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Diestro JDB, Adeeb N, Musmar B, Salim H, Aslan A, Cancelliere NM, McLellan RM, Algin O, Ghozy S, Lay SV, Guenego A, Renieri L, Carnevale J, Saliou G, Mastorakos P, El Naamani K, Shotar E, Premat K, Möhlenbruch M, Kral M, Bernstock JD, Doron O, Chung C, Salem MM, Lylyk I, Foreman PM, Vachhani JA, Shaikh H, Župančić V, Hafeez MU, Catapano J, Waqas M, Ibrahim MK, Mohammed MA, Imamoglu C, Bayrak A, Rabinov JD, Ren Y, Schirmer CM, Piano M, Kühn AL, Michelozzi C, Elens S, Starke RM, Hassan AE, Ogilvie M, Nguyen A, Jones J, Brinjikji W, Nawka MT, Psychogios M, Ulfert C, Pukenas B, Burkhardt JK, Huynh T, Martinez-Gutierrez JC, Essibayi MA, Sheth SA, Spiegel G, Tawk RG, Lubicz B, Panni P, Puri AS, Pero G, Nossek E, Raz E, Killer-Oberpfalzer M, Griessenauer CJ, Asadi H, Siddiqui A, Brook AL, Altschul D, Spears J, Marotta TR, Ducruet AF, Albuquerque FC, Regenhardt RW, Stapleton CJ, Kan P, Kalousek V, Lylyk P, Boddu S, Knopman J, Aziz-Sultan MA, Tjoumakaris SI, Jabbour PM, Clarençon F, Limbucci N, Cuellar-Saenz HH, Mendes Pereira V, Patel AB, Dmytriw AA. Association of preprocedural antiplatelet use with decreased thromboembolic complications for intracranial aneurysms undergoing intrasaccular flow disruption. J Neurosurg 2024:1-8. [PMID: 38701528 DOI: 10.3171/2024.2.jns232918] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/23/2024] [Indexed: 05/05/2024]
Abstract
OBJECTIVE This study was conducted to investigate the impact of antiplatelet administration in the periprocedural period on the occurrence of thromboembolic complications (TECs) in patients undergoing treatment using the Woven EndoBridge (WEB) device for intracranial wide-necked bifurcation aneurysms. The primary objective was to assess whether the use of antiplatelets in the pre- and postprocedural phases reduces the likelihood of developing TECs, considering various covariates. METHODS A retrospective multicenter observational study was conducted within the WorldWideWEB Consortium and comprised 38 academic centers with endovascular treatment capabilities. Univariable and multivariable logistic regression analyses were performed to determine the association between antiplatelet use and TECs, adjusting for covariates. Missing predictor data were addressed using multiple imputation. RESULTS The study comprised two cohorts: one addressing general thromboembolic events and consisting of 1412 patients, among whom 103 experienced TECs, and another focusing on symptomatic thromboembolic events and comprising 1395 patients, of whom 50 experienced symptomatic TECs. Preprocedural antiplatelet use was associated with a reduced likelihood of overall TECs (OR 0.32, 95% CI 0.19-0.53, p < 0.001) and symptomatic TECs (OR 0.49, 95% CI 0.25-0.95, p = 0.036), whereas postprocedural antiplatelet use showed no significant association with TECs. The study also revealed additional predictors of TECs, including stent use (overall: OR 4.96, 95% CI 2.38-10.3, p < 0.001; symptomatic: OR 3.24, 95% CI 1.26-8.36, p = 0.015), WEB single-layer sphere (SLS) type (overall: OR 0.18, 95% CI 0.04-0.74, p = 0.017), and posterior circulation aneurysm location (symptomatic: OR 18.43, 95% CI 1.48-230, p = 0.024). CONCLUSIONS The findings of this study suggest that the preprocedural administration of antiplatelets is associated with a reduced likelihood of TECs in patients undergoing treatment with the WEB device for wide-necked bifurcation aneurysms. However, postprocedural antiplatelet use did not show a significant impact on TEC occurrence.
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Affiliation(s)
- Jose Danilo Bengzon Diestro
- 1Division of Diagnostic and Therapeutic Neuroradiology, Department of Radiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Nimer Adeeb
- 2Department of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Shreveport, Louisiana
| | - Basel Musmar
- 2Department of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Shreveport, Louisiana
| | - Hamza Salim
- 2Department of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Shreveport, Louisiana
| | - Assala Aslan
- 2Department of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Shreveport, Louisiana
| | - Nicole M Cancelliere
- 1Division of Diagnostic and Therapeutic Neuroradiology, Department of Radiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Rachel M McLellan
- 3Neuroendovascular Program, Massachusetts General Hospital and Brigham and Women's Hospital, Harvard University, Boston, Massachusetts
| | - Oktay Algin
- 4Ankara University, Medical Faculty, Department of Radiology, Ankara, Turkey
| | | | - Sovann V Lay
- 6Service de Neuroradiologie Diagnostique et Thérapeutique, Centre Hospitalier de Toulouse, Hôpital Purpan, Toulouse, France
| | - Adrien Guenego
- 7Service de Neuroradiologie Interventionnelle, Hôpital Universitaire Erasme, Bruxelles, Belgique
| | - Leonardo Renieri
- 8Interventistica Neurovascolare, Ospedale Careggi di Firenze, Florence, Italy
| | - Joseph Carnevale
- 9Neurosurgery & Interventional Neuroradiology, NewYork-Presbyterian Hospital, Weill Cornell School of Medicine, New York, New York
| | - Guillaume Saliou
- 10Service de radiodiagnostic et radiologie interventionnelle, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Panagiotis Mastorakos
- 11Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Kareem El Naamani
- 11Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Eimad Shotar
- 12Département de Neuroradiologie, Hôpital Pitié-Salpêtrière, Université Sorbonne, Paris, France
| | - Kevin Premat
- 12Département de Neuroradiologie, Hôpital Pitié-Salpêtrière, Université Sorbonne, Paris, France
| | - Markus Möhlenbruch
- 13Sektion Vaskuläre und Interventionelle Neuroradiologie, Universitätsklinikum Heidelberg, Germany
| | - Michael Kral
- 14Department of Neurosurgery, Christian Doppler University Hospital and Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Joshua D Bernstock
- 3Neuroendovascular Program, Massachusetts General Hospital and Brigham and Women's Hospital, Harvard University, Boston, Massachusetts
| | - Omer Doron
- 3Neuroendovascular Program, Massachusetts General Hospital and Brigham and Women's Hospital, Harvard University, Boston, Massachusetts
| | - Charlotte Chung
- Departments of15Radiology and
- 39Neurosurgery, NYU Langone Health Center, New York, New York
| | - Mohamed M Salem
- 16Department of Neurosurgery, University of Pennsylvania Medical Center, Philadelphia, Pennsylvania
| | - Ivan Lylyk
- 17Equipo de Neurocirugía Endovascular y Radiología Intervencionista, Clínica La Sagrada Familia, Buenos Aires, Argentina
| | - Paul M Foreman
- 18Department of Neurosurgery, Orlando Health Neuroscience and Rehabilitation Institute, Orlando, Florida
| | - Jay A Vachhani
- 18Department of Neurosurgery, Orlando Health Neuroscience and Rehabilitation Institute, Orlando, Florida
| | - Hamza Shaikh
- Departments of19Radiology and
- 40Neurosurgery, Cooper University Health Care, Cooper Medical School of Rowan University, Camden, New Jersey
| | - Vedran Župančić
- 20Department of Radiology, Subdivision of Interventional Neuroradiology, Clinical Hospital Center Sisters of Mercy, Zagreb, Croatia
| | - Muhammad U Hafeez
- 21Department of Neurosurgery, UTMB and Baylor School of Medicine, Houston, Texas
| | - Joshua Catapano
- 22Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona
| | - Muhammad Waqas
- 23Department of Neurosurgery, State University of New York at Buffalo, New York
| | - Mohamed K Ibrahim
- Departments of5Radiology and
- 38Neurosurgery, Mayo Clinic, Rochester, Minnesota
| | - Marwa A Mohammed
- Departments of5Radiology and
- 38Neurosurgery, Mayo Clinic, Rochester, Minnesota
| | - Cetin Imamoglu
- 37Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital of the Ministry of Health, Ankara, Turkey
| | - Ahmet Bayrak
- 37Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital of the Ministry of Health, Ankara, Turkey
| | - James D Rabinov
- 3Neuroendovascular Program, Massachusetts General Hospital and Brigham and Women's Hospital, Harvard University, Boston, Massachusetts
| | - Yifan Ren
- 24Department of Radiology, Interventional Radiology and Neurointerventional Services, Austin Health, Melbourne, Victoria, Australia
| | - Clemens M Schirmer
- Departments of25Neurosurgery and
- 41Radiology, Geisinger Hospital, Danville, Pennsylvania
| | - Mariangela Piano
- 26Interventistica Neurovascolare, Ospedale Niguarda Cà Granda, Milano, Italy
| | - Anna L Kühn
- 27Department of Neurointerventional Radiology, UMass Memorial Hospital, Worcester, Massachusetts
| | | | - Stéphanie Elens
- 8Interventistica Neurovascolare, Ospedale Careggi di Firenze, Florence, Italy
| | | | - Ameer E Hassan
- 30Department of Neuroscience, Valley Baptist Neuroscience Institute, Harlingen, Texas
| | - Mark Ogilvie
- Departments of31Neurosurgery and
- 42Radiology, University of Alabama at Birmingham, Alabama
| | - Anh Nguyen
- 32Department of Neuroradiology, University Hospital of Basel, Switzerland
| | - Jesse Jones
- Departments of31Neurosurgery and
- 42Radiology, University of Alabama at Birmingham, Alabama
| | - Waleed Brinjikji
- Departments of5Radiology and
- 38Neurosurgery, Mayo Clinic, Rochester, Minnesota
| | - Marie T Nawka
- 33Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marios Psychogios
- 32Department of Neuroradiology, University Hospital of Basel, Switzerland
| | - Christian Ulfert
- 13Sektion Vaskuläre und Interventionelle Neuroradiologie, Universitätsklinikum Heidelberg, Germany
| | - Bryan Pukenas
- 16Department of Neurosurgery, University of Pennsylvania Medical Center, Philadelphia, Pennsylvania
| | - Jan-Karl Burkhardt
- 16Department of Neurosurgery, University of Pennsylvania Medical Center, Philadelphia, Pennsylvania
| | - Thien Huynh
- Departments of34Radiology and
- 43Neurosurgery, Mayo Clinic, Jacksonville, Florida
| | | | - Muhammed Amir Essibayi
- 36Department of Neurological Surgery and Montefiore-Einstein Cerebrovascular Research Lab, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York; and
| | - Sunil A Sheth
- Departments of35Radiology
- 44Neurology, and
- 45Neurosurgery, University of Texas Health Science Center at Houston, Texas
| | - Gary Spiegel
- Departments of35Radiology
- 44Neurology, and
- 45Neurosurgery, University of Texas Health Science Center at Houston, Texas
| | - Rabih G Tawk
- Departments of34Radiology and
- 43Neurosurgery, Mayo Clinic, Jacksonville, Florida
| | - Boris Lubicz
- 8Interventistica Neurovascolare, Ospedale Careggi di Firenze, Florence, Italy
| | - Pietro Panni
- 28Interventistica Neurovascolare, Ospedale San Raffaele, Milano, Italy
| | - Ajit S Puri
- 27Department of Neurointerventional Radiology, UMass Memorial Hospital, Worcester, Massachusetts
| | - Guglielmo Pero
- 26Interventistica Neurovascolare, Ospedale Niguarda Cà Granda, Milano, Italy
| | - Erez Nossek
- Departments of15Radiology and
- 39Neurosurgery, NYU Langone Health Center, New York, New York
| | - Eytan Raz
- Departments of15Radiology and
- 39Neurosurgery, NYU Langone Health Center, New York, New York
| | - Monika Killer-Oberpfalzer
- 14Department of Neurosurgery, Christian Doppler University Hospital and Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Christoph J Griessenauer
- 14Department of Neurosurgery, Christian Doppler University Hospital and Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Hamed Asadi
- Departments of15Radiology and
- 39Neurosurgery, NYU Langone Health Center, New York, New York
| | - Adnan Siddiqui
- 23Department of Neurosurgery, State University of New York at Buffalo, New York
| | - Allan L Brook
- 36Department of Neurological Surgery and Montefiore-Einstein Cerebrovascular Research Lab, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York; and
| | - David Altschul
- 36Department of Neurological Surgery and Montefiore-Einstein Cerebrovascular Research Lab, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York; and
| | - Julian Spears
- 1Division of Diagnostic and Therapeutic Neuroradiology, Department of Radiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Thomas R Marotta
- 1Division of Diagnostic and Therapeutic Neuroradiology, Department of Radiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Andrew F Ducruet
- 22Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona
| | | | - Robert W Regenhardt
- 3Neuroendovascular Program, Massachusetts General Hospital and Brigham and Women's Hospital, Harvard University, Boston, Massachusetts
| | - Christopher J Stapleton
- 3Neuroendovascular Program, Massachusetts General Hospital and Brigham and Women's Hospital, Harvard University, Boston, Massachusetts
| | - Peter Kan
- 21Department of Neurosurgery, UTMB and Baylor School of Medicine, Houston, Texas
| | - Vladimir Kalousek
- 20Department of Radiology, Subdivision of Interventional Neuroradiology, Clinical Hospital Center Sisters of Mercy, Zagreb, Croatia
| | - Pedro Lylyk
- 17Equipo de Neurocirugía Endovascular y Radiología Intervencionista, Clínica La Sagrada Familia, Buenos Aires, Argentina
| | - Srikanth Boddu
- 10Service de radiodiagnostic et radiologie interventionnelle, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Jared Knopman
- 9Neurosurgery & Interventional Neuroradiology, NewYork-Presbyterian Hospital, Weill Cornell School of Medicine, New York, New York
| | - Mohammad A Aziz-Sultan
- 3Neuroendovascular Program, Massachusetts General Hospital and Brigham and Women's Hospital, Harvard University, Boston, Massachusetts
| | | | - Pascal M Jabbour
- 11Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Frédéric Clarençon
- 12Département de Neuroradiologie, Hôpital Pitié-Salpêtrière, Université Sorbonne, Paris, France
| | - Nicola Limbucci
- 9Neurosurgery & Interventional Neuroradiology, NewYork-Presbyterian Hospital, Weill Cornell School of Medicine, New York, New York
| | - Hugo H Cuellar-Saenz
- 1Division of Diagnostic and Therapeutic Neuroradiology, Department of Radiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Vitor Mendes Pereira
- 1Division of Diagnostic and Therapeutic Neuroradiology, Department of Radiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Aman B Patel
- 3Neuroendovascular Program, Massachusetts General Hospital and Brigham and Women's Hospital, Harvard University, Boston, Massachusetts
| | - Adam A Dmytriw
- 3Neuroendovascular Program, Massachusetts General Hospital and Brigham and Women's Hospital, Harvard University, Boston, Massachusetts
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Diestro JDB, Dibas M, Adeeb N, Regenhardt RW, Vranic JE, Guenego A, Lay SV, Renieri L, Balushi AA, Shotar E, Premat K, Namaani KE, Saliou G, Möhlenbruch MA, Lylyk I, Foreman PM, Vachhani JA, Župančić V, Hafeez MU, Rutledge C, Rai H, Tutino VM, Mirshahi S, Ghozy S, Harker P, Alotaibi NM, Rabinov JD, Ren Y, Schirmer CM, Goren O, Piano M, Kühn AL, Michelozzi C, Elens S, Starke RM, Hassan AE, Salehani A, Nguyen A, Jones J, Psychogios M, Spears J, Marotta T, Pereira V, Parra-Fariñas C, Bres-Bullrich M, Mayich M, Salem MM, Burkhardt JK, Jankowitz BT, Domingo RA, Huynh T, Tawk R, Ulfert C, Lubicz B, Panni P, Puri AS, Pero G, Griessenauer CJ, Asadi H, Siddiqui A, Ducruet AF, Albuquerque FC, Patel N, Kan P, Kalousek V, Lylyk P, Boddu S, Stapleton CJ, Knopman J, Jabbour P, Tjoumakaris S, Clarençon F, Limbucci N, Aziz-Sultan MA, Cuellar-Saenz HH, Cognard C, Patel AB, Dmytriw AA. Stent-assisted Woven EndoBridge device for the treatment of intracranial aneurysms: an international multicenter study. J Neurosurg 2024; 140:1071-1079. [PMID: 37862717 DOI: 10.3171/2023.8.jns235] [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: 01/02/2023] [Accepted: 08/14/2023] [Indexed: 10/22/2023]
Abstract
OBJECTIVE The Woven EndoBridge (WEB) device is an intrasaccular flow disruptor designed for wide-necked bifurcation aneurysms. These aneurysms may require the use of a concomitant stent. The objective of this study was to determine the clinical and radiological outcomes of patients undergoing stent-assisted WEB treatment. In addition, the authors also sought to determine the predictors of a concomitant stent in aneurysms treated with the WEB device. METHODS The data for this study were taken from the WorldWideWEB Consortium, an international multicenter cohort including patients treated with the WEB device. Aneurysms were classified into two groups based on treatment: stent-assisted WEB and WEB device alone. The authors compared clinical and radiological outcomes of both groups. Univariable and multivariable binary logistic regression analyses were performed to determine factors that predispose to stent use. RESULTS The study included 691 intracranial aneurysms (31 with stents and 660 without stents) treated with the WEB device. The adequate occlusion status did not differ between the two groups at the latest follow-up (83.3% vs 85.6%, p = 0.915). Patients who underwent stenting had more thromboembolic (32.3% vs 6.5%, p < 0.001) and procedural (16.1% vs 3.0%, p < 0.001) complications. Aneurysms treated with a concomitant stent had wider necks, greater heights, and lower dome-to-neck ratios. Increasing neck size was the only significant predictor for stent use. CONCLUSIONS This study demonstrates that there is no difference in the degree of aneurysm occlusion between the two groups; however, complications were more frequent in the stent group. In addition, a wider aneurysm neck predisposes to stent assistance in WEB-treated aneurysms.
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Affiliation(s)
- Jose Danilo Bengzon Diestro
- 1Department of Radiology, Division of Diagnostic and Therapeutic Neuroradiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Mahmoud Dibas
- 2Neuroradiology & Neurointervention Service, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nimer Adeeb
- 3Department of Neurosurgery and Neurointerventional Surgery, Louisiana State University, Shreveport, Louisiana
| | - Robert W Regenhardt
- 4Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
| | - Justin E Vranic
- 4Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
| | - Adrien Guenego
- 5Interventional Neuroradiology Department, Erasmus University Hospital, Brussels, Belgium
| | - Sovann V Lay
- 6Diagnostic and Therapeutic Neuroradiology Department, Toulouse Hospital Center, Purpan Hospital, Toulouse, France
| | - Leonardo Renieri
- 7Neurovascular Intervention, Careggi Hospital of Florence, Florence, Italy
| | - Ali Al Balushi
- 8Neurosurgery & Interventional Neuroradiology, NewYork-Presbyterian Hospital, Weill Cornell School of Medicine, New York, New York
| | - Eimad Shotar
- 9Department of Interventional Neuroradiology, Sorbonne University, AP-HP, Pitié Salpêtrière - Charles Foix Hospital, Paris, France
| | - Kévin Premat
- 9Department of Interventional Neuroradiology, Sorbonne University, AP-HP, Pitié Salpêtrière - Charles Foix Hospital, Paris, France
| | - Kareem El Namaani
- 10Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Guillaume Saliou
- 11Department of diagnostic Radiology and Interventional Radiology, Vaudois Hospital Center of Lausanne, Lausanne, Switzerland
| | - Markus A Möhlenbruch
- 12Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Ivan Lylyk
- 13Endovascular Neurosurgery and Interventional Radiology Team, La Sagrada Familia Clinic, Buenos Aires, Argentina
| | - Paul M Foreman
- 14Neurosurgery Department, Orlando Health Neuroscience and Rehabilitation Institute, Orlando, Florida
| | - Jay A Vachhani
- 14Neurosurgery Department, Orlando Health Neuroscience and Rehabilitation Institute, Orlando, Florida
| | - Vedran Župančić
- 15Department of Radiology, Subdivision of Interventional Neuroradiology, Clinical Hospital Center "Sisters of Mercy", Zagreb, Croatia
| | - Muhammad U Hafeez
- 16Department of Neurosurgery, UTMB and Baylor School of Medicine, Houston, Texas
| | - Caleb Rutledge
- 17Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona
| | - Hamid Rai
- 18Department of Neurosurgery, State University of New York at Buffalo, Buffalo, New York
| | - Vincent M Tutino
- 18Department of Neurosurgery, State University of New York at Buffalo, Buffalo, New York
| | - Shervin Mirshahi
- 2Neuroradiology & Neurointervention Service, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sherief Ghozy
- 19Department of Neuroradiology, Mayo Clinic, Rochester, Minnesota
| | - Pablo Harker
- 4Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
| | - Naif M Alotaibi
- 4Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
| | - James D Rabinov
- 4Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
| | - Yifan Ren
- 20Department of Radiology, Interventional Radiology and Neurointerventional Services, Austin Health, Melbourne, Australia
| | | | - Oded Goren
- 22Department of Neurosurgery, Geisinger, Danville, Pennsylvania
| | - Mariangela Piano
- 23Neuroradiology, ASST Great Metropolitan Hospital, Niguarda, Milan, Italy
| | - Anna L Kühn
- 24Department of Neurointerventional Radiology, UMass Memorial Hospital, Worcester, Massachusetts
| | | | - Stéphanie Elens
- 5Interventional Neuroradiology Department, Erasmus University Hospital, Brussels, Belgium
| | | | - Ameer E Hassan
- 27Department of Neuroscience, Valley Baptist Neuroscience Institute, Harlingen, Texas
| | - Arsalaan Salehani
- 28Department of Neurosurgery, University of Alabama at Birmingham, Alabama
| | - Anh Nguyen
- 29Department of Diagnostic and Interventional Neuroradiology, University Hospital Basel, Switzerland
| | - Jesse Jones
- 28Department of Neurosurgery, University of Alabama at Birmingham, Alabama
| | - Marios Psychogios
- 29Department of Diagnostic and Interventional Neuroradiology, University Hospital Basel, Switzerland
| | - Julian Spears
- 1Department of Radiology, Division of Diagnostic and Therapeutic Neuroradiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Thomas Marotta
- 1Department of Radiology, Division of Diagnostic and Therapeutic Neuroradiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Vitor Pereira
- 1Department of Radiology, Division of Diagnostic and Therapeutic Neuroradiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Carmen Parra-Fariñas
- 1Department of Radiology, Division of Diagnostic and Therapeutic Neuroradiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Maria Bres-Bullrich
- 30Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Michael Mayich
- 31Department of Medical Imaging, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Mohamed M Salem
- 32Department of Neurosurgery, University of Pennsylvania, Penn Medicine, Philadelphia, Pennsylvania
| | - Jan-Karl Burkhardt
- 32Department of Neurosurgery, University of Pennsylvania, Penn Medicine, Philadelphia, Pennsylvania
| | - Brian T Jankowitz
- 32Department of Neurosurgery, University of Pennsylvania, Penn Medicine, Philadelphia, Pennsylvania
| | - Ricardo A Domingo
- 33Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida
| | - Thien Huynh
- 33Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida
| | - Rabih Tawk
- 33Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida
| | - Christian Ulfert
- 12Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Boris Lubicz
- 5Interventional Neuroradiology Department, Erasmus University Hospital, Brussels, Belgium
| | - Pietro Panni
- 25Neurovascular Intervention, San Raffaele Hospital, Milan, Italy
| | - Ajit S Puri
- 24Department of Neurointerventional Radiology, UMass Memorial Hospital, Worcester, Massachusetts
| | - Guglielmo Pero
- 34Neurovascular Intervention, Niguarda Cà Granda Hospital, Milano, Italy
| | - Christoph J Griessenauer
- 35Department of Neurosurgery, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria; and
- 36Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Hamed Asadi
- 20Department of Radiology, Interventional Radiology and Neurointerventional Services, Austin Health, Melbourne, Australia
| | - Adnan Siddiqui
- 18Department of Neurosurgery, State University of New York at Buffalo, Buffalo, New York
| | - Andrew F Ducruet
- 17Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona
| | | | - Nirav Patel
- 2Neuroradiology & Neurointervention Service, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Peter Kan
- 16Department of Neurosurgery, UTMB and Baylor School of Medicine, Houston, Texas
| | - Vladimir Kalousek
- 15Department of Radiology, Subdivision of Interventional Neuroradiology, Clinical Hospital Center "Sisters of Mercy", Zagreb, Croatia
| | - Pedro Lylyk
- 13Endovascular Neurosurgery and Interventional Radiology Team, La Sagrada Familia Clinic, Buenos Aires, Argentina
| | - Srikanth Boddu
- 8Neurosurgery & Interventional Neuroradiology, NewYork-Presbyterian Hospital, Weill Cornell School of Medicine, New York, New York
| | - Christopher J Stapleton
- 4Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
| | - Jared Knopman
- 8Neurosurgery & Interventional Neuroradiology, NewYork-Presbyterian Hospital, Weill Cornell School of Medicine, New York, New York
| | - Pascal Jabbour
- 10Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania
| | | | - Frédéric Clarençon
- 9Department of Interventional Neuroradiology, Sorbonne University, AP-HP, Pitié Salpêtrière - Charles Foix Hospital, Paris, France
| | - Nicola Limbucci
- 7Neurovascular Intervention, Careggi Hospital of Florence, Florence, Italy
| | - Mohammad A Aziz-Sultan
- 2Neuroradiology & Neurointervention Service, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Hugo H Cuellar-Saenz
- 3Department of Neurosurgery and Neurointerventional Surgery, Louisiana State University, Shreveport, Louisiana
| | - Christophe Cognard
- 6Diagnostic and Therapeutic Neuroradiology Department, Toulouse Hospital Center, Purpan Hospital, Toulouse, France
| | - Aman B Patel
- 4Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
| | - Adam A Dmytriw
- 2Neuroradiology & Neurointervention Service, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- 4Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
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Dmytriw AA, Salim H, Musmar B, Aslan A, Cancelliere NM, McLellan RM, Algin O, Ghozy S, Dibas M, Lay SV, Guenego A, Renieri L, Carnevale J, Saliou G, Mastorakos P, Naamani KE, Shotar E, Premat K, Möhlenbruch M, Kral M, Doron O, Chung C, Salem MM, Lylyk I, Foreman PM, Vachhani JA, Shaikh H, Župančić V, Hafeez MU, Catapano J, Waqas M, Tutino VM, Ibrahim MK, Mohammed MA, Imamoglu C, Bayrak A, Rabinov JD, Ren Y, Schirmer CM, Piano M, Kühn AL, Michelozzi C, Elens S, Starke RM, Hassan AE, Ogilvie M, Sporns P, Jones J, Brinjikji W, Nawka MT, Psychogios M, Ulfert C, Diestro JDB, Pukenas B, Burkhardt JK, Huynh T, Martinez-Gutierrez JC, Essibayi MA, Sheth SA, Spiegel G, Tawk R, Lubicz B, Panni P, Puri AS, Pero G, Nossek E, Raz E, Killer-Oberfalzer M, Griessenauer CJ, Asadi H, Siddiqui A, Brook AL, Altschul D, Ducruet AF, Albuquerque FC, Regenhardt RW, Stapleton CJ, Kan P, Kalousek V, Lylyk P, Boddu S, Knopman J, Aziz-Sultan MA, Tjoumakaris SI, Clarençon F, Limbucci N, Cuellar-Saenz HH, Jabbour PM, Pereira VM, Patel AB, Adeeb N. Dual Layer vs Single Layer Woven EndoBridge Device in the Treatment of Intracranial Aneurysms: A Propensity Score-Matched Analysis. Neurosurg Rev 2024; 47:116. [PMID: 38483647 DOI: 10.1007/s10143-024-02341-z] [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: 11/10/2023] [Revised: 02/26/2024] [Accepted: 03/03/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND The Woven EndoBridge (WEB) devices have been used for treating wide neck bifurcation aneurysms (WNBAs) with several generational enhancements to improve clinical outcomes. The original device dual-layer (WEB DL) was replaced by a single-layer (WEB SL) device in 2013. This study aimed to compare the effectiveness and safety of these devices in managing intracranial aneurysms. METHODS A multicenter cohort study was conducted, and data from 1,289 patients with intracranial aneurysms treated with either the WEB SL or WEB DL devices were retrospectively analyzed. Propensity score matching was utilized to balance the baseline characteristics between the two groups. Outcomes assessed included immediate occlusion rate, complete occlusion at last follow-up, retreatment rate, device compaction, and aneurysmal rupture. RESULTS Before propensity score matching, patients treated with the WEB SL had a significantly higher rate of complete occlusion at the last follow-up and a lower rate of retreatment. After matching, there was no significant difference in immediate occlusion rate, retreatment rate, or device compaction between the WEB SL and DL groups. However, the SL group maintained a higher rate of complete occlusion at the final follow-up. Regression analysis showed that SL was associated with higher rates of complete occlusion (OR: 0.19; CI: 0.04 to 0.8, p = 0.029) and lower rates of retreatment (OR: 0.12; CI: 0 to 4.12, p = 0.23). CONCLUSION The WEB SL and DL devices demonstrated similar performances in immediate occlusion rates and retreatment requirements for intracranial aneurysms. The SL device showed a higher rate of complete occlusion at the final follow-up.
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Affiliation(s)
- Adam A Dmytriw
- Divisions of Therapeutic Neuroradiology and Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
- Neuroendovascular Program, Massachusetts General Hospital & Brigham and Women's Hospital, Harvard University, Boston, MA, 02114, USA.
| | - Hamza Salim
- Departement of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Shreveport, LA, USA
| | - Basel Musmar
- Departement of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Shreveport, LA, USA
| | - Assala Aslan
- Departement of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Shreveport, LA, USA
| | - Nicole M Cancelliere
- Divisions of Therapeutic Neuroradiology and Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Rachel M McLellan
- Neuroendovascular Program, Massachusetts General Hospital & Brigham and Women's Hospital, Harvard University, Boston, MA, 02114, USA
| | - Oktay Algin
- Medical Faculty, Department of Radiology, Ankara University, Ankara, Turkey
| | - Sherief Ghozy
- Departments of Radiology and Neurosurgery, Mayo Clinic, Rochester, MN, USA
| | - Mahmoud Dibas
- Departement of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Shreveport, LA, USA
| | - Sovann V Lay
- Service de Neuroradiologie Diagnostique Et Thérapeutique, Centre Hospitalier de Toulouse, Hôpital Purpan, Toulouse, France
| | - Adrien Guenego
- Service de Neuroradiologie Interventionnelle, Hôpital Universitaire Erasme, Brussels, Belgique
| | - Leonardo Renieri
- Interventistica Neurovascolare, Ospedale Careggi Di Firenze, Florence, Italy
| | - Joseph Carnevale
- Neurosurgery & Interventional Neuroradiology, Weill Cornell School of Medicine, New York Presbyterian Hospital, New York, NY, USA
| | - Guillaume Saliou
- Service de Radiodiagnostic Et Radiologie Interventionnelle, Centre Hospitalier Vaudois de Lausanne, Lausanne, Switzerland
| | | | - Kareem El Naamani
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Eimad Shotar
- Department de Neuroradiologie, Hôpital Pitié-Salpêtrière. Université Sorbonne, Paris, France
| | - Kevin Premat
- Department de Neuroradiologie, Hôpital Pitié-Salpêtrière. Université Sorbonne, Paris, France
| | - Markus Möhlenbruch
- Sektion Vaskuläre Und Interventionelle Neuroradiologie, Universitätsklinikum Heidelberg, Heidelberg, Germany
| | - Michael Kral
- Department of Neurosurgery, Christian Doppler University Hospital & Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Omer Doron
- Neuroendovascular Program, Massachusetts General Hospital & Brigham and Women's Hospital, Harvard University, Boston, MA, 02114, USA
| | - Charlotte Chung
- Departments of Radiology & Neurosurgery, NYU Langone Health Center, New York, NY, USA
| | - Mohamed M Salem
- Department of Neurosurgery, University of Pennsylvania Medical Center, Pennsylvania, PA, USA
| | - Ivan Lylyk
- Equipo de Neurocirugía Endovascular y Radiología Intervencionista, Clínica La Sagrada Familia, Buenos Aires, Argentina
| | - Paul M Foreman
- Neurosurgery Department, Orlando Health Neuroscience and Rehabilitation Institute, Orlando, FL, USA
| | - Jay A Vachhani
- Neurosurgery Department, Orlando Health Neuroscience and Rehabilitation Institute, Orlando, FL, USA
| | - Hamza Shaikh
- Departments of Radiology & Neurosurgery, Cooper University Health Care, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Vedran Župančić
- Subdivision of Interventional Neuroradiology, Department of Radiology, Clinical Hospital Center 'Sisters of Mercy', Zagreb, Croatia
| | - Muhammad U Hafeez
- Department of Neurosurgery, UTMB and Baylor School of Medicine, Houston, TX, USA
| | - Joshua Catapano
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Muhammad Waqas
- Department of Neurosurgery, State University of New York at Buffalo, Buffalo, NY, USA
| | - Vincent M Tutino
- Department of Neurosurgery, State University of New York at Buffalo, Buffalo, NY, USA
| | - Mohamed K Ibrahim
- Departments of Radiology and Neurosurgery, Mayo Clinic, Rochester, MN, USA
| | - Marwa A Mohammed
- Departments of Radiology and Neurosurgery, Mayo Clinic, Rochester, MN, USA
| | - Cetin Imamoglu
- Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital of the Ministry of Health, Ankara, Turkey
| | - Ahmet Bayrak
- Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital of the Ministry of Health, Ankara, Turkey
| | - James D Rabinov
- Neuroendovascular Program, Massachusetts General Hospital & Brigham and Women's Hospital, Harvard University, Boston, MA, 02114, USA
| | - Yifan Ren
- Interventional Radiology and Neurointerventional Services, Department of Radiology, Austin Health, Melbourne, VIC, Australia
| | - Clemens M Schirmer
- Department of Neurosurgery and Radiology, Geisinger Health System, Danville, PA, USA
| | - Mariangela Piano
- Interventistica Neurovascolare, Ospedale Niguarda Cà Granda, Milan, Italy
| | - Anna L Kühn
- Department of Neurointerventional Radiology, UMass Memorial Hospital, Worcester, MA, USA
| | | | - Stéphanie Elens
- Interventistica Neurovascolare, Ospedale Careggi Di Firenze, Florence, Italy
| | - Robert M Starke
- Deparment of Neurosurgery, University of Miami, Miami, FL, USA
| | - Ameer E Hassan
- Deparment of Neuroscience, Valley Baptist Neuroscience Institute, Harlingen, TX, USA
| | - Mark Ogilvie
- Deparments of Neurosurgery and Radiology, University of Alabama, Birmingham, AL, USA
| | - Peter Sporns
- Department of Interventional Neuroradiology, Interventional Neuroradiology, University Hospital of Basel, Basel, Switzerland
| | - Jesse Jones
- Deparments of Neurosurgery and Radiology, University of Alabama, Birmingham, AL, USA
| | - Waleed Brinjikji
- Departments of Radiology and Neurosurgery, Mayo Clinic, Rochester, MN, USA
| | - Marie T Nawka
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marios Psychogios
- Department of Interventional Neuroradiology, Interventional Neuroradiology, University Hospital of Basel, Basel, Switzerland
| | - Christian Ulfert
- Sektion Vaskuläre Und Interventionelle Neuroradiologie, Universitätsklinikum Heidelberg, Heidelberg, Germany
| | - Jose Danilo Bengzon Diestro
- Divisions of Therapeutic Neuroradiology and Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Bryan Pukenas
- Department of Neurosurgery, University of Pennsylvania Medical Center, Pennsylvania, PA, USA
| | - Jan-Karl Burkhardt
- Department of Neurosurgery, University of Pennsylvania Medical Center, Pennsylvania, PA, USA
| | - Thien Huynh
- Departments of Radiology and Neurosurgery, Mayo Clinic, Jacksonville, FL, USA
| | - Juan Carlos Martinez-Gutierrez
- Departments of Radiology, Neurology, and Neurosurgery, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Muhammed Amir Essibayi
- Department of Neurological Surgery and Montefiore-Einstein Cerebrovascular Research Lab, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sunil A Sheth
- Departments of Radiology, Neurology, and Neurosurgery, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Gary Spiegel
- Departments of Radiology, Neurology, and Neurosurgery, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Rabih Tawk
- Departments of Radiology and Neurosurgery, Mayo Clinic, Jacksonville, FL, USA
| | - Boris Lubicz
- Interventistica Neurovascolare, Ospedale Careggi Di Firenze, Florence, Italy
| | - Pietro Panni
- Interventistica Neurovascolare, Ospedale San Raffaele Milano, Milan, Italy
| | - Ajit S Puri
- Department of Neurointerventional Radiology, UMass Memorial Hospital, Worcester, MA, USA
| | - Guglielmo Pero
- Interventistica Neurovascolare, Ospedale Niguarda Cà Granda, Milan, Italy
| | - Erez Nossek
- Departments of Radiology & Neurosurgery, NYU Langone Health Center, New York, NY, USA
| | - Eytan Raz
- Departments of Radiology & Neurosurgery, NYU Langone Health Center, New York, NY, USA
| | - Monika Killer-Oberfalzer
- Department of Neurosurgery, Christian Doppler University Hospital & Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Christoph J Griessenauer
- Department of Neurosurgery, Christian Doppler University Hospital & Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Hamed Asadi
- Departments of Radiology & Neurosurgery, NYU Langone Health Center, New York, NY, USA
| | - Adnan Siddiqui
- Department of Neurosurgery, State University of New York at Buffalo, Buffalo, NY, USA
| | - Allan L Brook
- Department of Neurological Surgery and Montefiore-Einstein Cerebrovascular Research Lab, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - David Altschul
- Department of Neurological Surgery and Montefiore-Einstein Cerebrovascular Research Lab, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Andrew F Ducruet
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, USA
| | | | - Robert W Regenhardt
- Neuroendovascular Program, Massachusetts General Hospital & Brigham and Women's Hospital, Harvard University, Boston, MA, 02114, USA
| | - Christopher J Stapleton
- Neuroendovascular Program, Massachusetts General Hospital & Brigham and Women's Hospital, Harvard University, Boston, MA, 02114, USA
| | - Peter Kan
- Department of Neurosurgery, UTMB and Baylor School of Medicine, Houston, TX, USA
| | - Vladimir Kalousek
- Subdivision of Interventional Neuroradiology, Department of Radiology, Clinical Hospital Center 'Sisters of Mercy', Zagreb, Croatia
| | - Pedro Lylyk
- Equipo de Neurocirugía Endovascular y Radiología Intervencionista, Clínica La Sagrada Familia, Buenos Aires, Argentina
| | - Srikanth Boddu
- Service de Radiodiagnostic Et Radiologie Interventionnelle, Centre Hospitalier Vaudois de Lausanne, Lausanne, Switzerland
| | - Jared Knopman
- Neurosurgery & Interventional Neuroradiology, Weill Cornell School of Medicine, New York Presbyterian Hospital, New York, NY, USA
| | | | | | - Frédéric Clarençon
- Department de Neuroradiologie, Hôpital Pitié-Salpêtrière. Université Sorbonne, Paris, France
| | - Nicola Limbucci
- Neurosurgery & Interventional Neuroradiology, Weill Cornell School of Medicine, New York Presbyterian Hospital, New York, NY, USA
| | - Hugo H Cuellar-Saenz
- Departement of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Shreveport, LA, USA
| | - Pascal M Jabbour
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Vitor Mendes Pereira
- Neuroendovascular Program, Massachusetts General Hospital & Brigham and Women's Hospital, Harvard University, Boston, MA, 02114, USA
| | - Aman B Patel
- Neuroendovascular Program, Massachusetts General Hospital & Brigham and Women's Hospital, Harvard University, Boston, MA, 02114, USA
| | - Nimer Adeeb
- Departement of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Shreveport, LA, USA
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Chen ZF, Zhang L, Carrington AM, Thornhill R, Miguel O, Auriat AM, Omid-Fard N, Hiremath S, Tshemeister Abitbul V, Dowlatshahi D, Demchuk A, Gladstone D, Morotti A, Casetta I, Fainardi E, Huynh T, Elkabouli M, Talbot Z, Melkus G, Aviv RI. Clinical Features, Non-Contrast CT Radiomic and Radiological Signs in Models for the Prediction of Hematoma Expansion in Intracerebral Hemorrhage. Can Assoc Radiol J 2023; 74:713-722. [PMID: 37070854 DOI: 10.1177/08465371231168383] [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] [Indexed: 04/19/2023] Open
Abstract
PURPOSE Rapid identification of hematoma expansion (HE) risk at baseline is a priority in intracerebral hemorrhage (ICH) patients and may impact clinical decision making. Predictive scores using clinical features and Non-Contract Computed Tomography (NCCT)-based features exist, however, the extent to which each feature set contributes to identification is limited. This paper aims to investigate the relative value of clinical, radiological, and radiomics features in HE prediction. METHODS Original data was retrospectively obtained from three major prospective clinical trials ["Spot Sign" Selection of Intracerebral Hemorrhage to Guide Hemostatic Therapy (SPOTLIGHT)NCT01359202; The Spot Sign for Predicting and Treating ICH Growth Study (STOP-IT)NCT00810888] Patients baseline and follow-up scans following ICH were included. Clinical, NCCT radiological, and radiomics features were extracted, and multivariate modeling was conducted on each feature set. RESULTS 317 patients from 38 sites met inclusion criteria. Warfarin use (p=0.001) and GCS score (p=0.046) were significant clinical predictors of HE. The best performing model for HE prediction included clinical, radiological, and radiomic features with an area under the curve (AUC) of 87.7%. NCCT radiological features improved upon clinical benchmark model AUC by 6.5% and a clinical & radiomic combination model by 6.4%. Addition of radiomics features improved goodness of fit of both clinical (p=0.012) and clinical & NCCT radiological (p=0.007) models, with marginal improvements on AUC. Inclusion of NCCT radiological signs was best for ruling out HE whereas the radiomic features were best for ruling in HE. CONCLUSION NCCT-based radiological and radiomics features can improve HE prediction when added to clinical features.
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Affiliation(s)
| | - Liying Zhang
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - André M Carrington
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Radiology, Radiation Oncology, and Medical Physics, University of Ottawa, Ottawa, ON, Canada
- Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada
| | - Rebecca Thornhill
- Department of Radiology, Radiation Oncology, and Medical Physics, University of Ottawa, Ottawa, ON, Canada
| | - Olivier Miguel
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Radiology, Radiation Oncology, and Medical Physics, University of Ottawa, Ottawa, ON, Canada
| | - Angela M Auriat
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Radiology, Radiation Oncology, and Medical Physics, University of Ottawa, Ottawa, ON, Canada
| | - Nima Omid-Fard
- Department of Radiology, Radiation Oncology, and Medical Physics, University of Ottawa, Ottawa, ON, Canada
| | - Shivaprakash Hiremath
- Department of Radiology, Radiation Oncology, and Medical Physics, University of Ottawa, Ottawa, ON, Canada
| | - Vered Tshemeister Abitbul
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Radiology, Radiation Oncology, and Medical Physics, University of Ottawa, Ottawa, ON, Canada
| | - Dar Dowlatshahi
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Medicine (Neurology), University of Ottawa, Ottawa, ON, Canada
| | - Andrew Demchuk
- Department of Medicine (Neurology), Foothills Medical Center, Calgary, AB, Canada
| | - David Gladstone
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Andrea Morotti
- Neurology Unit, Department of Neurological Sciences and Vision, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Ilaria Casetta
- Neurological Clinic, University of Ferrara, Ferrara, Italy
| | - Enrico Fainardi
- Neuroradiology Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Italy
| | - Thien Huynh
- Departments of Radiology and Neurosurgery, Mayo Clinic, Jacksonville, FL, USA
| | | | - Zoé Talbot
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Gerd Melkus
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Radiology, Radiation Oncology, and Medical Physics, University of Ottawa, Ottawa, ON, Canada
| | - Richard I Aviv
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Radiology, Radiation Oncology, and Medical Physics, University of Ottawa, Ottawa, ON, Canada
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5
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Callen AL, Jones LC, Timpone VM, Pattee J, Scoffings DJ, Butteriss D, Huynh T, Shen PY, Mamlouk MD. Factors Predictive of Treatment Success in CT-Guided Fibrin Occlusion of CSF-Venous Fistulas: A Multicenter Retrospective Cross-Sectional Study. AJNR Am J Neuroradiol 2023; 44:1332-1338. [PMID: 37798111 PMCID: PMC10631531 DOI: 10.3174/ajnr.a8005] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 08/27/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND AND PURPOSE CSF-to-venous fistulas contribute to spontaneous intracranial hypotension. CT-guided fibrin occlusion has been described as a minimally invasive treatment strategy; however, its reproducibility across different institutions remains unclear. This multi-institution study evaluated the clinical and radiologic outcomes of CT-guided fibrin occlusion, hypothesizing a correlation among cure rates, fibrin injectate spread, and drainage patterns. MATERIALS AND METHODS A retrospective evaluation was conducted on CT-guided fibrin glue treatment in patients with CSF-to-venous fistulas from 6 US and UK institutions from 2020 to 2023. Patient information, procedural characteristics, and injectate spread and drainage patterns were examined. Clinical improvement assessed through medical records served as the primary outcome. RESULTS Of 119 patients at a mean follow-up of 5.0 months, fibrin occlusion resulted in complete clinical improvement in 59.7%, partial improvement in 34.5%, and no improvement in 5.9% of patients. Complications were reported in 4% of cases. Significant associations were observed between clinical improvement and concordant injectate spread with the fistula drainage pattern (P = .0089) and pretreatment symptom duration (P < .001). No associations were found between clinical improvement and cyst puncture, intravascular extension, rebound headache, body mass index, age, or number of treatment attempts. CONCLUSIONS Fibrin occlusion performed across various institutions shows cure when associated with injectate spread matching the CVF drainage pattern and shorter pretreatment symptom duration, emphasizing the importance of accurate injectate placement and early intervention.
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Affiliation(s)
- Andrew L Callen
- From the Department of Radiology (A.L.C., V.M.T.), Neuroradiology Section, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Lalani Carlton Jones
- Imaging Department (L.C.J.), Guys and St Thomas's and Kings College Hospital Foundation Trusts, London, UK
| | - Vincent M Timpone
- From the Department of Radiology (A.L.C., V.M.T.), Neuroradiology Section, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jack Pattee
- Department of Biostatistics and Informatics (J.P.), Colorado School of Public Health, University of Colorado-Denver Anschutz Medical Campus, Aurora, Colorado
| | - Daniel J Scoffings
- Department of Radiology (D.J.S.), Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, UK
| | - David Butteriss
- Department of Neuroradiology (D.B.), Newcastle upon Tyne Hospitals National Health Service Foundation Trust, Newcastle upon Tyne, UK
| | - Thien Huynh
- Department of Radiology (T.H.), Division of Neuroradiology, Mayo Clinic, Jacksonville, Florida
| | - Peter Y Shen
- Department of Radiology (P.Y.S., M.D.M.), The Permanente Medical Group, Kaiser Permanente Medical Center, Santa Clara, Santa Clara, California
| | - Mark D Mamlouk
- Department of Radiology (P.Y.S., M.D.M.), The Permanente Medical Group, Kaiser Permanente Medical Center, Santa Clara, Santa Clara, California
- Department of Radiology and Biomedical Imaging (M.D.M.), University of California, San Francisco, San Francisco, California
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6
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Shourav MMI, Anisetti B, Godasi RR, Mateti N, Salem AM, Huynh T, Meschia JF, Lin MP. Association between left atrial enlargement and poor cerebral collaterals in large vessel occlusion. J Stroke Cerebrovasc Dis 2023; 32:107372. [PMID: 37738918 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107372] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/01/2023] [Accepted: 09/13/2023] [Indexed: 09/24/2023] Open
Abstract
OBJECTIVES Left atrial enlargement (LAE) is a known risk factor for atrial fibrillation, a common cause of large vessel occlusion (LVO) leading to ischemic stroke. While robust cerebral collaterals protect penumbral tissue from infarction, the effect of structural heart disease on cerebral collaterals remains uncertain. This study aims to investigate the association between LAE and cerebral collaterals in patients with acute LVO stroke. MATERIALS AND METHODS We conducted a retrospective study of consecutive patients with middle cerebral and/or internal carotid LVO who underwent endovascular thrombectomy (EVT) between 2012 to 2020. Consecutive patients with echocardiography and computed tomography angiography (CTA) of the head were included. Multivariate logistic regression analysis was performed to evaluate the relationship between LAE and poor cerebral collaterals, adjusting for demographics (age, sex, race) and vascular risk factors (hypertension, diabetes and smoking). RESULTS The study included 235 patients with mean age of 69±15 years and an initial mean National Institutes of Health Stroke Scale score of 18. Of these, 89 (37.9 %) had LAE, and 105 (44.7 %) had poor collaterals. Patients with LAE were more likely to have poor collaterals compared to those without LAE (58.4 % vs 36.3 %, P = 0.001). LAE was independently associated with higher odds of poor collaterals (odds ratio, 2.47; P = 0.001), even after adjusting for covariables (odds ratio 1.84, P = 0.048). CONCLUSIONS Our study demonstrated a significant association between LAE and poor cerebral collaterals in patients with LVO stroke undergoing EVT. Further research is warranted to explore potential shared mechanisms, such as endothelial dysfunction, underlying this heart-brain association.
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Affiliation(s)
| | - Bhrugun Anisetti
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, United States
| | - Raja R Godasi
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, United States
| | - Nihas Mateti
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, United States
| | - Amr M Salem
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, United States
| | - Thien Huynh
- Department of Radiology, Mayo Clinic, Jacksonville, Florida, United States
| | - James F Meschia
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, United States
| | - Michelle P Lin
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, United States.
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7
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Diestro JDB, Dibas M, Adeeb N, Regenhardt RW, Vranic JE, Guenego A, Lay SV, Renieri L, Al Balushi A, Shotar E, Premat K, El Naamani K, Saliou G, Möhlenbruch MA, Lylyk I, Foreman PM, Vachhani JA, Župančić V, Hafeez MU, Rutledge C, Rai H, Tutino VM, Mirshani S, Ghozy S, Harker P, Alotaibi NM, Rabinov JD, Ren Y, Schirmer CM, Goren O, Piano M, Kuhn AL, Michelozzi C, Elens S, Starke RM, Hassan A, Salehani A, Nguyen A, Jones J, Psychogios M, Spears J, Parra-Fariñas C, Bres Bullrich M, Mayich M, Salem MM, Burkhardt JK, Jankowitz BT, Domingo RA, Huynh T, Tawk R, Ulfert C, Lubicz B, Panni P, Puri AS, Pero G, Griessenauer CJ, Asadi H, Siddiqui A, Ducruet AF, Albuquerque FC, Du R, Kan P, Kalousek V, Lylyk P, Boddu SR, Stapleton CJ, Knopman J, Jabbour P, Tjoumakaris S, Clarençon F, Limbucci N, Aziz-Sultan MA, Cuellar-Saenz HH, Cognard C, Patel AB, Dmytriw AA. Intrasaccular flow disruption for ruptured aneurysms: an international multicenter study. J Neurointerv Surg 2023; 15:844-850. [PMID: 35868856 DOI: 10.1136/jnis-2022-019153] [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] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/01/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND The Woven EndoBridge (WEB) device is a novel intrasaccular flow disruptor tailored for bifurcation aneurysms. We aim to describe the degree of aneurysm occlusion at the latest follow-up, and the rate of complications of aneurysms treated with the WEB device stratified according to rupture status. METHODS Our data were taken from the WorldWideWeb Consortium, an international multicenter cohort including patients treated with the WEB device. Aneurysms were classified into two groups: ruptured and unruptured. We compared clinical and radiologic outcomes of both groups. Propensity score matching (PSM) was done to match according to age, gender, bifurcation, location, prior treatment, neck, height, dome width, daughter sac, incorporated branch, pretreatment antiplatelets, and last imaging follow-up. RESULTS The study included 676 patients with 691 intracranial aneurysms (529 unruptured and 162 ruptured) treated with the WEB device. The PSM analysis had 55 pairs. In both the unmatched (85.8% vs 84.3%, p=0.692) and matched (94.4% vs 83.3%, p=0.066) cohorts there was no significant difference in the adequate occlusion rate at the last follow-up. Likewise, there were no significant differences in both ischemic and hemorrhagic complications between the two groups. There was no documented aneurysm rebleeding after WEB device implantation. CONCLUSION There was no significant difference in both the radiologic outcomes and complications between unruptured and ruptured aneurysms. Our findings support the feasibility of treatment of ruptured aneurysms with the WEB device.
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Affiliation(s)
- Jose Danilo Bengzon Diestro
- Department of Medical Imaging, Division of Diagnostic and Therapeutic Neuroradiology, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Mahmoud Dibas
- Neuroradiology & Neurointervention Service, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Nimer Adeeb
- Department of Neurosurgery and Neurointerventional Surgery, Louisiana State University, Shreveport, Louisiana, USA
| | - Robert W Regenhardt
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Justin E Vranic
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Adrien Guenego
- Service de Neuroradiologie Interventionnelle, Hôpital Universitaire Erasme, Bruxelles, Belgique
| | - Sovann V Lay
- Service de Neuroradiologie Diagnostique et Thérapeutique, Centre Hospitalier de Toulouse, Hôpital Purpan, Toulouse, France
| | - Leonardo Renieri
- Interventistica Neurovascolare, Ospedale Careggi di Firenze, Florence, Italy
| | - Ali Al Balushi
- Neurosurgery & Interventional Neuroradiology, New York Presbyterian Hospital, Weill Cornell School of Medicine, New York, New York, USA
| | - Eimad Shotar
- Department of Interventional Neuroradiology, Sorbonne University, AP-HP, Pitié Salpêtrière - Charles Foix Hospital, Paris, France
| | - Kevin Premat
- Department of Interventional Neuroradiology, Sorbonne University, AP-HP, Pitié Salpêtrière - Charles Foix Hospital, Paris, France
| | - Kareem El Naamani
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Guillaume Saliou
- Service de radiodiagnostic et radiologie interventionnelle, Centre Hospitalier Vaudois de Lausanne, Lausanne, Switzerland
| | | | - Ivan Lylyk
- Equipo de Neurocirugía Endovascular y Radiología Intervencionista, Clínica La Sagrada Familia, Buenos Aires, Argentina
| | - Paul M Foreman
- Neurosurgery Department, Orlando Health Neuroscience and Rehabilitation Institute, Orlando, Florida, USA
| | - Jay A Vachhani
- Neurosurgery Department, Orlando Health Neuroscience and Rehabilitation Institute, Orlando, Florida, USA
| | - Vedran Župančić
- Subdivision of Interventional Neuroradiology, Department of Radiology, Clinical Hospital Center 'Sisters of Mercy', Zagreb, Croatia
| | - Muhammad U Hafeez
- Department of Neurosurgery, UTMB and Baylor School of Medicine, Houston, Texas, USA
| | - Caleb Rutledge
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona, USA
| | - Hamid Rai
- Department of Neurosurgery, State University of New York at Buffalo, Buffalo, New York, USA
| | - Vincent M Tutino
- Department of Neurosurgery, State University of New York at Buffalo, Buffalo, New York, USA
| | - Shervin Mirshani
- Neuroradiology & Neurointervention Service, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Sherief Ghozy
- Department of Neuroradiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Pablo Harker
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Naif M Alotaibi
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - James D Rabinov
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Yifan Ren
- Interventional Radiology and Neurointerventional Services, Department of Radiology, Austin Health, Melbourne, Melbourne, Victoria, Australia
| | | | - Oded Goren
- Department of Neurosurgery, Geisinger, Danville, Pennsylvania, USA
| | - Mariangela Piano
- Neuroradiology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Anna Luisa Kuhn
- Department of Neurointerventional Radiology, UMass Memorial Hospital, Worcester, Massachusetts, USA
| | | | - Stephanie Elens
- Service de Neuroradiologie Interventionnelle, Hôpital Universitaire Erasme, Bruxelles, Belgique
| | - Robert M Starke
- Deparment of Neurosurgery, University of Miami, Miami, Florida, USA
| | - Ameer Hassan
- Deparment of Neuroscience, Valley Baptist Neuroscience Institute, Harlingen, Texas, USA
| | - Arsalaan Salehani
- Deparments of Neurosurgery and Radiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Anh Nguyen
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Basel, Basel, Switzerland
| | - Jesse Jones
- Deparments of Neurosurgery and Radiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Marios Psychogios
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Basel, Basel, Switzerland
| | - Julian Spears
- Department of Medical Imaging, Division of Diagnostic and Therapeutic Neuroradiology, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
- Department of Surgery, Division of Neurosurgery, University of Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Carmen Parra-Fariñas
- Department of Medical Imaging, Division of Diagnostic and Therapeutic Neuroradiology, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Maria Bres Bullrich
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Michael Mayich
- Departments of Medical Imaging, and Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Mohamed M Salem
- Department of Neurosurgery, University of Pennsylvania, Penn Medicine, Philadelphia, Pennsylvania, USA
| | - Jan-Karl Burkhardt
- Department of Neurosurgery, University of Pennsylvania, Penn Medicine, Philadelphia, Pennsylvania, USA
| | - Brian T Jankowitz
- Department of Neurosurgery, University of Pennsylvania, Penn Medicine, Philadelphia, Pennsylvania, USA
| | - Ricardo A Domingo
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Thien Huynh
- Department of Radiology, Mayo Clinic, Jacksonville, Florida
| | - Rabih Tawk
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Christian Ulfert
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Boris Lubicz
- Service de Neuroradiologie Interventionnelle, Hôpital Universitaire Erasme, Bruxelles, Belgique
| | - Pietro Panni
- Interventistica Neurovascolare, Ospedale San Raffaele, Milano, Italy
| | - Ajit S Puri
- Department of Neurointerventional Radiology, UMass Memorial Hospital, Worcester, Massachusetts, USA
| | - Guglielmo Pero
- Interventistica Neurovascolare, Ospedale Niguarda Cà Granda, Milano, Italy
| | - Christoph J Griessenauer
- Department of Neurosurgery, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria, Salzburg, Austria
- Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Hamed Asadi
- Interventional Radiology and Neurointerventional Services, Department of Radiology, Austin Health, Melbourne, Melbourne, Victoria, Australia
| | - Adnan Siddiqui
- Department of Neurosurgery, State University of New York at Buffalo, Buffalo, New York, USA
| | - Andrew F Ducruet
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona, USA
| | - Felipe C Albuquerque
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona, USA
| | - Rose Du
- Neuroradiology & Neurointervention Service, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, Canada
| | - Peter Kan
- Department of Neurosurgery, UTMB and Baylor School of Medicine, Houston, Texas, USA
| | - Vladimir Kalousek
- Subdivision of Interventional Neuroradiology, Department of Radiology, Clinical Hospital Center 'Sisters of Mercy', Zagreb, Croatia
| | - Pedro Lylyk
- Equipo de Neurocirugía Endovascular y Radiología Intervencionista, Clínica La Sagrada Familia, Buenos Aires, Argentina
| | - Srikanth Reddy Boddu
- Neurosurgery & Interventional Neuroradiology, New York Presbyterian Hospital, Weill Cornell School of Medicine, New York, New York, USA
| | - Christopher J Stapleton
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jared Knopman
- Neurosurgery & Interventional Neuroradiology, New York Presbyterian Hospital, Weill Cornell School of Medicine, New York, New York, USA
| | - Pascal Jabbour
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | | | - Frédéric Clarençon
- Department of Interventional Neuroradiology, Hopitaux Universitaires Pitie Salpetriere-Charles Foix, Paris, France
| | - Nicola Limbucci
- Interventistica Neurovascolare, Ospedale Careggi di Firenze, Florence, Italy
| | - Mohammad A Aziz-Sultan
- Neuroradiology & Neurointervention Service, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Hugo H Cuellar-Saenz
- Department of Neurosurgery and Neurointerventional Surgery, Louisiana State University, Shreveport, Louisiana, USA
| | - Christophe Cognard
- Service de Neuroradiologie Diagnostique et Thérapeutique, Centre Hospitalier de Toulouse, Hôpital Purpan, Toulouse, France
| | - Aman B Patel
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Adam A Dmytriw
- Neuroradiology & Neurointervention Service, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Devcic Z, Rozen T, Arora M, Caserta MP, Montazeri SA, Erben YM, Sandhu SS, Huynh T, Lewis AR, Malik K, Lockwood A, Toskich B. Novel Use of Time-Resolved Magnetic Resonance Angiography to Evaluate Retrograde Lumbar Vein Flow and Epidural Venous Plexus Enhancement in Chronic Headache Patients With and Without Nutcracker Physiology. J Comput Assist Tomogr 2023; 47:284-290. [PMID: 36573322 DOI: 10.1097/rct.0000000000001403] [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: 12/28/2022]
Abstract
OBJECTIVE Compression of the left renal vein by the superior mesenteric artery, known as nutcracker phenomenon (NCP), can cause retrograde flow and congestion in communicating venous systems. It has recently been speculated that NCP can result in retrograde flow and congestion of the lumbar veins and epidural venous plexus (EVP), thereby affecting the central nervous system. This study describes the novel use of time-resolved magnetic resonance angiography (trMRA) to evaluate for retrograde left second lumbar vein (L2LV) flow and early EVP enhancement in patients with chronic daily headache (CDH) with and without NCP. METHODS A retrospective analysis was performed of 31 patients with CDH (27 females and 4 males; median age, 38 years [range, 18-63 years]) who underwent trMRA centered over the L2LV to evaluate the direction of blood flow and presence of early EVP enhancement from May 2020 to March 2022. Descriptive statistics were performed, and anatomic associations were analyzed in patients with and without retrograde L2LV flow and early EVP enhancement. The accuracy of magnetic resonance imaging findings in detecting these flow patterns was also assessed. RESULTS Patients with NCP who demonstrated narrowing of the left renal vein, a positive beak sign ( P = 0.052), decreased aortomesenteric distance ( P = 0.038), and decreased SMA angle demonstrated increased rates of retrograde L2LV flow and early EVP enhancement. A positive beak sign was 83% specific, and an aortomesenteric distance of ≤6.5 mm was 61% sensitive and 83% specific for identifying retrograde L2LV flow with early regional EVP enhancement in patients with CDH. CONCLUSIONS Retrograde L2LV flow with early EVP enhancement in CDH patients can be effectively evaluated using trMRA and was seen with greater propensity in those patients with NCP.
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Affiliation(s)
- Zlatko Devcic
- From the Division of Interventional Radiology, Department of Radiology
| | | | - Manasi Arora
- From the Division of Interventional Radiology, Department of Radiology
| | | | - S Ali Montazeri
- From the Division of Interventional Radiology, Department of Radiology
| | | | | | - Thien Huynh
- Division of Neuroradiology, Mayo Clinic, Jacksonville, FL
| | - Andrew R Lewis
- From the Division of Interventional Radiology, Department of Radiology
| | - Komal Malik
- Department of Internal Medicine, Northwestern Medicine McHenry Hospital, Chicago, IL
| | - Amy Lockwood
- Division of Body Imaging, Department of Radiology
| | - Beau Toskich
- From the Division of Interventional Radiology, Department of Radiology
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9
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Devcic Z, Rozen TD, Arora M, Caserta MP, Erben YM, Sandhu SS, Huynh T, Lewis AR, Toskich BB. Daily persistent headache with nutcracker physiology and spinal epidural venous congestion: Treatment with lumbar vein embolization. Radiol Case Rep 2022; 17:4314-4318. [PMID: 36132058 PMCID: PMC9483575 DOI: 10.1016/j.radcr.2022.08.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 08/10/2022] [Accepted: 08/14/2022] [Indexed: 11/20/2022] Open
Abstract
Nutcracker phenomenon (NCP) can cause various congestion syndromes secondary to the superior mesenteric artery (SMA) compressing the left renal vein (LRV) resulting in venous reflux. It has recently been suggested that reflux into the lumbar vein (LV) and epidural venous plexus (EVP) may cause headaches in some patients with NCP. This report illustrates an example of a patient with refractory headaches and imaging findings suggestive of NCP that underwent treatment with percutaneous LV embolization. The patient is a 60-year-old female with daily persistent headaches for 5 years that failed numerous headache preventative medications. Time-resolved magnetic resonance angiography demonstrated NCP with reflux and congestion of the LV and EVP. Catheter-based venography confirmed these findings and the patient was treated with percutaneous embolization of the LV. This case report demonstrates the use of LV embolization to prevent EVP reflux and treat daily headaches due to NCP. The patient's headache resolved the next day. She has been headache-free for 5 months post-treatment. These findings support prior data suggesting that NCP can cause retrograde LV flow, EVP congestion, and elevated cerebrospinal fluid pressures leading to daily persistent headaches. Percutaneous embolization of the LV may be a minimally invasive treatment option for refractory headaches in patients with NCP, retrograde LV flow, and EVP congestion.
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10
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Raymond J, Gentric JC, Magro E, Nico L, Bacchus E, Klink R, Cognard C, Januel AC, Sabatier JF, Iancu D, Weill A, Roy D, Bojanowski MW, Chaalala C, Barreau X, Jecko V, Papagiannaki C, Derrey S, Shotar E, Cornu P, Eker OF, Pelissou-Guyotat I, Piotin M, Aldea S, Beaujeux R, Proust F, Anxionnat R, Costalat V, Corre ML, Gauvrit JY, Morandi X, Brunel H, Roche PH, Graillon T, Chabert E, Herbreteau D, Desal H, Trystram D, Barbier C, Gaberel T, Nguyen TN, Viard G, Gevry G, Darsaut TE, _ _, _ _, Raymond J, Roy D, Weill A, Iancu D, Bojanowski MW, Chaalala C, Darsaut TE, O’Kelly CJ, Chow MMC, Findlay JM, Rempel JL, Fahed R, Lesiuk H, Drake B, Santos MD, Gentric JC, Nonent M, Ognard J, El-Aouni MC, Magro E, Seizeur R, Timsit S, Pradier O, Desal H, Boursier R, Thillays F, Roualdes V, Piotin M, Blanc R, Aldea S, Cognard C, Januel AC, Sabatier JF, Calviere L, Gauvrit JY, Raoult H, Eugene F, Bras AL, Ferre JC, Paya C, Morandi X, Lecouillard I, Nouhaud E, Ronziere T, Trystram D, Naggara O, Rodriguez-Regent C, Kerleroux B, Barbier C, Gaberel T, Emery E, Touze E, Papagiannaki C, Derrey S, Eker OF, Riva R, Pellisou-Guyotat I, Guyotat J, Berhouma M, Dumot C, Biondi A, Thines L, Bougaci N, Charbonnier G, Bracard S, Anxionnat R, Gory B, Civit T, Bernier-Chastagner V, Barreau X, Marnat G, Jecko V, Penchet G, Gimbert E, Huchet A, Herbreteau D, Boulouis G, Bibi R, Ifergan H, Janot K, Velut S, Brunel H, Roche PH, Graillon T, Peyriere H, Kaya JM, Touta A, Troude L, Boissonneau S, Clarençon F, Shotar E, Sourour N, Lenck S, Premat K, Boch AL, Cornu P, Nouet A, Costalat V, Bonafe A, Dargazanli C, Gascou G, Lefevre PH, Riquelme C, Corre ML, Beaujeux R, Pop R, Proust F, Cebula H, Ollivier I, Spatola G, Spell L, Chalumeau V, Gallas S, Ikka L, Mihalea C, Ozanne A, Caroff J, Chabert E, Mounayer C, Rouchaud A, Caire F, Ricolfi F, Thouant P, Cao C, Mourier KL, Farah W, Nguyen TN, Abdalkader M, Huynh T, Tawk RG, Carlson AP, Silva LAO, Froio NDL, Silva GS, Mont’Alverne FJA, Martins JL, Mendes GN, Miranda RR. Endovascular treatment of brain arteriovenous malformations: clinical outcomes of patients included in the registry of a pragmatic randomized trial. J Neurosurg 2022; 138:1393-1402. [PMID: 37132535 DOI: 10.3171/2022.9.jns22987] [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] [Received: 05/05/2022] [Accepted: 09/01/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE
The role of endovascular treatment in the management of patients with brain arteriovenous malformations (AVMs) remains uncertain. AVM embolization can be offered as stand-alone curative therapy or prior to surgery or stereotactic radiosurgery (SRS) (pre-embolization). The Treatment of Brain AVMs Study (TOBAS) is an all-inclusive pragmatic study that comprises two randomized trials and multiple registries.
METHODS
Results from the TOBAS curative and pre-embolization registries are reported. The primary outcome for this report is death or dependency (modified Rankin Scale [mRS] score > 2) at last follow-up. Secondary outcomes include angiographic results, perioperative serious adverse events (SAEs), and permanent treatment-related complications leading to an mRS score > 2.
RESULTS
From June 2014 to May 2021, 1010 patients were recruited in TOBAS. Embolization was chosen as the primary curative treatment for 116 patients and pre-embolization prior to surgery or SRS for 92 patients. Clinical and angiographic outcomes were available in 106 (91%) of 116 and 77 (84%) of 92 patients, respectively. In the curative embolization registry, 70% of AVMs were ruptured, and 62% were low-grade AVMs (Spetzler-Martin grade I or II), while the pre-embolization registry had 70% ruptured AVMs and 58% low-grade AVMs. The primary outcome of death or disability (mRS score > 2) occurred in 15 (14%, 95% CI 8%–22%) of the 106 patients in the curative embolization registry (4 [12%, 95% CI 5%–28%] of 32 unruptured AVMs and 11 [15%, 95% CI 8%–25%] of 74 ruptured AVMs) and 9 (12%, 95% CI 6%–21%) of the 77 patients in the pre-embolization registry (4 [17%, 95% CI 7%–37%] of 23 unruptured AVMs and 5 [9%, 95% CI 4%–20%] of 54 ruptured AVMs) at 2 years. Embolization alone was confirmed to occlude the AVM in 32 (30%, 95% CI 21%–40%) of the 106 curative attempts and in 9 (12%, 95% CI 6%–21%) of 77 patients in the pre-embolization registry. SAEs occurred in 28 of the 106 attempted curative patients (26%, 95% CI 18%–35%, including 21 new symptomatic hemorrhages [20%, 95% CI 13%–29%]). Five of the new hemorrhages were in previously unruptured AVMs (n = 32; 16%, 95% CI 5%–33%). Of the 77 pre-embolization patients, 18 had SAEs (23%, 95% CI 15%–34%), including 12 new symptomatic hemorrhages [16%, 95% CI 9%–26%]). Three of the hemorrhages were in previously unruptured AVMs (3/23; 13%, 95% CI 3%–34%).
CONCLUSIONS
Embolization as a curative treatment for brain AVMs was often incomplete. Hemorrhagic complications were frequent, even when the specified intent was pre-embolization before surgery or SRS. Because the role of endovascular treatment remains uncertain, it should preferably, when possible, be offered in the context of a randomized trial.
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Affiliation(s)
- Jean Raymond
- Department of Radiology, Service of Neuroradiology, Centre hospitalier de l’Université de Montréal (CHUM), and CHUM Research Centre, Montréal, Québec, Canada
| | | | - Elsa Magro
- Department of Neurosurgery, CHU Cavale Blanche, INSERM UMR 1101 LaTIM, Brest, France
| | - Lorena Nico
- Department of Radiology, CHU Saint-Etienne, France
| | - Emma Bacchus
- Division of Neurosurgery, Department of Surgery, University of Alberta Hospital, Mackenzie Health Sciences Centre, Edmonton, Alberta, Canada
| | - Ruby Klink
- Department of Radiology, Service of Neuroradiology, Centre hospitalier de l’Université de Montréal (CHUM), and CHUM Research Centre, Montréal, Québec, Canada
| | | | | | - Jean-François Sabatier
- Neurosurgery, Pierre-Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France
| | - Daniela Iancu
- Department of Radiology, Service of Neuroradiology, Centre hospitalier de l’Université de Montréal (CHUM), and CHUM Research Centre, Montréal, Québec, Canada
| | - Alain Weill
- Department of Radiology, Service of Neuroradiology, Centre hospitalier de l’Université de Montréal (CHUM), and CHUM Research Centre, Montréal, Québec, Canada
| | - Daniel Roy
- Department of Radiology, Service of Neuroradiology, Centre hospitalier de l’Université de Montréal (CHUM), and CHUM Research Centre, Montréal, Québec, Canada
| | - Michel W. Bojanowski
- Department of Surgery, Division of Neurosurgery, Centre hospitalier de l’Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Chiraz Chaalala
- Department of Surgery, Division of Neurosurgery, Centre hospitalier de l’Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Xavier Barreau
- Neuroradiology Department, Pellegrin Hospital Group, CHU Bordeaux, France
| | - Vincent Jecko
- Neurosurgery Department A, Pellegrin Hospital Group, CHU Bordeaux, France
| | | | - Stéphane Derrey
- Neurosurgery, Charles Nicolle Hospital, Rouen Normandy University Hospital, Rouen, France
| | | | - Philippe Cornu
- Neurosurgery, Mercy Salpetriere Hospital AP-HP, Paris, France
| | | | | | | | - Sorin Aldea
- Neurosurgery, Adolphe de Rothschild Foundation Hospital, Paris, France
| | | | - François Proust
- Neurosurgery, Strasbourg University Hospitals, Strasbourg, France
| | - René Anxionnat
- Interventional Neuroradiology Department, University of Lorraine, Laboratory IADI INSERM U1254, CHRU Nancy, France
| | | | | | | | | | - Hervé Brunel
- Departments of Interventional Neuroradiology and
| | | | | | - Emmanuel Chabert
- Interventional Neuroradiology Department, CHU Clermont-Ferrand, France
| | - Denis Herbreteau
- Interventional Neuroradiology Department, Bretonneau Hospital, Tours, France
| | - Hubert Desal
- Interventional Neuroradiology Department, CHU de Nantes, France
| | - Denis Trystram
- Interventional Neuroradiology Department, University of Paris, INSERM U1266, IPNP, GHU Paris, France
- Psychiatry and Neurosciences, Sainte-Anne Hospital, Paris, France
| | | | | | - Thanh N. Nguyen
- Departments of Radiology,
- Neurology, and
- Neurosurgery, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts; and
| | | | - Guylaine Gevry
- Department of Radiology, Service of Neuroradiology, Centre hospitalier de l’Université de Montréal (CHUM), and CHUM Research Centre, Montréal, Québec, Canada
| | - Tim E. Darsaut
- Division of Neurosurgery, Department of Surgery, University of Alberta Hospital, Mackenzie Health Sciences Centre, Edmonton, Alberta, Canada
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Darsaut TE, Magro E, Bojanowski MW, Chaalala C, Nico L, Bacchus E, Klink R, Iancu D, Weill A, Roy D, Sabatier JF, Cognard C, Januel AC, Pelissou-Guyotat I, Eker O, Roche PH, Graillon T, Brunel H, Proust F, Beaujeux R, Aldea S, Piotin M, Cornu P, Shotar E, Gaberel T, Barbier C, Corre ML, Costalat V, Jecko V, Barreau X, Morandi X, Gauvrit JY, Derrey S, Papagiannaki C, Nguyen TN, Abdalkader M, Tawk RG, Huynh T, Viard G, Gevry G, Gentric JC, Raymond J. Surgical treatment of brain arteriovenous malformations: clinical outcomes of patients included in the registry of a pragmatic randomized trial. J Neurosurg 2022; 138:891-899. [PMID: 36087316 DOI: 10.3171/2022.7.jns22813] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 07/15/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The Treatment of Brain Arteriovenous Malformations Study (TOBAS) is a pragmatic study that includes 2 randomized trials and registries of treated or conservatively managed patients. The authors report the results of the surgical registry. METHODS TOBAS patients are managed according to an algorithm that combines clinical judgment and randomized allocation. For patients considered for curative treatment, clinicians selected from surgery, endovascular therapy, or radiation therapy as the primary curative method, and whether observation was a reasonable alternative. When surgery was selected and observation was deemed unreasonable, the patient was not included in the randomized controlled trial but placed in the surgical registry. The primary outcome of the trial was mRS score > 2 at 10 years (at last follow-up for the current report). Secondary outcomes include angiographic results, perioperative serious adverse events, and permanent treatment-related complications leading to mRS score > 2. RESULTS From June 2014 to May 2021, 1010 patients were recruited at 30 TOBAS centers. Surgery was selected for 229/512 patients (44%) considered for curative treatment; 77 (34%) were included in the surgery versus observation randomized trial and 152 (66%) were placed in the surgical registry. Surgical registry patients had 124/152 (82%) ruptured and 28/152 (18%) unruptured arteriovenous malformations (AVMs), with the majority categorized as low-grade Spetzler-Martin grade I-II AVM (118/152 [78%]). Thirteen patients were excluded, leaving 139 patients for analysis. Embolization was performed prior to surgery in 78/139 (56%) patients. Surgical angiographic cure was obtained in 123/139 all-grade (89%, 95% CI 82%-93%) and 105/110 low-grade (95%, 95% CI 90%-98%) AVM patients. At the mean follow-up of 18.1 months, 16 patients (12%, 95% CI 7%-18%) had reached the primary safety outcome of mRS score > 2, including 11/16 who had a baseline mRS score ≥ 3 due to previous AVM rupture. Serious adverse events occurred in 29 patients (21%, 95% CI 15%-28%). Permanent treatment-related complications leading to mRS score > 2 occurred in 6/139 patients (4%, 95% CI 2%-9%), 5 (83%) of whom had complications due to preoperative embolization. CONCLUSIONS The surgical treatment of brain AVMs in the TOBAS registry was curative in 88% of patients. The participation of more patients, surgeons, and centers in randomized trials is needed to definitively establish the role of surgery in the treatment of unruptured brain AVMs. Clinical trial registration no.: NCT02098252 (ClinicalTrials.gov).
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Affiliation(s)
- Tim E Darsaut
- 1Division of Neurosurgery, Department of Surgery, University of Alberta Hospital, Mackenzie Health Sciences Centre, Edmonton, Alberta, Canada
| | - Elsa Magro
- 2Department of Neurosurgery, CHU Cavale Blanche, INSERM UMR 1101 LaTIM, Brest, France
| | - Michel W Bojanowski
- 3Department of Surgery, Division of Neurosurgery, University of Montreal Health Centre (CHUM), Montreal, Quebec, Canada
| | - Chiraz Chaalala
- 3Department of Surgery, Division of Neurosurgery, University of Montreal Health Centre (CHUM), Montreal, Quebec, Canada
| | - Lorena Nico
- 4Division of Interventional Neuroradiology, Department of Radiology, CHU Saint-Etienne, North Hospital, Saint-Etienne, France
| | - Emma Bacchus
- 1Division of Neurosurgery, Department of Surgery, University of Alberta Hospital, Mackenzie Health Sciences Centre, Edmonton, Alberta, Canada
| | - Ruby Klink
- 5Research Centre of the University of Montreal Hospital Centre, Interventional Neuroradiology Research Laboratory (NRI), Montreal, Quebec, Canada
| | - Daniela Iancu
- 6Department of Radiology, Service of Neuroradiology, Hospital Centre of the University of Montreal (CHUM), Montreal, Quebec, Canada
| | - Alain Weill
- 6Department of Radiology, Service of Neuroradiology, Hospital Centre of the University of Montreal (CHUM), Montreal, Quebec, Canada
| | - Daniel Roy
- 6Department of Radiology, Service of Neuroradiology, Hospital Centre of the University of Montreal (CHUM), Montreal, Quebec, Canada
| | - Jean-Francois Sabatier
- 7Department of Neurosurgery, Pierre-Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France
| | - Christophe Cognard
- 8Diagnostic and Therapeutic Neuroradiology Department, Pierre-Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France
| | - Anne-Christine Januel
- 8Diagnostic and Therapeutic Neuroradiology Department, Pierre-Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France
| | | | - Omer Eker
- 10Diagnostic and Interventional Neurological Imaging, Pierre Wertheimer Neurological Hospital, Hospices Civils de Lyon, Lyon, France
| | | | - Thomas Graillon
- 12Department of Neurosurgery, Aix Marseille University, INSERM, AP-HM, MMG, UMR1251, Marmara Institute, La Timone Hospital, Marseille, France
| | - Hervé Brunel
- 13Department of Neuroradiology, La Timone Hospital, AP-HM, Marseille, France
| | - Francois Proust
- 14Department of Neurosurgery, Strasbourg University Hospitals, Strasbourg, France
| | - Rémy Beaujeux
- 15Department of Interventional Neuroradiology, University Hospital of Strasbourg, Strasbourg, France
| | | | - Michel Piotin
- 17Interventional Radiology, Adolphe de Rothschild Foundation Hospital, Paris, France
| | | | - Eimad Shotar
- 19Neuroradiology, Mercy Salpetriere Hospital AP-HP, Paris, France
| | | | - Charlotte Barbier
- 21Vascular and Interventional Imaging, CHU Caen Normandie, Caen, France
| | | | | | - Vincent Jecko
- 24Neurosurgery Department A, Pellegrin Hospital Group, CHU Bordeaux, Bordeaux, France
| | - Xavier Barreau
- 25Diagnostic and Therapeutic Neuroradiology Department, Pellegrin Hospital Group, CHU Bordeaux, Bordeaux, France
| | | | - Jean-Yves Gauvrit
- 27Neuroradiology, Pontchaillou Hospital, Rennes University Hospital, Rennes, France
| | | | | | - Thanh N Nguyen
- Departments of30Radiology.,31Neurology, and.,32Neurosurgery, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts
| | | | | | - Thien Huynh
- 34Radiology, Mayo Clinic, Jacksonville, Florida
| | - Geraldine Viard
- 35Clinical Investigation Center, CHU Brest, Brest, France; and
| | - Guylaine Gevry
- 5Research Centre of the University of Montreal Hospital Centre, Interventional Neuroradiology Research Laboratory (NRI), Montreal, Quebec, Canada
| | - Jean-Christophe Gentric
- 36Department of Interventional Neuroradiology, Cavale Blanche Hospital, Brest University Hospital, Brest, France
| | - Jean Raymond
- 5Research Centre of the University of Montreal Hospital Centre, Interventional Neuroradiology Research Laboratory (NRI), Montreal, Quebec, Canada.,6Department of Radiology, Service of Neuroradiology, Hospital Centre of the University of Montreal (CHUM), Montreal, Quebec, Canada
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12
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Ahmed AK, Anisetti B, Huynh T, Agarwal A, Gupta V, Desai A, Singh R, Vibhute P. Clinical and imaging features of spinal extradural arachnoid cysts: a retrospective study of 50 cases. Neuroradiology 2022; 64:2409-2416. [PMID: 35970946 DOI: 10.1007/s00234-022-03042-4] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 08/11/2022] [Indexed: 10/15/2022]
Abstract
PURPOSE Spinal extradural arachnoid cysts (SEDACs) are thought to arise from leakage of CSF through a spinal dural defect. This study investigates the demographics and imaging spectrum of SEDACs at our academic institution and compares them with those reported in the literature. METHODS Fifty cases with documented MRI diagnosis of SEDAC, Nabors criteria type I meningeal cyst (MC), were identified from retrospective review of imaging records between 1999 and 2020. Patient demographics, presenting symptoms, cyst characteristics, and management outcomes were studied. Statistical analysis was performed to determine associations between maximum cyst size and presenting symptoms along with other imaging findings. RESULTS In all 50 subjects, SEDACs were solitary (single) and sporadic (non-familial). The majority were incidental (62%), located posteriorly (92%) and laterally (80%) in the thoracic and thoracolumbar regions (34%, 30%). They were associated with mild mass effect upon the thecal sac (50%) and bone remodeling (92%). Among symptomatic SEDACs, back pain and radiculopathy were the most reported (68%). Larger cysts were located caudally in the spinal canal, and were associated with greater thecal mass effect, bone remodeling, and septations. Four out of six subjects who underwent surgical management had complete or partial remission. One had cyst recurrence. CONCLUSION In this largest series of SEDACs, most were discovered incidentally, stable over time, and located in the thoracic spine dorsal to the thecal sac. When symptomatic, back pain and radiculopathy were the most common presenting symptoms. Treatment with complete surgical excision may yield the best results for symptomatic lesions.
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Affiliation(s)
- Ahmed K Ahmed
- Department of Radiology, Mayo Clinic, FL, Jacksonville, USA
| | | | - Thien Huynh
- Department of Radiology, Mayo Clinic, FL, Jacksonville, USA
| | - Amit Agarwal
- Department of Radiology, Mayo Clinic, FL, Jacksonville, USA
| | - Vivek Gupta
- Department of Radiology, Mayo Clinic, FL, Jacksonville, USA
| | - Amit Desai
- Department of Radiology, Mayo Clinic, FL, Jacksonville, USA
| | - Rahul Singh
- Department of Radiology, Mayo Clinic, FL, Jacksonville, USA
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13
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Perez AF, Fox WC, Huynh T, Abello-Vaamonde JA, Farres H, Miller DA, Tawk RG, Sandhu SJS, Meschia JF, Erben Y. Imaging Characteristics and Reintervention in Patients After Radiation Induced Carotid Artery Stenting. Ann Vasc Surg 2022; 87:369-379. [PMID: 35817386 DOI: 10.1016/j.avsg.2022.06.013] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/29/2022] [Accepted: 06/14/2022] [Indexed: 11/01/2022]
Abstract
OBJECTIVE To evaluate and describe the radiographic imaging findings in a series of patients who underwent re-intervention after radiation-induced carotid artery stenting (RICAS). METHODS Retrospective review of patients with prior RICAS and subsequent re-intervention. RESULTS We describe ten patients including eight male and two female patients with twelve re-interventions due to prior diagnosed radiation induced carotid artery stenosis (RICS) and subsequent stenting during the period 2000-2019. The rate of re-intervention was found to be 10%. The pattern of stenosis is unique to this patient population including specifically long-segment stenosis, proximal and distal to the stent location, which tends not to occur in the atherosclerotic patient population. CONCLUSION Careful surveillance after RICAS is necessary to assess for the risk and the unusual pattern of stenosis to offer re-intervention in this high-risk patient population.
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Affiliation(s)
- Ana Fuentes Perez
- Division of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL
| | | | - Thien Huynh
- Department of Radiology, Mayo Clinic, Jacksonville, FL
| | | | - Houssam Farres
- Division of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL
| | | | - Rabih G Tawk
- Department of Neurosurgery, Mayo Clinic, Jacksonville, FL
| | | | | | - Young Erben
- Division of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL.
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14
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Jabal MS, Joly O, Kallmes D, Harston G, Rabinstein A, Huynh T, Brinjikji W. Interpretable Machine Learning Modeling for Ischemic Stroke Outcome Prediction. Front Neurol 2022; 13:884693. [PMID: 35665041 PMCID: PMC9160988 DOI: 10.3389/fneur.2022.884693] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [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: 02/26/2022] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background and PurposeMechanical thrombectomy greatly improves stroke outcomes. Nonetheless, some patients fall short of full recovery despite good reperfusion. The purpose of this study was to develop machine learning (ML) models for the pre-interventional prediction of functional outcome at 3 months of thrombectomy in acute ischemic stroke (AIS), using clinical and auto-extractable radiological information consistently available upon first emergency evaluation.Materials and MethodsA two-center retrospective cohort of 293 patients with AIS who underwent thrombectomy was analyzed. ML models were developed to predict dichotomized modified Rankin score at 90 days (mRS-90) using clinical and imaging features, both separately and combined. Conventional and experimental imaging biomarkers were quantified using automated image-processing software from non-contract computed tomography (CT) and computed tomography angiography (CTA). Shapley Additive Explanation (SHAP) was applied for model interpretability and predictor importance analysis of the optimal model.ResultsMerging clinical and imaging features returned the best results for mRS-90 prediction. The best performing classifier was Extreme Gradient Boosting (XGB) with an area under the receiver operating characteristic curve (AUC) = 84% using selected features. The most important classifying features were age, baseline National Institutes of Health Stroke Scale (NIHSS), occlusion side, degree of brain atrophy [primarily represented by cortical cerebrospinal fluid (CSF) volume and lateral ventricle volume], early ischemic core [primarily represented by e-Alberta Stroke Program Early CT Score (ASPECTS)], and collateral circulation deficit volume on CTA.ConclusionMachine learning that is applied to quantifiable image features from CT and CTA alongside basic clinical characteristics constitutes a promising automated method in the pre-interventional prediction of stroke prognosis. Interpretable models allow for exploring which initial features contribute the most to post-thrombectomy outcome prediction overall and for each individual patient outcome.
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Affiliation(s)
- Mohamed Sobhi Jabal
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
- *Correspondence: Mohamed Sobhi Jabal
| | | | - David Kallmes
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - George Harston
- Brainomix Limited, Oxford, United Kingdom
- Oxford University Hospitals National Health Service Trust, Oxford, United Kingdom
| | | | - Thien Huynh
- Department of Radiology, Mayo Clinic, Jacksonville, FL, United States
| | - Waleed Brinjikji
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
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15
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De Biase G, West JL, Abode-Iyamah KO, Nottmeier EW, Deen HG, Chen SG, Huynh T, Fox WC, Bydon M, Miller D, Clendenen SR. 805 Initial Results of Precision Treatment of Postoperative Cerebrospinal Fluid Leak with Ultrasound-Guided Epidural Blood Patch. Neurosurgery 2022. [DOI: 10.1227/neu.0000000000001880_805] [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: 11/19/2022] Open
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16
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Truyen T, Vu L, Pham D, Do Q, Huynh T, Ho D, Nguyen T. Measuring the arterial phase of the right coronary artery in the patients suspected of coronary artery disease: a dual study by dynamic angiography and deep learning program. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehab849.182] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background. In the diagnosis of coronary artery disease (CAD), coronary angiography (CA) plays a crucial role in determining the location and severity of the stenosis, the anatomical aspect of a lesion. It does not accurately reflect the flow dynamics in the coronary artery. This study aimed to evaluate the coronary flow abnormalities based on our new angiographic technique and Deep Learning (DL) program in patients suspected of CAD.
Methods. We randomly selected patients who were admitted with suspected CAD. All patients underwent our new technique of CA. After the index coronary artery was filled completely with contrast, we stopped the injection. At that time, the blood in white color flew in. The flow characteristics, the shape of the tip, borders, and direction could be clearly observed above a black background of the contrast. In this study, we measured the arterial phase (AP) from the beginning when the blood moved in until the end when all contrasts in black color washed out of the distal vasculature. In the DL protocol, the U-Net model combined with Dense-Net-121 and a binary image classification model are used to predict the beginning and ending frame. To obtain the best image for the DL program, we analyzed only the flow of the right coronary artery (RCA).
Results. 81 patients were enrolled. In patients with normal coronary angiography, the mean AP was 1.86s (27.4 +/- 5.4 frames). In patients with one significant lesion, the mean AP value was 2.35s (35.3 +/- 7.7 frames). The mean difference of the AP between the two groups was 0.49s (95% confidence interval: 0.295 to 0.694). This difference is statistically significant. Our DL has the mean root square error in predicting the AP was 0.34s.
Conclusion. In patients with CAD, the prolonged arterial phase could be accurately estimated using the DL program, reflecting the slow circulation of highly oxygenated blood. It could be used as a marker of coronary perfusion in future studies.
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Affiliation(s)
- T Truyen
- Tan Tao University, Long An, Viet Nam
| | - L Vu
- Tan Tao University, Long An, Viet Nam
| | - D Pham
- Tan Tao University, Long An, Viet Nam
| | - Q Do
- Tan Tao University, Long An, Viet Nam
| | - T Huynh
- Tan Tao University, Long An, Viet Nam
| | - D Ho
- Thong Nhat Hospital, Ho Chi Minh, Viet Nam
| | - T Nguyen
- Tan Tao University, Long An, Viet Nam
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Wong A, Baig S, Chen Z, Volders D, Huynh T. Abstract 97: Development And Validation Of A Deep Machine Learning Tool For Automated Intraventricular Hemorrhage Segmentation And Volume Measurement Using 3d Convolutional Neural Networks. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.97] [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: 11/16/2022]
Abstract
Introduction:
Development of new intraventricular hemorrhage (IVH) within 24 hours of presentation or expansion of 1mL or more independently predicts poor outcome. Current methods for IVH volume estimation lack sufficient precision to detect this level of change. The best method of quantification with manual/semi-automated segmentation remain clinically impractical. We aimed to train and validate a convolutional neural network (CNN) to autonomously segment and quantify IVH volume in acute intracerebral hemorrhage (ICH) patients.
Methods:
Imaging data for training and validation was obtained from 3 international multicenter studies. IVH volumes were assessed using CNN, IVH Score (IVHS), Original Graeb Score (oGS), Modified Graeb Score (mGS), and manual segmentation using ITK-SNAP. Agreement between CNN volume and IVHS estimated volume compared to manual segmentation was assessed using intraclass correlation coefficient (ICC) and Bland-Altman charts. Accuracy of CNN segmentation was compared to manual segmentation with Dice similarity coefficient (DSC). Accuracy of hematoma expansion detection was assessed using receiver operating characteristic curves.
Results:
A total of 172 patients and 311 CT scans were included. Intra-rater reliability was significantly greater for CNN versus IVHS method (ICC 0.99 [95%CI 0.99 - 1.00] vs 0.76 [95%CI 0.66 - 0.83]). Accuracy of CNN segmentation was satisfactory (DSC 0.76 [95%CI 0.75 - 0.78]). Accuracy of hematoma expansion detection was substantially greater in CNN (AUC 0.91 [95%CI 0.85 - 0.97]) versus IVHS, oGS and mGS.
Conclusion:
Our results demonstrate that a fully automated CNN algorithm is capable of segmenting IVH volumes on multi-center data with higher intra-rater reliability and satisfactory accuracy over the current methods of IVH volume measurement tools. The algorithm has proven to be capable of detecting hematoma expansion with substantially greater accuracy over existing methods of IVH measurement.
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Affiliation(s)
| | - Saif Baig
- Nassau Univ Med Cntr, East Meadow, NY
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18
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Borg N, Cutsforth-Gregory J, Oushy S, Huynh T, Savastano LE, Cloft HJ, Lanzino G, Brinjikji W. Anatomy of Spinal Venous Drainage for the Neurointerventionalist: From Puncture Site to Intervertebral Foramen. AJNR Am J Neuroradiol 2022; 43:517-525. [PMID: 35086801 PMCID: PMC8993202 DOI: 10.3174/ajnr.a7409] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 10/20/2021] [Indexed: 11/07/2022]
Abstract
CSF-venous fistula is a relatively novel entity that is increasingly being recognized as a cause for spontaneous intracranial hypotension. Recently, our group published the first series of transvenous embolization of CSF-venous fistulas in this journal. Having now performed the procedure in 60 patients, we have garnered increasing familiarity with the anatomy and how to navigate our way through the venous system to any intervertebral foramen in the cervical, thoracic, and lumbar spine. The first part of this review summarizes the organization of spinal venous drainage as described in classic anatomy and interventional radiology texts, the same works that we studied when attempting our first cases. In the second part, we draw mostly on our own experience to provide a practical roadmap from the puncture site to the foramen. On the basis of these 2 parts, we hope this article will serve to collate the relevant anatomic knowledge and give confidence to colleagues who wish to embark on transvenous spinal procedures.
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Affiliation(s)
- N Borg
- From the Departments of Neurologic Surgery (N.B., S.O., L.E.S., G.L.)
| | | | - S Oushy
- From the Departments of Neurologic Surgery (N.B., S.O., L.E.S., G.L.)
| | - T Huynh
- Department of Neurologic Surgery (T.H.), Mayo Clinic, Jacksonville, Florida
| | - L E Savastano
- From the Departments of Neurologic Surgery (N.B., S.O., L.E.S., G.L.)
| | - H J Cloft
- Radiology (H.J.C., W.B.), Mayo Clinic, Rochester, Minnesota
| | - G Lanzino
- From the Departments of Neurologic Surgery (N.B., S.O., L.E.S., G.L.)
| | - W Brinjikji
- Radiology (H.J.C., W.B.), Mayo Clinic, Rochester, Minnesota
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Domingo RA, Tripathi S, Perez-Vega C, Martinez J, Suarez Meade P, Ramos-Fresnedo A, English SW, Huynh T, Lin MP, Fox WC, Tawk RG. Influence of Platelet Count on Procedure-Related Outcomes After Mechanical Thrombectomy for Large Vessel Occlusion: A Systematic Review and Meta-Analysis. World Neurosurg 2021; 157:187-192.e1. [PMID: 34653708 DOI: 10.1016/j.wneu.2021.10.080] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 10/04/2021] [Accepted: 10/05/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To compare outcomes between patients who underwent mechanical thrombectomy for large vessel occlusion based on platelet count: low versus normal. METHODS Three studies were included with a pooled cohort of 1125 patients. Data points were collected and pooled by meta-analysis of proportions via a logit transformation to provide a summary statistic. Both fixed-effect and random-effects models were recruited for the analysis. In this meta-analysis, risk of developing symptomatic intracranial hemorrhage, unfavorable clinical outcomes (modified Rankin Scale score >3), and mortality of patients with low platelet counts were compared with patients with normal platelet counts according to the criteria for inclusion used by each study. RESULTS Of patients, 50 (4.7%) had low platelet count, and 1075 (95.3%) had normal platelet count. Patients in the low platelet count group had a substantially higher risk of mortality (risk ratio 1.93, 95% confidence interval 1.43-2.60, P < 0.0001, I2 = 0%), but no differences in clinical outcomes (risk ratio 0.66, 95% confidence interval 0.40-1.11, P = 0.12, I2 = 0%) or symptomatic intracranial hemorrhage (risk ratio 2.03, 95% confidence interval 0.87-4.70, P = 0.10, I2 = 15%) were noted. CONCLUSIONS Patients with low platelet counts had increased mortality compared with patients with normal platelet counts following mechanical thrombectomy for large vessel occlusion.
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Affiliation(s)
- Ricardo A Domingo
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Shashwat Tripathi
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida, USA; Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Carlos Perez-Vega
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Jaime Martinez
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida, USA; Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Paola Suarez Meade
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida, USA
| | | | | | - Thien Huynh
- Department of Radiology, Mayo Clinic, Jacksonville, Florida, USA
| | - Michelle P Lin
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - W Christopher Fox
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Rabih G Tawk
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida, USA.
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20
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D'Entremont M, Couture EL, Nguyen M, Ni J, Yan A, Ko D, Abhinav S, Goodman S, Huynh T. Racial/ethnic differences in cardiovascular outcomes in a universal healthcare system: insights from the CARTaGENE cohort. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.3138] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
While prior studies have shown racial/ethnic differences in cardiovascular (CV) outcomes within private or mixed health care systems, it remains uncertain whether inequalities in cardiovascular outcomes exist between different races and ethnicities in universal health care contexts. We aimed to determine whether there are racial/ethnicity disparities in long-term CV outcomes within a single-payer universal health care system.
Methods
The CARTaGENE study is a population-based prospective cohort study with enrollment of 19,996 individuals between 40–69 years in 2009, in the province of Quebec, Canada. Participants residing in four large metropolitan areas were randomly chosen from the provincial health insurance registry by strata of age, sex, and postal codes. Follow-up was available up to 2016. For this analysis, we retained only participants without prior known CV disease. The primary composite endpoint was time to the first CV event or intervention (CV death, acute coronary syndrome, heart failure, coronary revascularization, ischemic stroke, or peripheral vascular event or revascularization). We used unadjusted and adjusted Cox proportional hazard models to evaluate the association of self-defined race/ethnicity with the primary endpoint.
Results
There were 17,802 eligible participants with a mean age of 51 years (52.5% females) with 111,312 person-years of follow-up (median follow-up of 6.6 years). South Asian (SA) participants had the highest prevalence of diabetes mellitus (29%) and hypertension (32%). After adjustment for age and sex, SA ethnicity was associated with a 95% relative increase in risk for CV events, while East/Southeast Asian (ESA) ethnicity was associated with a 42% relative decrease in risk for CV events compared to White participants. After further adjustment for socioeconomic status and CV risk factors, ESA ethnicity remained associated with a similar decreased CV risk. In contrast, the association of SA ethnicity with increased CV risk was attenuated after full adjustment for baseline characteristics (Table 1).
Conclusions
Racial/ethnic disparities in long-term CV outcomes are present in a single-payer universal healthcare setting. ESA ethnicity was associated with a lower risk of long-term CV outcomes. Future studies are needed to corroborate the reduced risk of long-term major CV events associated with ESA ethnicity. Understanding the reasons related to potential CV protection with ESA ethnicity could facilitate endeavors to reduce long-term CV outcomes in other races/ethnicities.
Funding Acknowledgement
Type of funding sources: Public hospital(s). Main funding source(s): McGill Health University Center
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Affiliation(s)
- M D'Entremont
- University Hospital of Sherbrooke (CHUS), Sherbrooke, Canada
| | - E L Couture
- University Hospital of Sherbrooke (CHUS), Sherbrooke, Canada
| | - M Nguyen
- University Hospital of Sherbrooke (CHUS), Sherbrooke, Canada
| | - J Ni
- McGill University Health Centre, Montreal, Canada
| | - A Yan
- St. Michael's Hospital, Toronto, Canada
| | - D Ko
- Sunnybrook Health Sciences Centre, Toronto, Canada
| | - S Abhinav
- McGill University Health Centre, Montreal, Canada
| | - S Goodman
- St. Michael's Hospital, Toronto, Canada
| | - T Huynh
- McGill University Health Centre, Montreal, Canada
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21
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d'Entremont M, Nguyen M, Couture E, Ni J, Yan A, Ko D, Sharma A, Goodman S, Huynh T. RACIAL/ETHNIC DIFFERENCES IN CARDIOVASCULAR OUTCOMES IN A UNIVERSAL HEALTHCARE SYSTEM: INSIGHTS FROM THE CARTAGENE COHORT. Can J Cardiol 2021. [DOI: 10.1016/j.cjca.2021.07.057] [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: 11/28/2022] Open
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22
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West JL, De Biase G, Abode-Iyamah K, Nottmeier EW, Deen HG, Chen SG, Huynh T, Fox WC, Bydon M, Miller DA, Clendenen SR. Initial Results of Precision Treatment of Postoperative Cerebrospinal Fluid Leak with Ultrasound-Guided Epidural Blood Patch. World Neurosurg 2021; 153:e204-e212. [PMID: 34175483 DOI: 10.1016/j.wneu.2021.06.090] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 04/26/2021] [Revised: 06/15/2021] [Accepted: 06/16/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Incidental durotomy, a known complication of spinal surgery, can lead to persistent cerebrospinal fluid leak and pseudomeningocele if unrecognized or incompletely repaired. We describe the use of ultrasound to visualize the site of durotomy, observe the aspiration of the pseudomeningocele, and guide the precise application of an ultrasound-guided epidural blood patch (US-EBP), under direct visualization in real time. METHODS A retrospective review was performed to determine demographic, procedural, and outcome characteristics for patients who underwent US-EBP for symptomatic postoperative pseudomeningocele. RESULTS Overall, 48 patients who underwent 49 unique episodes of care were included. The average age and body mass index were 60.5 (±12.6) years and 27.8 (±4.50) kg/m2, respectively. The most frequent index operation was laminectomy (24.5%), and 36.7% of surgeries were revision operations. Durotomy was intended or recognized in 73.4% of cases, and the median time from surgery to symptom development was 7 (interquartile range 4-16) days. A total of 61 US-EBPs were performed, with 51.0% of patients experiencing resolution of their symptoms after the first US-EBP. An additional 20.4% were successful with multiple US-EBP attempts. Complications occurred in 14.3% of cases, and the median clinical follow-up was 4.3 (interquartile range 2.4-14.5) months. CONCLUSIONS This manuscript represents the largest series in the literature describing US-EBP for the treatment of postoperative pseudomeningocele. The success rate suggests that routine utilization of US-guided EBP may allow for targeted treatment of pseudomeningoceles, without the prolonged hospitalization associated with lumbar drains or the risks of general anesthesia and impaired wound healing associated with surgical revision.
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Affiliation(s)
- James L West
- Department of Neurosurgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Gaetano De Biase
- Department of Neurosurgery, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Eric W Nottmeier
- Department of Neurosurgery, Mayo Clinic, Jacksonville, Florida, USA
| | - H Gordon Deen
- Department of Neurosurgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Selby G Chen
- Department of Neurosurgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Thien Huynh
- Division of Neuroradiology, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Mohamad Bydon
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA
| | - David A Miller
- Division of Neuroradiology, Mayo Clinic, Jacksonville, Florida, USA
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23
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Erben Y, Franco-Mesa C, Miller D, Lanzino G, Bendok BR, Li Y, Sandhu SJS, Barrett KM, Freeman WD, Lin M, Huang JF, Huynh T, Farres H, Brott TG, Hakaim AG, Brigham TJ, Todnem ND, Tawk RG, Meschia JF. Higher Risk for Reintervention in Patients after Stenting for Radiation-Induced Internal Carotid Artery Stenosis: A Single-Center Analysis and Systematic Review. Ann Vasc Surg 2020; 73:1-14. [PMID: 33373766 DOI: 10.1016/j.avsg.2020.11.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 10/11/2020] [Accepted: 11/16/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND This study aimed to review short- and long-term outcomes of all carotid artery stenting (CAS) in patients with radiation-induced (RI) internal carotid artery (ICA) stenosis compared with patients with atherosclerotic stenosis (AS). METHODS We performed a single-center, multisite case-control study of transfemoral carotid artery intervention in patients stented for RI or AS. Cases of stented RI carotid arteries were identified using a CAS database covering January 2000 to December 2019. These patients were randomly matched 2:1 with stented patients because of AS by age, sex, and year of CAS. A conditional logistic regression model was performed to estimate the odds of reintervention in the RI group. Finally, a systematic review was performed to assess the outcomes of RI stenosis treated with CAS. RESULTS There were 120 CAS in 113 patients because of RI ICA stenosis. Eighty-nine patients (78.8%) were male, and 68 patients (60.2%) were symptomatic. The reasons for radiation included most commonly treatment for diverse malignancies of the head and neck in 109 patients (96.5%). The mean radiation dose was 58.9 ± 15.6 Gy, and the time from radiation to CAS was 175.3 ± 140.4 months. Symptoms included 31 transient ischemic attacks (TIAs), 21 strokes (7 acute and 14 subacute), and 17 amaurosis fugax. The mean National Institutes of Health Stroke Scale in acute strokes was 8.7 ± 11.2. In asymptomatic patients, the indication for CAS was high-grade stenosis determined by duplex ultrasound. All CAS were successfully completed. Reinterventions were more frequent in the RI ICA stenosis cohort compared with the AS cohort (10.1% vs. 1.4%). Reinterventions occurred in 14 vessels, and causes for reintervention were restenosis in 12 followed by TIA/stroke in two vessels. On conditional regression modeling, patients with RI ICA stenosis were at a higher risk for reintervention (odds ratio = 7.1, 95% confidence interval = 2.1-32.8; P = 0.004). The mean follow-up was 33.7 ± 36.9 months, and the mortality across groups was no different (P = 0.12). CONCLUSIONS In our single-center, multisite cohort study, patients who underwent CAS for RI ICA stenosis experienced a higher rate of restenosis and a higher number of reinterventions compared with CAS for AS. Although CAS is safe and effective for this RI ICA stenosis cohort, further data are needed to reduce the risk of restenosis, and close patient surveillance is warranted. In our systematic review, CAS was considered an excellent alternative option for the treatment of patients with RI ICA stenosis. However, careful patient selection is warranted because of the increased risk of restenosis on long-term follow-up.
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Affiliation(s)
- Young Erben
- Division of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL.
| | - Camila Franco-Mesa
- Division of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL
| | - David Miller
- Department of Radiology, Mayo Clinic, Jacksonville, FL
| | | | | | - Yupeng Li
- Department of Political Science and Economics, Rowan University, Glassboro, NJ
| | | | | | - William D Freeman
- Department of Neurology, Mayo Clinic, Jacksonville, FL; Department of Neurologic Surgery, Mayo Clinic, Jacksonville, FL; Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FL
| | - Michelle Lin
- Department of Neurology, Mayo Clinic, Jacksonville, FL
| | | | - Thien Huynh
- Department of Radiology, Mayo Clinic, Jacksonville, FL
| | - Houssam Farres
- Division of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL
| | | | - Albert G Hakaim
- Division of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL
| | | | - Nathan D Todnem
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, FL
| | - Rabih G Tawk
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, FL
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Shoamanesh A, Patrice Lindsay M, Castellucci LA, Cayley A, Crowther M, de Wit K, English SW, Hoosein S, Huynh T, Kelly M, O'Kelly CJ, Teitelbaum J, Yip S, Dowlatshahi D, Smith EE, Foley N, Pikula A, Mountain A, Gubitz G, Gioia LC. Canadian stroke best practice recommendations: Management of Spontaneous Intracerebral Hemorrhage, 7th Edition Update 2020. Int J Stroke 2020; 16:321-341. [PMID: 33174815 DOI: 10.1177/1747493020968424] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Spontaneous intracerebral hemorrhage is a particularly devastating type of stroke with greater morbidity and mortality compared with ischemic stroke and can account for half or more of all deaths from stroke. The seventh update of the Canadian Stroke Best Practice Recommendations includes a new stand-alone module on intracerebral hemorrhage, with a focus on elements of care that are unique or affect persons disproportionately relative to ischemic stroke. Prior to this edition, intracerebral hemorrhage was included in the Acute Stroke Management module and was limited to its management during the first 12 h. With the growing evidence on intracerebral hemorrhage, a separate module focused on this topic across the care continuum was added. In addition to topics related to initial clinical management, neuroimaging, blood pressure management, and surgical management, new sections have been introduced addressing topics surrounding inpatient complications such as venous thromboembolism, seizure management, and increased intracranial pressure, rehabilitation as well as issues related to secondary management including lifestyle management, maintaining a normal blood pressure and antithrombotic therapy, are addressed. The Canadian Stroke Best Practice Recommendations (CSBPR) are intended to provide up-to-date evidence-based guidelines for the prevention and management of stroke and to promote optimal recovery and reintegration for people who have experienced stroke, including patients, families, and informal caregivers.
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Affiliation(s)
- Ashkan Shoamanesh
- Faculty of Medicine (Neurology), McMaster University, Hamilton, Canada.,Hamilton Health Sciences, Division of Neurology, Hamilton, Canada
| | | | - Lana A Castellucci
- Faculty of Medicine, University of Ottawa, Ottawa, Canada.,Department of Medicine, Divisions of Hematology and General Internal Medicine, The Ottawa Hospital, Ottawa, Canada
| | - Anne Cayley
- Toronto West Regional Stroke Program, University Health Network, Toronto, Canada
| | - Mark Crowther
- Department of Medicine, McMaster University, Hamilton, Canada
| | - Kerstin de Wit
- Department of Medicine (Emergency Medicine), McMaster University, Hamilton, Canada.,Hamilton Health Sciences, Divisions of Emergency Medicine and Thrombosis, Hamilton, Canada
| | - Shane W English
- Ottawa Hospital Research Institute (Clinical Epidemiology Program), Ottawa, Canada.,University of Ottawa, Department of Medicine (Critical Care) and School of Epidemiology and Public Health, Ottawa, Canada
| | - Sharon Hoosein
- Trillium Health Partners Stroke Program, Mississauga, Canada
| | - Thien Huynh
- Department of Diagnostic and Interventional Neuroradiology, Queen Elizabeth II Health Sciences Centre, Halifax, Canada.,Faculty of Medicine, Dalhousie University, Halifax, Canada
| | - Michael Kelly
- Department of Neurosurgery, University of Saskatchewan, Saskatoon, Canada
| | - Cian J O'Kelly
- Department of Neurological Surgery, University of Alberta, Edmonton, Canada
| | - Jeanne Teitelbaum
- Department of Neurology, Universite de Montreal, Montreal, Canada.,Department of Neurocritical Care, Montreal Neurological Institute MUHC, Montreal, Canada
| | - Samuel Yip
- Faculty of Medicine (Neurology), University of British Columbia, Vancouver, Canada
| | | | - Eric E Smith
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | | | - Aleksandra Pikula
- Toronto West Regional Stroke Program, University Health Network, Toronto, Canada
| | - Anita Mountain
- Division of Physical Medicine and Rehabilitation, Dalhousie University, Halifax, Canada.,Queen Elizabeth II Health Sciences Centre, Nova Scotia Rehabilitation Centre Site, Halifax, Canada
| | - Gord Gubitz
- Queen Elizabeth II Health Sciences Centre, Stroke Program, Halifax, Canada
| | - Laura C Gioia
- Department of Neurology, Universite de Montreal, Montreal, Canada.,CHUM-Centre Hospitalier de l'Université de Montréal, Stroke Program, Montréal, Canada
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Lafontaine A, Bruyninx G, Nguyen M, Montigny M, Mansour S, Barabas M, Boudreault C, Tardif J, Huynh T. IMPACT OF CARDIAC REHABILITATION ON 6-MONTH ADHERENCE TO CARDIOVASCULAR PHARMACOTHERAPY: INSIGHTS FROM THE AMI-OPTIMA2 STUDY. Can J Cardiol 2020. [DOI: 10.1016/j.cjca.2020.07.180] [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: 11/15/2022] Open
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26
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Hines E, Ponnampalam LS, Junchompoo C, Peter C, Vu L, Huynh T, Caillat M, Johnson AF, Minton G, Lewison RL, Verutes GM. Getting to the bottom of bycatch: a GIS-based toolbox to assess the risk of marine mammal bycatch. ENDANGER SPECIES RES 2020. [DOI: 10.3354/esr01037] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Marine mammal bycatch poses a particular challenge in developing countries, where data to document bycatch and its effects are often lacking. Using the Bycatch Risk Assessment (ByRA) toolkit, based on InVEST open-source models, we chose 4 field sites in Southeast Asia with varying amounts of data on marine mammals and fishing occurrence: Trat province in the eastern Gulf of Thailand, the Sibu-Tinggi Islands and Kuching Bay, Malaysia, and Kien Giang Biosphere Reserve in southwestern Vietnam. These field sites have similar species of coastal marine mammals, small-scale and commercial fisheries, and support for research from universities and/or management. In Thailand and Kuching, results showed changing patterns of fishing and Irrawaddy dolphin Orcaella brevirostris habitat use across seasons, showing how bycatch risk could change throughout the year. Risk maps for dugongs Dugong dugon in peninsular Malaysia highlighted patterns of bycatch risk concentrated around a mainland fishing pier, and revealed high risk in a northern subregion. In Vietnam, first maps of bycatch risk for the Irrawaddy dolphin showed the highest risk driven by intensive use of gillnets and trawling gear. ByRA pinpointed areas of spatial and seasonal bycatch exposure, and estimated the consequence of bycatch on local species, providing managers with critical information on where to focus bycatch mitigation and meet new global standards for US Marine Mammal Protection Act and other international regulation (e.g. Official Journal of the European Union 2019; Regulation 2019/1241) compliance. The toolbox, a transferable open-source tool, can be used to guide fisheries management, marine mammal conservation, spatial planning, and further research.
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Affiliation(s)
- E Hines
- Estuary & Ocean Science Center, and Department of Geography & Environment, San Francisco State University, Tiburon, CA 94920, USA
| | - LS Ponnampalam
- The MareCet Research Organization, 5, Jalan USJ 12/1B 47630 Subang Jaya, Selangor, Malaysia
| | - C Junchompoo
- Department of Marine and Coastal Resources, Ministry of Natural Resources and Environment, Chaeng Watthana Road, Lak Si District, Bangkok 10210, Thailand
| | - C Peter
- Universiti Malaysia Sarawak, Jalan Datuk Mohammad Musa, 94300 Kota Samarahan, Sarawak, Malaysia
| | - L Vu
- Vietnam Marine Megafauna Network, Center for Biodiversity Conservation and Endangered Species, 24, Street No 13, Lakeview City, Ho Chi Minh City, Vietnam
| | - T Huynh
- Southern Institute of Ecology, Vietnam Academy of Science and Technology, 01 Mac Dinh Chi, Ben Nghe, District 1, Ho Chi Minh City, Vietnam
- Graduate School of Natural Science and Technology, Kanazawa University, Kakumamachi, Kanazawa, Ishikawa 920-1164, Japan
| | - M Caillat
- Environmental Defense Fund, San Francisco, CA 94105, USA
| | - AF Johnson
- MarFishEco Fisheries Consultants, 67/6 Brunswick Street, Edinburgh EH7 5HT, UK
- The Lyell Centre, Institute of Life and Earth Sciences, School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh, EH14 4AS, UK
| | - G Minton
- Megaptera Marine Conservation, Laan van Rhemen van Rhemenshuizen 14, 2242 PT Wassenaar, The Netherlands
| | - RL Lewison
- Department of Biology, San Diego State University, CA 92182, USA
| | - GM Verutes
- Faculty of Political and Social Sciences, Universidade de Santiago de Compostela, Praza do Obradoiro, 0, 15705 Santiago de Compostela, A Coruña, Spain
- Campus Do*Mar, International Campus of Excellence, 36310 Vigo, Spain
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Semalulu T, Rudski L, Huynh T, Langleben D, Wang M, Fritzler MJ, Pope J, Baron M, Hudson M. An evidence-based strategy to screen for pulmonary arterial hypertension in systemic sclerosis. Semin Arthritis Rheum 2020; 50:1421-1427. [PMID: 32245697 DOI: 10.1016/j.semarthrit.2020.02.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 02/20/2020] [Accepted: 02/25/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND Clinical practice guidelines recommend screening all systemic sclerosis (SSc) patients for pulmonary arterial hypertension (PAH) with yearly echocardiograms. There is a paucity of evidence to support these guidelines. RESEARCH QUESTION Can a prediction model identify SSc patients with a very low probability of PAH and therefore not requiring annual screening echocardiogram? STUDY DESIGN AND METHODS We performed a case-control study of 925 unselected SSc subjects nested in a multi-centered, longitudinal cohort. The probability of PAH for each subject was calculated using the results of multivariate logistic regression models. A cut-off was identified for the estimated probability of PAH below which no subject developed PAH (100% sensitivity). RESULTS Study subjects were predominantly female (87.5%), with mean (SD) age 58.6 (11.7) years and disease duration of 18.2 (12.2) years. Thirty-seven subjects developed PAH during 5407.97 person-years of observation (incidence rate 0.68 per 100 person-years). Shortness of breath (SOB), diffusing capacity for carbon monoxide (DLCO) and NT-proBNP were independent predictors of PAH. All SSc-PAH cases had a probability of PAH of >1.1%. Subjects below this cut-off, none of whom had PAH, accounted for 46.2% of the study population. INTERPRETATION A simple prediction model identified subjects at very low probability of PAH who could potentially forego annual screening echocardiogram. This represents almost half of SSc subjects in a general SSc population. This study, which is the first evidence-based study for the rational use of follow-up echocardiograms in an unselected SSc cohort, requires validation. The scoring system is freely available online at http://pahtool.ladydavis.ca.
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Affiliation(s)
- T Semalulu
- Department of Medicine, McMaster University, Canada
| | - L Rudski
- Department of Medicine, McGill University, Montreal, Canada; Division of Cardiology, Jewish General Hospital, Montreal, Canada
| | - T Huynh
- Department of Medicine, McGill University, Montreal, Canada; Division of Cardiology, McGill University Health Centre, Montreal, Canada
| | - D Langleben
- Department of Medicine, McGill University, Montreal, Canada; Division of Cardiology, Jewish General Hospital, Montreal, Canada; Lady Davis Institute for Medical Research, Montreal, Canada
| | - M Wang
- Lady Davis Institute for Medical Research, Montreal, Canada
| | | | - M J Fritzler
- Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - J Pope
- St. Joseph's Healthcare, London, Canada
| | - M Baron
- Department of Medicine, McGill University, Montreal, Canada; Division of Rheumatology, Jewish General Hospital, Room A-725, 3755 Côte Sainte-Catherine Road, Montreal, Quebec H3T 1E2, Canada
| | - M Hudson
- Department of Medicine, McGill University, Montreal, Canada; Lady Davis Institute for Medical Research, Montreal, Canada; Division of Rheumatology, Jewish General Hospital, Room A-725, 3755 Côte Sainte-Catherine Road, Montreal, Quebec H3T 1E2, Canada.
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Mason A, Rioux J, Clarke SE, Costa A, Schmidt M, Keough V, Huynh T, Beyea S. Comparison of Objective Image Quality Metrics to Expert Radiologists' Scoring of Diagnostic Quality of MR Images. IEEE Trans Med Imaging 2020; 39:1064-1072. [PMID: 31535985 DOI: 10.1109/tmi.2019.2930338] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Image quality metrics (IQMs) such as root mean square error (RMSE) and structural similarity index (SSIM) are commonly used in the evaluation and optimization of accelerated magnetic resonance imaging (MRI) acquisition and reconstruction strategies. However, it is unknown how well these indices relate to a radiologist's perception of diagnostic image quality. In this study, we compare the image quality scores of five radiologists with the RMSE, SSIM, and other potentially useful IQMs: peak signal to noise ratio (PSNR) multi-scale SSIM (MSSSIM), information-weighted SSIM (IWSSIM), gradient magnitude similarity deviation (GMSD), feature similarity index (FSIM), high dynamic range visible difference predictor (HDRVDP), noise quality metric (NQM), and visual information fidelity (VIF). The comparison uses a database of MR images of the brain and abdomen that have been retrospectively degraded by noise, blurring, undersampling, motion, and wavelet compression for a total of 414 degraded images. A total of 1017 subjective scores were assigned by five radiologists. IQM performance was measured via the Spearman rank order correlation coefficient (SROCC) and statistically significant differences in the residuals of the IQM scores and radiologists' scores were tested. When considering SROCC calculated from combining scores from all radiologists across all image types, RMSE and SSIM had lower SROCC than six of the other IQMs included in the study (VIF, FSIM, NQM, GMSD, IWSSIM, and HDRVDP). In no case did SSIM have a higher SROCC or significantly smaller residuals than RMSE. These results should be considered when choosing an IQM in future imaging studies.
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Leon D, Kuban J, Sabir S, Huang S, Sheth R, Yevich S, Ahrar K, Huynh T, Pisimisis G. Abstract No. 731 Safety and effectiveness of percutaneous stenting for palliative treatment of superior vena cava syndrome. J Vasc Interv Radiol 2020. [DOI: 10.1016/j.jvir.2019.12.790] [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: 10/25/2022] Open
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Nurmsoo S, Guida A, Wong A, Aviv RI, Demchuk A, Gladstone DJ, Flaherty ML, Dowlatshahi D, Gubitz G, Phillips SJ, Weeks A, Pickett GE, Volders D, Vandorpe R, Huynh T. Abstract WP406: Training and Validation of Deepmedic Machine Learning Tool for Automated Hematoma Segmentation and Volume Analysis on CT Using Multicenter Data. Stroke 2020. [DOI: 10.1161/str.51.suppl_1.wp406] [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: 11/16/2022]
Abstract
Introduction:
We sought to train and validate an automated machine learning algorithm for ICH segmentation and volume calculation using multicenter data.
Methods:
An open-source 3D deep machine learning algorithm “DeepMedic” was trained using manually segmented ICH from 208 CT scans (129 patients) from the multicenter PREDICT study. The algorithm was then validated with 125 manually segmented CT scans (48 patients) from the SPOTLIGHT study. Manual segmentation was performed with Quantomo semi-automated software. ABC/2 was measured for all studies by two neuroradiologists. Accuracy of DeepMedic segmentation was assessed using the Dice similarity coefficient. Analysis was stratified by presence of IVH. Intraclass correlation (ICC) with 95% confidence intervals (CI) assessed agreement between manual vs. DeepMedic segmentation volume; and manual segmentation and ABC/2 volume. Bland-Altman charts were analyzed for ABC/2 and DeepMedic vs. manual segmentation volumes.
Results:
DeepMedic demonstrated high segmentation accuracy in the training cohort (median Dice 0.96; IQR 0.95 - 0.97) and in the validation cohort (median Dice 0.91; IQR 0.86 - 0.94). Dice coefficients were not significantly different between patients with IVH in the training cohort; however was significantly worse in the validation cohort in patients with IVH (Wilcoxon p<0.001). Agreement was significantly better between DeepMedic and manual segmentation (PREDICT: ICC 0.99 [95%CI 0.99 -1.00]; SPOTLIGHT: ICC 0.98 [95%CI 0.97 - 0.99]) than between ABC/2 and manual segmentation (PREDICT: ICC 0.92 [95%CI 0.89 - 0.95]; SPOTLIGHT: ICC 0.95 [95%CI 0.93-0.97]). Improved accuracy of DeepMedic was demonstrated in Bland-Altman charts (Fig 1).
Conclusion:
ICH machine learning segmentation with DeepMedic is feasible and accurate; and demonstrates greater agreement with manual segmentation compared to ABC/2 volumes. Accuracy of the machine learning algorithm however is limited in patients with IVH.
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Affiliation(s)
- Sean Nurmsoo
- Faculty of Medicine, Dalhousie Univ, Halifax, Canada
| | | | | | - Richard I Aviv
- Hurvitz Brain Sciences Rsch Program, Sunnybrook Rsch Institute and Dept of Med Imaging, Univ of Toronto, Toronto, Canada
| | - Andrew Demchuk
- Dept of Clinical Neurosciences, Cumming Sch of Medicine, Univ of Calgary, Calgary, Canada
| | - David J Gladstone
- Div of Neurology and Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Cntr and Sunnybrook Rsch Institute, Toronto, Canada
| | - Matthew L Flaherty
- Dept of Neurology and Rehabilitation Medicine, UC Gardner Neuroscience Institute, and Univ of Cincinnati, Cincinnati, OH
| | - Dar Dowlatshahi
- Ottawa Hosp Rsch Institute, and Univ of Ottawa, Ottawa, Canada
| | - Gord Gubitz
- Dept of Medicine (Neurology), Dalhousie Univ, Halifax, Canada
| | - Stephen J Phillips
- Queen Elizabeth II Health Sciences Cntr and Faculty of Medicine, Dalhousie Univ, Halifax, Canada
| | - Adrienne Weeks
- Div of Neurosurgery, Halifax Infirmary and Dalhousie Univ, Halifax, Canada
| | - Gwynedd E Pickett
- Queen Elizabeth II Health Sciences Cntr and Div of Neurosurgery, Dalhousie Univ, Halifax, NS, Canada, Halifax, Canada
| | - David Volders
- Dept of Diagnostic Radiology, Queen Elizabeth II Health Sciences Cntr, and Faculty of Medicine, Dalhousie Univ, Halifax, Canada
| | - Robert Vandorpe
- Dept of Diagnostic Radiology, QEII Health Sciences Cntr, and Faculty of Medicine, Dalhousie Univ, Halifax, Canada
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Bakhsh A, Thanassoulis G, Engert JC, Elstein E, Huynh T, Giannetti N. P253 Withdrawal of beta- blockers and ACE inhibitors after left ventricular systolic function recovery in patient with dilated cardiomyopathy randomized control trial. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehz872.081] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
The Rosenfeld Heart Fund
Introduction
recovery of left ventricle (LV) systolic function with normalization of ejection fraction (LVEF) occurs in 10 - 27% of patients with 80% maintaining recovery. However, the need for medical therapy after recovery is often questioned. Previous randomized studies of treatment withdrawal were small, not selected for non-ischemic dilated cardiomyopathy (DCM) and had a reference of improved or recovered EF to > 40% or > 10% change from LVEF at time of diagnosis. Hypothesis: In patients with DCM with recovery of the LV systolic function to an EF (>50%), medical therapy withdrawal is possible without rebound LV systolic dysfunction. Method: This was a pilot randomized control open-label trial with 2:1 randomization for withdrawal of b-blockers and ACE inhibitors in patients with recovered LV systolic function. Patients’ medication discontinuation occurred in 2 phases with a six-month interval and patients were followed for one year. The primary endpoint was LVEF reduction (< 40%). Results: There were 22 patients (10 females) enrolled. The mean age was 60 ± 12y. The mean LVEF at enrollment was 58 ± 5% with no significant difference in the mean LVEF in both groups. Sixteen patients were assigned to the withdrawal group and 6 assigned to the control group. The primary endpoint occurred in 31% of the withdrawal group compared to none of the control. The rate of 1ry outcome after withdrawal of medical therapy was 19%, p-value 0.15. The mean LVEF at 1 year for the treatment withdrawal group was 46.8 ± 12% and control 55 ± 6%, p-value 0.15. In the medication withdrawal group, the mean LVEF reduction was 10.6 ± 11% and the difference between the mean LVEF at enrollment and at 1 year was 10.6 ± 11% with 95% CI (4.6,16.49), p-value 0.0017. Conclusion: In DCM patients with recovery of LV systolic function, we observed worsening of LVEF after withdrawal of b-blockers and ACE inhibitors.
Abstract P253 Figure.
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Affiliation(s)
- A Bakhsh
- Prince Sultan Cardiac Center, Riyadh, Saudi Arabia
| | - G Thanassoulis
- McGill University Health Centre, Cardiology , Montreal, Canada
| | - J C Engert
- McGill University Health Centre, Cardiology , Montreal, Canada
| | - E Elstein
- McGill University Health Centre, Cardiology , Montreal, Canada
| | - T Huynh
- McGill University Health Centre, Cardiology , Montreal, Canada
| | - N Giannetti
- McGill University Health Centre, Cardiology , Montreal, Canada
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AlTurki A, Sharma A, Dawas A, Ni J, Giannetti N, Huynh T. PREDICTORS OF INCIDENT HEART FAILURE: INSIGHTS FROM THE CARTAGENE STUDY. Can J Cardiol 2019. [DOI: 10.1016/j.cjca.2019.07.487] [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: 10/25/2022] Open
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De Marco C, Claggett B, De Denus S, Huynh T, Desai AS, Sirois MG, Jarolim P, Solomon SD, Pitt B, Rouleau JL, Pfeffer MA, O'meara E. P6350Impact of diabetes on serum biomarkers in heart failure with preserved ejection fraction: insights from the spironolactone for heart failure with preserved ejection fraction (TOPCAT) trial. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz746.0946] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background and purpose
Diabetes mellitus (DM) is common in heart failure with preserved ejection fraction (HFpEF). Patients with DM and HF with reduced ejection fraction have higher levels of prognostic biomarkers relative to non-diabetics. We sought to examine differences in biomarkers at baseline and over time in patients with HFpEF with and without DM (non-DM).
Methods
The Americas cohort of the TOPCAT trial included 248 subjects with baseline measurements of serum biomarkers and follow-up measures 12 months later. Subjects were identified as non-DM or DM at baseline. Baseline values were compared using non-parametric tests and 12-month changes were compared via linear regression after log-transformation and adjustment for baseline biomarker value, age, gender, randomization strata, and randomized treatment.
Results
At baseline, DM patients had significantly lower eGFR and higher hsCRP, PIIINP, TIMP1, and Gal-3 levels versus non-DM patients (Table). In addition, there was a significantly larger increase over time in levels of hs-TnT, a marker of myocyte death, in DM vs. non-DM patients (p=0.016).
Baseline and 12-Month Biomarkers Baseline % Change at 12 Months Non-DM (n=132) DM (n=116) p Non-DM (n=110) DM (n=94) p eGFR (mL/min/1.73m2) 67 [57, 77] 57 [46, 73] 0.003 −14% (−17, −10) −14% (−18, −10) 0.34 hsCRP (mg/L) 2.4 [1.1, 5.6] 3.1 [1.6, 7.5] 0.046 1% (−5, 3) −11% (−27, 7) 0.54 NT-proBNP (pg/mL) 624 [338, 1235] 629 [278, 1429] 0.80 −2% (−12, 10) −5% (−21, 13) 0.48 hs-TNT (ng/mL) 5.7 [3.1, 12.4] 7.1 [3.7, 14.2] 0.17 −1% (−14, 13) 11% (−3, 27) 0.016 Soluble ST2 (ng/mL) 28 [22, 32] 28 [21, 35] 0.36 −1% (−7, 5) −4% (−9, 2) 0.60 Aldosterone (ng/L) 149 [120, 202] 142 [113, 174] 0.09 17% (9, 26) 23% (14, 33) 0.76 PICP (ng/mL) 137 [101, 169] 127 [102, 155] 0.29 5% (−5, 17) 1% (−9, 12) 0.07 CITP (ng/mL) 1.6 [1.0, 2.8] 1.6 [0.9, 3.0] 0.93 −25% (−37, 10) −23% (−36, −8) 0.87 PIIINP (ng/mL) 23 [16, 30] 28 [21, 36] <0.001 5% (−4, 15) 5% (−3, 14) 0.12 TIMP-1 (ng/mL) 188 [170, 212] 212 [183, 245] <0.001 −1% (−4, 2) −2% (−5, 2) 0.59 Galectin-3 (ng/mL) 20 [16, 23] 22 [18, 28] <0.001 6% (3, 10) 9% (4, 14) 0.52 eGFR, estimated glomerular filtration rate; hsCRP, high-sensitivity CRP; NT-proBNP, N-terminal pro-B-type natriuretic peptide; hs-TnT, high-sensitivity troponin T; PICP, pro-collagen type I carboxy-terminal peptide; CITP, collage type I; PIIINP=pro-collagen type III amino-terminal peptide; TIMP-1=tissue inhibitor of MMP-1.
Conclusions
In comparison to patients without DM, those with DM had poorer renal function and higher baseline levels of markers of myocardial stretch, myocyte death, and pro-fibrotic biomarkers. Further, hs-TnT increased over 12 months only in patients with DM.
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Affiliation(s)
- C De Marco
- Montreal Heart Institute, Department of Medicine, Montreal, Canada
| | - B Claggett
- Brigham and Womens Hospital, Cardiovascular Division, Boston, United States of America
| | - S De Denus
- Montreal Heart Institute, Department of Pharmacy, Montreal, Canada
| | - T Huynh
- McGill University Health Centre, Division of Cardiology, Montreal, Canada
| | - A S Desai
- Brigham and Womens Hospital, Cardiovascular Division, Boston, United States of America
| | - M G Sirois
- Montreal Heart Institute, Department of Medicine, Montreal, Canada
| | - P Jarolim
- Brigham and Womens Hospital, Boston, United States of America
| | - S D Solomon
- Brigham and Womens Hospital, Cardiovascular Division, Boston, United States of America
| | - B Pitt
- University of Michigan, Department of Medicine, Ann Arbor, United States of America
| | - J L Rouleau
- Montreal Heart Institute, Department of Medicine, Montreal, Canada
| | - M A Pfeffer
- Brigham and Womens Hospital, Cardiovascular Division, Boston, United States of America
| | - E O'meara
- Montreal Heart Institute, Department of Medicine, Montreal, Canada
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Kiwan C, AlTurki A, Greiss I, Kus T, Montigny M, Ayala-Paredes F, Sarrazin J, Garcia MB, Breton R, O'Hara G, Sami M, Brulotte S, Dion D, Houde G, Sandrin F, Palaic M, Chow C, Boudreault C, Essebag V, Huynh T. THE IMPACT OF KNOWLEDGE TRANSLATION AND INTEGRATED CARDIOVASCULAR CARE ON EMERGENCY ROOM VISITS OF PATIENTS WITH ATRIAL FIBRILLATION: INSIGHTS FROM THE INTEGRATED-FACILITER PROGRAM. Can J Cardiol 2019. [DOI: 10.1016/j.cjca.2019.07.423] [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: 12/01/2022] Open
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Beckford V, Fu C, Janneck J, Huynh T, Blecha J, Li X, Franc B, Vanbrocklin H. Immuno-PET imaging of human tumor necrosis factor alpha in a transgenic mouse model of rheumatoid arthritis. Nucl Med Biol 2019. [DOI: 10.1016/s0969-8051(19)30234-3] [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: 10/26/2022]
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Sultan M, Cruickshank B, Huynh T, Lamoureux E, Vidovic D, Dahn M, Giacomantonio C, Langille M, Marcato P. An in vivo genome-wide RNAi screen identifies novel mediators of paclitaxel response in breast cancer. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz095.074] [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: 11/12/2022] Open
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Burningham Z, Richter Lagha R, Leng J, Peters C, Huynh T, Patel S, Sauer BC, Josea Kramer B. CREATION OF A SUITE OF QUALITY IMPROVEMENT DASHBOARDS FOR THE GERIATRIC SCHOLARS PROGRAM. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.3031] [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: 11/13/2022] Open
Affiliation(s)
- Z Burningham
- VA Salt Lake City Healthcare System, Salt lake City, Utah, United States
| | | | - J Leng
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | - C Peters
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | - T Huynh
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | - S Patel
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA; VA Salt Lake City Healthcare System IDEAS 2.0, Salt Lake City, UT, USA
| | - B C Sauer
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA: VA Salt Lake City Healthcare System IDEAS 2.0, Salt Lake City, UT, USA
| | - B Josea Kramer
- VA Greater Los Angeles Healthcare System GRECC, Sepulveda CA USA
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Richter Lagha R, Burningham Z, Sauer BC, Leng J, Peters C, Huynh T, Patel S, Josea Kramer B. USABILITY TESTING THE GERIATRIC SCHOLARS QUALITY IMPROVEMENT DASHBOARDS. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.3034] [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: 11/15/2022] Open
Affiliation(s)
- R Richter Lagha
- Geriatric Workforce Enhancement Program at UCLA, Torrance, California, United States
| | - Z Burningham
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | - B C Sauer
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | - J Leng
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | - C Peters
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT USA
| | - T Huynh
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | - S Patel
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT USA; VA Salt Lake City Healthcare System IDEAS 2.0, Salt Lake City, UT, USA
| | - B Josea Kramer
- VA Greater Los Angeles Healthcare System GRECC, Sepulveda CA USA
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Khan A, Huynh T, Kamat S, Mannent L, Tomassen P, Van Zele T, Cardell L, Arebro J, Olze H, Foerster-Ruhrmann U, Kowalski M, Olszewska-Ziaber A, Fokkens W, van Drunen C, Mullol J, Alobid I, Hellings P, Hox V, Toskala E, Scadding G, Lund V, Bachert C. IMPACT OF CHRONIC RHINOSINUSITIS WITH NASAL POLYPOSIS ON QUALITY OF LIFE BY SINO-NASAL SURGERY HISTORY. Ann Allergy Asthma Immunol 2018. [DOI: 10.1016/j.anai.2018.09.061] [Citation(s) in RCA: 1] [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: 11/28/2022]
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Patel S, Sauer BC, Burningham Z, Chen W, Leng J, Huynh T, Richter Lagha R, Josea Kramer B. IMPACT OF THE GERIATRIC SCHOLARS PROGRAM ON PRESCRIBING PRACTICES. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.3032] [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: 11/12/2022] Open
Affiliation(s)
- S Patel
- VA Salt Lake City Healthcare System, Salt Lake City, Utah, United States
| | - B C Sauer
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | - Z Burningham
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | - W Chen
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | - J Leng
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | - T Huynh
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, Salt Lake City, UT, USA
| | | | - B Josea Kramer
- VA Greater Los Angeles Healthcare System GRECC, Los Angeles, CA USA
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AlTurki A, Proietti R, Huynh T, Essebag V. CATHETER ABLATION FOR ATRIAL FIBRILLATION IN HEART FAILURE WITH REDUCED EJECTION FRACTION: A META-ANALYSIS OF RANDOMIZED CONTROLLED TRIALS. Can J Cardiol 2018. [DOI: 10.1016/j.cjca.2018.07.339] [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: 10/28/2022] Open
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Lepage-Mireault G, Nguyen A, Gregoire J, Thanassoulis G, Tardif JC, Huynh T. P5350Potential utility of the SCORE risk estimator to predict fatal cardiovascular events in a North American population: CARTaGENE cohort. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy566.p5350] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
| | - A Nguyen
- McGill University Health Centre, medicine, Montreal, Canada
| | - J Gregoire
- Montreal Heart Institute, Montreal, Canada
| | - G Thanassoulis
- McGill University Health Centre, medicine, Montreal, Canada
| | - J C Tardif
- Montreal Heart Institute, Montreal, Canada
| | - T Huynh
- McGill University Health Centre, medicine, Montreal, Canada
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Huynh T, Vidovic D, Dean C, Lee K, Weaver I, Marcato P. PO-372 Investigating the epigenetic changes underlying combination treatment of acute promyelocytic leukaemia with all-trans retinoic acid and arsenic trioxide. ESMO Open 2018. [DOI: 10.1136/esmoopen-2018-eacr25.400] [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] Open
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Watanabe Y, Sharwood E, Goodwin B, Creech MK, Hassan HY, Netea MG, Jaeger M, Dumitrescu A, Refetoff S, Huynh T, Weiss RE. A novel mutation in the TG gene (G2322S) causing congenital hypothyroidism in a Sudanese family: a case report. BMC Med Genet 2018; 19:69. [PMID: 29720101 PMCID: PMC5932782 DOI: 10.1186/s12881-018-0588-7] [Citation(s) in RCA: 12] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 04/19/2018] [Indexed: 01/02/2023]
Abstract
Background Congenital hypothyroidism (CH) has an incidence of approximately 1:3000, but only 15% have mutations in the thyroid hormone synthesis pathways. Genetic analysis allows for the precise diagnosis. Case presentation A 3-week old girl presented with a large goiter, serum TSH > 100 mIU/L (reference range: 0.7–5.9 mIU/L); free T4 < 3.2 pmol/L (reference range: 8.7–16 pmol/L); thyroglobulin (TG) 101 μg/L. Thyroid Tc-99 m scan showed increased radiotracer uptake. One brother had CH and both affected siblings have been clinically and biochemically euthyroid on levothyroxine replacement. Another sibling had normal thyroid function. Both Sudanese parents reported non-consanguinity. Peripheral blood DNA from the proposita was subjected to whole exome sequencing (WES). WES identified a novel homozygous missense mutation of the TG gene: c.7021G > A, p.Gly2322Ser, which was subsequently confirmed by Sanger sequencing and present in one allele of both parents. DNA samples from 354 alleles in four Sudanese ethnic groups (Nilotes, Darfurians, Nuba, and Halfawien) failed to demonstrate the presence of the mutant allele. Haplotyping showed a 1.71 centiMorgans stretch of homozygosity in the TG locus suggesting that this mutation occurred identical by descent and the possibility of common ancestry of the parents. The mutation is located in the cholinesterase-like (ChEL) domain of TG. Conclusions A novel rare missense mutation in the TG gene was identified. The ChEL domain is critical for protein folding and patients with CH due to misfolded TG may present without low serum TG despite the TG gene mutations. Electronic supplementary material The online version of this article (10.1186/s12881-018-0588-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Y Watanabe
- Department of Medicine, University of Miami Miller School of Medicine, 1120 NW 14th St., Room 310F, Miami, FL, 33136, USA
| | - E Sharwood
- Department of Endocrinology and Diabetes, Lady Cilento Children's Hospital, Brisbane, QLD, Australia.,Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - B Goodwin
- Department of Endocrinology and Diabetes, Lady Cilento Children's Hospital, Brisbane, QLD, Australia.,Medical Imaging and Nuclear Medicine, Lady Cilento Children's Hospital, Brisbane, QLD, Australia
| | - M K Creech
- Department of Medicine, University of Miami Miller School of Medicine, 1120 NW 14th St., Room 310F, Miami, FL, 33136, USA
| | - H Y Hassan
- Banoon ART & Cytogenetics Centre, Bahrain Defence Force Hospital, West Riffa, Kingdom of Bahrain
| | - M G Netea
- Department of Internal Medicine, Radboud University Medical Cente, Nijmegen, The Netherlands
| | - M Jaeger
- Department of Internal Medicine, Radboud University Medical Cente, Nijmegen, The Netherlands
| | - A Dumitrescu
- Departments of Medicine, The University of Chicago, Chicago, IL, USA
| | - S Refetoff
- Departments of Medicine, Pediatrics and Genetics, The University of Chicago, Chicago, IL, USA
| | - T Huynh
- Department of Endocrinology and Diabetes, Lady Cilento Children's Hospital, Brisbane, QLD, Australia.,Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.,Department of Chemical Pathology, Pathology Queensland, Herston, Brisbane, Queensland, Australia
| | - R E Weiss
- Department of Medicine, University of Miami Miller School of Medicine, 1120 NW 14th St., Room 310F, Miami, FL, 33136, USA.
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Patel M, Kuban J, Wu C, Sheth R, Yevich S, Huang S, Sabir S, Pisimisis G, Huynh T, Wei W, Ahrar K. Abstract No. 485 Clinical and radiographic determinants of survival in cancer patients with acute pulmonary embolus. J Vasc Interv Radiol 2018. [DOI: 10.1016/j.jvir.2018.01.530] [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: 10/17/2022] Open
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Jasinge NU, Huynh T, Lawrie AC. Changes in orchid populations and endophytic fungi with rainfall and prescribed burning in Pterostylis revoluta in Victoria, Australia. Ann Bot 2018; 121:321-334. [PMID: 29300863 PMCID: PMC5808809 DOI: 10.1093/aob/mcx164] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [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: 07/04/2017] [Accepted: 10/30/2017] [Indexed: 05/20/2023]
Abstract
Background and Aims Wildfires are common in seasonally dry parts of the world with a Mediterranean climate. Prescribed burning is used to reduce fuel load and fire risk, but often without reliable information on its effects. This study investigated the effects of prescribed burns in different seasons on Pterostylis revoluta, an autumn-flowering Australian terrestrial orchid, and its orchid mycorrhizal fungi (OMFs) to find the least damaging season for a prescribed burn. Methods Burns were conducted mid-season in spring and summer 2011 and autumn and winter 2012. Orchids were enumerated and measured during their flowering season in autumn 2011-2014 and mycorrhizal fungi were isolated before and after the burns in autumn 2011, 2012 and 2014. Micro-organisms isolated were characterized. DNA was extracted from the OMFs, and the internal transcribed spacer region was amplified by PCR. Amplicons were clustered by restriction fragment length polymorphism (RFLP), and representative amplicons were sequenced. OMF were tested for sensitivity to smoke water. Key Results The number of plants increased up to 4-fold and 90 % of plants became vegetative during this study. Isolation of mycorrhizal fungi increased and isolation of bacteria decreased. Before the burns, the main OMF isolated was unexpectedly Tulasnella calospora (Boud.) Juel. By 2014, after the burns, the expected Ceratobasidium sp. D.P. Rogers was the only OMF isolated in most burnt quadrats, whereas T. calospora was confined to a minority of unburnt 'control' and the 'spring burn' quadrats, which were also the only ones with flowering plants. Conclusions The decline in rainfall during 2010-2012 probably caused the switch from mainly flowering to mainly vegetative plants and the change in OMFs. Burning in spring to summer was less damaging to this orchid than burning in autumn to winter, which should be noted by authorities in fire management plans for fire-prone areas in which this orchid occurs.
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Affiliation(s)
- N U Jasinge
- School of Science, RMIT University (Bundoora West Campus), Bundoora, VIC, Australia
| | - T Huynh
- School of Science, RMIT University (Bundoora West Campus), Bundoora, VIC, Australia
| | - A C Lawrie
- School of Science, RMIT University (Bundoora West Campus), Bundoora, VIC, Australia
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Mazzucco D, Crombie J, Hanzlik J, Butch J, Huynh T, Patel N. Demonstration in a Cadaver of a Novel Device and Method for Cuff Closure in Hysterectomy. J Minim Invasive Gynecol 2017. [DOI: 10.1016/j.jmig.2017.08.512] [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: 10/18/2022]
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Zhang M, Kem M, Mooradian M, Eliane J, Huynh T, Iafrate A, Gainor J, Mino-Kenudson M. P1.07-033 Differential Expression of Immune Inhibitory Markers in Association with the Immune Microenvironment in Resected Lung Adenocarcinomas. J Thorac Oncol 2017. [DOI: 10.1016/j.jtho.2017.09.951] [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: 10/18/2022]
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Alloul K, Komari N, De Chantal M, Huynh T. MODELLING THE IMPACT OF LOW-DENSITY LIPOPROTEIN CHOLESTEROL LOWERING WITH ALIROCUMAB ON CARDIOVASCULAR EVENT REDUCTION IN CANADA. Can J Cardiol 2017. [DOI: 10.1016/j.cjca.2017.07.263] [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: 10/18/2022] Open
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AlTurki A, Huynh T, Dawas A, Essebag V. THE IMPACT OF EMPIRICAL LEFT ATRIAL APPENDAGE ISOLATION IN ATRIAL FIBRILLATION CATHETER ABLATION: A META-ANALYSIS. Can J Cardiol 2017. [DOI: 10.1016/j.cjca.2017.07.292] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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