johnathan R Lex
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
| | - Nicholas Nucci
- Division of Orthopedic Surgery, University of Ottawa, Ottawa, Ont
| | - Cari Whyne
- Sunnybrook Holland Musculoskeletal Research Program, Toronto, Ont
| | - Albert Yee
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Henry Ahn
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- St. Michael's Hospital, Toronto, Ont
| | - Joel Finkelstein
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Jeremie Larouche
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Stephen Lewis
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
- Toronto Western Hospital, Toronto, Ont
| | - Jay Toor
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
| | - Alaina Dhawan
- Faculty of Health Sciences, Queen's University, Kingston, Ont
| | - Jillian Dhawan
- Faculty of Health Sciences, Queen's University, Kingston, Ont
| | - Ajay N Sharma
- Faculty of Health Sciences, University of California, Irvine, Calif
| | - Daniel B Azzam
- Faculty of Health Sciences, Tufts University, Boston, Mass
| | - Ahmed Cherry
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ont
| | | | | | - Nathan J Lee
- Columbia University Medical Center, New York, N.Y
| | | | | | | | | | | | | | | | | | | | | | - Elizabeth Byers
- Biomedical Engineering, Pennsylvania State University, University Park, Pa
| | | | | | - Justin L Brown
- Biomedical Engineering, Pennsylvania State University, University Park, Pa
| | | | | | | | | | | | | | | | | | | | | | - Shevaughn Dell
- University Hospital of the West Indies, Kingston, Jamaica
| | | | - Kevin Wade
- University Hospital of the West Indies, Kingston, Jamaica
| | | | - Carl Bruce
- Department of Surgery, University of the West Indies, Jamaica
| | | | - Newton Pimenta
- Surgery Department, Université de Sherbrooke, Sherbrooke, Que
| | - Bernard LaRue
- Surgery Department, Université de Sherbrooke, Sherbrooke, Que
| | - Salman Aldakhil
- Surgery Department, Université de Sherbrooke, Sherbrooke, Que
| | | | - Jerome Couture
- Surgery Department, Université de Sherbrooke, Sherbrooke, Que
| | - Julien Goulet
- Surgery Department, Université de Sherbrooke, Sherbrooke, Que
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5
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Abbas A, Olotu O, Abdic S, Yee A, Larouche J, Whyne C, Morra D, Toor J. Key Stakeholder Perceptions of Standard vs. Total Cost of Ownership: A Procurement Analysis for Orthopaedic-Powered Instruments. Healthc Q 2023; 26:59-64. [PMID: 37144703 DOI: 10.12927/hcq.2023.27050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
This study compares standard procurement methodology (SPM) with total cost of ownership (TCO) methodology for the procurement of orthopaedic-powered instruments. The authors conducted semi-structured standardized interviews with key hospital procurement stakeholders following consolidated criteria for reporting qualitative research. Of the 33 hospital procurement stakeholders interviewed, all (100%) reported that SPM would be easier to use than TCO. However, only six (18%) preferred SPM over TCO. Barriers to the adoption of TCO emerged as a theme. Creating TCO frameworks can help to simplify the process for procurement agents and facilitate its adoption in the healthcare sector.
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Affiliation(s)
- Aazad Abbas
- Is a medical student at the University of Toronto's Temerty Faculty of Medicine in Toronto, ON. He can be reached by e-mail at
| | - Olumide Olotu
- Is an orthopaedic surgery resident in the Division of Orthopaedic Surgery at the University of Western Ontario in London, ON
| | - Sejla Abdic
- Is an independent researcher at The Roth McFarlane Hand and Upper Limb Centre, St. Joseph's Hospital, London, ON
| | - Albert Yee
- Is an orthopaedic spine surgeon and the research chair at the University of Toronto's Division of Orthopaedics in Toronto, ON
| | - Jeremie Larouche
- Is an orthopaedic spine surgeon at the University of Toronto's Division of Orthopaedics in Toronto, ON
| | - Cari Whyne
- Is the Director of the Orthopaedic Biomechanics Lab at the Sunnybrook Health Sciences Centre and a professor, Department of Surgery, Faculty of Medicine, University of Toronto, in Toronto, ON
| | - Dante Morra
- Is a professor at the Temerty Faculty of Medicine in the University of Toronto and the chief of staff at Trillium Health Partners in Mississauga, ON
| | - Jay Toor
- Is a spine surgery fellow at the University of Toronto's Division of Orthopaedic Surgery in Toronto, ON
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6
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Tat J, Bodansky D, Sheth U, Ung Y, Whyne C, Nam D. Predicting Pathological Fractures at Metastatic Humeral Lesions. JB JS Open Access 2023; 8:e22.00070. [PMID: 37123507 PMCID: PMC10132712 DOI: 10.2106/jbjs.oa.22.00070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/02/2023] Open
Abstract
The humerus is the second most common site of metastatic disease involving long bones, yet it is still unclear which patients are at high risk for a fracture and may require prophylactic surgical fixation. The goal of this study was to assess the validity of the Mirels score to predict fractures of metastatic lesions in the humerus. Methods We performed a retrospective electronic chart review of patients with humeral metastases at our institution (2005 to 2021), with 188 patients meeting the inclusion criteria. Sixty-one of the patients developed a fracture during follow-up. The metastatic humeral lesions were scored according to the Mirels rating system and additional radiographic criteria (cortical breach, location within the humerus, number of lesions). The predictive value of each Mirels score cutoff for fracture was assessed using sensitivity, specificity, area under the receiver operating characteristic curve (AUC), and multivariate logistic regression. Survivorship until fracture was analyzed for each Mirels score cutoff using Kaplan-Meier curves and the log-rank test. Significance was set at p < 0.01. Results There were no significant differences in age, sex, side of the lesion, type of malignancy, and radiation dose between the groups with and without fracture (all p > 0.01). A Mirels score of ≥8 points had the best predictive profile, with sensitivity of 83.6%, specificity of 79.5%, and AUC of 0.82 (95% confidence interval [CI], 0.75 to 0.88, p < 0.01). A logistic regression model also demonstrated that a Mirels score of ≥8 (odds ratio = 5.8, 95% CI = 1.9 to 18.2, p < 0.01) and a cortical breach (odds ratio = 21.0, 95% CI = 5.7 to 77.2, p < 0.01) were significant predictors of pathological fracture. No other radiographic characteristics were found to be significant predictors of fracture. Conclusions This study indicated that a Mirels score of ≥8 points had the best predictive profile for anticipating fractures at a metastasis in the humerus. This is in contrast to the traditional Mirels definition of an impending pathological fracture that is used for the lower extremity, a score of ≥9. Additionally, the presence of a cortical breach was a significant predictor of fracture risk. Level of Evidence Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
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Affiliation(s)
- Jimmy Tat
- Sunnybrook Orthopaedic Upper Limb (SOUL), Division of Orthopaedic Surgery, Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - David Bodansky
- Sunnybrook Orthopaedic Upper Limb (SOUL), Division of Orthopaedic Surgery, Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Ujash Sheth
- Sunnybrook Orthopaedic Upper Limb (SOUL), Division of Orthopaedic Surgery, Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Yee Ung
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Cari Whyne
- Sunnybrook Orthopaedic Upper Limb (SOUL), Division of Orthopaedic Surgery, Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Diane Nam
- Sunnybrook Orthopaedic Upper Limb (SOUL), Division of Orthopaedic Surgery, Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Entezari B, Koucheki R, Abbas A, Toor J, Wolfstadt JI, Ravi B, Whyne C, Lex JR. Improving Resource Utilization for Arthroplasty Care by Leveraging Machine Learning and Optimization: A Systematic Review. Arthroplast Today 2023; 20:101116. [PMID: 36938350 PMCID: PMC10014272 DOI: 10.1016/j.artd.2023.101116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 01/28/2023] [Indexed: 03/21/2023] Open
Abstract
Background There is a growing demand for total joint arthroplasty (TJA) surgery. The applications of machine learning (ML), mathematical optimization, and computer simulation have the potential to improve efficiency of TJA care delivery through outcome prediction and surgical scheduling optimization, easing the burden on health-care systems. The purpose of this study was to evaluate strategies using advances in analytics and computational modeling that may improve planning and the overall efficiency of TJA care. Methods A systematic review including MEDLINE, Embase, and IEEE Xplore databases was completed from inception to October 3, 2022, for identification of studies generating ML models for TJA length of stay, duration of surgery, and hospital readmission prediction. A scoping review of optimization strategies in elective surgical scheduling was also conducted. Results Twenty studies were included for evaluating ML predictions and 17 in the scoping review of scheduling optimization. Among studies generating linear or logistic control models alongside ML models, only 1 found a control model to outperform its ML counterpart. Furthermore, neural networks performed superior to or at the same level as conventional ML models in all but 1 study. Implementation of mathematical and simulation strategies improved the optimization efficiency when compared to traditional scheduling methods at the operational level. Conclusions High-performing predictive ML-based models have been developed for TJA, as have mathematical strategies for elective surgical scheduling optimization. By leveraging artificial intelligence for outcome prediction and surgical optimization, there exist greater opportunities for improved resource utilization and cost-savings in TJA than when using traditional modeling and scheduling methods.
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Affiliation(s)
- Bahar Entezari
- Granovsky Gluskin Division of Orthopaedics, Mount Sinai Hospital, Toronto, Ontario, Canada
- Queen’s University School of Medicine, Kingston, Ontario, Canada
- Corresponding author. Mount Sinai Hospital, 15 Arch Street, Kingston, Ontario, Canada K7L 3N6. Tel.: +1 647 866 8729.
| | - Robert Koucheki
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Aazad Abbas
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Jay Toor
- Division of Orthopaedic Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jesse I. Wolfstadt
- Granovsky Gluskin Division of Orthopaedics, Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of Orthopaedic Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Bheeshma Ravi
- Division of Orthopaedic Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Orthopaedic Surgery, Holland Bone and Joint Program, Sunnybrook Health Science Centre, Toronto, Ontario, Canada
| | - Cari Whyne
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Division of Orthopaedic Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Orthopaedic Surgery, Holland Bone and Joint Program, Sunnybrook Health Science Centre, Toronto, Ontario, Canada
| | - Johnathan R. Lex
- Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Division of Orthopaedic Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
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Abstract
An objective technological solution for tracking adherence to at-home shoulder physiotherapy is important for improving patient engagement and rehabilitation outcomes, but remains a significant challenge. The aim of this research was to evaluate performance of machine-learning (ML) methodologies for detecting and classifying inertial data collected during in-clinic and at-home shoulder physiotherapy exercise. A smartwatch was used to collect inertial data from 42 patients performing shoulder physiotherapy exercises for rotator cuff injuries in both in-clinic and at-home settings. A two-stage ML approach was used to detect out-of-distribution (OOD) data (to remove non-exercise data) and subsequently for classification of exercises. We evaluated the performance impact of grouping exercises by motion type, inclusion of non-exercise data for algorithm training, and a patient-specific approach to exercise classification. Algorithm performance was evaluated using both in-clinic and at-home data. The patient-specific approach with engineered features achieved the highest in-clinic performance for differentiating physiotherapy exercise from non-exercise activity (area under the receiver operating characteristic (AUROC) = 0.924). Including non-exercise data in algorithm training further improved classifier performance (random forest, AUROC = 0.985). The highest accuracy achieved for classifying individual in-clinic exercises was 0.903, using a patient-specific method with deep neural network model extracted features. Grouping exercises by motion type improved exercise classification. For at-home data, OOD detection yielded similar performance with the non-exercise data in the algorithm training (fully convolutional network AUROC = 0.919). Including non-exercise data in algorithm training improves detection of exercises. A patient-specific approach leveraging data from earlier patient-supervised sessions should be considered but is highly dependent on per-patient data quality.
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Affiliation(s)
- Philip Boyer
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada
- Sunnybrook Research Institute, Toronto, Canada
| | - David Burns
- Harborview Medical Center, Seattle, Washington, USA
- University of Washington, Seattle, Washington, USA
| | - Cari Whyne
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada
- Sunnybrook Research Institute, Toronto, Canada
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Canada
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9
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Lex JR, Di Michele J, Koucheki R, Pincus D, Whyne C, Ravi B. Artificial Intelligence for Hip Fracture Detection and Outcome Prediction: A Systematic Review and Meta-analysis. JAMA Netw Open 2023; 6:e233391. [PMID: 36930153 PMCID: PMC10024206 DOI: 10.1001/jamanetworkopen.2023.3391] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
IMPORTANCE Artificial intelligence (AI) enables powerful models for establishment of clinical diagnostic and prognostic tools for hip fractures; however the performance and potential impact of these newly developed algorithms are currently unknown. OBJECTIVE To evaluate the performance of AI algorithms designed to diagnose hip fractures on radiographs and predict postoperative clinical outcomes following hip fracture surgery relative to current practices. DATA SOURCES A systematic review of the literature was performed using the MEDLINE, Embase, and Cochrane Library databases for all articles published from database inception to January 23, 2023. A manual reference search of included articles was also undertaken to identify any additional relevant articles. STUDY SELECTION Studies developing machine learning (ML) models for the diagnosis of hip fractures from hip or pelvic radiographs or to predict any postoperative patient outcome following hip fracture surgery were included. DATA EXTRACTION AND SYNTHESIS This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses and was registered with PROSPERO. Eligible full-text articles were evaluated and relevant data extracted independently using a template data extraction form. For studies that predicted postoperative outcomes, the performance of traditional predictive statistical models, either multivariable logistic or linear regression, was recorded and compared with the performance of the best ML model on the same out-of-sample data set. MAIN OUTCOMES AND MEASURES Diagnostic accuracy of AI models was compared with the diagnostic accuracy of expert clinicians using odds ratios (ORs) with 95% CIs. Areas under the curve for postoperative outcome prediction between traditional statistical models (multivariable linear or logistic regression) and ML models were compared. RESULTS Of 39 studies that met all criteria and were included in this analysis, 18 (46.2%) used AI models to diagnose hip fractures on plain radiographs and 21 (53.8%) used AI models to predict patient outcomes following hip fracture surgery. A total of 39 598 plain radiographs and 714 939 hip fractures were used for training, validating, and testing ML models specific to diagnosis and postoperative outcome prediction, respectively. Mortality and length of hospital stay were the most predicted outcomes. On pooled data analysis, compared with clinicians, the OR for diagnostic error of ML models was 0.79 (95% CI, 0.48-1.31; P = .36; I2 = 60%) for hip fracture radiographs. For the ML models, the mean (SD) sensitivity was 89.3% (8.5%), specificity was 87.5% (9.9%), and F1 score was 0.90 (0.06). The mean area under the curve for mortality prediction was 0.84 with ML models compared with 0.79 for alternative controls (P = .09). CONCLUSIONS AND RELEVANCE The findings of this systematic review and meta-analysis suggest that the potential applications of AI to aid with diagnosis from hip radiographs are promising. The performance of AI in diagnosing hip fractures was comparable with that of expert radiologists and surgeons. However, current implementations of AI for outcome prediction do not seem to provide substantial benefit over traditional multivariable predictive statistics.
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Affiliation(s)
- Johnathan R. Lex
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Orthopaedics Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Joseph Di Michele
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Robert Koucheki
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Daniel Pincus
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Division of Orthopaedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Cari Whyne
- Orthopaedics Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Bheeshma Ravi
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Division of Orthopaedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Dahm F, Syed H, Tomescu S, Lin HA, Haimovich Y, Chandrashekar N, Whyne C, Wasserstein D. Biomechanical Comparison of 3 Medial Patellofemoral Complex Reconstruction Techniques Shows Medial Overconstraint but No Significant Difference in Patella Lateralization and Contact Pressure. Arthroscopy 2023; 39:662-669. [PMID: 36328339 DOI: 10.1016/j.arthro.2022.10.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 09/29/2022] [Accepted: 10/18/2022] [Indexed: 11/07/2022]
Abstract
PURPOSE The purpose of this study was to investigate biomechanical differences of medial patellofemoral ligament (MPFL) reconstruction, medial quadriceps tendon femoral ligament (MQTFL) reconstruction, and a combination of these techniques to restore lateral patellar constraint and contact pressures. METHODS Eight fresh frozen cadaver knees were mounted to a custom jig with physiological quadriceps tendon loading. Flexion angles and contact pressure (CP) were dynamically measured using Tekscan® pressure sensors and Polhemus® Liberty 6 degree of freedom (6DOF) positioning sensors in the following conditions: 1) intact 2) MPFL and MQTFL deficient, 3) MPFL reconstructed, 4) Combined MPFL + MQTFL reconstructed, and 5) MQTFL reconstructed. Lateral patellar translation was tested using horizontally directed 30 N force applied at 30° of knee flexion. The knees were flexed in dynamic fashion, and CP values were recorded for 10°, 20°, 30°, 50°, 70°, and 90° degrees of flexion. Group differences were assessed with ANOVA's followed by pairwise comparisons with Bonferroni correction. RESULTS MPFL (P = .002) and combined MPFL/MQTFL (P = .034) reconstruction significantly reduced patellar lateralization from +19.28% (9.78%, 28.78%) in the deficient condition to -17.57% (-27.84%, -7.29%) and -15.56% (-33.61%, 2.30%), respectively. MPFL reconstruction was most restrictive and MQTFL reconstruction the least -7.29% (-22.01%, 7.45%). No significant differences were found between the three reconstruction techniques. Differences in CP between the three reconstruction techniques were not significant (<.02 MPa) at all flexion angles. CONCLUSION The present study found no significant difference for patellar lateralization and patellofemoral CP between MPFL, combined MPFL/MQTFL, and MQTFL reconstruction. All 3 techniques resulted in stronger lateral patellar constraint compared to the native state, while the MQTFL reconstruction emulated the intact state the closest. CLINICAL RELEVANCE Various surgical techniques for medial patellofemoral complex reconstruction can restore patellar stability with similar patellofemoral articular pressures.
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Affiliation(s)
- Falko Dahm
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.
| | - Hassan Syed
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; University of Toronto Orthopedic Sports Medicine, Women's College Hospital Toronto, Toronto, Ontario, Canada; Institute for Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Sebastian Tomescu
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; University of Toronto Orthopedic Sports Medicine, Women's College Hospital Toronto, Toronto, Ontario, Canada
| | - Heng An Lin
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; University of Toronto Orthopedic Sports Medicine, Women's College Hospital Toronto, Toronto, Ontario, Canada; Department of Orthopedic Surgery, Sengkang General Hospital, Singapore
| | - Yaron Haimovich
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Naveen Chandrashekar
- Department of Orthopedic Surgery, Wolfson Medical Center, Holon, Israel; and Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario, Canada
| | - Cari Whyne
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Institute for Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - David Wasserstein
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; University of Toronto Orthopedic Sports Medicine, Women's College Hospital Toronto, Toronto, Ontario, Canada; Institute for Medical Science, University of Toronto, Toronto, Ontario, Canada
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11
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Mahdi H, Hardisty M, Fullerton K, Vachhani K, Nam D, Whyne C. Open-source pipeline for automatic segmentation and microstructural analysis of murine knee subchondral bone. Bone 2023; 167:116616. [PMID: 36402366 DOI: 10.1016/j.bone.2022.116616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 11/18/2022]
Abstract
UNLABELLED μCT images are commonly analysed to assess changes in bone density and microstructure in preclinical murine models. Several platforms provide automated analysis of bone microstructural parameters from volumetric regions of interest (ROI). However, segmentation of the regions of subchondral bone to create the volumetric ROIs remains a manual and time-consuming task. This study aimed to develop an automated end-to-end pipeline, combining segmentation and microstructural analysis, to evaluate subchondral bone in the mouse proximal knee. METHODS A segmented dataset of μCT scans from 62 knees (healthy and arthritic) from 10-week male C57BL/6 mice was used to train a U-Net type architecture to automate segmentation of the subchondral trabecular bone. These segmentations were used in tandem with the original scans as input for microstructural analysis along with thresholded trabecular bone. Manually and U-Net segmented ROIs were fed into two available pipelines for microstructural analysis: the ITKBoneMorphometry library and CTan (SKYSCAN). Outcome parameters were compared between pipelines, including: bone volume (BV), total volume (TV), BV/TV, trabecular number (TbN), trabecular thickness (TbTh), trabecular separation (TbSp), and bone surface density (BSBV). RESULTS There was good agreement for all bone measures comparing the manual and U-Net pipelines utilizing ITK (R = 0.88-0.98) and CTAn (R = 0.91-0.98). ITK and CTAn showed good agreement for BV, TV, BV/TV, TbTh and BSBV (R = 0.9-0.98). However, limited agreement was seen between TbN (R = 0.73) and TbSb (R = 0.59) due to methodological differences in how spacing is evaluated. Microstructural parameters generated from manual and automatic segmentations showed high correlation across all measures. Using the CTAn pipeline yielded strong R2 values (0.83-0.96) and very strong agreement based on ICC (0.90-0.98). The ITK pipeline yielded similarly high R2 values (0.91-0.96, except for TbN (0.77)), and ICC values (0.88-0.98). The automated segmentations yield lower average values for BV, TV and BV/TV (ranging from 14 % to 6.3 %), but differences were not found to be influenced by the mean ROI values. CONCLUSIONS This integrated pipeline seamlessly automated both segmentation and quantification of the proximal tibia subchondral bone microstructure. This automated pipeline allows the analysis of large volumes of data, and its open-source nature may enable the standardization of microstructural analysis of trabecular bone across different research groups.
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Affiliation(s)
- Hamza Mahdi
- Sunnybrook Research Institute, Holland Musculoskeletal Research Program, Canada
| | - Michael Hardisty
- Sunnybrook Research Institute, Holland Musculoskeletal Research Program, Canada
| | - Kelly Fullerton
- Sunnybrook Research Institute, Holland Musculoskeletal Research Program, Canada
| | - Kathak Vachhani
- Sunnybrook Research Institute, Holland Musculoskeletal Research Program, Canada
| | - Diane Nam
- Sunnybrook Research Institute, Holland Musculoskeletal Research Program, Canada
| | - Cari Whyne
- Sunnybrook Research Institute, Holland Musculoskeletal Research Program, Canada.
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12
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Arrowsmith C, Burns D, Mak T, Hardisty M, Whyne C. Physiotherapy Exercise Classification with Single-Camera Pose Detection and Machine Learning. Sensors (Basel) 2022; 23:363. [PMID: 36616961 PMCID: PMC9824820 DOI: 10.3390/s23010363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/15/2022] [Accepted: 12/20/2022] [Indexed: 06/17/2023]
Abstract
Access to healthcare, including physiotherapy, is increasingly occurring through virtual formats. At-home adherence to physical therapy programs is often poor and few tools exist to objectively measure participation. The aim of this study was to develop and evaluate the potential for performing automatic, unsupervised video-based monitoring of at-home low-back and shoulder physiotherapy exercises using a mobile phone camera. Joint locations were extracted from the videos of healthy subjects performing low-back and shoulder physiotherapy exercises using an open source pose detection framework. A convolutional neural network was trained to classify physiotherapy exercises based on the segments of keypoint time series data. The model's performance as a function of input keypoint combinations was studied in addition to its robustness to variation in the camera angle. The CNN model achieved optimal performance using a total of 12 pose estimation landmarks from the upper and lower body (low-back exercise classification: 0.995 ± 0.009; shoulder exercise classification: 0.963 ± 0.020). Training the CNN on a variety of angles was found to be effective in making the model robust to variations in video filming angle. This study demonstrates the feasibility of using a smartphone camera and a supervised machine learning model to effectively classify at-home physiotherapy participation and could provide a low-cost, scalable method for tracking adherence to physical therapy exercise programs in a variety of settings.
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Affiliation(s)
- Colin Arrowsmith
- Orthopaedic Biomechanics Lab, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- Halterix Corporation, Toronto, ON M5E 1L4, Canada
| | - David Burns
- Orthopaedic Biomechanics Lab, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- Halterix Corporation, Toronto, ON M5E 1L4, Canada
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Thomas Mak
- Halterix Corporation, Toronto, ON M5E 1L4, Canada
| | - Michael Hardisty
- Orthopaedic Biomechanics Lab, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Cari Whyne
- Orthopaedic Biomechanics Lab, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON M5T 1P5, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada
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Sidhu K, Kim D, Lebel D, Alshammari A, Photopoulos G, Duarte MP, Provost M, Nielsen C, Oitment C, Cowley R, Dumas E, Dea N, Versteeg A, Eltit F, Rampersaud YR, Dandurand C, Grassner L, Alduwaisan A, Kennedy C, Christie S, Toobaie A, Algarni N, El-Mughayyar D, Pahuta M, Grassner L, Pelletier-Roy R, Bak AB, Singh S, Abbas A, Abbas A, Abbas A, Ajisebutu A, Aldahamsheh O, Martin S, Baron N, Basiratzadeh S, Beresford-Cleary N, Good C, Thomson A, Bhatt F, Bhatt F, Good C, Thomson A, Blake N, Briand MM, Shah V, Chen T, Cherry A, Rocos B, Cherry A, Chua R, Chua R, Cotter T, Coyle MJ, Dandurand C, Dandurand C, Dandurand C, Dauphinee E, Dionne A, El Bojairami I, Duarte MP, Duarte MP, Elahi MT, Ellingwood N, Ells B, Fallah N, Fernandes R, Fernandes R, Fleury C, Flórez-Jiménez S, Li P, Gennari A, Georgiopoulos M, Greene R, Yu C, Werthmann N, Hakimjavadi R, Hakimjavadi R, Heard B, Hutchison C, Kemna C, Kennedy C, Laflamme M, Laskin J, MacLean M, Mac-Thiong JM, Manson N, Manson N, Manson N, Urquhart J, Kuepper E, Pahuta M, Pahuta M, Parker E, Persad A, Phan K, Rachevitz M, Ridha B, Dhaliwal P, Sakoto S, Sarraj M, Sarraj M, Hache P, Singh S, Slosar P, Sun M, Sundararajan K, Sundararajan K, Thornley P, Thornley P, Thornley P, Thornley P, Thorogood N, Toobaie A, Belhouari S, Olotu O, Du JT, Saleh I, Varga A, Varshney V, Versteeg A, Visnjevac O, Wang Z, Wasim A, Wasim A, Wu J, Filezio M, Singh V, Ferri-de-Barros F, Dermott J, Lebel D, Machida M, Bath N, Levin D, Campbell F, Koyle M, Isaac L, Ruskin D, Brennenstuh S, Stinson J, Navarro-Ramirez R, Rabau O, Ouellet JA, Hurry J, Brooks J, Fitzgerald R, Louer C, Murphy J, Shaw KA, Smit K, El-Hawary R, Joncas J, Parent S, Duval M, Chèmaly O, Brassard F, Mac-Thiong JM, Barchi S, Labelle H, Beauséjour M, Ishimo MC, Joncas J, Labelle H, Le May S, Lewis L, Arnold K, Oitment C, Jentzsch T, Lewis S, Rienmuller A, Jentzsch T, Yashuv HS, Martin A, Nielsen C, Berven S, Ludwig T, Coyle M, Asmussen M, Edwards B, Nicholls F, Bigney E, Fleury C, El-Mughayyar D, Cherry A, Vanderwint A, Richardson E, Kerr J, McPhee R, Abraham E, Manson N, Attabib N, Small C, Couture J, Goulet J, Bédard S, Lebel K, LaRue B, Investigators CSORN, Gal R, Verlaan JJ, Charest-Morin R, Fisher CG, Wessels H, Verkooijen L, Ng T, Gokaslan Z, Fisher C, Dea N, Charest-Morin R, Urquhart J, Glennie A, Fisher C, Bailey C, Mcintosh G, Fisher C, Paquet J, Abraham E, Bailey C, Weber M, Johnson M, Nataraj A, Glennie A, Attabib N, Kelly A, Hall H, Rampersaud R, Manson N, Phan P, Thomas K, Dea N, Thomé C, Kögl N, Vo AK, Kramer JLK, Petr O, Visva S, Phan K, Nguyen-Luu T, Stratton A, Kingwell S, Wai E, Phan P, Puskas D, Pahuta M, Marion T, Greene R, Kehler S, Rockwood K, Urquhart J, Thornley P, Rasoulinejad P, Glennie A, Rampersaud R, Manson N, Abraham E, Fisher C, Charest-Morin R, Paquette S, Gélinas-Phaneuf N, Thomas K, Dea N, Dvorak M, Kwon B, Street J, Ailon T, Christie S, Bailey C, McIntosh G, Dea N, Charest-Morin R, Adams T, Bigney E, Cunningham E, Richardson E, Vandewint A, Attabib N, Abraham E, Manson N, Small C, LeRoux A, Kolyvas G, Investigators CSORN, Hebert J, Jiang E, Fisk F, Taliaferro K, Stukas S, Cooper J, Gill J, Fallah N, Skinnider MA, Belanger L, Ritchie L, Tsang A, Dong K, Streijger F, Street J, Paquette S, Ailon T, Dea N, Charest-Morin R, Fisher CG, Dvorak MF, Wellington C, Kwon BK, Dionne A, Richard-Denis A, Briand MM, Bourassa-Moreau É, Mac-Thiong JM, Moghaddamjou A, Fehlings MG, Nadeau M, Fisher C, Toor J, Larouche J, Finkelstein J, Whyne C, Yee A, Toor J, Du JT, Versteeg A, Yee N, Finkelstein J, Abouali J, Nousiainen MT, Kreder H, Whyne C, Larouche J, Toor J, Lewis S, Finkelstein J, Larouche J, Yee A, Whyne C, Dhaliwal P, Hasan M, Berrington N, Johnson M, Burger L, Nicholls F, Evaniew N, Cobetto N, Aubin CE, Larson AN, Cheng Y, Fourney D, Hakimjavadi R, Michalowski W, Viktor H, Baddour N, Wai E, Stratton A, Kingwell S, Phan P, Dandurand C, Mawhinney G, Reynolds J, Orosz L, Thomson A, Bhatt F, Guth M, Allen B, Boyd D, Grigorian J, Schuler T, Jazini E, Haines C, Orosz L, Bhatt F, Allen B, Sabet A, Schuler T, Haines C, Jazini E, Orosz L, Thomson A, Namian S, Bharara N, Jazini E, Good C, Schuler T, Haines C, Orosz L, Tewari A, Roy R, Good C, Schuler T, Haines C, Jazini E, Orosz L, Thomson A, Bhatt F, Grigorian J, Schuler T, Haines C, Merril J, Roy R, Jazini E, Wang M, Orosz L, Haines C, Jazini E, Bhatt F, Sabet A, Roy R, Schuler T, Good C, Greene R, Schmidt M, Christie S, Richard-Denis A, Le MT, Lim V, Mac-Thiong JM, Gallagher M, Cheung A, Brown J, Chaudhry H, Yee C, McIntosh G, Christie S, Fisher C, Jarzem P, Roy JF, Bouchard J, Yee A, Eseonu K, Ahn H, Cherry A, Rampersaud R, Davidson B, Rabinovitch L, Nielsen C, Jiang F, Vaisman A, Lewis S, Canizares M, Rampersaud R, Investigators CSORN, Avila M, Burket A, Aguilar-Salinas P, Mongrain R, Ouellet J, Driscoll M, Schmidt-Braekling T, Dobransky J, Kreviazuk C, Gofton W, Phan P, Beaule P, Grammatopoulos G, Street J, Fisher C, Jacobs B, Johnson M, Paquet J, Wilson J, Hall H, Bailey CS, Christie S, Nataraj A, Manson N, Phan P, Rampersaud R, Thomas K, Mcintosh G, Rasoulinejad P, Charest-Morin R, Hindi M, Farimani PL, Mashayekhi MS, Ailon T, Boyd M, Charest-Morin R, Dea N, Dvorak M, Fisher C, Kwon B, Paquette S, Street J, Urquhart J, Ailon T, Bailey C, Boyd M, Charest-Morin R, Dea N, Dvorak M, Glennie A, Kwon B, Paquette S, Rampersaud R, Street J, Fisher C, Vandewint A, Bigney E, El-Mughayyar D, Richardson E, Edward A, Manson N, Attabib N, Kolyvas G, Small C, Investigators CSORN, Mac-Thiong JM, Barthélémy D, Lim V, Richard-Denis A, Driscoll M, Aubin CE, Cobetto N, Roy-Beaudry M, Bellefleur C, Turgeon I, Labelle H, Barchi S, Parent S, Joncas J, Parent S, Labelle H, Barchi S, Mac-Thiong JM, Lee W, Phan P, Bigney E, Richardson E, El-Mughayyar D, Vandewint A, Abraham E, Manson N, Small C, Alugo T, Leroux A, Kolyvas G, Investigators CSORN, Attabib N, McIntosh G, Oxner W, Dunning PC, Glennie A, Wang D, Humphreys S, Noonan V, Urquhart J, Siddiqi F, Rasoulinejad P, Bailey C, Urquhart J, Thornley P, Rampersaud R, Glennie A, Rasoulinejad P, Fisher C, Bailey C, Investigators CSORN, Bigney E, Dumas E, El-Mughayyar D, Cherry A, Vanderwint A, Richardson E, Kerr J, McPhee R, Abraham E, Manson N, Attabib N, Small C, Couture J, Goulet J, Bédard S, LaRue B, Investigators CSORN, Macthiong JM, Bourassa-Moreau E, Ogden C, Gallagher M, Cheung A, Huong VT, Tarabay B, Al-Shakfa F, Yuh SJ, Shedid D, Boubez G, Wang Z, Gueziri HE, Santaguida C, Collins DL, Hall A, Alant J, Barry S, Weise L, Glennie A, Oxner B, Etchegary H, Christie S, Carreon L, Glassman S, Brown M, Daniels C, Polly D, Gum J, Gum J, Glassman S, Brown M, Daniels C, Carreon L, Hong HA, Fallah N, Humphreys S, Walden K, Noonan VK, Phan P, Basiratzadeh S, Wai EK, Phan P, Salo P, Krawetz R, Hart D, Bains I, Swamy G, Yang Q, Godoy A, Smith S, Lin C, Nataraj A, Puskas D, Pahuta M, Marion T, Dea N, Waheed Z, Thorogood N, Nightingale T, Noonan V, Touchette C, Duda T, Almojuela A, Bergeron D, Aljoghaiman M, Sader N, Kameda-Smith M, Alant J, Christie S, Hresko MT, Alzakri A, Parent S, Sucato DJ, Lenke LG, Marks M, Labelle H, Pereira P, Charles YP, Krutko A, Santos C, Park Y, Arzoglou V, Park SW, Franke J, Fuentes S, He S, Hosszu T, Varanda P, Mlyavykh S, Vanhauwaert D, Senker W, Franke J, Park Y, Charles YP, Santos C, Arzoglou V, Song Y, He S, Bhagat S, Hong JY, Vanhauwaert D, Senker W, Pereira P, Senker W, Charles YP, Pereira P, Santos C, Park Y, Arzoglou V, Park SW, Bordon G, Fuentes S, Song Y, Vialle E, Bhagat S, Krutko A, Franke J, Thornley P, Rampersaud R, Glennie A, Rasoulinejad P, Abraham E, Ailon T, Charest-Morin R, Dea N, Dvorak M, Gélinas-Phaneuf N, Kwon B, Manson N, Paquette S, Street J, Thomas K, Fisher C, Bailey C, Mishreky A, Hurry J, El-Hawary R, Jiang E, Fisk F, Taliaferro K, Dea N, Investigators CSORN, Al Anazi M, El-Hawary R, Kindrachuk M, Noyes E, Wu A, Fourney D, Pratt M, Wai E, Stratton A, Kingwell S, Wang Z, Phan P, Robarts S, Razmjou H, Yee A, Larouche J, Finkelstein J, Persad A, Huschi Z, Cheng Y, Fourney D, Rossong H, Zhang H, Johnson M, Goytan M, Zarrabian M, Berrington N, Zeiler F, Charles A, Roy-Beaudy, Parent S, Duong L, Marion T, Guha D, Pahuta M, Hache P, Oitment C, Guha D, Pahuta M, Sarraj M, Oitment C, Guha D, Pahuta M, Miyanji F, McAnany S, Cheung A, Dewitt D, Street J, Jurisica I, Perruccio AV, Rampersaud YR, Niu Y, Perruccio AV, Jurisica I, Rampersaud YR, Glennie A, Alahmari A, Al-Jahdali F, Fisher C, Rampersaud R, Urquhart J, Bailey C, Urquhart J, Bailey C, Urquhart J, Rampersaud R, Glennie A, Fisher C, Bailey C, Urquhart J, Rampersaud R, Glennie A, Fisher C, Bailey C, Harback K, Akpinar I, Adjetey C, Tindall D, Chernesky J, Noonan V, Fernandes RJR, Bailey C, Siddiqi F, Rasoulinejad P, Toor J, Abbas A, Brooks H, Larouche J, Abbas A, Bhatia A, Selimovic D, Larouche J, Yee A, Lewis S, Finkelstein J, Toor J, Abbas A, Toor J, Versteeg A, Finkelstein J, Toor J, Abbas A, Ahn H, Larouche J, Finkelstein J, Whyne C, Yee A, Slomp F, Thiessen E, Lastivnyak N, Maclean LS, Ritchie V, Hockley A, Osborn J, Paquette S, Sahjpaul R, Gal R, Charest-Morin R, Verlaan JJ, Wessels H, Fisher CG, Verkooijen L, Pastrak M, Truong VT, Liberman M, Al-Shakfa F, Yuh SJ, Soder SA, Wu J, Sunna T, Renaud-Charest É, Boubez G, Shedid D, Balasuberamaniam P, Shrikumar M, Chen T, Anthony T, Phillips A, Nathens A, Chapman M, Crawford E, Stark R, Schwartz C, Finkelstein J, Small C, Rampersaud R. Canadian Spine SocietyAbstract 57. Radiographic reporting in adolescent idiopathic scoliosis: Is there a discrepancy comparing radiologists’ reports and surgeons’ assessments?Abstract 74. How useful is prereferral spine imaging? A quality improvement projectAbstract 82. Early recovery after surgery, predictors of shorter length of stayAbstract 68. Gliding screws on early-onset scoliosis: a 5-year experienceAbstract 66. Reliability of radiographic assessment of growth modulation from anterior vertebral body tethering surgery in pediatric scoliosisAbstract 16. A dangerous curve: impact of the COVID-19 pandemic on brace treatment in adolescent idiopathic scoliosisAbstract 24. Development of a model of interprofessional support interventions to enhance brace adherence in adolescents with idiopathic scoliosisAbstract 94. Recognizing the importance of self-image in adult spinal deformity: results from the Prospective Evaluation of Elderly Deformity Surgery (PEEDS)Abstract 25. Assessing pain as a primary factor in the surgical treatment of adult spinal deformity surgery in patients over 60 years of ageAbstract 72. Application of the Ames-International Spine Study Group (AMES) radiographic modifiers to an asymptomatic population. Are the thresholds for “normal” appropriate?Abstract 109. Exploring the relationship between cannabis and narcotic use on preoperative health considerations in Canadian thoracolumbar patients: a CSORN studyAbstract 36. Metastatic spine disease: Should patients with short life expectancy be denied surgical care? An international retrospective cohort studyAbstract 91. What do patients expect of palliative treatment for symptomatic spinal metastases? A qualitative studyAbstract 44. Denosumab for giant cell tumours of the spine: molecular predictors of clinical response — a pilot studyAbstract 89. Surgical management and outcomes from “stable” degenerative spondylolisthesis (DS) from the CSORN prospective DS study: What the @#$ % are we doing?Abstract 33. Economic consequences of waiting for lumbar disc herniation surgeryAbstract 108. Motor recovery depends on timing of surgery in patients with lumbar disc herniationAbstract 106. Outcomes following revision decompression for lumbar spinal stenosis when compared to primary decompression: a matched cohort analysis using the Canadian Spine Outcomes and Research Network registryAbstract 64. Patient engagement, remote monitoring and virtual care — a pilot project in rural and remote patients undergoing elective lumbar surgeryAbstract 84. Development of a frailty index from the Canadian Spine Outcomes and Research Network (CSORN) to predict long-term success of surgery for patients with degenerative pathologies of the spineAbstract 102. Posterolateral versus posterior interbody fusion for the management of lumbar degenerative spondylolisthesis: analysis from the CSORN prospective LDS propensity score matched studyAbstract 31. Impact on patient-reported outcomes of ending the posterior construct proximally at C2 versus C3 in degenerative cervical myelopathy patientsAbstract 42. Perioperative factors predict 2-year trajectories of pain and disability following anterior cervical discectomy and fusionAbstract 61. Calculating utilities from the modified Japanese Orthopaedic Association score: a prerequisite for quantifying the value of care for cervical myelopathyAbstract 119. Serum neurofilament light (NF-L) and glial fibrillary acidic protein (GFAP) biomarkers and their association with MRI findings in human acute traumatic spinal cord injuryAbstract 95. The Montreal Acute Classification of Spinal Cord Injury (MAC-SCI): a new tool to detect and characterize spinal cord injury in the trauma patientAbstract 118. Mechanism of injury is associated with neurologic outcomes after cervical sensorimotor complete acute traumatic spinal cord injuryAbstract 13. Patient perspective: diagnosis and prognosis of acute spinal cord injuriesAbstract 136. Predictive analytics to improve dedicated spine trauma operating room resource allocationAbstract 138. Machine learning models to predict surgical resident workload at a level 1 trauma centreAbstract 139. Machine learning to predict duration of surgery and length of stay for single-level discectomy proceduresAbstract 9. Outpatient spinal surgery in ManitobaAbstract 131. Unexpected positive culture in presumed aseptic revision spine surgery: a systematic review and meta-analysisAbstract 50. Lumbar anterior vertebral body tethering: biomechanical assessment of the surgical decision factors influencing the immediate and 2 years postoperative correctionAbstract 145. Does prolonged symptom duration influence surgical outcomes for cervical radiculopathy?Abstract 147. A data-driven cluster analysis approach to create homogenous subgroups for traumatic spine injury: toward improving traditional classificationAbstract 41. The use of neo-adjuvant denosumab in treatment of giant cell tumours of the spineAbstract 5. Complications, revision rates and accuracy of robotic-guided S2 alar-iliac screw placementAbstract 6. Opioid use after spine surgery: How much are we over-prescribing?Abstract 7. Intradiscal injection of autologous bone marrow aspirate concentrate improves low back pain at 1 yearAbstract 8. Augmented reality–assisted spine surgery: an early experience demonstrating safety and accuracy with 218 screwsAbstract 22. Comparison of complications, revision rates and fluoroscopy time using the latest technology in robotic-guided surgery with historical fluoroscopic-guided controlsAbstract 23. Robotic-guided thoracolumbar fusion experience: a multi-surgeon, single-centre study of 628 patients and 3874 robotic-guided screws from 2012 to 2020Abstract 86. A province-wide assessment of the appropriateness of lumbar spine MRIAbstract 134. Concomitant traumatic spinal cord injury and brain injury diagnoses are more frequent and impactful than expectedAbstract 45. Spatial and depth mapping of nascent mineralization on Ti6Al4V surfaces demonstrating hierarchical macro-micro-nanoscale surface featuresAbstract 111. Propensity-matched outcomes comparing lumbar interbody fusion and total disk arthroplasty: a Canadian Spine Outcomes and Research Network (CSORN) studyAbstract 30. A Canadian-based pilot study of current surgical practice and implant preferences in lumbar fusion surgeryAbstract 32. Local contamination is a major cause of early deep wound infections following open posterior lumbosacral fusionsAbstract 99. Comparing patient preoperative expectations and postoperative expectation fulfillment between minimally invasive versus open fusion surgeryAbstract 146. Outpatient robotic-assisted lumbar spinal fusion using the Mazor X Stealth EditionAbstract 149. Lessons learned from my first 100 robotic-assisted lumbar fusions using the Mazor X Stealth Edition: surgical synergy with MIS, surgical navigation and roboticsAbstract 151. Freehand biomechanical testing for use in lumbar discectomy trainingAbstract 48. Spinal pathology and outcome post-THA: Does segment of arthrodesis matter?Abstract 27. Patient, surgical and institutional factors associated with length of stay in degenerative lumbar spine surgery: national multicentre cohort analysis from the Canadian Spine Outcomes and Research Network (CSORN)Abstract 28. The impact of the increasing proportion of degenerative spine emergency admissionsAbstract 51. Patient’s expectations of surgery for degenerative spondylolisthesis: analysis by site and type of surgery from the Canadian Spine Outcomes and Research Network (CSORN)Abstract 60. The impact of sex on thoracolumbar surgery outcomes in patients with diabetes — a CSORN studyAbstract 81. The impact of older age on rehabilitation outcomes following functional motor-incomplete traumatic spinal cord injuryAbstract 47. Devise and investigate a novel, intramuscular pressure based, muscle activation strategy in a spine stability modelAbstract 17. 3D radiologic outcomes for patients with moderate idiopathic scoliosis curves treated with internal (anterior vertebral growth modulation) versus external bracing: a 2-year observational studyAbstract 18. Is quality of life affected by concomitant isthmic spondylolisthesis when undergoing surgery for adolescent idiopathic scoliosis and nonsurgical management of the spondylolisthesis?Abstract 128. Toward macrostructural and microstructural investigation of the cervical spinal cord through quantitative analysis of T2-weighted and diffusion-weighted imagingAbstract 26. Minimally invasive versus open thoracolumbar spine surgery for patients who have lumbar spinal stenosis and an ASA score of 3 or above: a CSORN studyAbstract 101. Association between surgeon age and outcomes of spine surgery: a population-based retrospective cohort studyAbstract 77. Utilizing machine learning methodology to create a short form of the Multi-Morbidity Index in spinal cord injuryAbstract 70. Ten-year reoperation rate and clinical outcome in patients treated surgically for lumbar spinal stenosisAbstract 105. Assessing the importance of radiographic and clinical parameters when choosing decompression without fusion for LDS: results from the CSORN prospective DS studyAbstract 104. Preoperative cannabis use in Canadian thoracolumbar spine surgery patients: a CSORN studyAbstract 142. Post-traumatic ascending myelitis, about 2 cases, etiologic analysis and treatmentAbstract 55. NanoLOCK surfaces enhance osteoblast activities at the cellular levelAbstract 76. Which scoring system is the most accurate for predicting survival in patients undergoing surgery for spinal metastases from lung cancer?Abstract 11. Pedicle screw insertion using ultrasound-based navigation without intraoperative radiation: feasibility study on porcine cadaversAbstract 85. What barriers prevent patients being discharged from hospital following elective spine surgery?Abstract 15. Propensity-matched comparison of 90-day complications in robotic-assisted versus non-robotic-assisted lumbar fusionAbstract 56. No-tap (2-step) robotic-assisted cortical bone trajectory (RA-CBT) screw insertion is safe and efficient: comparative analysis of 179 patients and 924 RA-CBT screwsAbstract 124. Developing a Web-based application to promote the adoption of a clinical prediction model for independent walking in people with traumatic spinal cord injury — a protocolAbstract 125. Multivariable prediction models for prognostication after traumatic spinal cord injury — a systematic reviewAbstract 148. Expression of blood serum cytokines in the presentation of acute sciaticaAbstract 150. Do patient-reported outcome scores (PROs) correlate with bundled payment plan performance for elective spine surgeries?Abstract 46. Effects of delayed neurosurgery on anxiety, depression and economic burdenAbstract 69. Care close to home — a retrospective analysis of patients undergoing elective lumbar surgery in a rural satellite hospitalAbstract 110. Surgical adverse events for primary tumours of the spine and their impact on prognosis and outcomes: a PTRON studyAbstract 80. Spinal cord stimulation research in the restoration of function for individuals living with spinal cord injuries: a scoping reviewAbstract 132. Workup and management of asymptomatic extracranial traumatic vertebral artery injury: a Canadian Neurosurgery Resident Research Collaborative studyAbstract 12. A surgical treatment algorithm for restoring pelvic balance and health-related quality of life in high-grade lumbosacral spondylolisthesisAbstract 38. Effectiveness of 6 surgical approaches for minimally invasive lumbar interbody fusion: 1-year follow-up results from a global multicentre studyAbstract 39. Clinical outcomes and fusion success in patients with degenerative lumbar disease without spondylolisthesis: comparing anterolateral to posterior MIS approaches from a global multicentre studyAbstract 40. Anterolateral versus posterior approaches to minimally invasive interbody fusion for patients with spondylolisthesis: results at 1-year follow-up from a global multicentre studyAbstract 73. Benefit of minimally invasive lumbar interbody fusion versus traditional interbody fusion versus posterolateral spinal fusion in lumbar degenerative spondylolisthesis: a propensity-matched analysis from the CSORN prospective LDS studyAbstract 67. The effect of fusionless pediatric scoliosis surgery on 3D radiographic spinopelvic alignmentAbstract 62. Calculating utilities from the Neck Disability Index: a prerequisite for quantifying the value of cervical spine careAbstract 63. The psychometric properties of the mJOA for quality-of-life assessments in cervical myelopathyAbstract 59. Low radius of curvature growth friendly implants increases the risk of developing clinically significant proximal junctional kyphosisAbstract 144. Very long–term outcome of single-level minimally invasive lumbar microdiscectomy with a tubular retractorAbstract 112. Metal implant hypersensitivity in patients undergoing spinal surgery: a literature review and case reportAbstract 43. Diagnostic value of the lumbar spinal stenosis (SSHQ) survey in virtual care provided at a tertiary spine programAbstract 54. Is the Calgary Postoperative Pain After Spine Surgery (CAPPS) score correlated with long-term outcomes after lumbar fusion?Abstract 4. Development of a single-entry referral pathway for patients with spinal conditions in Manitoba: a cross-sectional review of impact and potential way forward for Canadian spine programsAbstract 113. Automatization of bone age calculationAbstract 123. An effectiveness and quality-of-life analysis of conservative care versus surgery for moderate and severe cervical myelopathyAbstract 133. Long-term survivorship of cervical spine procedures: a survivorship meta-analysis and meta-regressionAbstract 137. Natural history of degenerative cervical myelopathy: a meta-analysis and neurologic deterioration survival curve synthesisAbstract 14. Does intraoperative vancomycin powder affect postoperative infections in adolescent idiopathic scoliosis?Abstract 37. The clinical impact of nano-surface technology on postoperative opioid consumption in patients undergoing anterior lumbar interbody fusionAbstract 130. Design and implementation of a comprehensive perioperative complex spine communication toolAbstract 87. Stratifying low back pain patients in an inter-professional education and self-management model of care: results of a latent class analysisAbstract 88. Cohort accuracy versus confidence at the patient level: clinical challenges for AI-based prediction of low back pain outcomesAbstract 96. Preoperative disc angle is an important predictor of segmental lordosis after degenerative spondylolisthesis fusionAbstract 97. Preoperative depression, functional and radiographic outcomes after surgery for degenerative lumbar spondylolisthesisAbstract 116. A CSORN study of functional outcomes after surgery for lumbar degenerative spondylolisthesisAbstract 121. A CSORN study of the effect on radiographic alignment outcomes with different surgery type for degenerative lumbar spondylolisthesisAbstract 79. Spinal cord stimulation to restore neurological function: a costing analysisAbstract 107. Biomechanical properties of a novel morselized bone graft cageAbstract 93. Optimizing spine surgery instrument trays to immediately increase efficiency and reduce costs in the operating roomAbstract 103. Machine learning models can predict subsequent publication of North American Spine Society Annual General Meeting abstractsAbstract 117. The use of primary sacroiliac joint fusion for lower back pain due to sacroiliac joint pathology: a systematic review and meta-analysisAbstract 141. How to make the most of your operative time by optimizing surgical schedulingAbstract 126. Altering physician referral practices remains a challenge: a spine assessment clinic quality improvement studyAbstract 152. Outcomes of workers’ compensation patients undergoing neuromodulation for persistent neuropathic pain conditionsAbstract 90. Expectations of treatment outcomes in patients with spinal metastases: What do we tell our patients? A qualitative studyAbstract 52. Fluoroscopically guided radiofrequency ablation of the superior cluneal nerve: preliminary outcomes data for a minimally invasive approach for treating superior cluneal neuralgiaAbstract 21. Single-stage posterior approach for en bloc resection and spinal reconstruction of T4 Pancoast tumour invading spineAbstract 34. Predictors of sacral ulcers in patients with complete spinal cord injuryAbstract 135. Targeting geographic wait time disparities in Canada: a rapid review of domestic and international strategies to reduce orthopedic wait times in the MaritimesAbstract 143. The influence of coronal plane parameters on patient-reported outcome measures in patients undergoing decompression for lumbar spinal stenosis. Can J Surg 2022. [DOI: 10.1503/cjs.011622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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Wight C, Phillips DM, Whyne C. Wear reduction of orthopaedic implants through Cryogenic Thermal Cycling. J Mech Behav Biomed Mater 2022; 135:105420. [DOI: 10.1016/j.jmbbm.2022.105420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/22/2022] [Accepted: 08/17/2022] [Indexed: 10/31/2022]
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Kasa K, Burns D, Goldenberg MG, Selim O, Whyne C, Hardisty M. Multi-Modal Deep Learning for Assessing Surgeon Technical Skill. Sensors (Basel) 2022; 22:7328. [PMID: 36236424 PMCID: PMC9571767 DOI: 10.3390/s22197328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/23/2022] [Accepted: 09/23/2022] [Indexed: 06/16/2023]
Abstract
This paper introduces a new dataset of a surgical knot-tying task, and a multi-modal deep learning model that achieves comparable performance to expert human raters on this skill assessment task. Seventy-two surgical trainees and faculty were recruited for the knot-tying task, and were recorded using video, kinematic, and image data. Three expert human raters conducted the skills assessment using the Objective Structured Assessment of Technical Skill (OSATS) Global Rating Scale (GRS). We also designed and developed three deep learning models: a ResNet-based image model, a ResNet-LSTM kinematic model, and a multi-modal model leveraging the image and time-series kinematic data. All three models demonstrate performance comparable to the expert human raters on most GRS domains. The multi-modal model demonstrates the best overall performance, as measured using the mean squared error (MSE) and intraclass correlation coefficient (ICC). This work is significant since it demonstrates that multi-modal deep learning has the potential to replicate human raters on a challenging human-performed knot-tying task. The study demonstrates an algorithm with state-of-the-art performance in surgical skill assessment. As objective assessment of technical skill continues to be a growing, but resource-heavy, element of surgical education, this study is an important step towards automated surgical skill assessment, ultimately leading to reduced burden on training faculty and institutes.
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Affiliation(s)
- Kevin Kasa
- Orthopaedic Biomechanics Lab, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
| | - David Burns
- Orthopaedic Biomechanics Lab, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 1A1, Canada
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Mitchell G. Goldenberg
- Division of Urology, Department of Surgery, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Omar Selim
- Department of Surgery, Royal Victoria Regional Health Center, Barrie, ON L4M 6M2, Canada
| | - Cari Whyne
- Orthopaedic Biomechanics Lab, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 1A1, Canada
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Michael Hardisty
- Orthopaedic Biomechanics Lab, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON M5S 1A1, Canada
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Boyer P, Donia J, Whyne C, Burns D, Shaw J. Regulatory regimes and procedural values for health-related motion data in the United States and Canada. Health Policy and Technology 2022. [DOI: 10.1016/j.hlpt.2022.100648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Burns D, Boyer P, Arrowsmith C, Whyne C. Personalized Activity Recognition with Deep Triplet Embeddings. Sensors (Basel) 2022; 22:5222. [PMID: 35890902 PMCID: PMC9324610 DOI: 10.3390/s22145222] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/06/2022] [Accepted: 07/07/2022] [Indexed: 06/15/2023]
Abstract
A significant challenge for a supervised learning approach to inertial human activity recognition is the heterogeneity of data generated by individual users, resulting in very poor performance for some subjects. We present an approach to personalized activity recognition based on deep feature representation derived from a convolutional neural network (CNN). We experiment with both categorical cross-entropy loss and triplet loss for training, and describe a novel loss function based on subject triplets. We evaluate these methods on three publicly available inertial human activity recognition datasets (MHEALTH, WISDM, and SPAR) comparing classification accuracy, out-of-distribution activity detection, and generalization to new activity classes. The proposed triplet algorithm achieved an average 96.7% classification accuracy across tested datasets versus the 87.5% achieved by the baseline CNN algorithm. We demonstrate that personalized algorithms, and, in particular, the proposed novel triplet loss algorithms, are more robust to inter-subject variability and thus exhibit better performance on classification and out-of-distribution detection tasks.
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Affiliation(s)
- David Burns
- Orthopaedic Biomechanics Laboratory, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (P.B.); (C.A.); (C.W.)
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON M5S 2E8, Canada
- Halterix Corporation, Toronto, ON M5E 1L4, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 2E8, Canada
| | - Philip Boyer
- Orthopaedic Biomechanics Laboratory, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (P.B.); (C.A.); (C.W.)
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 2E8, Canada
| | - Colin Arrowsmith
- Orthopaedic Biomechanics Laboratory, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (P.B.); (C.A.); (C.W.)
- Halterix Corporation, Toronto, ON M5E 1L4, Canada
| | - Cari Whyne
- Orthopaedic Biomechanics Laboratory, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (P.B.); (C.A.); (C.W.)
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON M5S 2E8, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 2E8, Canada
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Alfakir A, Arrowsmith C, Burns D, Razmjou H, Hardisty M, Whyne C. Detecting Low Back Physiotherapy Exercises and Postures with Inertial Sensors and Machine Learning (Preprint). JMIR Rehabil Assist Technol 2022; 9:e38689. [PMID: 35998014 PMCID: PMC9449825 DOI: 10.2196/38689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/17/2022] [Accepted: 06/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background Objective Methods Results Conclusions
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Affiliation(s)
- Abdalrahman Alfakir
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Colin Arrowsmith
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Halterix Corporation, Toronto, ON, Canada
| | - David Burns
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Halterix Corporation, Toronto, ON, Canada
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Helen Razmjou
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Michael Hardisty
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Cari Whyne
- Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
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Vachhani K, Prodeus A, Nakamura S, Rockel JS, Hopfgartner A, Kapoor M, Gariépy J, Whyne C, Nam D. Can CD200R1 Agonists Slow the Progression of Osteoarthritis Secondary to Injury? Front Immunol 2022; 13:836837. [PMID: 35359946 PMCID: PMC8964055 DOI: 10.3389/fimmu.2022.836837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 02/21/2022] [Indexed: 11/13/2022] Open
Abstract
Post-traumatic knee osteoarthritis is characterized by cartilage degeneration, subchondral bone remodeling, osteophyte formation, and synovial changes. Therapeutic targeting of inflammatory activity in the knee immediately post injury may alter the course of osteoarthritis development. This study aimed to determine whether CD200R1 agonists, namely the protein therapeutic CD200Fc or the synthetic DNA aptamer CCS13, both known to act as anti-inflammatory agents, are able to delay the pathogenesis of injury-associated knee osteoarthritis in a murine model. Ten week old male C57BL/6 mice were randomized and surgical destabilization of the medial meniscus (DMM) to induce knee arthritis or sham surgery as a control were performed. CCS13 was evaluated as a therapeutic treatment along with CD200Fc and a phosphate-buffered saline vehicle control. Oligonucleotides were injected intra-articularly beginning one week after surgery, with a total of six injections administered prior to sacrifice at 12 weeks post-surgery. Histopathological assessment was used as the primary outcome measure to assess cartilage and synovial changes, while µCT imaging was used to compare the changes to the subchondral bone between untreated and treated arthritic groups. We did not find any attenuation of cartilage degeneration or synovitis in DMM mice with CD200Fc or CCS13 at 12 weeks post-surgery, nor stereological differences in the properties of subchondral bone. The use of CD200R1 agonists to blunt the inflammatory response in the knee are insufficient to prevent disease progression in the mouse DMM model of OA without anatomical restoration of the normal joint biomechanics.
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Affiliation(s)
- Kathak Vachhani
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
- Sunnybrook Research Institute, Toronto, ON, Canada
| | - Aaron Prodeus
- Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Sayaka Nakamura
- Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada
- Krembil Research Institute, University Health Network, Toronto, ON, Canada
| | - Jason S. Rockel
- Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada
- Krembil Research Institute, University Health Network, Toronto, ON, Canada
| | | | - Mohit Kapoor
- Division of Orthopaedics, Osteoarthritis Research Program, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada
- Krembil Research Institute, University Health Network, Toronto, ON, Canada
- Division of Orthopedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Jean Gariépy
- Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Cari Whyne
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
- Sunnybrook Research Institute, Toronto, ON, Canada
- Division of Orthopedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Diane Nam
- Sunnybrook Research Institute, Toronto, ON, Canada
- Division of Orthopedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
- *Correspondence: Diane Nam,
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Samiezadeh A, McLachlin S, Ng M, Samiezadeh S, Larouche J, Whyne C. Modeling attachment and compressive loading of locking and non-locking plate fixation: a finite element investigation of a supracondylar femur fracture model. Comput Methods Biomech Biomed Engin 2022; 25:1629-1636. [PMID: 35098810 DOI: 10.1080/10255842.2022.2030730] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
This study developed a finite element (FE) model of simulated locking plate fixation to examine the strain response following supracondylar femoral plate attachment and under compressive loading. An implicit FE model of a synthetic femur with a distal fracture gap stabilized with a lateral plate was evaluated following attachment and 500 N loading, considering locking and non-locking proximal screws configurations. Screw pre-tension values of 60 N for both distal and proximal non-locking screws yielded good agreement with plate experimental strain data in attached (unloaded) and loaded conditions. The results highlight the importance of pre-tensioning in modeling plate attachment using non-locking screws.
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Affiliation(s)
- Amir Samiezadeh
- Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, ON, Canada.,Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Stewart McLachlin
- Mechanical & Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada
| | - Matthew Ng
- Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, ON, Canada
| | | | - Jeremie Larouche
- Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, ON, Canada.,Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada
| | - Cari Whyne
- Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, ON, Canada.,Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.,Department of Mathematics, Humber College, Toronto, ON, Canada
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Abbas A, Mosseri J, Lex JR, Toor J, Ravi B, Khalil EB, Whyne C. Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplasty. Int J Med Inform 2022; 158:104670. [PMID: 34971918 DOI: 10.1016/j.ijmedinf.2021.104670] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/29/2021] [Accepted: 12/16/2021] [Indexed: 01/25/2023]
Abstract
BACKGROUND Total knee arthroplasty (TKA) is one of the most resource-intensive, high-volume surgical procedures. Two drivers of the cost of TKAs are duration of surgery (DOS) and postoperative inpatient length of stay (LOS). The ability to predict TKA DOS and LOS has substantial implications for hospital finances, scheduling, and resource allocation. The goal of this study was to predict DOS and LOS for elective unilateral TKAs using machine learning models (MLMs) based on preoperative factors. METHODS The American College of Surgeons (ACS) National Surgical and Quality Improvement (NSQIP) database was queried for unilateral TKAs from 2014 to 2019. The dataset was split into training, validation, and testing based on year. Models (linear, tree-based, and multilayer perceptron (MLP)) were fitted to the training set in scikit-learn and PyTorch, with hyperparameters tuned on the validation set. The models were trained to minimize the mean squared error (MSE). Models with the best performance on the validation set were evaluated on the testing set according to 1) MSE, 2) buffer accuracy, and 3) classification accuracy, with results compared to a mean regressor. RESULTS A total of 302,300 patients were included in this study. During validation, the PyTorch MLPs had the best MSEs for DOS (0.918) and LOS (0.715). During testing, the PyTorch MLPs similarly performed best based on MSEs for DOS (0.896) and LOS (0.690). While the scikit-learn MLP yielded the best 30-minute buffer accuracy for DOS (78.8%), the PyTorch MLP provided the best 1-day buffer accuracy for LOS (75.2%). Nearly all the ML models were more accurate than the mean regressors for both DOS and LOS. CONCLUSION Conventional and deep learning models performed better than mean regressors for predicting DOS and LOS of unilateral elective TKA patients based on preoperative factors. Future work should include operational factors to improve overall predictions.
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Affiliation(s)
- Aazad Abbas
- Temerty Faculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, ON M5S 1A8, Canada; Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada.
| | - Jacob Mosseri
- Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada; Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, ON M5S 3G8, Canada.
| | - Johnathan R Lex
- Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada; Division of Orthopaedic Surgery, University of Toronto, 149 College Street Room 508-A, Toronto, ON M5T 1P5, Canada
| | - Jay Toor
- Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada; Division of Orthopaedic Surgery, University of Toronto, 149 College Street Room 508-A, Toronto, ON M5T 1P5, Canada.
| | - Bheeshma Ravi
- Division of Orthopaedic Surgery, University of Toronto, 149 College Street Room 508-A, Toronto, ON M5T 1P5, Canada; Division of Orthopaedic Surgery, Sunnybrook Health Science Centre, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada.
| | - Elias B Khalil
- Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, ON M5S 3G8, Canada.
| | - Cari Whyne
- Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada; Division of Orthopaedic Surgery, University of Toronto, 149 College Street Room 508-A, Toronto, ON M5T 1P5, Canada; Division of Orthopaedic Surgery, Sunnybrook Health Science Centre, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada.
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Power JD, Glennie A, Rogers S, Aziz M, Singh S, Dandurand C, Tauh S, Richard-Denis A, Morris S, Richard-Denis A, Lim V, Mputu PM, Soroceanu A, Sadiq I, Daly C, Dandurand C, Larouche J, Correale M, Sharma A, Charest-Morin R, Lee J, Ajoku U, Moskven E, Asif H, Al-attar ENM, Mishreky A, Rocos B, Rocos B, Rocos B, Srivastava SK, Patgaonkar P, Cummins D, Bednar D, Chan V, Bowker R, Evaniew N, Hathi K, Hall H, Ludwig T, Ludwig T, Truong VT, Passalent L, Wang S, Shaikh N, Pelletier-Roy R, Shen J, Wang Z, Singh S, Machida M, Machida M, Fernandes R, Fernandes R, Marathe N, Kerr J, Magnan MC, Visva S, Jarvis J, Jarvis J, Jentzsch T, Cherry A, Cherry A, Cherry A, Dandurand C, Rampersaud R, Sundararajan K, Levasseur A, Fernandes R, Fernandes R, Fullerton K, Malone H, Daly C, Peloza J, Peloza J, Walden K, Elsemin O, MacLean MA, Rose J, Oppermann M, Ferguson D, Hindi M, Dermott JA, DeVries Z, Lebel D, Ayling O, Singh V, Craig M, Lasswell T, Perruccio AV, Canizares M, McIntosh G, Rampersaud YR, Urquhart J, Koto P, Rasoulinejad P, Sequeira K, Miller T, Watson J, Rosedale R, Gurr K, Siddiqi F, Bailey C, Manson N, Bigney E, Vandewint A, Richardson E, El-Mughayyar D, McPhee R, Abraham E, Weber M, McIntosh G, Kelly A, Santaguida C, Ouellet J, Reindl R, Jarzem P, Lasry O, Dea N, Fisher C, Street J, Boyd M, Charest-Morin R, Rhines L, Boriani S, Charest-Morin R, Gokaslan Z, Gasbarrini A, Saghal A, Laufer II, Lazary A, Bettegowda C, Kawahara N, Clarke M, Rampersaud YR, Reynolds J, Disch A, Chou D, Shin JH, Wei F, Hornicek FJ, Barzilai O, Fisher C, Dea N, Nickel D, Thorpe L, Brown J, Weiler R, Linassi G, Fourney D, Dionne A, Bégin J, Mac-Thiong JM, Yung A, George S, Prevost V, Bauman A, Kozlowski P, Samadi F, Fournier C, Parker L, Dong K, Streijger F, Moore GW, Laule C, Kwon B, Gravel LF, Dionne A, Bourassa-Moreau E, Maurais G, Khoueir P, Mac-Thiong JM, Richard-Denis A, Dionne A, Bourassa-Moreau É, Bégin J, Mac-Thiong JM, Beausejour M, Richard-Denis A, Begin J, Dionne A, Mac-Thiong JM, Scheer J, Protopsaltis T, Gupta M, Passias P, Gum J, Smith J, Bess S, Lafage V, Ames C, Klineberg E, Frederick A, Nicholls F, Lewkonia P, Thomas K, Jacobs B, Swamy G, Miller N, Tanguay R, Soroceanu A, Nevin J, Bourassa-Moreau E, Dvorak M, Fisher C, Paquette S, Kwon B, Dea N, Ailon T, Charest-Morin R, Street J, Hindi M, Kwon B, Dvorak M, Ailon T, Paquette S, Fisher C, Charest-Morin R, Dea N, Street J, Finkelstein J, Bowes J, Ford M, Yee A, Soever L, Rachevitz M, Bigness A, Robertson S, Wilson R, Wong W, Nugent J, Frantzeskos S, Duffy M, Rampersaud R, Marathe N, Agarwal R, Bailey CS, Paquet J, Dea N, Goytan M, McIntosh G, Street J, Fisher C, Jacobs B, Johnson M, Paquet J, Hall H, Bailey C, Christie S, Nataraj A, Manson N, Phan P, Rampersaud R, Thomas K, McIntosh G, Abraham E, Glennie A, Jarzem P, Ahn H, Blanchard J, Hogan G, Kelly A, Charest-Morin R, Tohidi M, Hopman W, Yen D, Parent S, Miyanji F, Murphy J, El-Hawary R, Lebel D, Zeller R, Reda L, Dodds M, Lebel D, Zeller R, Zeller R, Marathe N, Bhosale S, Raj A, Marathe N, Goyal V, Theologis A, Witiw C, Fehlings M, Morash K, Yaszay B, Andras L, Sturm P, Sponseller P, El-Hawary R, Swamy G, Jacobs WB, Bouchard J, Cho R, Manson NA, Rampersaud YR, Paquet J, Bailey CS, Johnson M, Attabib N, Fisher CG, McIntosh G, Thomas KC, Bigney E, Richardson E, Alugo T, El-Mughayyar D, Vandewint A, Manson N, Abraham E, Attabib N, Prostko R, Cheng B, Haring K, Fischer M, Bourget-Murray J, Sridharan S, Frederick A, Johnston K, Edwards B, Nicholls F, Soroceanu A, Bouchard J, Shedid D, Al-Shakfa F, Shen J, Boubez G, Yuh SJ, Wang Z, Sundararajan K, Perruccio A, Coyte P, Bombardier C, Bloom J, Hawke C, Haroon N, Inman R, Rampersaud YR, Hebert J, Abraham E, Vandewint A, Bigney E, Richardson E, El-Mughayyar D, Attabib N, Small C, Manson N, Zhang H, Beresford-Cleary N, Street J, Wilson D, Oxland T, Richard-Denis A, Jean S, Bourassa-Moreau É, Fleury J, Beauchamp-Vien G, Bégin J, Mac-Thiong JM, Boudier-Revéret M, Majdalani C, Truong VT, Wang Z, Shedid D, Najjar A, Yuh SJ, Boubez G, Sebaaly A, McIntosh G, Ailon T, Dea N, Fisher C, Charest-Morin R, Lebel D, Rocos B, Zabjek K, Zeller R, Zabjek K, Rocos B, Lebel D, Zeller R, Gee A, Schneider N, Kanawati A, Schemitsch E, Bailey C, Rasoulinejad P, Zdero R, Schneider N, Gee A, Kanawati A, Zdero R, Bailey C, Rasoulinejad P, Lohkamp LN, Fehlings M, Abraham E, Vandewint A, Bigney E, Hebert J, Richardson E, El-Mughayyar D, Chorney J, El-Hawary R, Manson N, Wai E, Phan P, Kingwell S, Tierney S, Stratton A, AlDuwaisan A, Moravek D, Wai E, Kingwell S, Stratton A, Phan P, Devries Z, Barrowman N, Smit K, Tice A, Devries Z, Barrowman N, Smit K, Tice A, Sundararajan K, Rampersaud YR, Oitment C, Wunder J, Ferguson P, Rampersaud R, Rampersaud R, Rampersaud R, Ailon T, Dvorak M, Kwon B, Paquette S, Charest-Morin R, Dea N, Fisher C, Street J, Bailey C, Casha S, Glennie A, Fox R, McIntosh G, Yee A, Fisher C, Perruccio A, Perruccio A, Rampersaud YR, Mac-Thiong JM, Richard-Denis A, Gee A, Kanawati A, Rasoulinejad P, Zdero R, Bailey C, Gee A, Kanawati A, Rasoulinejad P, Zdero R, Bailey C, Klein G, Emmenegger U, Finkelstein J, Lyons F, Whyne C, Hardisty M, Millgram M, Guyer R, Harel R, Ashkenazi E, Dvorak M, Fisher C, Paquette S, Street J, Dea N, Ailon T, Charest-Morin R, Kwon B, Millgram M, Guyer R, Le Huec JC, Ashkenazi E, Millgram M, Guyer R, Harel R, Kutz S, Ashkenazi E, Parsons J, Bailey CS, Dhaliwal P, Fourney DR, Noonan V, Mac-Thiong JM, Beausejour M, Sassine S, Joncas J, Barchi S, Le May S, Cobetto N, Fortin C, Carl-Éric A, Parent S, Labelle H, Bailey C, Fisher C, Rampersaud R, Glennie A, Manson N, Bigney E, Vandewint A, Hebert J, El-Mughayyar D, Richardson E, Ghallab N, Flood M, Attabib N, Abraham E, Swamy G, Nicholls F, Thomas K, Jacobs WB, Soroceanu A, Evaniew N, Stevens M, Dunning C, Oxner W, Glennie A, Dandurand C, Paquette S, Kwon B, Ailon T, Dvorak M, Dea N, Charest-Morin R, Fisher C, Street J, Kim D, Lebel DE, Jarvis J, Tice A, Smit K, Campbell F, Mashida M, Isaac L, Bath N, Stocki D, Levin D, Koyle M, Ruskin D, Stinson J, Ailon T, Dea N, Fisher C, Evaniew N, Soroceanu A, Nicholls F, Jacobs WB, Thomas K, Cho R, Lewkonia P, Swamy G, Lasry O, Ailon T, Zamani N, Rampersaud R, Rasoulinejad P. 2021 Canadian Spine Society Abstracts. Can J Surg 2021; 64:S1-S36. [PMID: 34296831 PMCID: PMC8410468 DOI: 10.1503/cjs.012621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Burns D, Boyer P, Razmjou H, Richards R, Whyne C. Adherence Patterns and Dose Response of Physiotherapy for Rotator Cuff Pathology: Longitudinal Cohort Study. JMIR Rehabil Assist Technol 2021; 8:e21374. [PMID: 33704076 PMCID: PMC8082948 DOI: 10.2196/21374] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 11/19/2020] [Accepted: 12/12/2020] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND Physiotherapy is considered to be essential for the successful operative and nonoperative management of rotator cuff pathology; however, the extent to which patients adhere to assigned physiotherapy activities and how this impacts recovery is unknown. OBJECTIVE The purpose of this study was to measure the rate and patterns of participation in physiotherapy for rotator cuff disorders, assess the dose response between physiotherapy activity and recovery, and explore patient factors predictive of physiotherapy participation. METHODS We report a prospective longitudinal study of 42 patients undergoing physiotherapy for symptomatic rotator cuff pathology. The patients were issued a smartwatch that recorded inertial sensor data while they performed physiotherapy exercises both in the clinic and in the home setting. A machine learning approach was used to assess total physiotherapy participation from smartwatch inertial data. Primary outcomes were the Disabilities of the Arm Shoulder and Hand and numeric pain rating scale assessed every 4 weeks until 12 weeks follow-up. The relationships between participation, outcomes, and clinical patient variables were assessed in univariable analyses. RESULTS Mean physiotherapy exercise participation in clinic and at home were 11 minutes per week and 33 minutes per week, respectively, with patients participating in physiotherapy on 41% of days assigned to treatment. Home physiotherapy participation decreased significantly over time (P=.03). There was a statistically significant and clinically meaningful relationship between cumulative physiotherapy participation and recovery demonstrated by pain scores at 8 weeks (P=.02) and 12 weeks (P=.05) and disability scores at 8 weeks (P=.04) and 12 weeks (P=.04). Low patient expectations and self-efficacy were associated with low rates of physiotherapy participation. CONCLUSIONS There was a low rate of participation in home shoulder physiotherapy exercise, and a statistically and clinically significant dose response of physiotherapy on treatment outcome in patients with rotator cuff pathology. The findings highlight the opportunity to develop novel methods and strategies to improve the participation in and efficacy of physiotherapy exercises for rotator cuff disorders. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.2196/17841.
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Affiliation(s)
- David Burns
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada
| | - Philip Boyer
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Helen Razmjou
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Working Condition Program, Holland Orthopedic and Arthritic Centre, Toronto, ON, Canada
- Department of Physical Therapy, University of Toronto, Toronto, ON, Canada
| | - Robin Richards
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Cari Whyne
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada
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Boyer P, Burns D, Whyne C. Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors. Sensors (Basel) 2021; 21:1669. [PMID: 33804317 PMCID: PMC7957807 DOI: 10.3390/s21051669] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 02/15/2021] [Accepted: 02/18/2021] [Indexed: 12/30/2022]
Abstract
Out-of-distribution (OOD) in the context of Human Activity Recognition (HAR) refers to data from activity classes that are not represented in the training data of a Machine Learning (ML) algorithm. OOD data are a challenge to classify accurately for most ML algorithms, especially deep learning models that are prone to overconfident predictions based on in-distribution (IIN) classes. To simulate the OOD problem in physiotherapy, our team collected a new dataset (SPARS9x) consisting of inertial data captured by smartwatches worn by 20 healthy subjects as they performed supervised physiotherapy exercises (IIN), followed by a minimum 3 h of data captured for each subject as they engaged in unrelated and unstructured activities (OOD). In this paper, we experiment with three traditional algorithms for OOD-detection using engineered statistical features, deep learning-generated features, and several popular deep learning approaches on SPARS9x and two other publicly-available human activity datasets (MHEALTH and SPARS). We demonstrate that, while deep learning algorithms perform better than simple traditional algorithms such as KNN with engineered features for in-distribution classification, traditional algorithms outperform deep learning approaches for OOD detection for these HAR time series datasets.
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Affiliation(s)
- Philip Boyer
- Orthopaedic Biomechanics Lab, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada;
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - David Burns
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON M5S 1A1, Canada;
| | - Cari Whyne
- Orthopaedic Biomechanics Lab, Holland Bone and Joint Program, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada;
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 1A1, Canada
- Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON M5S 1A1, Canada;
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Missiuna P, Shen J, Nahle I, Shen J, Alanazi M, Rutges J, Rocos B, Miyanji F, Lohkamp L, Grootjen L, Hachem L, Aldebeyan S, Machida M, Padhye K, Rushton P, Jentzsch T, Jentzsch T, Lewis S, Passias P, Pierce K, Lewis S, Passias P, Nielsen C, Glennie A, Crawford E, Schneider N, Ayling O, Christie S, Greene R, Singh S, Beauchamp-Chalifour P, Balasuberamaniam P, Singh S, Mercure-Cyr R, Wilson J, Evaniew N, Martin A, Rienmueller A, Martin A, Karim M, Martin A, Cheung A, Badhiwala J, Diotalevi L, Jaja B, Fallah N, Badhiwala J, Wasim A, Manson N, Lasry O, Crawford E, Brown A, MacLean MA, Khan O, Badhiwala J, Odai KG, Bailly N, Khan O, Evaniew N, Yamamoto S, Singh M, Kashigar A, Persad A, Fernandes RJR, Malakoutian M, Ahuja C, Morris S, Stukas S, Chen T, Babadagli E, Xu M, Nater A, Oitment C, Karim M, Aziz M, Pahuta M, Versteeg A, Sundararajan K, Tanguay R, Stratton A, Cushnie D, Correale M, Sadiq I, Badhiwala J, Passias P, Badhiwala J, McGregor S, Passias P, Badhiwala J, Chen T, Singh S, Ayling O, Bond M, Rienmueller A, Chen T, Lasry O, Lyons F, Ahmed U, Inglis T, Waheed Z, Wilson J, Nater A, Pahuta M, Klein G, McKibben N, Kassam F, Clement A, Kanawati A, Shaikh N, Kanawati A, Alshammari A, Kanawati A, Yamamoto S, Hamilton K, Huschi Z, Peng YN, Huschi Z, Filgueira É, Goulet J, Kashigar A, Chen T, Hadgaonkar S, MacLean M, Chen T, Kerr HL, Meagher J, Wilson J, Stevens M, Rocos B, Pai A, Kingwell S, Thibault J, Touchette C, Moskven E, Greene R, DeVries Z, Sarraj M, Bosakhar B, Thornley P, Donnellan J, Kishta W, Darby P, Nahle I, Alzakri A, Roy-Beaudry M, Joncas J, Turgeon I, Parent S, Shen J, Alzakri A, Roy-Beaudry M, Joncas J, Turgeon I, Parent S, Samson N, Lamontagne-Proulx J, Soulet D, Tremblay Y, Praud JP, Parent S, Parent S, Gross D, Renkens J, Schlösser T, Stadhouder A, Kruyt M, Mostert A, Tee J, de Klerk L, De Kleuver M, Castelein R, Zeller R, Lewis S, Tan T, Lebel D, Rushton P, Petcharaporn M, Samdani A, Newton P, Marks M, Drake J, Dirks P, Rutka J, Kulkarni A, Ibrahim G, Taylor M, Dewan M, Zeller R, Donze S, Damen L, Rutges J, Hokken-Koelega A, Mathieu F, Lamberti-Pasculi M, Hanak B, Zeller R, Kulkarni A, Drake J, Ibrahim G, Rushton P, Ghag R, Miyanji F, Zeller R, Lewis S, Lebel D, Peiro-Garcia A, Benavides B, Parsons D, Ferri-de-Barros F, Aldebeyan S, Ghag R, Miyanji F, Kutschke L, Laux C, Kabelitz M, Schüpbach R, Böni T, Farshad M, Nielsen C, Lewis S, Lenke L, Shaffrey C, Cheung K, Berven S, Qiu Y, Matsuyama Y, Pellisé-Urquiza F, Polly D, Sembrano J, Dahl B, Kelly M, de Kleuver M, Spruit M, Alanay A, Alas H, Kim HJ, Lafage R, Soroceanu A, Hockley A, Ames C, Klineberg E, Burton D, Diebo B, Bess S, Line B, Shaffrey C, Smith J, Schwab F, Lafage V, Passias P, Lafage R, Soroceanu A, Hockley A, Line B, Klineberg E, Bess S, Protopsaltis T, Shaffrey C, Schwab F, Scheer J, Smith J, Lafage V, Ames C, Lenke L, Shaffrey C, Cheung K, Berven S, Qiu Y, Matsuyama Y, Pellisé-Urquiza F, Polly D, Sembrano J, Dahl B, Kelly M, de Kleuver M, Spruit M, Alanay A, Bortz C, Pierce K, Alas H, Brown A, Soroceanu A, Hockley A, Vira S, Ahmad W, Naessig S, Diebo B, Raman T, Protopsaltis T, Buckland A, Gerling M, Lafage R, Lafage V, Lewis S, Lenke L, Shaffrey C, Cheung K, Berven S, Qiu Y, Matsuyama Y, Pellisé-Urquiza F, Polly D, Sembrano J, Dahl B, Kelly M, de Kleuver M, Spruit M, Alanay A, Bailey C, Rampersaud R, Fisher C, Chen T, McIntosh G, Rampersaud R, Karim M, Urquhart J, Fisher C, Street J, Dvorak M, Paquette S, Charest-Morin R, Ailon T, Glennie A, Manson N, Rampersaud R, Thomas K, Rasoulinejad P, Bailey C, Ailon T, Fisher C, Greene R, Glennie A, Duquette D, LeBlanc D, Martell B, Schmidt M, Christie S, Wong DBT, Di Paola C, Ailon T, Charest-Morin R, Dea N, Dvorak M, Fisher C, Kwon B, Paquette S, Street J, Street J, Flexman A, Charest-Morin R, Wasim A, Schwartz C, Stark R, Shrikumar M, Finkelstein J, Gara A, Banaszek D, Wong T, Ailon T, Bryce E, Charest-Morin R, Dea N, Dvorak M, Fisher C, Kwon B, Paquette S, Street J, Persad A, Spiess M, Wu A, Woo A, Hnenny L, Fourney D, Joshi H, Khan O, Badhiwala J, Rampersaud R, Lewis S, Massicotte E, Fehlings M, Cadotte D, Bailey C, Christie S, Dea N, Fisher C, Paquet J, Soroceanu A, Thomas KC, Rampersaud YR, Wilson J, Manson N, Johnson M, Hall H, McIntosh G, Jacobs B, Kalsi-Ryan S, Akbar MA, Badhiwala J, Wilson J, Tetreault L, Nouri A, Rienmuller A, Massicotte E, Fehlings M, Kalsi-Ryan S, Riehm L, Martin A, Badhiwala J, Akbar M, Massicotte E, Fehlings M, Kalsi-Ryan S, Akbar MA, Badhiwala J, Wilson J, Tetreault L, Nouri A, Rienmuller A, Massicotte E, Fehlings M, Jacobs B, Johnson M, Bailey C, Christie S, Paquet J, Nataraj A, Cadotte D, Wilson J, Manson N, Hall H, Thomas K, Rampersaud R, McIntosh G, Fisher C, Dea N, Wilson J, Jentzsch T, Jiang F, Badhiwala J, Moghaddamjou A, Akbar MA, Nater A, Rienmuller A, Ganau M, Massicotte E, Fehlings M, Tu L, Manouchehri N, Kim KT, So K, Webster M, Fisk S, Tigchelaar S, Dalkilic S, Sayre E, Streijger F, Macnab A, Kwon B, Shadgan B, Wilson J, Fehlings M, Bailly N, Wagnac E, Mac-Thiong JM, Goulet J, Petit Y, Badhiwala J, Grossman R, Geisler F, Fehlings M, Wilson J, Rivers C, Kwon B, Waheed Z, Buenaventura J, Humphreys S, Noonan V, Evaniew N, Dvorak M, Wilson J, Fehlings M, Shrikumar M, Balasuberamaniam P, Rapkin B, Schwartz C, Stark R, Finkelstein J, Bigney E, Darling M, Richardson E, El-Mughayyar D, Abraham E, Street J, Radomski L, Rampersaud R, Pierce K, Bortz C, Alas H, Naessig S, Ahmad W, Vira S, Diebo B, Sciubba D, Hassanzadeh H, Hockley A, Soroceanu A, Protopsaltis T, Buckland A, Passias P, Greene R, Christie SD, Badhiwala J, Fehlings M, Witiw C, Wilson J, Fehlings M, Nessek H, Wai E, Phan P, Diotalevi L, Beauséjour MH, Wagnac E, Mac-Thiong JM, Petit Y, Badhiwala J, Fehlings M, Mazlouman S, Belley-Côté E, Jacobs B, Kwon B, Malakoutian M, Theret M, Street J, Brown S, Rossi F, Oxland T, Singh P, Chandra S, Laratta J, Carreon L, Bisson E, Ghogawala Z, Yew A, Mkorombindo T, Mummaneni P, Glassman S, Kindrachuk M, Hnenny L, Wu A, Norton J, Fourney D, Gee A, Kerr HL, Kanawati A, Zdero R, Gurr K, Bailey C, Rasoulinejad P, Yamamoto S, Sadaram S, Speidel J, Liu J, Street J, Brown S, Oxland T, Khazaei M, Walji I, Dadabhoy M, Gulati N, Aiyar N, Ostmeier S, Hasan A, Senthilnathan V, Punjani N, Yao Y, Yue S, Ozdemir G, Lou Z, Luong W, Post A, Tootsi A, Chan P, Fehlings M, Yung A, George S, Prevost V, Bauman A, Kozlowski P, Samadi F, Fournier C, Parker L, Dong K, Streijger F, Moore W, Laule C, Kwon B, Gill J, Cooper J, Dong K, Streijger F, Street J, Paquette S, Ailon T, Charest-Morin R, Fisher C, Dvorak M, Dhall S, Mac-Thiong JM, Parent S, Bailey C, Christie S, Wellington C, Kwon B, Crawford E, Zhang Y, Hardisty M, Finkelstein J, Kureshi N, Julien L, Abidi R, Christie S, Parashin S, Gascoyne T, Goytan M, Chuang J, Liu K, Quraishi N, Pasku D, Wilson J, Fehlings M, Bozzo A, Reinmuller A, Martin A, Hananel SY, Thornley P, Gazendam A, Aoude A, Nielsen C, Rampersaud R, Dea N, Versteeg A, Sahgal A, Verlaan JJ, Morin RC, Rhines L, Sciubba D, Schuster J, Weber M, Lazary A, Fehlings M, Clarke M, Arnold P, Boriani S, Laufer I, Gokaslan Z, Fisher C, Rosenzweig D, Weber M, Fisk F, Versteeg A, Fisher C, Sahgal A, Gokaslan Z, Rhines L, Boriani S, Bettegowda C, Dea N, Gal R, Charest-Morin R, Verlaan JJ, Verkooijen L, Fisher C, Perruccio A, Rampersaud R, Eckenswiller D, Yu A, Klassen K, Lewkonia P, Thomas K, Jacobs B, Miller N, Swamy G, Yang M, Soroceanu A, Phan P, Wai E, Kingwell S, Moravek D, Tierney S, Street J, Sundararajan K, Bosma R, Faclier G, Di Renna T, Rampersaud R, Frederick A, Kassam F, Nicholls F, Swamy G, Lewkonia P, Thomas K, Jacobs B, Miller N, Tanguay R, Soroceanu A, Platt A, Traynelis V, Witiw C, Horn S, Weiser-Horwitz S, Bortz C, Segreto F, Pierce K, Lafage R, Hockley A, Vira S, Lafage V, Witiw C, Wilson J, Nassiri F, da Costa L, Nathens A, Fehlings M, Jacobs B, Alas H, Pierce K, Brown A, Bortz C, Hockley A, Soroceanu A, Vira S, Naessig S, Ahmad W, Lafage R, Lafage V, Witiw C, Wilson J, da Costa L, Nathens A, Fehlings M, Crawford E, McIntosh G, Rampersaud R, Fisher C, Manson N, Thomas K, Hall H, Rampersaud R, Dea N, McIntosh G, Charest-Morin R, Investigators CSORN, Ailon T, Fisher C, Evaniew N, Aldebeyan S, Thomas K, Sundararajan K, Oitment C, Lewis S, Perruccio A, Rampersaud R, Christie S, Yee A, Fisher C, Jarzem P, Roy JF, Bouchard J, Evans D, Kwon B, Splawinski J, Warren D, Street J, Morris S, Costello J, Farrell M, Humphreys S, Kurban D, Rivers C, Jeffrey M, Juutilainen S, Casha S, Christie S, Clarke T, Drew B, Ethans K, Fehlings M, Fox R, Linassi G, Marion T, O’Connell C, Paquet J, Reid J, Scott L, Fourney D, Schouten R, Rivers C, Chen M, Nunnerley J, Croot T, Young L, Patel A, Dvorak M, Kwon B, Rivers C, Buenaventura J, Humphreys S, Noonan V, Fallah N, Evaniew N, Dvorak M, Cronin S, Badhiwala J, Ginsberg H, Fehlings M, Kwon B, Jaglal S, Wilson J, Fehlings M, Fisk F, Versteeg A, Fisher C, Sahgal A, Gokaslan Z, Rhines L, Boriani S, Bettegowda C, Dea N, Martel A, Sahgal A, Finkelstein J, Whyne C, Hardisty M, Baksh N, Nguyen T, Brown S, Jaboin J, Lin C, Yach J, Hardisty M, Whyne C, Fernandez R, Gee A, Urquhart J, Bailey C, Rasoulinejad P, Zhang H, Shewchuk J, Street J, Wilson D, Oxland T, Fernandez R, Gee A, Urquhart J, Bailey C, Rasoulinejad P, Algarni N, Aljarboa N, Jarzem P, Fernandez R, Gee A, Urquhart J, Bailey C, Rasoulinejad P, Whyte T, Van Toen C, Melnyk A, Shewchuk J, Street J, Cripton P, Oxland T, Avila M, Hurlbert RJ, Neuburger L, Ahmed SU, Cheng Y, Fourney D, Hsu HC, Kao CH, Neuburger L, Ahmed SU, Cheng Y, Fourney D, Meves R, de Oliveira AI, da Silva HC, Richard-Denis A, Petit Y, Diotalevi L, Mac-Thiong JM, Laratta J, Bisson E, Carreon L, Yew A, Mkorombindo T, Glassman S, Christie S, Bouchard J, Fisher C, Roy JF, Yee A, Jarzem P, Khurjekar K, Kothari A, Zawar A, Sanchetui P, Shyam A, Touchette C, Han JH, Christie S, Pickett G, Yee A, Bouchard J, Christie S, Fisher C, Jarzem P, Roy JF, Hashem L, Urquhart J, Rasoulinejad P, Gurr K, Siddiqi F, Bailey C, Attabib N, Bigney E, Richardson E, El-Mughayyar D, Darling M, Manson N, Abraham E, Badhiwala J, Jiang F, Wilson J, Fehlings M, Dunning C, Oxner W, Stewart S, Glennie A, Hutchinson J, Oxland T, Zhang H, Shewchuk J, Wilson D, Street J, Wilk S, Wai E, Phan P, Stratton A, Mohammed S, Tsai E, Alkerayf F, Michalowski W, Phan P, Wai E, Hoda M, MacLean M, Brunette-Clément T, Abduljabba F, Weber M, Fourney D, Charest-Morin R, Flexman A, Street J, Frey M, Mackey S, De Carvalho D, Barrowman N, Smit K, Tice A, Mervitz D, Jarvis J, Kingwell S. Canadian Spine SocietyPresentation CPSS1: Spinal insufficiency fracture in the geriatric pediatric spinePresentation CPSS2: The clinical significance of tether breakages in anterior vertebral body growth modulation: a 2-year postoperative analysisPresentation CPSS3: Anterior vertebral body growth modulation for idiopathic scoliosis: early, mid-term and late complicationsPresentation CPSS4: Ovine model of congenital chest wall and spine deformity with alterations of respiratory mechanics: follow-up from birth to 3 monthsPresentation CPSS5: Test–retest reliability and minimum detectable change of the English translation of the Italian Spine Youth Quality of Life questionnaire in adolescents with idiopathic scoliosisPresentation B1. Abstract 31: Incidence of delayed spinal cord injury in pediatric spine deformity surgery seems to be higher than previously assumedPresentation B2. Abstract 155: What is the optimal surgical method for achieving successful symptom relief in pediatric high-grade spondylolisthesis?Presentation B3. Abstract 47: Vertebral body tethering: Truly motion preserving or rather limiting?Presentation B4. Abstract 180: Fusion rates in pediatric patients after posterior cervical spine instrumentationPresentation B5. Abstract 102: Effects of 8 years of growth hormone treatment on the onset and progression of scoliosis in children with Prader–Willi syndromePresentation B6. Abstract 144: Klippel–Feil syndrome: clinical phenotypes associated with surgical treatmentPresentation B7. Abstract 123: Anterior release for idiopathic scoliosis: Is it necessary for curve correction?Presentation B8. Abstract 62: Severe scoliosis: Do we know a better way? A retrospective comparative studyPresentation B9. Abstract 21: Intraoperative skull femoral traction in adolescent idiopathic scoliosis: the correlation of traction with side-bending radiographsPresentation B10. Abstract 147: What is the effect of intraoperative halo-femoral traction on correction of adolescent idiopathic scoliosis?Presentation B11. Abstract 174: Extreme long-term outcome of surgically versus non-surgically treated patients with adolescent idiopathic scoliosisPresentation B12. Abstract 172: The influence of multilevel spinal deformity surgery on the clinical outcome in the elderly: a prospective, observational, multicentre studyPresentation B13. Abstract 49: Demographics of a prospective evaluation of elderly deformity surgery: a prospective international observational multicentre studyPresentation B14. Abstract 119: Timing of conversion to cervical malalignment and proximal junctional kyphosis following surgical correction of adult spinal deformityPresentation B15. Abstract 44: Prioritization of realignment associated with superior clinical outcomes for surgical cervical deformity patientsPresentation B16. Abstract 50: Outcome of multilevel spinal deformity surgery in patients over 60 years of age: a multicentre international prospective studyPresentation B17. Abstract 122: A simpler, modified frailty index weighted by complication occurrence correlates to pain and disability for adult spinal deformity patientsPresentation B18. Abstract 75: Change in Oswestry Disability Index at 24 months following multilevel spinal deformity surgery in patients over 60 years of age: a multicentre international prospective studyPresentation C19. Abstract 19: A prospective cohort study evaluating trends in the surgical treatment of degenerative spondylolisthesis in Canada and the utility of a novel surgical decision aidPresentation C20. Abstract 154: Decompression compared with decompression and fusion for degenerative lumbar spondylolisthesis: a Canadian Spine Outcomes and Research Network (CSORN) studyPresentation C21. Abstract ID 77: Lumbar degenerative spondylolisthesis: factors impacting decision to fusePresentation C22. Abstract 27: Patient-reported outcomes following surgery for lumbar disc herniation: comparison of a universal and multitier health care systemPresentation C23. Abstract 151: Do patients with recurrent lumbar disc herniations fair worse with discectomy than primary operations? A retrospective analysis from the Canadian Spine Outcomes and Research NetworkPresentation C24. Abstract 136: A province-wide assessment of the appropriateness of lumbar spine MRIPresentation D25. Abstract 32: Surgical site infection reduction — a 10-year quality improvement journeyPresentation D26. Abstract 34: The impact of frailty on patient-reported outcome measures following elective thoraco-lumbar spine surgeryPresentation D27. Abstract 8: Moving toward better health: exercise practice is associated with improved outcomes after spine surgeryPresentation D28. Abstract 33: Preoperative decolonization does not adversely affect the microbiologic spectrum of spine surgical site infectionPresentation D29. Abstract 61: Feedback: reducing after-hours spine cases using an encrypted messaging systemPresentation D30. Abstract 177: Complex spine surgery is safe and effective in the extremely elderly age group: results from an ambispective study of 722 patients over 75 years old from a single institutionPresentation E31. Abstract 38: Clinical predictors of achieving minimal clinically important difference after surgery for cervical spondylotic myelopathy: an external validation study from the Canadian Spine Outcomes and Research NetworkPresentation E32. Abstract 66: The natural history of degenerative cervical myelopathy: an ambispective longitudinal cohort studyPresentation E33. Abstract 159: Quantitative assessment of gait characteristics in degenerative cervical myelopathy (DCM): a prospective studyPresentation E34. Abstract 130: Prognostic factors in degenerative cervical myelopathy (DCM) for patients managed operatively and nonoperativelyPresentation E35. Abstract 175: Efficacy of surgical decompression in patients with cervical spondylotic myelopathy: results of a Canadian prospective multicentre studyPresentation E36. Abstract 67: Interobserver reliability of the modified Japanese Orthopedic Association (mJOA) score in degenerative cervical myelopathyPresentation F37. Abstract 128: Continuous optical monitoring of spinal cord hemodynamics during the first 7 days after injury in a porcine model of acute spinal cord injuryPresentation F38. Abstract 106: Development of a prediction model for central cord syndrome: an evaluation of motor recovery and the effectiveness of early surgery in a prospective, multicentre cohortPresentation F39. Abstract 135: Spinal cord dynamics under different clinical configurations of thoracolumbar burst fractures through numerical simulationsPresentation F40. Abstract 60: Predicting the heterogeneity of outcome following sensorimotor complete cervical spinal cord injury: trajectory-based analysis of 655 prospectively enrolled patientsPresentation F41. Abstract 167: Mortality in the year following discharge to the community from inpatient care for acute traumatic spinal cord injury: When and why?Presentation F42. Abstract 104: A novel method to classify patients with cervical incomplete spinal cord injury based on potential for recovery: a group-based trajectory analysis using prospective, multicentre data from over 800 patientsPresentation G43. Abstract 7: Responsiveness of standard spine outcome tools: Do they measure up?Presentation G44. Abstract 142: Patient outcomes: important psychological measuresPresentation G45. Abstract 84: Accuracy of surveillance for surgical site infections after spine surgery: a Bayesian latent class analysis using 4 independent data sourcesPresentation G46. Abstract 169: Econometric modelling: development of a surgical cost calculator for degenerative conditions of the lumbar spinePresentation G47. Abstract 124: The economic impact of nonreimbursable events in open, minimally invasive and robot-assisted lumbar fusion surgeryPresentation G48. Abstract 164: Are there sex differences in preoperative health status and health care delivery for patients undergoing scheduled lumbar surgery? An analysis from the Canadian Spine Outcomes and Research NetworkPresentation H49. Abstract 41: Patient phenotypes associated with functional outcomes after spinal cord injury: a principal component analysis in 1119 patientsPresentation H50. Abstract 103: Early versus late surgical decompression for acute traumatic spinal cord injury: a pooled analysis of prospective, multicentre data in 1548 patientsPresentation H51. Abstract 79: Clinical outcome correlation of diffusion tensor imaging and magnetic resonance imaging values: a systematic reviewPresentation H52. Abstract 137: A numerical study on the pathogenesis of central cord syndromePresentation H53. Abstract 42: Feasibility and utility of machine learning in prediction of bladder outcomes after spinal cord injury: analysis of 1250 patients from the European Multicenter Study about Spinal Cord Injury (EMSCI) registryPresentation H54. Abstract 18: Interventions to optimize spinal cord perfusion in patients with acute traumatic spinal cord injuries: a systematic reviewPresentation i55. Abstract 55: The effect of posterior lumbar spinal surgery on passive stiffness of rat paraspinal muscles 13 weeks post-surgeryPresentation i56. Abstract 43: A computed tomographic based morphometric analysis of the axis in adult populationPresentation i57. Abstract 92: Is there value to flexion–extension x-rays for degenerative spondylolisthesis? A multicentre retrospective studyPresentation i58. Abstract 98: The novel “7/20 EMG protocol” in combination with O-arm image-guided navigation for accurate lumbar pedicle placement while minimizing diagnostic radiation exposurePresentation i59. Abstract 148: Comparative biomechanical study of 2 types of transdiscal fixation implants for high-grade L5/S1 spine spondylolisthesis in a porcine modelPresentation i60. Abstract 85: The effects of fibre bundle size and vertebral level on passive stiffness of the lumbar paraspinal muscles in a rat modelPresentation J61. Abstract 157: A self-assembling peptide biomaterial to enhance human neural stem cell-based regeneration of the injured spinal cordPresentation J62. Abstract 162: Measuring demyelination, axonal loss and inflammation after human spinal cord injury with quantitative magnetic resonance imaging and histopathologyPresentation J63. Abstract 179: Characterization of ubiquitin C-terminal hydrolase L1 (UCH-L1) as a fluid biomarker of human traumatic spinal cord injuryPresentation J64. Abstract 13: Utility and role of virtual reality based simulation models in spinal decompression trainingPresentation J65. Abstract 160: Investigating the determinants for predicting surgical patient outcomes through the application of machine learning methodsPresentation J66. Abstract 143: Comparison of screw design and technique on cervical lateral mass screw fixationPresentation K67. Abstract 57: Development of clinical prognostic models for postoperative survival and quality of life in patients with surgically treated metastatic epidural spinal cord compressionPresentation K68. Abstract 170: Sarcomas of the spine: a 20-year survey of disease and treatment strategy in Ontario, CanadaPresentation K69. Abstract 15: Metastatic spine disease: Should patients with short life expectancy be denied surgical care? An international retrospective cohort studyPresentation K70. Abstract 29: Nanoparticle-functionalized polymethyl methacrylate bone cement for sustained chemotherapeutic drug deliveryPresentation K71. Abstract 90: Development of the Spine Oncology Study Group Outcomes Questionnaire – 8 Domain (SOSGOQ-8D)Presentation K72. Abstract 6: Treatment expectations of patients with spinal metastases: What do we tell our patients?Presentation L73. Abstract 48: Factors related to risk of opioid abuse in primary care patients with low back painPresentation L74. Abstract 65: QI/QA of a transitional outpatient pain program for spinePresentation L75. Abstract 168: The effect of preoperative opioid use on hospital length of stay in patients undergoing elective spine surgeryPresentation L76. Abstract 163: Disability or pain: Which best predicts patient satisfaction with surgical outcome? A Canadian Spine Outcomes and Research Network (CSORN) studyPresentation L77. Abstract 58: Rapid access to interventional pain management for lumbar nerve root pain through collaborative interprofessional provider networksPresentation L78. Abstract 63: Chronic preoperative opioid use associated with higher perioperative resource utilization and complications in adult spinal deformity patientsPresentation M79. Abstract 108: Cervical disc arthroplasty versus anterior cervical discectomy and fusion: a longitudinal analysis of reoperationsPresentation M80. Abstract 46: Preliminary results of randomized controlled trial investigating the role of psychological distress on cervical spine surgery outcomes: a baseline analysisPresentation M81. Abstract 110: Operative versus nonoperative treatment of geriatric odontoid fractures: a study of North American trauma centresPresentation M82. Abstract 74: Clinical outcome of posterior cervical foraminotomy versus anterior cervical discectomy and fusionPresentation M83. Abstract 45: “Reverse Roussouly”: ratios of cervical to thoracic shape curvature in an adult cervical deformity populationPresentation M84. Abstract 109: Treatment of acute traumatic central cord syndrome: a study of North American trauma centresPresentation N85. Abstract 118: Comparing minimally invasive versus traditional open lumbar decompression and fusion surgery: a Canadian Spine Outcomes and Research Network (CSORN) studyPresentation N86. Abstract 54: Time to return to work after lumbar spine surgeryPresentation N87. Abstract 28: Patient-reported outcomes following surgery for lumbar spinal stenosis: comparison of a universal and multitier health care systemPresentation N88. Abstract 93: Outcomes of surgery in older adults with lumbar spinal stenosisPresentation N89. Abstract 162: Functional objective assessment using the TUG test is a useful tool to evaluate outcome in lumbar spinal stenosisPresentation N90. Abstract 36: A Canadian Spine Outcomes and Research Network (CSORN) matched-cohort study comparing lumbar fusion and disk arthroplastyPresentation o91. Abstract 171: Development of clinical practice guidelines for the management of traumatic spinal column and cord injuries in British Columbia: an approach to standardizing care of spine trauma patientsPresentation o92. Abstract 22: Notes from a small island: stemming the tide of a spinal deluge. The use of encrypted software applications to ensure accountability, quality control and surgical consensus in a national acute adult spinal surgery centrePresentation o93. Abstract 129: Traumatic spinal cord injuries among Aboriginal and non-Aboriginal populations in Canada: an ambispective outcomes studyPresentation o94. Abstract 132: Traumatic spinal cord injury in New Zealand and Canada: a comparative analysisPresentation o95. Abstract 150: Exploring the reasons for readmission following traumatic spinal cord injuryPresentation o96. Abstract 59: Exploring the epidemiology and impact of spinal cord injury in the elderly: a 15-year Canadian population-based cohort studyPresentation P1. Abstract 139: Incidence and management of spinal metastasis in Ontario: a population-based studyPresentation P2. Abstract 91: A general population utility valuation study for the Spine Oncology Study Group Outcomes Questionnaire – 8DPresentation P3. Abstract 158: Metastatic vertebrae segmentation by augmented 3D convolutional neural networkPresentation P4. Abstract 73: Risk factors for failure of radiation therapy for spinal metastasesPresentation P5. Abstract 68: Significance of extracanalicular cement extravasation in thoracolumbar kyphoplastyPresentation P6. Abstract 120: Modelling fracture in osteoblastic vertebraePresentation P7. Abstract 97: The development of novel 2-in-1 patient-specific, 3D-printed laminar osteotomy guides with integrated pedicle screw guidesPresentation P8. Abstract 56: Effect of pelvic retroversion on pelvic geometry and muscle morphometry from upright magnetic resonance imagingPresentation P9. Abstract 161: Anatomic relationship between the accessory process of the lumbar spine and the pedicle screw entry pointPresentation P10. Abstract 20: Novel chair to measure lumbar spine extensors strength in adultsPresentation P11. Abstract 95: Error measurement between human spine, 3D scans, CT-based models, and 3D-printed modelsPresentation P12. Abstract 52: The diagnostic precision of computed tomography for traumatic cervical spine injury: an in vitro investigationPresentation P13. Abstract 94: Epidural abscess causing spinal cord infarctionPresentation P14. Abstract 83: The nerve root sedimentation sign on magnetic resonance imaging is not only correlated with neurogenic claudication: association with all types of leg-dominant mechanical painPresentation P15. Abstract 3: Accuracy of robot-assisted compared with freehand pedicle screw placement in spine surgery: a meta-analysis of randomized controlled trialsPresentation P16. Abstract 82: A positive nerve root sedimentation sign on magnetic resonance imaging is associated with improved surgical outcomes in patients with back dominant painPresentation P17. Abstract 16: Thoracolumbar burst fracture: McCormack load-sharing classification —systematic review and single-arm meta-analysisPresentation P18. Abstract 86: Morphological features of thoracolumbar burst fractures associated with neurologic recovery after thoracolumbar traumatic spinal cord injuryPresentation P19. Abstract 89: Radiographic parameters of listhesis and instability are not associated with health status or clinical outcomes in grade 1 degenerative spondylolisthesisPresentation P20. Abstract 37: Predictive socioeconomic factors following lumbar disk arthroplasty: a Canadian Spine Outcomes and Research Network (CSORN) studyPresentation P21. Abstract 25: Effect of in situ fusion in lumbar spondylolisthesis on clinical outcomes and spino-pelvic sagittal balancingPresentation P22. Abstract 10: Sex differences in the surgical management of lumbar degenerative disease: a systematic reviewPresentation P23. Abstract 35: Two-year results of lumbar disk arthroplasty: a Canadian Spine Outcomes and Research Network (CSORN) studyPresentation P24. Abstract 78: Does disc morphology affect the success of nonoperative treatment of chronic sciatica from a lumbar disc herniation?Presentation P25. Abstract 141: Opioid prescribing patterns: preliminary investigationPresentation P26. Abstract 133: Frailty is a better predictor of complications than age alone after surgical treatment of degenerative cervical myelopathy: an ambispective study of 5107 elderly patients from the National Surgical Quality Improvement Program databasePresentation P27. Abstract 26: Pathway analysis in spine surgery: a model for evaluating length of stayPresentation P29. Abstract 156: Patients with adolescent idiopathic scoliosis (AIS) have different cervical lordosis than the normal populationPresentation P31. Abstract 64: Investigation of thoracic spinal muscle morphology with upright magnetic resonance imagingPresentation P32. Abstract 80: Postoperative complication prediction between spinal surgeons and a machine learning model: a comparative studyPresentation P33. Abstract 81: Is using a simplified procedural classification as accurate as using current procedural terminology codes to predict future complications in spinal surgery?Presentation P34. Abstract 88: Preoperative patient performance status and frailty phenotype as predictive factors of outcome in surgically treated patients with metastatic spinal disease: a systematic literature reviewPresentation P35. Abstract 101: The measurements of frailty and their application to spine surgeryPresentation P36. Abstract 131: The effect of prolonged sitting on muscle reflexes of the low backPresentation P37. Abstract 87: Implementing a rapid discharge pathway for adolescent idiopathic scoliosis in Canada. Can J Surg 2020. [DOI: 10.1503/cjs.014720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Abstract
Fracture is considered a critical clinical endpoint in skeletal pathologies including osteoporosis and bone metastases. However, current clinical guidelines are limited with respect to identifying cases at high risk of fracture, as they do not account for many mechanical determinants that contribute to bone fracture. Improving fracture risk assessment is an important area of research with clear clinical relevance. Patient-specific numerical musculoskeletal models generated from diagnostic images are widely used in biomechanics research and may provide the foundation for clinical tools used to quantify fracture risk. However, prior to clinical translation, in vitro validation of predictions generated from such numerical models is necessary. Despite adopting radically different models, in vitro validation of image-based finite element (FE) models of the proximal femur (predicting strains and failure loads) have shown very similar, encouraging levels of accuracy. The accuracy of such in vitro models has motivated their application to clinical studies of osteoporotic and metastatic fractures. Such models have demonstrated promising but heterogeneous results, which may be explained by the lack of a uniform strategy with respect to FE modeling of the human femur. This review aims to critically discuss the state of the art of image-based femoral FE modeling strategies, highlighting principal features and differences among current approaches. Quantitative results are also reported with respect to the level of accuracy achieved from in vitro evaluations and clinical applications and are used to motivate the adoption of a standardized approach/workflow for image-based FE modeling of the femur.
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Affiliation(s)
- Cristina Falcinelli
- Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, Canada
| | - Cari Whyne
- Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, Canada
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Burns D, Razmjou H, Shaw J, Richards R, McLachlin S, Hardisty M, Henry P, Whyne C. Adherence Tracking With Smart Watches for Shoulder Physiotherapy in Rotator Cuff Pathology: Protocol for a Longitudinal Cohort Study. JMIR Res Protoc 2020; 9:e17841. [PMID: 32623366 PMCID: PMC7381014 DOI: 10.2196/17841] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/26/2020] [Accepted: 04/26/2020] [Indexed: 12/12/2022] Open
Abstract
Background Physiotherapy is essential for the successful rehabilitation of common shoulder injuries and following shoulder surgery. Patients may receive some training and supervision for shoulder physiotherapy through private pay or private insurance, but they are typically responsible for performing most of their physiotherapy independently at home. It is unknown how often patients perform their home exercises and if these exercises are performed correctly without supervision. There are no established tools for measuring this. It is, therefore, unclear if the full benefit of shoulder physiotherapy treatments is being realized. Objective The proposed research will (1) validate a smartwatch and machine learning (ML) approach for evaluating adherence to shoulder exercise participation and technique in a clinical patient population with rotator cuff pathology; (2) quantify the rate of home physiotherapy adherence, determine the effects of adherence on recovery, and identify barriers to successful adherence; and (3) develop and pilot test an ethically conscious adherence-driven rehabilitation program that individualizes patient care based on their capacity to effectively participate in their home physiotherapy. Methods This research will be conducted in 2 phases. The first phase is a prospective longitudinal cohort study, involving 120 patients undergoing physiotherapy for rotator cuff pathology. Patients will be issued a smartwatch that will record 9-axis inertial sensor data while they perform physiotherapy exercises both in the clinic and in the home setting. The data collected in the clinic under supervision will be used to train and validate our ML algorithms that classify shoulder physiotherapy exercise. The validated algorithms will then be used to assess home physiotherapy adherence from the inertial data collected at home. Validated outcome measures, including the Disabilities of the Arm, Shoulder, and Hand questionnaire; Numeric Pain Rating Scale; range of motion; shoulder strength; and work status, will be collected pretreatment, monthly through treatment, and at a final follow-up of 12 months. We will then relate improvement in patient outcomes to measured physiotherapy adherence and patient baseline variables in univariate and multivariate analyses. The second phase of this research will involve the evaluation of a novel rehabilitation program in a cohort of 20 patients. The program will promote patient physiotherapy engagement via the developed technology and support adherence-driven care decisions. Results As of December 2019, 71 patients were screened for enrollment in the noninterventional validation phase of this study; 65 patients met the inclusion and exclusion criteria. Of these, 46 patients consented and 19 declined to participate in the study. Only 2 patients de-enrolled from the study and data collection is ongoing for the remaining 44. Conclusions This study will provide new and important insights into shoulder physiotherapy adherence, the relationship between adherence and recovery, barriers to better adherence, and methods for addressing them. International Registered Report Identifier (IRRID) DERR1-10.2196/17841
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Affiliation(s)
- David Burns
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.,Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Helen Razmjou
- Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Working Condition Program, Holland Orthopedic and Arthritic Centre, Toronto, ON, Canada.,Department of Physical Therapy, University of Toronto, Toronto, ON, Canada
| | - James Shaw
- Women's College Research Institute, Toronto, ON, Canada.,Joint Centre for Bioethics, University of Toronto, Toronto, ON, Canada
| | - Robin Richards
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.,Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Stewart McLachlin
- Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada
| | - Michael Hardisty
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.,Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Patrick Henry
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.,Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Cari Whyne
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.,Holland Bone and Joint Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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Nam D, Balasuberamaniam P, Milner K, Kunz M, Vachhani K, Kiss A, Whyne C. Lithium for Fracture Treatment (LiFT): a double-blind randomised control trial protocol. BMJ Open 2020; 10:e031545. [PMID: 31915160 PMCID: PMC6955565 DOI: 10.1136/bmjopen-2019-031545] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 12/10/2019] [Accepted: 12/16/2019] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION Fracture healing can fail in up to 10% of cases despite appropriate treatment. While lithium has been the standard treatment for bipolar disorder, it may also have a significant impact to increase bone healing in patients with long bone fractures. To translate this knowledge into clinical practice, a randomised clinical trial (RCT) is proposed. METHODS AND ANALYSIS A multicentre double blind, placebo-controlled RCT is proposed to evaluate the efficacy of lithium to increase the rate and predictability of long bone fracture healing in healthy adults compared to lactose placebo treatment. 160 healthy individuals from 18 to 55 years of age presenting with shaft fractures of the femur, tibia/fibula, humerus or clavicle will be eligible. Fractures will be randomised to placebo (lactose) or treatment (300 mg lithium carbonate) group within 2 weeks of the injury. The primary outcome measure will be radiographic union defined as visible callus bridging on three of the four cortices at the fracture site using a validated radiographic union score. Secondary outcome measures will include functional assessment and pain scoring. ETHICS AND DISSEMINATION Participant confidentiality will be maintained with publication of results. Research Ethics Board Approval: Sunnybrook Research Institute (REB # 356-2016). Health Canada Approval (HC6-24-C201560). Results of the main trial and secondary endpoints will be submitted for publication in a peer-reviewed journal and presented at conferences. TRIAL REGISTRATION NUMBER NCT02999022.
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Affiliation(s)
- Diane Nam
- Division of Orthopaedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Division of Orthopaedic Surgery, University of Toronto, Toronto, Ontario, Canada
| | | | - Katrine Milner
- Division of Orthopaedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Division of Orthopaedic Surgery, Holland Orthopaedic and Arthritic Centre, Toronto, Ontario, Canada
| | - Monica Kunz
- Division of Orthopaedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Division of Orthopaedic Surgery, Holland Orthopaedic and Arthritic Centre, Toronto, Ontario, Canada
| | - Kathak Vachhani
- Orthopaedic Biomechanics Lab, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Alex Kiss
- Research Design and Biostatistics, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Cari Whyne
- Orthopaedic Biomechanics Lab, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Orthopaedic Surgery and Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
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Robert N, Mainprize JG, Whyne C. Determination of 3D PSFs from computed tomography reconstructed x‐ray images of spherical objects and the effects of sphere radii. Med Phys 2019; 46:4792-4802. [DOI: 10.1002/mp.13734] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 06/12/2019] [Accepted: 07/11/2019] [Indexed: 11/11/2022] Open
Affiliation(s)
| | | | - Cari Whyne
- Sunnybrook Research Institute Toronto M4N 3M5 ON Canada
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30
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Fisher C, Ali Z, Detsky J, Sahgal A, David E, Kunz M, Akens M, Chow E, Whyne C, Burch S, Wilson BC, Yee A. Photodynamic Therapy for the Treatment of Vertebral Metastases: A Phase I Clinical Trial. Clin Cancer Res 2019; 25:5766-5776. [DOI: 10.1158/1078-0432.ccr-19-0673] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 05/20/2019] [Accepted: 06/28/2019] [Indexed: 11/16/2022]
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Tan Z, McLachlin S, Whyne C, Finkelstein J. Validation of a freehand technique for cortical bone trajectory screws in the lumbar spine. J Neurosurg Spine 2019; 31:1-8. [PMID: 31003218 DOI: 10.3171/2019.1.spine181402] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 01/18/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVEThe cortical bone trajectory (CBT) technique for pedicle screw placement has gained popularity among spinal surgeons. It has been shown biomechanically to provide better fixation and improved pullout strength compared to a traditional pedicle screw trajectory. The CBT technique also allows for a less invasive approach for fusion and may have lower incidence of adjacent-level disease. A limitation of the current CBT technique is a lack of readily identifiable and reproducible visual landmarks to guide freehand CBT screw placement in comparison to the well-defined identifiable landmarks for traditional pedicle screw insertion. The goal of this study was to validate a safe and intuitive freehand technique for placement of CBT screws based on optimization of virtual CBT screw placement using anatomical landmarks in the lumbar spine. The authors hypothesized that virtual identification of anatomical landmarks on 3D models of the lumbar spine generated from CT scans would translate to a safe intraoperative freehand technique.METHODSCustomized, open-source medical imaging and visualization software (3D Slicer) was used in this study to develop a workflow for virtual simulation of lumbar CBT screw insertion. First, in an ex vivo study, 20 anonymous CT image series of normal and degenerative lumbar spines and virtual screw insertion were conducted to place CBT screws bilaterally in the L1-5 vertebrae for each image volume. The optimal safe CBT trajectory was created by maximizing both the screw length and the cortical bone contact with the screw. Easily identifiable anatomical surface landmarks for the start point and trajectory that best allowed the reproducible idealized screw position were determined. An in vivo validation of the determined landmarks from the ex vivo study was then performed in 10 patients. Placement of virtual "test" cortical bone trajectory screws was simulated with the surgeon blinded to the real-time image-guided navigation, and the placement was evaluated. The surgeon then placed the definitive screw using image guidance.RESULTSFrom the ex vivo study, the optimized technique and landmarks were similar in the L1-4 vertebrae, whereas the L5 optimized technique was distinct. The in vivo validation yielded ideal, safe, and unsafe screws in 62%, 16%, and 22% of cases, respectively. A common reason for the nonidealized trajectories was the obscuration of patient anatomy secondary to severe degenerative changes.CONCLUSIONSCBT screws were placed ideally or safely 78% of the time in a virtual simulation model. A 22% rate of unsafe freehand trajectories suggests that the CBT technique requires use of image-guided navigation or x-ray guidance and that reliable freehand CBT screw insertion based on anatomical landmarks is not reliably feasible in the lumbar spine.
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Affiliation(s)
- Zachary Tan
- 1Division of Orthopaedic Surgery, University of Toronto, Toronto
| | - Stewart McLachlin
- 2Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Toronto; and
- 3Mechanical & Mechatronics Engineering, University of Waterloo, Waterloo, Ontario, Canada
| | - Cari Whyne
- 1Division of Orthopaedic Surgery, University of Toronto, Toronto
- 2Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Toronto; and
| | - Joel Finkelstein
- 1Division of Orthopaedic Surgery, University of Toronto, Toronto
- 2Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Toronto; and
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Burke M, Akens M, Kiss A, Willett T, Whyne C. Mechanical behavior of metastatic vertebrae are influenced by tissue architecture, mineral content, and organic feature alterations. J Orthop Res 2018; 36:3013-3022. [PMID: 29978906 DOI: 10.1002/jor.24105] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 07/01/2018] [Indexed: 02/04/2023]
Abstract
Diminished vertebral mechanical behavior with metastatic involvement is typically attributed to modified architecture and trabecular bone content. Previous work has identified organic and mineral phase bone quality changes in the presence of metastases, yet limited work exists on the potential influence of such tissue level modifications on vertebral mechanical characteristics. This work seeks to determine correlations between features of bone (structural and tissue level) and mechanical behavior in metastatically involved vertebral bone. It is hypothesized that tissue level properties (mineral and organic) will improve these correlations beyond architectural properties and BMD alone. Twenty-four female athymic rats were inoculated with HeLa or Ace-1 cancer cells lines producing osteolytic (N = 8) or mixed (osteolytic/osteoblastic, N = 7) metastases, respectively. Twenty-one days post-inoculation L1-L3 pathologic vertebral motion segments were excised and μCT imaged. 3D morphometric parameters and axial rigidity of the L2 vertebrae were quantified. Sequential loading and μCT imaging measured progression of failure, stiffness and peak force. Relationships between mechanical testing (whole bone and tissue-level) and tissue-level material property modifications with metastatic involvement were evaluated utilizing linear regression models. Osteolytic involvement reduced vertebral trabecular bone volume, structure, CT-derived axial rigidity, stiffness and failure force compared to healthy controls (N = 9). Mixed metastases demonstrated similar trends. Previously assessed collagen cross-linking and proline-based residues were correlated to mechanical behavior and improved the predictive ability of the regression models. Similarly, collagen organization improved predictive regression models for metastatic bone hardness. This work highlights the importance of both bone content/architecture and organic tissue-level features in characterizing metastatic vertebral mechanics. © 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:3013-3022, 2018.
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Affiliation(s)
- Mikhail Burke
- Orthopaedics Biomechanics Laboratory, Sunnybrook Research Institute, 2075 Bayview Ave., Room S620, Toronto, Ontario,. M4N 3M5.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario
| | - Margarete Akens
- Department of Surgery, University of Toronto, Toronto, Ontario.,Techna, University Health Network, Toronto, Ontario
| | - Alex Kiss
- Evaluative Clinical Sciences, Hurvitz Brain Science Program, Sunnybrook Research Institute, Toronto, Ontario
| | - Thomas Willett
- Centre for Bioengineering and Biotechnology, University of Waterloo, Waterloo, Ontario
| | - Cari Whyne
- Orthopaedics Biomechanics Laboratory, Sunnybrook Research Institute, 2075 Bayview Ave., Room S620, Toronto, Ontario,. M4N 3M5.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario.,Department of Surgery, University of Toronto, Toronto, Ontario
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Wang Y, Kim J, Chan A, Whyne C, Nam D. A two phase regulation of bone regeneration: IL-17F mediates osteoblastogenesis via C/EBP-β in vitro. Bone 2018; 116:47-57. [PMID: 30010083 DOI: 10.1016/j.bone.2018.07.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 06/28/2018] [Accepted: 07/10/2018] [Indexed: 01/15/2023]
Abstract
T lymphocytes and pro-inflammatory cytokines, specifically interleukin-17F (IL-17F) have been identified as important regulators in bone regeneration during fracture repair. To better understand the molecular mechanisms of IL-17F-mediated osteoblastogenesis, a mouse pre-osteoblast cell line (MC3T3-E1) was utilized to characterize the intracellular signal transduction of IL-17F. Comparisons to the established canonical Wnt signaling pathway were made using Wnt3a ligand. Our results demonstrated greater bone marker gene expression in IL-17F-treated cells, compared to cells treated with Wnt3a. Western blot analysis confirmed degradation of β-catenin and up-regulation of two key proteins in osteoblast differentiation, Runx2 and C/EBP-β, in response to IL-17F treatment. RNA silencing of IL-17F receptors, IL-17Ra and IL-17Rc via siRNA transfection resulted in decreased expression of Act2, Runx2, and C/EBP-β, demonstrating the direct ligand-receptor interaction between IL-17F and IL-17Ra/c as an activator of osteoblastogenesis. Our findings suggest that IL-17F promotes osteoblast differentiation independent of the canonical Wnt pathway and β-catenin signaling, presenting new insights on modulating the adaptive immune response in the inflammatory phase, temporally distinct from the reparative and remodeling phases of fracture healing.
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Affiliation(s)
- Yufa Wang
- Sunnybrook Research Institute, Toronto, ON, Canada
| | - Jieun Kim
- MD/PhD Program, University of Toronto, Toronto, ON, Canada
| | - Andrea Chan
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada
| | - Cari Whyne
- Sunnybrook Research Institute, Toronto, ON, Canada; Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada; Institute of Biomaterials and Biomedical Engineering, Toronto, ON, Canada
| | - Diane Nam
- Sunnybrook Research Institute, Toronto, ON, Canada; Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.
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Zeng KL, Myrehaug S, Soliman H, Tseng CL, Atenafu EG, Campbell M, Faruqi S, Lee YK, Ruschin M, da Costa L, Yang V, Spears J, Heyn C, Maralani PJ, Whyne C, Yee A, Sahgal A. Stereotactic Body Radiotherapy for Spinal Metastases at the Extreme Ends of the Spine: Imaging-Based Outcomes for Cervical and Sacral Metastases. Neurosurgery 2018; 85:605-612. [DOI: 10.1093/neuros/nyy393] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 07/25/2018] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
The unique anatomy and biomechanical features of the cervical spine and sacrum may impact treatment outcomes following spine stereotactic body radiotherapy (SBRT). Current data for spine metastases are not specific for these locations.
Objective
To report imaging-based SBRT outcomes to cervical and sacral metastases.
Methods
We retrospectively reviewed our prospective spine SBRT database for cervical and sacral metastases. Patients were followed at 2- to 3-mo intervals with a clinical visit and full spine magnetic resonance imaging (MRI) and we report overall survival (OS), vertebral compression fracture (VCF), and MR imaging-based local control (LC) rates.
Results
Fifty-two patients and 93 treated spinal segments were identified. Fifty-six segments were within the cervical spine and 37 within the sacrum, the median follow-up was 14.4 and 19.5 mo, and the median total dose/number of fractions was 24 Gy/2, respectively. Cumulative LC at 1 and 2 yr were 94.5% and 92.7% for the cervical cohort, and 86.5% and 78.7% in the sacral cohort, respectively. Lack of posterior spinal element involvement in the cervical spine (P < .0001) and absence of epidural disease (hazard ratio 0.275, 95% confidence interval 0.076-0.989, P = .048) in the sacral cohort predicted LC. Median OS was 16.3 and 28.5 mo in the cervical spine and sacrum cohorts, respectively. Two cases of sacral VCF, 1 brachial plexopathy, and 1 lumbar-sacral plexopathy were observed.
CONCLUSION
Although high rates of LC were observed, strategies specific to the sacrum may require further optimization.
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Affiliation(s)
- K Liang Zeng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, University Health Network, Toronto, Ontario, Canada
| | - Mikki Campbell
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Salman Faruqi
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Young K Lee
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Leodante da Costa
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Victor Yang
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Julian Spears
- Department of Neurosurgery, St. Michaels Hospital, Toronto, Ontario, Canada
| | - Chris Heyn
- Department of Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Pejman Jabehdar Maralani
- Department of Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Cari Whyne
- Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Albert Yee
- Department of Orthopaedic Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Vachhani K, Whyne C, Wang Y, Burns DM, Nam D. Low-dose lithium regimen enhances endochondral fracture healing in osteoporotic rodent bone. J Orthop Res 2018; 36:1783-1789. [PMID: 29106746 DOI: 10.1002/jor.23799] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 10/26/2017] [Indexed: 02/04/2023]
Abstract
Osteoporotic bone fractures are highly prevalent and involve lengthy recovery. Lithium, commonly used in psychiatric medicine, inhibits glycogen synthase kinase-3β in the Wnt/β-catenin pathway, leading to up-regulation of osteogenesis. Our recent preclinical work demonstrated that a 20 mg/kg lithium dose administered beginning 7 days post-fracture for 14 days optimally improved femoral fracture healing in healthy rats at 4 weeks post fracture (46% higher torsional strength). In this study, lithium treatment was evaluated for healing of osteoporotic bone fractures. Six-month-old ovariectomized rats were subjected to closed, load-drop induced femoral diaphyseal fracture. Two regimens involving treatment initiation on day 7 and day 10, respectively, 20 mg/kg/day oral dose and 14 days duration were evaluated. Femurs of lithium- vs. saline- treated rats were analyzed at 4 weeks (for day 7 onset regimen) or 6 weeks (for day 10 onset regimen) post-fracture by stereology and torsional mechanical testing. Initiation on day 10 led to a significant 50% higher maximum yield torque (primary outcome measure) at 6 weeks (309 vs. 206 N-mm, p = 0.005; n = 7, 7). Initiation on day 7 suggested a trend toward a more modest improvement in maximum yield torque (13%) evaluated at 4 weeks post-fracture (234 vs. 206 N-mm, p = 0.10; n = 10, 13). Qualitatively, lithium-treated femurs demonstrated better periosteal and mineralized callus bridging in the day 10 initiation group. Lithium is a widely-available, orally administered, low-cost drug, which represents a feasible pharmacological intervention for both healthy and osteoporotic fracture healing. This study provides important guidelines for future clinical evaluation of lithium in osteoporotic fracture patients. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:1783-1789, 2018.
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Affiliation(s)
- Kathak Vachhani
- Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, M4N 3M5, Ontario, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Cari Whyne
- Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, M4N 3M5, Ontario, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.,Division of Orthopedic Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Yufa Wang
- Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, M4N 3M5, Ontario, Canada
| | - David M Burns
- Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, M4N 3M5, Ontario, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.,Division of Orthopedic Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Diane Nam
- Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, M4N 3M5, Ontario, Canada.,Division of Orthopedic Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
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Tomescu S, Bakker R, Wasserstein D, Kalra M, Nicholls M, Whyne C, Chandrashekar N. Dynamically tensioned ACL functional knee braces reduce ACL and meniscal strain. Knee Surg Sports Traumatol Arthrosc 2018; 26:526-533. [PMID: 29188333 DOI: 10.1007/s00167-017-4794-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 11/06/2017] [Indexed: 01/14/2023]
Abstract
PURPOSE The effectiveness of ACL functional knee braces to reduce meniscal and ACL strain after ACL injury or reconstruction is not well understood. A new dynamic knee tensioning brace system has been designed to apply an active stabilizing force to the knee. The ability of this system to reduce tissue strains is unknown. The purpose of this study was to test the ability of the dynamically tensioned brace to reduce strain in both the ACL and meniscus during rehabilitation activities. METHODS A combined in vivo/in silico/in vitro method was used to study three activities: gait, double leg squat, and single leg squat. Muscle forces and kinematics for each activity were derived through in vivo motion capture and applied to seven cadaveric knee specimens fitted with custom braces. Medial meniscal strain and ACL strain were measured in ACL intact, deficient and reconstructed conditions. RESULTS The brace lowered peak and average meniscal strain in ACL deficient knees (P < 0.05) by an average of 1.7%. The brace was also found to lower meniscal strain in reconstructed knees (1.1%) and lower ACL strain in ACL intact (1.3%) and reconstructed knees (1.4%) (P < 0.05). CONCLUSIONS This study supports the use of a brace equipped with a dynamic tensioning system to lower meniscal strain in ACL-deficient knees. Its use may help decrease the risk of subsequent meniscal tears in chronic ACL deficiency or delayed reconstruction. In ACL-intact and reconstructed knees, the brace may be beneficial in injury prophylaxis or in protecting the ACL graft following reconstruction. These results will aid clinicians make informed recommendations for functional brace use in patients with unstable knees. LEVEL OF EVIDENCE II.
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Affiliation(s)
- Sebastian Tomescu
- Sunnybrook Health Sciences Centre, University of Toronto, 343 - 43 Wellesley St. E., Toronto, ON, M4Y 1H1, Canada. .,Structural Biomechanics Laboratory, Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave W. E3 2115, Waterloo, ON, N2L 3G1, Canada.
| | - Ryan Bakker
- Structural Biomechanics Laboratory, Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave W. E3 2115, Waterloo, ON, N2L 3G1, Canada
| | - David Wasserstein
- Sunnybrook Health Sciences Centre, University of Toronto, 343 - 43 Wellesley St. E., Toronto, ON, M4Y 1H1, Canada
| | - Mayank Kalra
- Structural Biomechanics Laboratory, Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave W. E3 2115, Waterloo, ON, N2L 3G1, Canada
| | | | - Cari Whyne
- Sunnybrook Health Sciences Centre, University of Toronto, 343 - 43 Wellesley St. E., Toronto, ON, M4Y 1H1, Canada
| | - Naveen Chandrashekar
- Structural Biomechanics Laboratory, Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave W. E3 2115, Waterloo, ON, N2L 3G1, Canada
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Vachhani K, Pagotto A, Wang Y, Whyne C, Nam D. Design of experiments confirms optimization of lithium administration parameters for enhanced fracture healing. J Biomech 2018; 66:153-158. [DOI: 10.1016/j.jbiomech.2017.09.043] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2017] [Revised: 08/05/2017] [Accepted: 09/19/2017] [Indexed: 10/18/2022]
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Faruqi S, Tseng CL, Whyne C, Alghamdi M, Wilson J, Myrehaug S, Soliman H, Lee Y, Maralani P, Yang V, Fisher C, Sahgal A. Vertebral Compression Fracture After Spine Stereotactic Body Radiation Therapy: A Review of the Pathophysiology and Risk Factors. Neurosurgery 2017; 83:314-322. [DOI: 10.1093/neuros/nyx493] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 09/07/2017] [Indexed: 01/23/2023] Open
Abstract
Abstract
BACKGROUND
Vertebral compression fracture (VCF) is a challenging and not infrequent complication observed following spine stereotactic body radiation therapy (SBRT).
OBJECTIVE
To summarize the data from the multiple studies that have been published, addressing the risk and predictive factors for VCF post-SBRT.
METHODS
A systematic literature review was conducted. Studies were selected if they specifically addressed risk factors for post-SBRT VCF in their analyses.
RESULTS
A total of 11 studies were identified, reporting both the risk of VCF post-SBRT and an analysis of risk factors based on univariate and multivariate analysis. A total of 2911 spinal segments were treated with a crude VCF rate of 13.9%. The most frequently identified risk factors on multivariate analysis were: lytic disease (hazard ratio [HR] range, 2.76-12.2), baseline VCF prior to SBRT (HR range, 1.69-9.25), higher dose per fraction SBRT (HR range, 5.03-6.82), spinal deformity (HR range, 2.99-11.1), older age (HR range, 2.15-5.67), and more than 40% to 50% of vertebral body involved by tumor (HR range, 3.9-4.46). In the 9 studies that specifically reported on the use of post-SBRT surgical procedures, 37% of VCF had undergone an intervention (range, 11%-60%).
CONCLUSION
VCF is an important adverse effect following SBRT. Risk factors have been identified to guide the selection of high-risk patients. Evidence-based algorithms with respect to patient selection and intervention are needed.
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Affiliation(s)
- Salman Faruqi
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Cari Whyne
- Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Majed Alghamdi
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jefferson Wilson
- Department of Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Young Lee
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Pejman Maralani
- Department of Radiology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Victor Yang
- Department of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Charles Fisher
- Department of Neurosurgery, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
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Burke M, Golaraei A, Atkins A, Akens M, Barzda V, Whyne C. Collagen fibril organization within rat vertebral bone modified with metastatic involvement. J Struct Biol 2017; 199:153-164. [PMID: 28655593 DOI: 10.1016/j.jsb.2017.06.008] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 06/21/2017] [Accepted: 06/23/2017] [Indexed: 12/22/2022]
Abstract
Metastatic involvement diminishes the mechanical integrity of vertebral bone, however its specific impact on the structural characteristics of a primary constituent of bone tissue, the collagen-I fibril matrix, has not been adequately characterized. Female athymic rats were inoculated with HeLa or Ace-1 cancer cells lines producing osteolytic or mixed (osteolytic & osteoblastic) metastases respectively. A maximum of 21days was allowed between inoculation and rat sacrifice for vertebrae extraction. Linear polarization-in, polarization-out (PIPO) second harmonic generation (SHG) and transmission electron microscopy (TEM) imaging was utilized to assess the impact of metastatic involvement on collagen fibril organization. Increased observations of deviations in the typical plywood motif or a parallel packing structure and an increased average measured susceptibility ratio (related to relative degree of in-plane vs. out-plane fibrils in the analyzed tissue area) in bone adjacent to metastatic involvement was indicative of change in fibrilar organization compared to healthy controls. In particular, collagen-I fibrils in tumour-induced osteoblastic bone growth showed no adherence to the plywood motif or parallel packing structure seen in healthy lamellar bone, exhibiting a much higher susceptibility ratio and degree of fibril disorder. Negative correlations were established between measured susceptibility ratios and the hardness and modulus of metastatic bone tissue assessed in a previous study. Characterizing modifications in tissue level properties is key in defining bone quality in the presence of metastatic disease and their potential impact on material behaviour.
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Affiliation(s)
- Mikhail Burke
- Institution of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada; Orthopaedics Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Ahmad Golaraei
- Department of Physics and Institute for Optical Sciences, University of Toronto, Toronto, ON, Canada; Department of Chemical & Physical Sciences, University of Toronto Mississauga, Mississauga, ON, Canada
| | - Ayelet Atkins
- Orthopaedics Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Margarete Akens
- Department of Surgery, University of Toronto, Toronto, ON, Canada; Techna, University Health Network, Toronto, ON, Canada
| | - Virginijus Barzda
- Department of Physics and Institute for Optical Sciences, University of Toronto, Toronto, ON, Canada; Department of Chemical & Physical Sciences, University of Toronto Mississauga, Mississauga, ON, Canada
| | - Cari Whyne
- Institution of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada; Orthopaedics Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, ON, Canada; Department of Surgery, University of Toronto, Toronto, ON, Canada.
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Burke M, Atkins A, Kiss A, Akens M, Yee A, Whyne C. The impact of metastasis on the mineral phase of vertebral bone tissue. J Mech Behav Biomed Mater 2017; 69:75-84. [DOI: 10.1016/j.jmbbm.2016.12.017] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Revised: 12/12/2016] [Accepted: 12/20/2016] [Indexed: 12/22/2022]
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McLachlin S, Lesieur M, Stephen D, Kreder H, Whyne C. Biomechanical analysis of anterior ring fixation of the ramus in type C pelvis fractures. Eur J Trauma Emerg Surg 2017; 44:185-190. [PMID: 28391395 DOI: 10.1007/s00068-017-0788-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 03/20/2017] [Indexed: 11/30/2022]
Abstract
PURPOSE This biomechanical study compared the stability of four different ramus fracture fixation methods for Type C pelvic ring injuries in the absence of posterior fixation. METHODS A 5-mm vertical osteotomy of the mid-superior and inferior pubic ramus was created in 12 synthetic pelvic models. Four surgical constructs were compared: (1) two-pin AIIS external fixation, (2) 3.5-mm reconstruction plating, (3) bicortical, fully threaded 3.5-mm, and (4) 6.5-mm pubic ramus screws. Specimens were tested in a simulated one-legged stance on a hemiarthroplasty implant in three stages: (1) no applied load, (2) application of the loading fixture preload to the sacrum (6N), and (3) following six cycles of a 250N load. Stability was assessed based on resultant displacement of the fracture sites at the superior ramus and the anterior sacroiliac joint. RESULTS The bicortical, fully threaded 6.5-mm pubic ramus screw provided the most stable ramus fracture fixation (0.5 ± 0.4 mm) displacement under load and was the only construct to finish testing without gross posterior pelvic disruption. Plate constructs finished the final loading stage with only a small increase (3.1 ± 2.3 mm) in ramus fracture gap size, but had significant displacement at the SI joint (>20 mm). 3.5-mm screw constructs had 1.6 ± 0.7 mm of ramus displacement in the preload stage, but had complete posterior pelvic disruption (>20 mm) that prevented further testing. External fixation was unstable at the ramus and sacroiliac sites in the initial setup. CONCLUSIONS The bicortical, fully threaded 6.5-mm pubic ramus screw was the only anterior fixation construct tested that controlled motion at both the anterior and posterior pelvic rings in the absence of posterior fixation.
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Affiliation(s)
- S McLachlin
- Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, 2075 Bayview Ave., Room S611, Toronto, M4N 3M5, ON, Canada
| | - M Lesieur
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada
| | - D Stephen
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada
| | - H Kreder
- Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada
| | - C Whyne
- Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, 2075 Bayview Ave., Room S611, Toronto, M4N 3M5, ON, Canada. .,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada. .,Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.
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Burns DM, Chahal J, Shahrokhi S, Henry P, Wasserstein D, Whyne C, Theodoropoulos J, Ogilvie-Harris D, Dwyer T. Diagnosis of Engaging Bipolar Bone Defects in the Shoulder Using 2-Dimensional Computed Tomography: A Cadaveric Study. Am J Sports Med 2016; 44:2771-2777. [PMID: 27496905 DOI: 10.1177/0363546516655797] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Anatomic studies have demonstrated that bipolar glenoid and humeral bone loss have a cumulative effect on shoulder instability and that these defects may engage in functional positions depending on their size and location, potentially resulting in failure of stabilization procedures. Determining which lesions pose a risk for engagement remains challenging, with arthroscopic assessments and a 3-dimensional computed tomography (CT)-based glenoid track method being accepted approaches at this time. PURPOSE The purpose was to investigate the interaction of humeral and glenoid bone defects on shoulder engagement in a cadaveric model. Two alternative approaches to predicting engagement were evaluated: (1) CT of the shoulder in abduction and external rotation (ABER) and (2) measurement of the glenoid lesion width and measurement of a novel parameter, the intact anterior articular angle (IAAA), on conventional 2-dimensional multiplane reformats. STUDY DESIGN Controlled laboratory study. METHODS Hill-Sachs and glenoid defects of varying sizes were created in 12 cadaveric upper limbs, producing 45 bipolar defect combinations. The defect characteristics were assessed using CT with the shoulder in a neutral position. ABER CT was performed with the shoulder positioned in 60° of glenohumeral abduction (corresponding to 90° of abduction relative to the trunk) and 90° of external rotation. The IAAA was measured as the cartilage arc angle anterior to the Hill-Sachs defect on the axial slice bisecting the humeral head. The performance of the ABER CT and IAAA approaches to predicting engagement were compared with the glenoid track method. RESULTS Of the 45 defect combinations, 24 (53%) were classified as engaging using the glenoid track method. ABER CT predicted engagement accurately in 43 of 45 (96%), with a sensitivity and specificity of 92% and 100%, respectively. A logistic model based on the glenoid defect width and IAAA provided a prediction accuracy of 87%, with a sensitivity and specificity of 92% and 81%, respectively. CONCLUSION/CLINICAL RELEVANCE Bipolar lesions at risk for engagement can be identified accurately using an ABER CT scan or by performing 2-dimensional measurements of the glenoid defect width and IAAA on conventional CT multiplane reformats. This information will be useful for surgical planning in the setting of bipolar bone defects before shoulder stabilization.
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Affiliation(s)
- David M Burns
- Division of Orthopaedics, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Jaskarndip Chahal
- Division of Orthopaedics, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.,Orthopedic Sports Medicine Program, University of Toronto, Toronto, Ontario, Canada
| | - Shahram Shahrokhi
- Division of Orthopaedics, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.,Orthopedic Sports Medicine Program, University of Toronto, Toronto, Ontario, Canada
| | - Patrick Henry
- Division of Orthopaedics, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.,Orthopedic Sports Medicine Program, University of Toronto, Toronto, Ontario, Canada
| | - David Wasserstein
- Division of Orthopaedics, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.,Orthopedic Sports Medicine Program, University of Toronto, Toronto, Ontario, Canada.,Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Cari Whyne
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - John Theodoropoulos
- Division of Orthopaedics, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.,Orthopedic Sports Medicine Program, University of Toronto, Toronto, Ontario, Canada
| | - Darrell Ogilvie-Harris
- Division of Orthopaedics, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.,Orthopedic Sports Medicine Program, University of Toronto, Toronto, Ontario, Canada
| | - Tim Dwyer
- Division of Orthopaedics, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.,Orthopedic Sports Medicine Program, University of Toronto, Toronto, Ontario, Canada.,Sunnybrook Research Institute, Toronto, Ontario, Canada
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Falcinelli C, Schileo E, Pakdel A, Whyne C, Cristofolini L, Taddei F. Can CT image deblurring improve finite element predictions at the proximal femur? J Mech Behav Biomed Mater 2016; 63:337-351. [PMID: 27450036 DOI: 10.1016/j.jmbbm.2016.07.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Revised: 05/31/2016] [Accepted: 07/04/2016] [Indexed: 11/29/2022]
Abstract
The aim of this study was to determine if a CT image deblurring algorithm can improve CT-based FE modelling accuracy at the proximal femur. Experimental data (CT scans of fourteen proximal fresh-frozen cadaveric femurs, non-destructive surface strain measurements in stance and sideways fall loading configurations on all femurs, and failure loads obtained in stance for seven specimens, in sideways fall for the other seven) were taken from a recent study (Schileo et al., 2014). An estimate of the 3D Point Spread Function for each CT scan was used within a deconvolution solver to perform the deblurring. The most proximal regions of three specimens were scanned using an HRpQCT scanner and compared to the original and deblurred CT images to quantify errors in bone contour estimates and determine correlation of intensity values within the bone contours. Subject-specific FE models of the proximal femur were generated. The accuracy of deblurred FE predictions against experimental measurements was compared to the published (non-deblurred) FE results. When compared to HRpQCT, CT deblurring led to lower mean surface distances (0.31 vs. 0.49mm) and higher CT intensity correlations with respect to the original CT. All indicators of strain prediction accuracy were significantly improved in deblurred FE models, more markedly at the femoral neck (peak error reduced by 38%). Failure load prediction, based on a simple elastic limit model, was also improved in deblurred FE models, although differently for stance and sideways fall loading conditions. In stance, correlation was unchanged, but specimen-wise errors were reduced (mean error 10% vs. 15%). In sideways fall, correlation notably increased (R(2)=0.95 vs. 0.81), despite a general overestimation of failure load. In summary, the proposed CT deblurring technique yielded moderate but significant improvements in FE predictions, and may thus be considered a first step toward the improvement of CT-based FE models of the human femur.
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Affiliation(s)
- Cristina Falcinelli
- Medical Technology Laboratory, Rizzoli Orthopaedic Institute, Via di Barbiano 1/10, 40136 Bologna, Italy.
| | - Enrico Schileo
- Bioengineering Computing Laboratory, Rizzoli Orthopaedic Institute, Via di Barbiano 1/10, 40136 Bologna, Italy
| | - Amirreza Pakdel
- Orthopaedic Biomechanics Laboratory, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, Canada M4N 3M5
| | - Cari Whyne
- Orthopaedic Biomechanics Laboratory, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, Canada M4N 3M5
| | - Luca Cristofolini
- Department of Industrial Engineering, Alma Mater Studiorum - Universita' di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
| | - Fulvia Taddei
- Medical Technology Laboratory, Rizzoli Orthopaedic Institute, Via di Barbiano 1/10, 40136 Bologna, Italy
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Oakden W, Kwiecien JM, O'Reilly MA, Dabrowski W, Whyne C, Finkelstein J, Hynynen K, Stanisz GJ. Quantitative MRI in a non-surgical model of cervical spinal cord injury. NMR Biomed 2015; 28:925-936. [PMID: 26053102 DOI: 10.1002/nbm.3326] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Revised: 04/16/2015] [Accepted: 04/19/2015] [Indexed: 06/04/2023]
Abstract
Quantitative T2 (qT2), diffusion tensor imaging (DTI), and histology were used to investigate a cervical model of spinal cord injury (SCI) in the rat. While quantitative MRI can significantly increase the specificity in the presence of pathology, it must be validated for each type of injury or disease. In the case of traumatic SCI most models are difficult to image, either due to the location of the injury, or as a result of damage to surrounding tissues resulting from invasive surgical procedures. In this study a non-surgical cervical model of SCI, produced using a combination of focused ultrasound and microbubbles, was used to produce pathology similar to that seen in models of contusive and compressive injuries. qT2 and DTI were performed at 24 h and 1 and 2 weeks following injury, and compared with H&E and luxol fast blue histology. In the injured spinal cord, in addition to intra/extracellular (I/E) water and myelin water in white matter, qT2 revealed a large component with very short T2 of about 3 ms, which was highly correlated with the presence of hemorrhage in both gray and white matter at 24 h, and with the presence of hemosiderin in gray matter at 2 weeks following injury. The T2 of the I/E water peak was also elevated at 24 h in both gray and white matter, which was correlated with the presence of vacuolation/edema on histology. Cystic cavities were only seen at the 1 or 2 week timepoints, and were correlated with the presence of a water peak with T2 > 250 ms. No significant changes in diffusivity parameters were observed. Pathologies were often co-occurring, with opposite effects on the average T2 in a given voxel, reducing the visibility of injured tissue on standard T2 -weighted MR images.
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Affiliation(s)
- Wendy Oakden
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Jacek M Kwiecien
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Meaghan A O'Reilly
- Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Wojciech Dabrowski
- Department of Anaesthesiology and Intensive Therapy, Medical University of Lublin, Lublin, Poland
| | - Cari Whyne
- Orthopaedic Biomechanics Laboratory, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Division of Orthopaedics, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Joel Finkelstein
- Division of Orthopaedics, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Kullervo Hynynen
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Greg J Stanisz
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
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Bailey C, Stratton A, Manson N, Layne E, McKeon M, Harris S, McIntosh G, DellaMora L, McIntosh G, Miyanji F, Joukhadar N, Miyanji F, Miyanji F, Miyanji F, Miyanji F, Larouche J, Aoude A, Hardy-St-Pierre G, Roffey D, Evaniew N, Fazli G, Lin C, Dea N, Flood M, Glennie RA, Millstone DB, Nater A, Witiw C, Maggio D, Harris S, Collings D, Yee A, Tetreault L, Street J, Phillips J, Cochran M, Bigney E, Bouchard J, Jack A, Shamji M, Shamji M, Nakashima H, Chaudhary BR, Johnson M, Manson N, Tetreault L, Glennie RA, Evaniew N, Morris S, Spurway A, Bateman A, Abduljabbar F, Shamji M, McLachlin S, Manson N, Palkovsky R, Ailon T, Tetreault L, Johnson M, Street J, Street J, Bourassa-Moreau E, Nouri A, McIntosh G, Contreras A, Phan P, Hardy-St-Pierre G, Jarzem P, Wu H, Parsons D, Chukwunyerenwa C, Nadeau M, Bailey S, Rosas-Arellano P, Dehens S, Sequeira K, Miller T, Watson J, Siddiqi F, Gurr K, Urquhart J, Thomas K, McIntosh G, Hirsch L, Abraham E, Green A, McIntosh G, Roffey D, Wilson C, Kingwell S, Wai E, Manson N, Abraham E, Taylor E, Murray J, Albert W, Rampersaud R, Hall H, Carter T, Gregg C, Perruccio AV, Badley EM, Rampersaud YR, Steenstra I, Hall H, Carter T, Bastrom T, Samdani A, Yaszay B, Clements D, Shah S, Marks M, Betz R, Shufflebarger H, Newton P, Skaggs D, Heflin J, Yasin M, El-Hawary R, Bastrom T, Samdani A, Yaszay B, Asghar J, Shah S, Betz R, Shufflebarger H, Newton P, Reilly C, Choi J, Mok J, Nitikman M, Desai S, Reilly C, Desai S, Doddabasappa S, Reilly C, Nitikman M, Desai S, Paquette S, Fisher C, Domisse I, Wadey V, Hall H, Finkelstein J, Bouchard J, Hurlbert J, Broad R, Fox R, Hedden D, Nataraj A, Carey T, Bailey C, Chapman M, Moroz P, Chow D, Wai E, Tsai E, Christie S, Lundine K, Paquet J, Splawinski J, Wheelock B, Goytan M, Ahn H, Massicotte E, Fehlings M, Yee A, Alhamzah H, Fortin M, Jarzem P, Ouellet J, Weber M, Jack A, Thomas KC, Nataraj A, Coyle M, Kingwell S, Wai E, van der Watt L, Bhandari M, Ghert M, Aleem I, Drew B, Guyatt G, Jeyaratnam J, Nandlall N, Coyte P, Rampersaud R, Witiw C, Sundararajan K, Rampersaud YR, Fisher C, Batke J, Street J, Abraham E, Green A, Manson N, Ailon T, Batke J, Dea N, Street J, Perruccio AV, Badley EM, Rampersaud YR, Fehlings M, Tetreault L, Kopjar B, Fisher C, Vaccaro A, Arnold P, Schuster J, Finkelstein J, Rhines L, Dekutoski M, Gokaslan Z, France J, Rose P, Lin C, Sundararajan K, Rampersaud YR, Ailon T, Smith J, Shaffrey C, Lafage V, Schwab F, Haid R, Protopsaltis T, Klineberg E, Scheer J, Bess S, Arnold P, Chapman J, Fehlings M, Ames C, Rampersaud R, Nutt L, Urquhart J, Kuska L, Siddiqi F, Gurr K, Bailey C, Burch S, Sahgal A, Chow E, Niu C, Fisher C, Whyne C, Akens M, Bisland S, Wilson B, Nouri A, Cote P, Fehlings M, Mendelsohn D, Strelzow J, Batke J, Dvorak M, Fisher C, Urquhart J, Tallon C, Gurr K, Siddiqi F, Bailey S, Bailey C, Abraham E, Green A, Manson N, Manson NA, Green AJ, Abraham EP, Hurlbert J, Mogadham K, Swamy G, Tsahtsarlis A, Siddiqui M, Pierre GHS, Nataraj A, Mohanty C, Massicotte E, Fehlings M, Shcharinsky A, Tetreault L, Nagoshi N, Aria N, Fehlings M, Amritanand R, Rampersaud YR, Passmore S, McIntosh G, Abraham E, Green A, McIntosh G, Kopjar B, Cote P, Fehlings M, Arnold P, Batke J, Dea N, Dvorak M, Noonan V, Street J, Khan M, Drew B, Kwok D, Bhandari M, Ghert M, Howard J, Rasmusson D, El-Hawary R, Kishta W, Chukwunyerenwa C, El-Hawary R, Balkovec C, Akens M, Harrison R, McGill S, Yee A, Al-Jurayyan A, Alqahtani S, Sardar Z, Saluja RS, Ouellet J, Weber M, Steffen T, Beckman L, Jarzem P, Tu Y, Salter M, Polley B, Beig M, Larouche J, Whyne C, Green A, McIntosh G, Abraham E, Nicholls F, Burch S, Wagner P, Zhou H, Egge N, Harrigan M, Lapinsky A, Connoly P, Street J, DiPaola C, Kopjar B, Tan G, Cote P, Fehlings M, Passmore S, Street J, Fisher C, McIntosh G, Perlus IR, Kennedy J, Lenehan B, Strelzow J, Mendelsohn D, Dea N, Dvorak M, Fisher C, Mac-Thiong JM, Parent S, Li A, Thompson C, Tetreault L, Zamorano J, Dalzell K, Davis A, Mikulis D, Yee A, Fehlings M, Hall H, Carter T, Gregg C, Batke J, Dea N, Dvorak MF, Fisher CG, Street J, Le V(B, Roffey D, Kingwell S, MacPherson P, Desjardins M, Wai E, Siddiqui M, Henderson RL, Nataraj A, Simoes L, Assaker R, Ritter-Lang K, Vardon D, Litrico S, Fuentes S, Putzier M, Frank J, Guigui P, Nakach G, Le Huec JC, Pennington A, Batke J, Yang K, Fisher CG, Dvorak MF, Street J, Da Cunha R, Al Sayegh S, LaMothe J, Letal M, Johal H, Ferri-de-Barros F, El-Hawary R, Gauthier L, Spurway A, Johnston C, McClung A, Batke J, Lauscher HN, Fischer C, Street J. Canadian spine society 15th annual scientific conference. Can J Surg 2015; 58:S43-70. [PMID: 26011856 DOI: 10.1503/cjs.005515] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Cruz JP, Sahgal A, Whyne C, Fehlings MG, Smith R. Tumor extravasation following a cement augmentation procedure for vertebral compression fracture in metastatic spinal disease. J Neurosurg Spine 2014; 21:372-7. [PMID: 24905395 DOI: 10.3171/2014.4.spine13695] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Balloon kyphoplasty (BKP) has been proven to be safe and effective in the management of pathological vertebral compression fracture (VCF) due to metastatic spinal disease. The most common serious complications related to BKP include cement extravasation and new fractures at adjacent levels. Although the potential for "tumor extravasation" has been discussed as a potential iatrogenic complication, it has yet to be confirmed. The authors report on 2 cases of tumor extravasation following BKP, which they base on an observed unusual rapid tumor spread pattern into the adjacent tissues. They postulate that by increasing the vertebral body internal pressure and disrupting the tissues during balloon inflation and cement application, a soft-tissue tumor can be forced beyond the vertebral bony boundaries through pathological cortical defects. This phenomenon can manifest radiologically as subligamentous spread and/or extension into venous sinusoids, resulting in epidural venous plexus involvement, with subsequent tumor migration into the adjacent vertebral segments. Accordingly, the authors advise caution in using BKP when significant epidural tumor is present. The complication they encountered has caused them to modify their preference such that they now first use radiosurgery and subsequently BKP to ensure the target is appropriately treated, and they are currently developing possible modifications of procedural technique to reduce the risk.
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Affiliation(s)
- Juan Pablo Cruz
- Department of Medical Imaging, Toronto Western Hospital, University of Toronto
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van West H, Hodgson B, Parent E, Samuel S, Hodgson B, Ferland C, Soroceanu A, Soroceanu A, Protopsaltis T, Protopsaltis T, Radovanovic I, Amritanand R, Shamji M, Haugo K, Malham G, Jarzem P, Rampersaud Y, Tomkins-Lane C, Manson N, Malham G, Rampersaud Y, Malham G, Malham G, King V, Goldstein C, Fisher C, Fehlings M, Fisher C, Wong E, Sardar Z, Christie S, Patel A, Pinkoski C, Ahn H, Drew B, Dvorak M, Pezeshki P, Altaf F, Wilde P, Rampersaud Y, Sparrey C, Tetreault L, Fehlings M, Tetreault L, Rampersaud R, Jack A, Johnstone R, Fernandes A, Urquhart J, Morokoff A, Manson N, Tomkins-Lane C, Phan P, Evaniew N, Shamji M, Manson J, Rampersaud Y, Nault ML, St-Pierre GH, Larouche J, Lewis S, Wilgenbusch C, Lewis S, Rampersaud Y, Johnson R, Cushnie D, Sridharan S, Street J, Gregg C, Missiuna P, Abraham E, Abraham E, Manson N, Huang E, Passmore S, Mac-Thiong JM, Labelle H, Moulin D, Turgeon I, Roy-Beaudry M, Bourassa N, Petit Y, Parent. S, Chabot S, Westover L, Hill D, Moreau M, Hedden D, Lou E, Adeeb. S, Smith M, Bridge C, Hsu B, Gray. R, Group PORSCHES, Saran N, Mac-Thiong JM, Stone L, Ouellet. J, Protopsaltis T, Terran J, Bronsard N, Smith J, Klineberg E, Mundis G, Hostin R, Hart R, Shaffrey C, Bess S, Ames C, Schwab F, Lafage. V, Schwab F, Lafage V, Protopsaltis T, Ames C, Bess S, Smith J, Errico. T, Schwab F, Soroceanu A, Bronsard N, Smith J, Klineberg E, Mundis G, Hostin R, Hart R, Burton D, Ames C, Shaffrey C, Bess S, Errico T, Lafage. V, Terran J, Soroceanu A, Bronsard N, Smith J, Klineberg E, Mundis G, Kim HJ, Hostin R, Hart R, Shaffrey C, Bess S, Ames C, Schwab F, Lafage. V, Urquhart J, Gananapathy V, Siddiqi F, Gurr K, Bailey C, Ravi B, David K, Rampersaud. R, Tu Y, Salter. M, Nichol H, Fourney D, Kelly. M, Parker R, Ellis N, Blecher C, Chow F, Claydon. M, Sardar Z, Alexander D, Oxner W, Plessis SD, Yee A, Wai. E, Lewis S, Davey J, Gandhi R, Mahomed. N, Hu R, Thomas K, Hepler C, Choi K, Rowed K, Haig. A, Lam. K, Parker R, Blecher C, Seex. K, Perruccio A, Gandhi R, Program. UHNA, Ellis N, Parker R, Goss B, Blecher C, Ballok. Z, Parker R, Ellis N, Chan P, Varma. D, Swart A, Winder M, Varga PP, Gokaslan Z, Boriani S, Luzzati A, Rhines L, Fisher C, Chou D, Williams R, Dekutoski M, Quraishi N, Bettegowda C, Kawahara N, Fehlings. M, Versteeg A, Boriani S, Varga PP, Dekutoski M, Luzzati A, Gokaslan Z, Williams R, Reynolds J, Fehlings M, Bettegowda C, Rhines. L, Zamorano J, Nater A, Tetrault L, Varga P, Gokaslan Z, Boriani S, Fisher C, Rhines L, Bettegowda C, Kawahara N, Chou. D, Fehlings M, Kopjar B, Vaccaro A, Arnold P, Schuster J, Finkelstein J, Rhines L, Dekutoski M, Gokaslan Z, France. J, Whyne C, Singh D, Ford. M, Aldebeyan W, Ouellet J, Steffen T, Beckman L, Weber M, Jarzem. P, Kwon B, Ahn H, Bailey C, Fehlings M, Fourney D, Gagnon D, Tsai E, Tsui D, Parent S, Chen J, Dvorak M, Noonan V, Rivers C, Network RHSCIR, Batke J, Lenehan B, Fisher C, Dvorak M, Street. J, Fox R, Nataraj A, Bailey C, Christie S, Duggal N, Fehlings M, Finkelstein J, Fourney D, Hurlbert R, Kwon B, Townson A, Tsai E, Attabib N, Chen J, Dvorak M, Noonan V, Rivers C, Network. RHSCIR, Fehlings M, Paquet J, Ahn H, Attabib N, Bailey C, Christie S, Duggal N, Finkelstein J, Fourney D, Hurlbert R, Johnson M, Kwon B, Parent S, Tsai E, Dvorak M, Noonan V, Rivers C, Shen T, Network. RHSCIR, Fisher C, Kwon B, Drew B, Fehlings M, Paquet J, Ahn H, Attabib N, Bailey C, Christie S, Duggal N, Finkelstein J, Fourney D, Hurlbert R, Johnson M, Mac-Thiong JM, Parent S, Tsai E, Fallah N, Noonan V, Rivers C, Network RHSCIR, Davidson S, McCann C, Akens M, Murphy K, Whyne C, Sherar M, Yee. A, Belanger L, Ronco J, Dea N, Paquette S, Boyd M, Street J, Fisher C, Dvorak M, Kwon B, Gonzalvo A, Fitt G, Liew S, de la Harpe D, Turner P, Rogers M, Bidos A, Fanti C, Young B, Drew B, Puskas. D, Tam H, Manansala S, Nosov V, Delva M, Alshafai N, Kopjar B, Tan G, Arnold P, Fehlings. M, Kopjar B, Arnold P, Ibrahim A, Tetrault. L, Kopjar B, Arnold P, Fehlings. M, Sundararajan K, Eng. S, St-Pierre G, Nataraj A, Urquhart J, Rosas-Arellano P, Tallon C, Gurr K, Siddiqi F, Bailey S, Bailey C, Sundararajan K, Rampersaud. R, Rosa-Arellano P, Tallon C, Bailey S, Gurr K, Bailey. C, Parker R, Milili L, Goss B, Malham. G, Green A, McKeon M, Abraham. E, Lafave L, Parnell J, Rempel J, Moriartey S, Andreas Y, Wilson P, Hepler C, Ray H, Hu. R, Ploumis A, Hess K, Wood. K, Yarascavitch B, Madden K, Ghert M, Drew B, Bhandari M, Kwok D, Tu YS, Salter. M, Hadlow. A, Tso P, Walker K, Lewis S, Davey J, Mahomed N, Coyte. P, Mac-Thiong JM, Roy-Beaudry M, Turgeon I, Labelle H, deGuise J, Parent. S, Jack A, Fox R, Nataraj A, Paquette S, Leroux T, Yee A, Ahn H, Broad R, Fisher C, Hall H, Nataraj A, Hedden D, Christie S, Carey T, Mehta V, Fehlings M, Wadey. V, Dear T, Hashem. M, Fourney D, Goldstein S, Bodrogi A, Lipkus M, Dear T, Keshen S, Veillette C, Gandhi R, Adams D, Briggs N, Davey J, Fehlings M, Lau J, Lewis S, Magtoto R, Marshall K, Massicotte E, Ogilvie-Harris D, Sarro A, Syed K, Mohamed. N, Perera S, Taha A, Urquhart J, Gurr K, Siddiqi F, Bailey C, Thomas K, Cho R, Swamy G, Power C, Henari S, Lenehan. B, McIntosh G, Hall H, Hoffman. C, Karachi A, Pazionis T, AlShaya O, Green A, McKeon M, Manson. N, Green A, McKeon M, Manson. N, Green A, McKeon M, Murray J, Abraham. E, Thomas K, Suttor S, Goyal T, Littlewood J, Bains I, Bouchard J, Hu R, Jacobs B, Cho R, Swamy G, Johnson M, Pelleck V, Amad Y, Ramos E, Glazebrook C. Combined Spine Conference of the Canadian Spine Society New Zealand Orthopaedic Spine Society, Spine Society of Australia: Fairmont Château Lake Louise, Lake, Louise, Alberta, Tuesday, Feb. 25 to Saturday, Mar. 1, 20141.1.01 The use of suspension radiographs to predict LIV tilt.1.1.02 Surgical correction of adolescent idiopathic scoliosis without fusion: an animal model.1.1.03 Are full torso surface topography postural measurements more sensitive to change than back only parameters in adolescents with idiopathic scoliosis and a main thoracic curve?1.2.04 Restoration of thoracic kyphosis in adolescent idiopathic kyphosis: comparative radiographic analysis of round versus rail rods.1.2.05 Scoliosis surgery in spastic quadriplegic cerebral palsy: Is fusion to the pelvis always necessary? A 4–18-year follow-up study.1.2.06 Identification and validation of pain-related biomarkers surrounding spinal surgery in adolescents.1.3.07 Cervical sagittal deformity develops after PJK in adult throacolumbar deformity correction: radiographic analysis using a novel global sagittal angular parameter, the CTPA.1.3.08 Impact of obesity on complications and patient-reported outcomes in adult spinal deformity surgery.1.3.09 The T1 pelvic angle, a novel radiographic measure of sagittal deformity, accounts for both pelvic retroversion and truncal inclination and correlates strongly with HRQOL.1.4.10 Determining cervical sagittal deformity when it is concurrent with thoracolumbar deformity.1.4.11 The influence of sagittal balance and pelvic parameters on the outcome of surgically treated patients with degenerative spondylolisthesis.1.4.12 Predictors of degenerative spondylolisthesis and loading translation in surgical lumbar spinal stenosis patients.2.1.13 Mechanical allodynia following disc herniation requires intraneural macrophage infiltration and can be blocked by systemic selenium delivery or attenuation of BDNF activity.2.1.14 The effect of alanyl-glutamine on epidural fibrosis in a rat laminectomy model.2.1.15 Anterior lumbar interbody fusion using recombinant human bone morphogenetic protein-2: a prospective study of complications.2.2.16 2-year results of a Canadian, multicentre, blinded, pilot study of a novel peptide in promoting lumbar spine fusion.2.2.17 Comparative outcomes and cost-utility following surgical treatment of focal lumbar spinal stenosis compared with osteoarthritis of the hip or knee: long-term change in health-related quality of life.2.2.18 Changes in objectively measured walking performance, function, and pain following surgery for spondylolisthesis and lumbar spinal stenosis.2.3.19 A prospective multicentre observational data-monitored study of minimally invasive fusion to treat degenerative lumbar disorders: complications and outcomes at 1-year follow-up.2.3.20 Assessment and classification of subsidence in lateral interbody fusion using serial computed tomography.2.3.21 Predictors of willingness to undergo spinal and orthopaedic surgery after surgical consultation.2.4.22 Indirect foraminal decompression is independent of facet arthropathy in extreme lateral interbody fusion.2.4.23 Cervical artificial disc replacement with ProDisc-C: clinical and radiographic outcomes with long-term follow-up.2.4.24 Tantalum trabecular metal implants in anterior cervical corpectomy and fusion.3.1.25 Hemangiomas of the spine: results of surgical management and prognostic variables for local recurrence and mortality in a multicentre study.3.1.26 Chondrosarcomas of the spine: prognostic variables for local recurrence and mortality in a multicentre study.3.1.27 Risk factors for recurrence of surgically treated spine schwannomas: analysis of 169 patients from a multicentre international database.3.2.28 Survival pattern and the effect of surgery on health related quality of life and functional outcome in patients with metastatic epidural spinal cord compression from lung cancer — the AOSpine North America prospective multicentre study.3.2.29 A biomechanical assessment of kyphoplasty as a stand-alone treatment in a human cadaveric burst fracture model.3.2.30 What is safer in incompetent vertebrae with posterior wall defects, kyphoplasty or vertebroplasty: a study in vertebral analogs.3.3.31 Feasibility of recruiting subjects for acute spinal cord injury (SCI) clinical trials in Canada.3.3.32 Prospective analysis of adverse events in elderly patients with traumatic spinal cord injury.3.3.33 Does traction before surgery influence time to neural decompression in patients with spinal cord injury?3.4.34 Current treatment of individuals with traumatic spinal cord injury: Do we need age-specific guidelines?3.4.35 Current surgical practice for traumatic spinal cord injury in Canada.3.4.36 The importance of “time to surgery” for traumatic spinal cord injured patients: results from an ambispective Canadian cohort of 949 patients.3.5.37 Assessment of a novel coil-shaped radiofrequency probe in the porcine spine.3.5.38 The effect of norepinephrine and dopamine on cerebrospinal fluid pressure after acute spinal cord injury.3.5.39 The learning curve of pedicle screw placement: How many screws are enough?4.1.40 Preliminary report from the Ontario Inter-professional Spine Assessment and Education Clinics (ISAEC).4.1.41 A surrogate model of the spinal cord complex for simulating bony impingement.4.1.42 Clinical and surgical predictors of specific complications following surgery for the treatment of degenerative cervical myelopathy: results from the multicentre, prospective AOSpine international study on 479 patients.4.2.43 Outcomes of surgical management of cervical spondylotic myelopathy: results of the prospective, multicentre, AOSpine international study in 479 patients.4.2.44 A clinical prediction rule for clinical outcomes in patients undergoing surgery for degenerative cervical myelopathy: analysis of an international AOSpine prospective multicentre data set of 757 subjects.4.2.45 The prevalence and impact of low back and leg pain among aging Canadians: a cross-sectional survey.4.3.46 Adjacent segment pathology: Progressive disease course or a product of iatrogenic fusion?4.3.47 Natural history of degenerative lumbar spondylolisthesis in patients with spinal stenosis.4.3.48 Changes in self-reported clinical status and health care utilization during wait time for surgical spine consultation: a prospective observational study.4.3.49 The Canadian surgical wait list for lumbar degenerative spinal stenosis has a detrimental effect on patient outcomes.4.3.50 Segmental lordosis is independent of interbody cage position in XLIF.4.3.51 Elevated patient BMI does not negatively affect self-reported outcomes of thoracolumbar surgery.1.5.52 The Spinal Stenosis Pedometer and Nutrition Lifestyle Intervention (SSPANLI): development and pilot.1.5.53 Study evaluating the variability of surgical strategy planning for patients with adult spinal deformity.1.5.54 Atlantoaxial instability in acute odontoid fractures is associated with nonunion and mortality.1.5.55 Peripheral hypersensitivity to subthreshold stimuli persists after resolution of acute experimental disc-herniation neuropathy.1.5.56 Radiation induced lumbar spinal osteonecrosis: case report and literature review.1.5.57 Comparative outcomes and cost-utility following surgical treatment of focal lumbar spinal stenosis compared with osteoarthritis of the hip or knee: Part 2 — estimated lifetime incremental cost-utility ratios.1.5.58 A predictive model of progression for adolescent idiopathic scoliosis based on 3D spine parameters at first visit.1.5.59 Development of a clinical prediction model for surgical decision making in patients with degenerative lumbar spine disease.2.5.60 Canadian spine surgery fellowship education: evaluating opportunity in developing a nationally based training curriculum.2.5.61 Pedicle subtraction osteotomy for severe proximal thoracic junctional kyphosis.2.5.62 A comparison of spine surgery referrals triaged through a multidisciplinary care pathway versus conventional referrals.2.5.63 Results and complications of posterior-based 3 column osteotomies in patients with previously fused spinal deformities.2.5.64 Orthopaedic Surgical AdVerse Event Severity (Ortho-SAVES) system: identifying opportunities for improved patient safety and resource utilization.2.5.65 Spontaneous spinal extra-axial haematomas — surgical experience in Otago and Southland 2011–2013.2.5.66 Obesity and spinal epidural lipomatosis in cauda equina syndrome.2.5.67 Factors affecting restoration of lumbar lordosis in adult degenerative scoliosis patients treated with lateral trans-psoas interbody fusion.3.6.68 Systematic review of complications in spinal surgery: a comparison of retrospective and prospective study design.3.6.69 Postsurgical rehabilitation patients have similar fear avoidance behaviour levels as those in nonoperative care.3.6.70 Outcomes of surgical treatment of adolescent spondyloptosis: a case series.3.6.71 Surgical success in primary versus revision thoracolumbar spine surgery.3.6.72 The effect of smoking on subjective patient outcomes in thoracolumbar surgery.3.6.73 Modelling patient recovery to predict outcomes following elective thoracolumbar surgery for degenerative pathologies.3.6.74 Outcomes from trans-psoas versus open approaches in the treatment of adult degenerative scoliosis.3.6.75 Lumbar spinal stenosis and presurgical assessment: the impact of walking induced strain on a performance-based outcome measure. Can J Surg 2014. [DOI: 10.1503/cjs.005614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Gorapalli D, Seth A, Vournakis J, Whyne C, Akens M, Zhang A, Demcheva M, Qamirani E, Yee A. Evaluation of a novel poly N-acetyl glucosamine (pGlcNAc) hydrogel for treatment of the degenerating intervertebral disc. Life Sci 2012; 91:1328-35. [DOI: 10.1016/j.lfs.2012.10.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2012] [Revised: 09/27/2012] [Accepted: 10/11/2012] [Indexed: 01/07/2023]
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Pakdel A, Robert N, Fialkov J, Maloul A, Whyne C. Generalized method for computation of true thickness and x-ray intensity information in highly blurred sub-millimeter bone features in clinical CT images. Phys Med Biol 2012; 57:8099-116. [DOI: 10.1088/0031-9155/57/23/8099] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Fandiño M, Macdonald K, Singh D, Whyne C, Witterick I. Determining the best graft-sealant combination for skull base repair using a soft tissue in vitro porcine model. Int Forum Allergy Rhinol 2012; 3:212-6. [PMID: 23109470 DOI: 10.1002/alr.21085] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2012] [Revised: 06/07/2012] [Accepted: 06/26/2012] [Indexed: 11/08/2022]
Abstract
BACKGROUND The purpose of this work was to compare the absolute breaking strength of various soft tissue skull base (SB) repairs in an in vitro porcine model. METHODS A burst pressure (BP) testing system was designed using an axial loading force to create increasing hydraulic pressure. Defects measuring 0.5 × 0.5 cm were created in fascia lata samples. Defects were repaired using various grafts (pericranium and 2 different dural substitutes, Alloderm(®) and Durasis(®)) measuring 1.0 × 1.0 cm to cover the deficient area. Grafts were further reinforced onto the fascia background with either fibrin glue (Tisseel(®)) or hydrogel sealant (DuraSeal™). Each combination of graft and sealant was conducted 6 times and tested 24 hours after the repair. RESULTS The mean BP (±standard deviation [SD]) were as follows: DuraSeal™-Alloderm, 12.5 ± 5.8 mmHg; DuraSeal™-Durasis, 21.8 ± 20.7 mmHg; DuraSeal™-pericranium, 44.7 ± 30.1 mmHg; Tisseel-Alloderm, 30.6 ± 26.3 mmHg; Tisseel-Durasis, 15.8 ± 18.6 mmHg; and Tisseel-pericranium, 95.5 ± 86 mmHg. One-way analysis of variance showed that the strongest type of repair was Tisseel-pericranium when adjusting for the others (p < 0.0001). The difference in mean BP of repair with DuraSeal™ vs Tisseel(®) was not statistically significant (p = 0.22). Comparing sealants, the use of Alloderm(®) or Durasis(®) decreased the strength of the repair in comparison to pericranium (p < 0.0001). Bonferroni analysis showed a significant difference between pericranium and Alloderm(®) (p < 0.05) and between pericranium and Durasis(®) (p < 0.05) but not between Alloderm(®) and Durasis(®) (p > 0.05). CONCLUSION In this model, the strongest type of repair (pressure 6 times higher than normal intracranial pressure) was the combination of Tisseel(®)-pericranium. Our data will help guide surgeons who repair SB defects to choose the best graft and sealant.
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Affiliation(s)
- Marcela Fandiño
- Otolaryngology-Head and Neck Surgery, Mount Sinai Hospital, Toronto, Ontario, Canada.
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