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Driban JB, Baek J, Patarini JC, Kirillov E, Vo N, Richard MJ, Zhang M, Harkey MS, Lo GH, Liu SH, Eaton CB, MacKay J, Barbe MF, McAlindon TE. Contralateral knee osteoarthritis severity relates to magnetic resonance imaging findings in knees with and without osteoarthritis: Data from the osteoarthritis initiative. OSTEOARTHRITIS AND CARTILAGE OPEN 2025; 7:100585. [PMID: 40093663 PMCID: PMC11908568 DOI: 10.1016/j.ocarto.2025.100585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2025] [Accepted: 02/12/2025] [Indexed: 03/19/2025] Open
Abstract
Objective We explored whether a magnetic resonance imaging (MRI)-based composite score of bone marrow lesion and effusion-synovitis volumes related to contralateral knee osteoarthritis disease severity. Design Using data from the Osteoarthritis Initiative, we conducted cross-sectional knee-based analyses among participants with bilateral knee MRIs and at least one knee with Kellgren-Lawrence (KL) grade ≥1 and a WOMAC pain score ≥10/100 (n = 693). Bone marrow lesion and effusion-synovitis volumes on MRIs were used to calculate a composite score ("disease activity"). We divided the disease activity score into tertiles. We used multinomial logistic models to explore the association between disease activity in knees with and without radiographic osteoarthritis (outcome) and the contralateral disease severity (KL grade or disease activity; exposure). Results We included 1386 knees from participants with an average age of 62 (standard deviation = 9) years. Most participants were overweight and had mild-to-moderate radiographic osteoarthritis. Disease activity among knees without radiographic osteoarthritis had statistically significant relationships with contralateral disease activity (range of odds ratios: 4.86-23.22) but not contralateral KL grade (range of odds ratios: 0.86-1.01). Disease activity among knees with radiographic osteoarthritis had statistically significant relationships with contralateral disease activity and KL grade; however, the association was stronger for contralateral disease activity than KL grade (range of odds ratios: 3.67-21.29 versus 1.96-2.20). Conclusion Structural findings in one knee may relate to structural findings in the other knee. This highlights the need for future studies to explore how the contralateral knee could impact clinical trial screening, monitoring, and intervention strategies, especially when testing localized therapies.
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Affiliation(s)
- Jeffrey B. Driban
- Department of Population and Quantitative Sciences, UMass Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA
| | - Jonggyu Baek
- Department of Population and Quantitative Sciences, UMass Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA
| | - Julieann C. Patarini
- Department of Population and Quantitative Sciences, UMass Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA
| | - Emily Kirillov
- Division of Rheumatology, Allergy, & Immunology, Tufts Medical Center, 800 Washington, Street Boston, MA, 02111, USA
| | - Nhung Vo
- Division of Rheumatology, Allergy, & Immunology, Tufts Medical Center, 800 Washington, Street Boston, MA, 02111, USA
| | - Michael J. Richard
- Division of Rheumatology, Allergy, & Immunology, Tufts Medical Center, 800 Washington, Street Boston, MA, 02111, USA
| | - Ming Zhang
- Department of Computer Science, Boston University, 111 Cummington Mall, Boston, MA, 02215, USA
| | - Matthew S. Harkey
- Department of Kinesiology, Michigan State University, 308 W. Circle Drive, East Lansing, MI, 48824, USA
| | - Grace H. Lo
- Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA
- Medical Care Line and Research Care Line, Houston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Medical Center, 2002 Holcombe Blvd, Houston, TX, 77030, USA
| | - Shao-Hsien Liu
- Department of Population and Quantitative Sciences, UMass Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA
| | - Charles B. Eaton
- Center for Primary Care and Prevention, Kent Hospital, 111 Brewster St, Pawtucket, RI, 02860, USA
- Brown University School of Public Health, 121 South Main Street Providence, RI, 02903, USA
| | - Jamie MacKay
- Department of Radiology, University of Cambridge, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, United Kingdom
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, United Kingdom
| | - Mary F. Barbe
- Aging + Cardiovascular Discovery Center, Lewis Katz School of Medicine, Temple University, 3500 N. Broad Street, Philadelphia, PA, 19140, USA
| | - Timothy E. McAlindon
- Division of Rheumatology, Department of Medicine, UMass Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA
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Sekiya I, Katano H, Mizuno M, Endo K, Asami A, Kajiwara M, Otomo N, Koga H, Masumoto J, Ozeki N. 3D-MRI analysis of cartilage thickness changes after PRP injection in medial knee osteoarthritis: A preliminary report. PLoS One 2025; 20:e0321067. [PMID: 40305563 PMCID: PMC12043159 DOI: 10.1371/journal.pone.0321067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2024] [Accepted: 03/02/2025] [Indexed: 05/02/2025] Open
Abstract
The regenerative effect of platelet-rich plasma injection on cartilage in knee osteoarthritis remains controversial. The purpose of this study was to use our recently developed 3D-MRI evaluation system to examine in detail the changes in cartilage thickness occurring six months after platelet-rich plasma injection. This study included 21 knees from 16 patients with medial knee osteoarthritis. An autologous protein solution (APS) was injected as platelet-rich plasma, and magnetic resonance imaging scans were taken before and six months after the injection. Cartilage thickness was quantified in seven regions using SYNAPSE 3D. Based on previous studies, the measurement error was set at 0.1 mm. The proportion of knees in which cartilage thickness increased (>0.1 mm) was highest in the anteromedial femoral region (43%); followed by the anterolateral femoral and lateral tibial regions (24%); the posterolateral femoral, patellar, and medial tibial regions (19%); and lowest in the posteromedial femoral region (14%). Notably, in the posteromedial femoral and medial tibial regions, which are primarily affected by medial osteoarthritis, less than 20% of the knees showed increased cartilage thickness. Our findings suggest that while platelet-rich plasma injection may have a positive effect on cartilage thickness in certain regions of the knee, its impact on the regions most affected by medial osteoarthritis appears limited.
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Affiliation(s)
- Ichiro Sekiya
- Center for Stem Cell and Regenerative Medicine, Institute of Science, Tokyo, Japan
- Blood Transfusion and Cell Therapy Center, Institute of Science, Tokyo, Japan
| | - Hisako Katano
- Center for Stem Cell and Regenerative Medicine, Institute of Science, Tokyo, Japan
- Blood Transfusion and Cell Therapy Center, Institute of Science, Tokyo, Japan
| | - Mitsuru Mizuno
- Center for Stem Cell and Regenerative Medicine, Institute of Science, Tokyo, Japan
- Blood Transfusion and Cell Therapy Center, Institute of Science, Tokyo, Japan
| | - Kentaro Endo
- Center for Stem Cell and Regenerative Medicine, Institute of Science, Tokyo, Japan
| | - Asuka Asami
- Center for Stem Cell and Regenerative Medicine, Institute of Science, Tokyo, Japan
| | - Michiko Kajiwara
- Blood Transfusion and Cell Therapy Center, Institute of Science, Tokyo, Japan
| | - Naoki Otomo
- Blood Transfusion and Cell Therapy Center, Institute of Science, Tokyo, Japan
| | - Hideyuki Koga
- Department of Joint Surgery and Sports Medicine, Graduate School of Medical and Dental Sciences, Institute of Science, Tokyo, Japan
| | | | - Nobutake Ozeki
- Center for Stem Cell and Regenerative Medicine, Institute of Science, Tokyo, Japan
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Sato D, Manatrakul R, Ngarmsrikam C, Feeley BT, Ma CB, Link TM, Lansdown DA. The Condition of the Meniscus and Cartilage of the Injured Knee on Preoperative Magnetic Resonance Imaging Is a Prognostic Factor Affecting Postoperative Outcomes Following Knee Cartilage Restoration Surgery. Arthrosc Sports Med Rehabil 2024; 6:100973. [PMID: 39776500 PMCID: PMC11701935 DOI: 10.1016/j.asmr.2024.100973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 07/01/2024] [Indexed: 01/11/2025] Open
Abstract
Purpose To evaluate the relationship between preoperative whole-joint imaging evaluation of the knee with patient-reported outcome (PRO) measures after cartilage restoration surgery (mosaicplasty, osteochondral allograft transplantation, matrix autologous chondrocyte implantation). Methods We retrospectively evaluated patients who underwent knee articular cartilage restoration at our institution from 2014 to 2020. The patients' knee magnetic resonance imaging (MRI) was evaluated with the Whole-Organ Magnetic Resonance Imaging Score (WORMS) and semiquantitative synovial inflammation imaging biomarkers of the preoperative MRI. To assess PRO score, Lysholm score and Knee injury and Osteoarthritis Outcome Score were completed at a minimum 2-year follow-up. Statistical analysis was performed using the Spearman rank test to obtain correlation values for WORMS score and PRO score for each survey. Results Forty patients were enrolled in this study. The average age at baseline was 34.5 years. The average body mass index was 28.2, and 26 of 40 were men (age range, 20-58 years). The maximum preoperative WORMS score was significantly correlated with the postoperative Lysholm score (r = -0.52, P = .0013). The WORMS Meniscus and Cartilage subscales were significantly correlated with the Lysholm score (r = -0.36, P = .024 and r = -0.37, P = .021, respectively). The maximum WORMS score was significantly correlated with the Knee injury and Osteoarthritis Outcome Score daily living and sports/recreation subscores (r = -0.47, P = .0023 and r = -0.42, P = .0077, respectively). Semiquantitative synovial inflammation imaging biomarkers were not significantly correlated with PRO scores. Conclusions Increasing preoperative degenerative change in the knee, as evidenced by a higher WORMS on preoperative MRI, was associated with inferior patient-reported outcomes at a minimum of 2 years after cartilage restoration surgery (mosaicplasty, osteochondral allograft transplantation, matrix autologous chondrocyte implantation). Semiquantitative scoring of the whole joint on preoperative MRI may allow for improved counseling regarding expected benefit for patients after cartilage restoration surgery. Level of Evidence Level IV, prognostic case series.
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Affiliation(s)
- Dai Sato
- Department of Orthopedic Surgery, Sports Medicine & Shoulder Surgery, University of California, San Francisco, San Francisco, California, U.S.A
- Department of Orthopedic Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Rawee Manatrakul
- Musculoskeletal and Quantitative Imaging Research, Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, U.S.A
- Department of Radiology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Chotigar Ngarmsrikam
- Musculoskeletal and Quantitative Imaging Research, Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, U.S.A
| | - Brian T. Feeley
- Department of Orthopedic Surgery, Sports Medicine & Shoulder Surgery, University of California, San Francisco, San Francisco, California, U.S.A
| | - C. Benjamin Ma
- Department of Orthopedic Surgery, Sports Medicine & Shoulder Surgery, University of California, San Francisco, San Francisco, California, U.S.A
| | - Thomas M. Link
- Musculoskeletal and Quantitative Imaging Research, Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, U.S.A
| | - Drew A. Lansdown
- Department of Orthopedic Surgery, Sports Medicine & Shoulder Surgery, University of California, San Francisco, San Francisco, California, U.S.A
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4
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Collins JE, Roemer FW, Guermazi A. Approaches to optimize analyses of multidimensional ordinal MRI data in osteoarthritis research: A perspective. OSTEOARTHRITIS AND CARTILAGE OPEN 2024; 6:100465. [PMID: 38601258 PMCID: PMC11004399 DOI: 10.1016/j.ocarto.2024.100465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/22/2024] [Indexed: 04/12/2024] Open
Abstract
Objective Knee osteoarthritis (OA) is a disease of the whole joint involving multiple tissue types. MRI-based semi-quantitative (SQ) scoring of knee OA is a method to perform multi-tissue joint assessment and has been shown to be a valid and reliable way to measure structural multi-tissue involvement and progression of the disease. While recent work has described how SQ scoring may be used for clinical trial enrichment and disease phenotyping in OA, less guidance is available for how these parameters may be used to assess study outcomes. Design Here we present recommendations for summarizing disease progression within specific tissue types. We illustrate how various methods may be used to quantify longitudinal change using SQ scoring and review examples from the literature. Results Approaches to quantify longitudinal change across subregions include the count of number of subregions, delta-subregion, delta-sum, and maximum grade changes. Careful attention should be paid to features that may fluctuate, such as bone marrow lesions, or with certain interventions, for example pharmacologic interventions with anticipated cartilage anabolic effects. The statistical approach must align with the nature of the outcome. Conclusions SQ scoring presents a way to understand disease progression across the whole joint. As OA is increasingly recognized as a heterogeneous disease with different phenotypes a better understanding of longitudinal progression across tissue types may present an opportunity to match study outcome to patient phenotype or to treatment mechanism of action.
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Affiliation(s)
- Jamie E. Collins
- Orthopaedics and Arthritis Center of Outcomes Research, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, BTM Suite 5016, Boston, MA, 02115, USA
| | - Frank W. Roemer
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, 820 Harrison Avenue, FGH Building, 4th Floor, Boston, MA, 02118, USA
- Department of Radiology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Universitätsklinikum Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany
| | - Ali Guermazi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, 820 Harrison Avenue, FGH Building, 4th Floor, Boston, MA, 02118, USA
- Department of Radiology, VA Boston Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA, 02132, USA
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5
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Messier SP, Callahan LF, Losina E, Mihalko SL, Guermazi A, Ip E, Miller GD, Katz JN, Loeser RF, Pietrosimone BG, Soto S, Cook JL, Newman JJ, DeVita P, Spindler KP, Runhaar J, Armitano-Lago C, Duong V, Selzer F, Hill R, Love M, Beavers DP, Saldana S, Stoker AM, Rice PE, Hunter DJ. The osteoarthritis prevention study (TOPS) - A randomized controlled trial of diet and exercise to prevent Knee Osteoarthritis: Design and rationale. OSTEOARTHRITIS AND CARTILAGE OPEN 2024; 6:100418. [PMID: 38144515 PMCID: PMC10746515 DOI: 10.1016/j.ocarto.2023.100418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/19/2023] [Accepted: 11/13/2023] [Indexed: 12/26/2023] Open
Abstract
Background Osteoarthritis (OA), the leading cause of disability among adults, has no cure and is associated with significant comorbidities. The premise of this randomized clinical trial is that, in a population at risk, a 48-month program of dietary weight loss and exercise will result in less incident structural knee OA compared to control. Methods/design The Osteoarthritis Prevention Study (TOPS) is a Phase III, assessor-blinded, 48-month, parallel 2 arm, multicenter randomized clinical trial designed to reduce the incidence of structural knee OA. The study objective is to assess the effects of a dietary weight loss, exercise, and weight-loss maintenance program in preventing the development of structural knee OA in females at risk for the disease. TOPS will recruit 1230 ambulatory, community dwelling females with obesity (Body Mass Index (BMI) ≥ 30 kg/m2) and aged ≥50 years with no radiographic (Kellgren-Lawrence grade ≤1) and no magnetic resonance imaging (MRI) evidence of OA in the eligible knee, with no or infrequent knee pain. Incident structural knee OA (defined as tibiofemoral and/or patellofemoral OA on MRI) assessed at 48-months from intervention initiation using the MRI Osteoarthritis Knee Score (MOAKS) is the primary outcome. Secondary outcomes include knee pain, 6-min walk distance, health-related quality of life, knee joint loading during gait, inflammatory biomarkers, and self-efficacy. Cost effectiveness and budgetary impact analyses will determine the value and affordability of this intervention. Discussion This study will assess the efficacy and cost effectiveness of a dietary weight loss, exercise, and weight-loss maintenance program designed to reduce incident knee OA. Trial registration ClinicalTrials.gov Identifier: NCT05946044.
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Affiliation(s)
- Stephen P. Messier
- J.B. Snow Biomechanics Laboratory, Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Leigh F. Callahan
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elena Losina
- Orthopedic and Arthritis Center for Outcomes Research, Department of Orthopedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Shannon L. Mihalko
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Ali Guermazi
- Boston University School of Medicine, Boston, MA, USA
| | - Edward Ip
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Gary D. Miller
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Jeffrey N. Katz
- Orthopedic and Arthritis Center for Outcomes Research, Department of Orthopedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Richard F. Loeser
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Brian G. Pietrosimone
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sandra Soto
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James L. Cook
- Department of Orthopaedic Surgery, Thompson Laboratory for Regenerative Orthopaedics, Missouri Orthopaedic Institute, University of Missouri School of Medicine, Columbia, MO, USA
| | - Jovita J. Newman
- J.B. Snow Biomechanics Laboratory, Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Paul DeVita
- Department of Kinesiology, East Carolina University, Greenville, NC, USA
| | - Kurt P. Spindler
- Clinical Research and Outcomes, Cleveland Clinic Florida, Weston, FL, USA
| | - Jos Runhaar
- Erasmus MC University Medical Center Rotterdam, Department of General Practice, Rotterdam, the Netherlands
| | - Cortney Armitano-Lago
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Vicky Duong
- Sydney Musculoskeletal Health, Kolling Institute, University of Sydney, Sydney, Australia
| | - Faith Selzer
- Orthopedic and Arthritis Center for Outcomes Research, Department of Orthopedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ryan Hill
- J.B. Snow Biomechanics Laboratory, Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Monica Love
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Daniel P. Beavers
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Santiago Saldana
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Aaron M. Stoker
- Department of Orthopaedic Surgery, Thompson Laboratory for Regenerative Orthopaedics, Missouri Orthopaedic Institute, University of Missouri School of Medicine, Columbia, MO, USA
| | - Paige E. Rice
- J.B. Snow Biomechanics Laboratory, Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - David J. Hunter
- Sydney Musculoskeletal Health, Kolling Institute, University of Sydney, Sydney, Australia
- Rheumatology Department, Royal North Shore Hospital, Sydney, Australia
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Filippi L, Camedda R, Frantellizzi V, Urbano N, De Vincentis G, Schillaci O. Functional Imaging in Musculoskeletal Disorders in Menopause. Semin Nucl Med 2024; 54:206-218. [PMID: 37914617 DOI: 10.1053/j.semnuclmed.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 10/08/2023] [Accepted: 10/09/2023] [Indexed: 11/03/2023]
Abstract
Menopause-related musculoskeletal (MSK) disorders include osteoporosis, osteoarthritis (OA), sarcopenia and sarco-obesity. This review focuses on the applications of nuclear medicine for the functional imaging of the aforementioned clinical conditions. Bone Scan (BS) with 99mTc-labeled phosphonates, alone or in combination with MRI, can identify "fresh" vertebral collapse due to age-associated osteoporosis and provides quantitative parameters characterized by a good correlation with radiological indices in patients with OA. 18F-NaF PET, particularly when performed by dynamic scan, has given encouraging results for measuring bone turnover in osteoporosis and allows the evaluation of subchondral bone metabolic activity in OA. FDG PET can help discriminate between pathological and nonpathological vertebral fractures, especially by applying appropriate SUV-based thresholds. In OA, it can effectively image inflamed joints and support appropriate clinical management. Preliminary evidences suggest a possible application of FDG in sarco-obesity for the detection and quantification of visceral adipose tissue (VAT). Further studies are needed to better define the role of nuclear medicine in menopause-related MSK disease, especially as regards the possible impact of new radiopharmaceuticals (ie, FAPI and RGD peptides) and recent technological advances (eg, total-body PET/CT scanners).
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Affiliation(s)
- Luca Filippi
- Nuclear Medicine Unit, Department of Oncohaematology, Fondazione PTV Policlinico Tor Vergata University Hospital, Rome, Italy.
| | - Riccardo Camedda
- Department of Biomedicine and Prevention, University Tor Vergata, Rome, Italy
| | - Viviana Frantellizzi
- Department of Radiological Sciences, Oncology and Anatomo-Pathology, Sapienza University of Rome, Rome, Italy
| | - Nicoletta Urbano
- Nuclear Medicine Unit, Department of Oncohaematology, Fondazione PTV Policlinico Tor Vergata University Hospital, Rome, Italy
| | - Giuseppe De Vincentis
- Department of Radiological Sciences, Oncology and Anatomo-Pathology, Sapienza University of Rome, Rome, Italy
| | - Orazio Schillaci
- Department of Biomedicine and Prevention, University Tor Vergata, Rome, Italy
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7
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Wirth W, Ladel C, Maschek S, Wisser A, Eckstein F, Roemer F. Quantitative measurement of cartilage morphology in osteoarthritis: current knowledge and future directions. Skeletal Radiol 2023; 52:2107-2122. [PMID: 36380243 PMCID: PMC10509082 DOI: 10.1007/s00256-022-04228-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/29/2022] [Accepted: 10/31/2022] [Indexed: 11/16/2022]
Abstract
Quantitative measures of cartilage morphology ("cartilage morphometry") extracted from high resolution 3D magnetic resonance imaging (MRI) sequences have been shown to be sensitive to osteoarthritis (OA)-related change and also to treatment interventions. Cartilage morphometry is therefore nowadays widely used as outcome measure for observational studies and randomized interventional clinical trials. The objective of this narrative review is to summarize the current status of cartilage morphometry in OA research, to provide insights into aspects relevant for the design of future studies and clinical trials, and to give an outlook on future developments. It covers the aspects related to the acquisition of MRIs suitable for cartilage morphometry, the analysis techniques needed for deriving quantitative measures from the MRIs, the quality assurance required for providing reliable cartilage measures, and the appropriate participant recruitment criteria for the enrichment of study cohorts with knees likely to show structural progression. Finally, it provides an overview over recent clinical trials that relied on cartilage morphometry as a structural outcome measure for evaluating the efficacy of disease-modifying OA drugs (DMOAD).
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Affiliation(s)
- Wolfgang Wirth
- Department of Imaging & Functional Musculoskeletal Research, Institute of Anatomy & Cell Biology, Paracelsus Medical University Salzburg & Nuremberg, Strubergasse 21, 5020 Salzburg, Austria
- Ludwig Boltzmann Inst. for Arthritis and Rehabilitation, Paracelsus Medical University Salzburg & Nuremberg, Salzburg, Austria
- Chondrometrics GmbH, Freilassing, Germany
| | | | - Susanne Maschek
- Department of Imaging & Functional Musculoskeletal Research, Institute of Anatomy & Cell Biology, Paracelsus Medical University Salzburg & Nuremberg, Strubergasse 21, 5020 Salzburg, Austria
- Chondrometrics GmbH, Freilassing, Germany
| | - Anna Wisser
- Department of Imaging & Functional Musculoskeletal Research, Institute of Anatomy & Cell Biology, Paracelsus Medical University Salzburg & Nuremberg, Strubergasse 21, 5020 Salzburg, Austria
- Ludwig Boltzmann Inst. for Arthritis and Rehabilitation, Paracelsus Medical University Salzburg & Nuremberg, Salzburg, Austria
- Chondrometrics GmbH, Freilassing, Germany
| | - Felix Eckstein
- Department of Imaging & Functional Musculoskeletal Research, Institute of Anatomy & Cell Biology, Paracelsus Medical University Salzburg & Nuremberg, Strubergasse 21, 5020 Salzburg, Austria
- Ludwig Boltzmann Inst. for Arthritis and Rehabilitation, Paracelsus Medical University Salzburg & Nuremberg, Salzburg, Austria
- Chondrometrics GmbH, Freilassing, Germany
| | - Frank Roemer
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA USA
- Department of Radiology, Universitätsklinikum Erlangen and Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
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8
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Patterson BE, Girdwood MA, West TJ, Bruder AM, Øiestad BE, Juhl C, Culvenor AG. Muscle strength and osteoarthritis of the knee: a systematic review and meta-analysis of longitudinal studies. Skeletal Radiol 2023; 52:2085-2097. [PMID: 36562820 DOI: 10.1007/s00256-022-04266-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 12/12/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To evaluate the sex-specific association between low knee extensor and flexor muscle strength and the risk of knee structural worsening. MATERIALS AND METHODS Systematic searches in five databases identified longitudinal studies (≥ 1 year follow-up) reporting an association between knee extensor or flexor strength and structural decline in individuals with, or at risk of, knee osteoarthritis. Results were pooled for tibiofemoral and patellofemoral osteoarthritis worsening (and stratified by sex/gender where possible) using a random-effects meta-analysis estimating the risk ratio and 95% confidence interval or a best-evidence synthesis. Risk of bias and overall certainty of evidence were assessed. RESULTS Fourteen studies were included with participants (mean age 27-72 years) with osteoarthritis (n = 8), at risk of osteoarthritis (n = 3), or a combination with, or at risk of, osteoarthritis (n = 3). Low knee extensor strength was associated with an increased risk of worsening tibiofemoral (12 studies: RR 1.18, 95% CI 1.04 to 1.35) and patellofemoral osteoarthritis (4 studies: RR 1.62, 95% CI 1.01 to 2.61). Significant associations between low knee extensor strength and worsening tibiofemoral osteoarthritis were observed for women (4 studies: RR 1.25, 95% CI 1.04 to 1.51) but not men (4 studies: RR 1.10, 95% CI 0.87 to 1.39). Low knee flexor strength increased the risk of worsening tibiofemoral osteoarthritis (5 studies: RR 1.16, 95% CI 1.07 to 1.26). Ten studies were high risk of bias, and all estimates were graded as very low certainty of evidence. CONCLUSION Low knee extensor and flexor strength increased the risk of worsening tibiofemoral osteoarthritis. Low knee extensor strength increased the risk of worsening patellofemoral osteoarthritis. The relationship between low knee extensor strength and worsening tibiofemoral osteoarthritis may be modified by sex/gender.
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Affiliation(s)
- Brooke E Patterson
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health Human Services and Sport, La Trobe University, Kingsbury Drive, Melbourne, VIC, 3086, Australia
- Australian IOC Research Centre, La Trobe University, Melbourne, VIC, Australia
| | - Michael A Girdwood
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health Human Services and Sport, La Trobe University, Kingsbury Drive, Melbourne, VIC, 3086, Australia
- Australian IOC Research Centre, La Trobe University, Melbourne, VIC, Australia
| | - Thomas J West
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health Human Services and Sport, La Trobe University, Kingsbury Drive, Melbourne, VIC, 3086, Australia
- Australian IOC Research Centre, La Trobe University, Melbourne, VIC, Australia
| | - Andrea M Bruder
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health Human Services and Sport, La Trobe University, Kingsbury Drive, Melbourne, VIC, 3086, Australia
- Australian IOC Research Centre, La Trobe University, Melbourne, VIC, Australia
| | - Britt Elin Øiestad
- Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway
| | - Carsten Juhl
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Department of Physiotherapy and Occupational Therapy, University Hospital of Copenhagen, Herlev, and Gentofte, Capital Region of Denmark, Denmark
| | - Adam G Culvenor
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health Human Services and Sport, La Trobe University, Kingsbury Drive, Melbourne, VIC, 3086, Australia.
- Australian IOC Research Centre, La Trobe University, Melbourne, VIC, Australia.
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9
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Sugimura N, Aso K, Wada H, Izumi M, Ikeuchi M. Association Between Power Doppler Ultrasound Signals and Chronic Pain After Total Knee Arthroplasty: A Cross-Sectional Explorative Study. J Pain Res 2023; 16:2981-2992. [PMID: 37664487 PMCID: PMC10474857 DOI: 10.2147/jpr.s403641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 08/21/2023] [Indexed: 09/05/2023] Open
Abstract
Purpose Some patients experience chronic postsurgical pain (CPSP) after total knee arthroplasty (TKA) despite the absence of clinical or radiographic abnormalities. Postoperative synovitis as a cause of CPSP after TKA has received limited research attention. This study aimed to investigate the relationship between synovitis after TKA and CPSP. Patients and Methods A total of 111 knees of 85 patients, with at least 1-year post-TKA follow-up, were assessed retrospectively and cross-sectionally. Power Doppler (PD) ultrasonography was used to detect the synovial hypervascularity associated with synovitis. The knee joint was divided into 15 areas, and PD signals were graded semi-quantitatively (0-3) in each area, the sum of which was defined as the total PD score. Clinical information regarding CPSP, including the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscales, was recorded. The relationship between pain and PD ultrasonography findings was accessed. Patients were divided into two groups (CPSP+ and CPSP- groups) based on pain severity. Clinical information, including PD ultrasonography findings and other possible causes, was compared between the groups. Results The WOMAC pain subscale was significantly correlated with the total PD score and maximum PD grade (r=0.3977, p<0.0001; r=0.2797, p=0.0029; respectively). The CPSP+ group had a significantly higher maximum PD grade and total PD score than the CPSP- group (median [interquartile range]: 2 [1, 2] vs 1 [1, 2], p=0.0001; 6 [2, 11] vs 2 [1, 4], p=0.0002; respectively). Multiple and logistic regression analyses showed that the total PD score was an independent factor for the WOMAC pain subscale (β=0.3822, 95% confidence interval [CI]=0.1460, 0.6184, p=0.00176) and CPSP (odds ratio=1.19, 95% CI=1.01, 1.41, p=0.0424). Conclusion This study indicated a possible association between the total PD score and chronic pain after TKA; however, further studies are needed to corroborate these findings.
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Affiliation(s)
- Natsuki Sugimura
- Department of Orthopedic Surgery, Kochi Medical School, Kochi University, Nankoku, Kochi, 783-8505, Japan
- Department of Orthopedic Surgery, Hata Prefectural Hospital, Sukumo, Kochi, 788-0785, Japan
| | - Koji Aso
- Department of Orthopedic Surgery, Kochi Medical School, Kochi University, Nankoku, Kochi, 783-8505, Japan
| | - Hiroyuki Wada
- Department of Orthopedic Surgery, Kochi Medical School, Kochi University, Nankoku, Kochi, 783-8505, Japan
| | - Masashi Izumi
- Department of Orthopedic Surgery, Kochi Medical School, Kochi University, Nankoku, Kochi, 783-8505, Japan
| | - Masahiko Ikeuchi
- Department of Orthopedic Surgery, Kochi Medical School, Kochi University, Nankoku, Kochi, 783-8505, Japan
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10
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Rajamohan HR, Wang T, Leung K, Chang G, Cho K, Kijowski R, Deniz CM. Prediction of total knee replacement using deep learning analysis of knee MRI. Sci Rep 2023; 13:6922. [PMID: 37117260 PMCID: PMC10147603 DOI: 10.1038/s41598-023-33934-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 04/21/2023] [Indexed: 04/30/2023] Open
Abstract
Current methods for assessing knee osteoarthritis (OA) do not provide comprehensive information to make robust and accurate outcome predictions. Deep learning (DL) risk assessment models were developed to predict the progression of knee OA to total knee replacement (TKR) over a 108-month follow-up period using baseline knee MRI. Participants of our retrospective study consisted of 353 case-control pairs of subjects from the Osteoarthritis Initiative with and without TKR over a 108-month follow-up period matched according to age, sex, ethnicity, and body mass index. A traditional risk assessment model was created to predict TKR using baseline clinical risk factors. DL models were created to predict TKR using baseline knee radiographs and MRI. All DL models had significantly higher (p < 0.001) AUCs than the traditional model. The MRI and radiograph ensemble model and MRI ensemble model (where TKR risk predicted by several contrast-specific DL models were averaged to get the ensemble TKR risk prediction) had the highest AUCs of 0.90 (80% sensitivity and 85% specificity) and 0.89 (79% sensitivity and 86% specificity), respectively, which were significantly higher (p < 0.05) than the AUCs of the radiograph and multiple MRI models (where the DL models were trained to predict TKR risk using single contrast or 2 contrasts together as input). DL models using baseline MRI had a higher diagnostic performance for predicting TKR than a traditional model using baseline clinical risk factors and a DL model using baseline knee radiographs.
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Affiliation(s)
| | - Tianyu Wang
- Center for Data Science, New York University, 60 5th Ave, New York, NY, 10011, USA
| | - Kevin Leung
- Courant Institute of Mathematical Sciences, New York University, 251 Mercer St, New York, NY, 10012, USA
| | - Gregory Chang
- Department of Radiology, New York University Langone Health, 660 1st Ave, New York, NY, 10016, USA
| | - Kyunghyun Cho
- Center for Data Science, New York University, 60 5th Ave, New York, NY, 10011, USA
- Courant Institute of Mathematical Sciences, New York University, 251 Mercer St, New York, NY, 10012, USA
| | - Richard Kijowski
- Department of Radiology, New York University Langone Health, 660 1st Ave, New York, NY, 10016, USA
| | - Cem M Deniz
- Department of Radiology, New York University Langone Health, 660 1st Ave, New York, NY, 10016, USA.
- Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Langone Health, 650 First Avenue, Room 418, New York, NY, 10016, USA.
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11
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Gilles G, Vohra A, Robles D, Taljanovic MS, Ashbeck EL, Caruso C, Duryea J, Bedrick EJ, Guermazi A, Kwoh CK. Reliability and Validity of Single Axial Slice vs. Multiple Slice Quantitative Measurement of the Volume of Effusion-Synovitis on 3T Knee MRI in Knees with Osteoarthritis. J Clin Med 2023; 12:jcm12072691. [PMID: 37048775 PMCID: PMC10095125 DOI: 10.3390/jcm12072691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/18/2023] [Accepted: 03/28/2023] [Indexed: 04/07/2023] Open
Abstract
Effusion-synovitis (ES) is recognized as a component of osteoarthritis, creating a need for rapid methods to assess ES on MRI. We describe the development and reliability of an efficient single-slice semi-automated quantitative approach to measure ES. We used two samples from the Osteoarthritis Initiative (OAI): 50 randomly selected OAI participants with radiographic osteoarthritis (i.e., Kellgren–Lawrence (KL) grade 2 or 3) and a subset from the Foundation for the National Institutes of Health Osteoarthritis Biomarker study. An experienced musculoskeletal radiologist trained four non-expert readers to use custom semi-automated software to measure ES on a single axial slice and then read scans blinded to prior assessments. The estimated intraclass correlation coefficient (ICC) for intra-reader reliability of the single-slice ES method in the KL 2–3 sample was 0.96 (95% CI: 0.93, 0.97), and for inter-reader reliability, the ICC was 0.90 (95% CI: 0.87, 0.95). The intra-reader mean absolute difference (MAD) was 35 mm3 (95% CI: 28, 44), and the inter-reader MAD was 61 mm3 (95% CI: 48, 76). Our single-slice quantitative knee ES measurement offers a reliable, valid, and efficient surrogate for multi-slice quantitative and semi-quantitative assessment.
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Affiliation(s)
- Greg Gilles
- University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA
| | - Arjun Vohra
- University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA
| | - Dagoberto Robles
- University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA
| | - Mihra S. Taljanovic
- University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA
- Departments of Medical Imaging and Orthopaedic Surgery, University of Arizona, Tucson, AZ 85719, USA
- Department of Radiology, University of New Mexico Health Sciences, Albuquerque, NM 87131, USA
| | - Erin L. Ashbeck
- University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA
| | - Chelsea Caruso
- University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA
- Tualatin Imaging P.C., Tualatin, OR 97062, USA
| | - Jeffrey Duryea
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Edward J. Bedrick
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ 85724, USA
| | - Ali Guermazi
- VA Boston Healthcare System, West Roxbury, Boston, MA 02132, USA
- Department of Radiology, Boston University School of Medicine, Boston, MA 02118, USA
| | - C. Kent Kwoh
- University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA
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12
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郭 蜀, 管 士, 刘 宁. [Research progress of failure and revision of unicompartmental knee arthroplasty]. ZHONGGUO XIU FU CHONG JIAN WAI KE ZA ZHI = ZHONGGUO XIUFU CHONGJIAN WAIKE ZAZHI = CHINESE JOURNAL OF REPARATIVE AND RECONSTRUCTIVE SURGERY 2023; 37:221-227. [PMID: 36796820 PMCID: PMC9970781 DOI: 10.7507/1002-1892.202211013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/25/2022] [Indexed: 02/18/2023]
Abstract
Objective To conclude the failure factors of unicompartmental knee arthroplasty (UKA), and summarize the research progress of revision surgery. Methods The literature on UKA at home and abroad in recent years was reviewed to summarize its risk factors, treatment methods, including the evaluation of bone loss, prosthesis selection, and surgical techniques. Results The factors inducing UKA failure mainly include improper indications, technical errors, and others. The application of digital orthopedic technology can reduce failures caused by surgical technical errors and shorten the learning curve. There are a variety of options for revision surgery after UKA failure, including polyethylene liner replacement, revision with UKA or total knee arthroplasty, with adequate preoperative evaluation prior to implementation. The biggest challenge in revision surgery is the management and reconstruction of bone defects. Conclusion There is a risk of failure in UKA, which needs to be treated with caution and should be determined according to the type of failure.
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Affiliation(s)
- 蜀新 郭
- 哈尔滨医科大学附属第一医院骨科(哈尔滨 150001)Department of Orthopaedics, the First Affiliated Hospital of Harbin Medical University, Harbin Heilongjiang, 150001, P. R. China
| | - 士坤 管
- 哈尔滨医科大学附属第一医院骨科(哈尔滨 150001)Department of Orthopaedics, the First Affiliated Hospital of Harbin Medical University, Harbin Heilongjiang, 150001, P. R. China
| | - 宁 刘
- 哈尔滨医科大学附属第一医院骨科(哈尔滨 150001)Department of Orthopaedics, the First Affiliated Hospital of Harbin Medical University, Harbin Heilongjiang, 150001, P. R. China
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13
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Chung MK, Wang S, Alshanqiti I, Hu J, Ro JY. The degeneration-pain relationship in the temporomandibular joint: Current understandings and rodent models. FRONTIERS IN PAIN RESEARCH 2023; 4:1038808. [PMID: 36846071 PMCID: PMC9947567 DOI: 10.3389/fpain.2023.1038808] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 01/18/2023] [Indexed: 02/11/2023] Open
Abstract
Temporomandibular disorders (TMD) represent a group of musculoskeletal conditions involving the temporomandibular joints (TMJ), the masticatory muscles and associated structures. Painful TMD are highly prevalent and conditions afflict 4% of US adults annually. TMD include heterogenous musculoskeletal pain conditions, such as myalgia, arthralgia, and myofascial pain. A subpopulations of TMD patients show structural changes in TMJ, including disc displacement or degenerative joint diseases (DJD). DJD is a slowly progressing, degenerative disease of the TMJ characterized by cartilage degradation and subchondral bone remodeling. Patients with DJD often develop pain (TMJ osteoarthritis; TMJ OA), but do not always have pain (TMJ osteoarthrosis). Therefore, pain symptoms are not always associated with altered TMJ structures, which suggests that a causal relationship between TMJ degeneration and pain is unclear. Multiple animal models have been developed for determining altered joint structure and pain phenotypes in response to various TMJ injuries. Rodent models of TMJOA and pain include injections to induce inflammation or cartilage destruction, sustained opening of the oral cavity, surgical resection of the articular disc, transgenic approaches to knockout or overexpress key genes, and an integrative approach with superimposed emotional stress or comorbidities. In rodents, TMJ pain and degeneration occur during partially overlapping time periods in these models, which suggests that common biological factors may mediate TMJ pain and degeneration over different time courses. While substances such as intra-articular pro-inflammatory cytokines commonly cause pain and joint degeneration, it remains unclear whether pain or nociceptive activities are causally associated with structural degeneration of TMJ and whether structural degeneration of TMJ is necessary for producing persistent pain. A thorough understanding of the determining factors of pain-structure relationships of TMJ during the onset, progression, and chronification by adopting novel approaches and models should improve the ability to simultaneously treat TMJ pain and TMJ degeneration.
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Affiliation(s)
- Man-Kyo Chung
- Department of Neural and Pain Sciences, School of Dentistry, Program in Neuroscience, Center to Advance Chronic Pain Research, University of Maryland Baltimore, Baltimore, MD, United States
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14
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Anserine bursa palpation tenderness is a risk factor for knee osteoarthritis progression and arthroplasty: data from the Osteoarthritis Initiative. Clin Rheumatol 2023; 42:519-527. [PMID: 36372850 DOI: 10.1007/s10067-022-06429-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Anserine bursa pain (ABP) is defined as the presence of palpation tenderness medially below the joint line, which is 2 cm from the tibial tuberosity. This study aimed to determine a link between ABP and three knee outcomes: frequent pain, joint space narrowing (JSN) progression, and total knee arthroplasty (TKA). METHODS Participants from the Osteoarthritis Initiative cohort were included in this study. Frequent ABP was defined as presenting thrice at four-time points. The Chi-square test and binary logistic regression analyses examined the associations between ABP and the three knee outcomes. Furthermore, Cox Proportional Hazards Model explored the association between ABP and TKA. RESULTS Baseline ABP was linked to a higher risk of frequent pain (odds ratio (OR): 2.28, 95% confidence interval (CI): 1.76-2.97, P < 0 .001) and TKA (OR: 1.54, 95% CI 1.01-2.36, P = 0 .044) after adjusting for gender, baseline age, body mass index (BMI), and Kellgren-Lawrence (KL) grade. In the frequent ABP group from baseline to the 4-year follow-up (≥ 3 of four-time points), frequent pain (OR: 3.14, 95% CI: 2.34-4.22, P < 0 .001) and TKA (OR: 1.79, 95% CI: 1.11-2.90, P = 0 .017) had a high association with ABP after adjusting for gender, baseline age, BMI, and KL grade. CONCLUSION This study highlights the association between ABP and knee outcomes; therefore, clinicians should pay closer attention during the physical examination, especially in middle-aged and older female patients. Moreover, understanding ABP cause aids in better diagnosis and treatment. Key Points • This is the first study to identify an association between anserine bursa palpation tenderness and symptomatic knee osteoarthritis. • As opposed to most studies, which focus on intra-articular symptoms and signs, this study focused on extra-articular symptoms and signs. • Clinically, anserine bursa palpation tenderness can be utilized to determine patients at risk for the progression of knee osteoarthritis, thereby aiding in providing early therapeutic intervention.
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Abstract
PURPOSE OF REVIEW Imaging plays a pivotal role for diagnosis, follow-up and stratification of osteoarthritis patients in clinical trials and research. We aim to present an overview of currently available and emerging imaging techniques for osteoarthritis assessment and provide insight into relevant benefits and pitfalls of the different modalities. RECENT FINDINGS Although radiography is considered sufficient for a structural diagnosis of osteoarthritis and is commonly used to define eligibility of patients for participation in clinical trials, it has inherent limitations based on the projectional nature of the technique and inherent challenges regarding reproducibility in longitudinal assessment. MRI has changed our understanding of the disease from 'wear and tear' of cartilage to a whole organ disorder. MRI assessment of structural changes of osteoarthritis includes semi-quantitative, quantitative and compositional evaluation. Ultrasound is helpful in evaluating the degree of synovitis and has value in the assessment particularly of the patella-femoral joint. Recent development of computed tomography technology including weight-bearing systems has led to broader application of this technology in a research context. SUMMARY Advances in MRI technology have resulted in a significant improvement in understanding osteoarthritis as a multitissue disease.
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Affiliation(s)
- Majid Chalian
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Frank W Roemer
- Department of Radiology, Friedrich-Alexander University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine
| | - Ali Guermazi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine
- Department of Radiology, VA Boston Healthcare System, Boston, Massachusetts, USA
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16
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Advanced MR Imaging for Knee Osteoarthritis: A Review on Local and Brain Effects. Diagnostics (Basel) 2022; 13:diagnostics13010054. [PMID: 36611346 PMCID: PMC9818324 DOI: 10.3390/diagnostics13010054] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/13/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
Knee osteoarthritis is one of the leading causes of chronic disability worldwide and is a significant social and economic burden on healthcare systems; hence it has become essential to develop methods to identify patients at risk for developing knee osteoarthritis at an early stage. Standard morphological MRI sequences are focused mostly on alterations seen in advanced stages of osteoarthritis. However, they possess low sensitivity for early, subtle, and potentially reversible changes of the degenerative process. In this review, we have summarized the state of the art with regard to innovative quantitative MRI techniques that exploit objective and quantifiable biomarkers to identify subtle alterations that occur in early stages of osteoarthritis in knee cartilage before any morphological alteration occurs and to capture potential effects on the brain. These novel MRI imaging tools are believed to have great potential for improving the current standard of care, but further research is needed to address limitations before these compositional techniques can be robustly applied in research and clinical settings.
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Mathiessen A, Ashbeck EL, Huang E, Bedrick EJ, Kwoh CK, Duryea J. Cartilage Topography Assessment With Local-Area Cartilage Segmentation for Knee Magnetic Resonance Imaging. Arthritis Care Res (Hoboken) 2022; 74:2013-2023. [PMID: 34219396 PMCID: PMC8727638 DOI: 10.1002/acr.24745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 06/09/2021] [Accepted: 07/01/2021] [Indexed: 02/05/2023]
Abstract
OBJECTIVE Local-area cartilage segmentation (LACS) software was developed to segment medial femur (MF) cartilage on magnetic resonance imaging (MRI). Our objectives were 1) to extend LACS to the lateral femur (LF), medial tibia (MT), and lateral tibia (LT), 2) to compare LACS to an established manual segmentation method, and 3) to visualize cartilage responsiveness over each cartilage plate. METHODS Osteoarthritis Initiative participants with symptomatic knee osteoarthritis (OA) were selected, including knees selected at random (n = 40) and knees identified with loss of cartilage based on manual segmentation (Chondrometrics GmbH), an enriched sample of 126 knees. LACS was used to segment cartilage in the MF, LF, MT, and LT on sagittal 3D double-echo steady-state MRI scans at baseline and at 2-year follow-up. We compared LACS and Chondrometrics average thickness measures by estimating the correlation in each cartilage plate and estimating the standardized response mean (SRM) for 2-year cartilage change. We illustrated cartilage loss topographically with SRM heatmaps. RESULTS The estimated correlation between LACS and Chondrometrics measures was r = 0.91 (95% confidence interval [95% CI] 0.86, 0.94) for LF, r = 0.93 (95% CI 0.89, 0.95) for MF, r = 0.97 (95% CI 0.96, 0.98) for LT, and r = 0.87 (95% CI 0.81, 0.91) for MT. Estimated SRMs for LACS and Chondrometrics measures were similar in the random sample, and SRM heatmaps identified subregions of LACS-measured cartilage loss. CONCLUSION LACS cartilage thickness measurement in the MF and LF and tibia correlated well with established manual segmentation-based measurement, with similar responsiveness to change, among knees with symptomatic knee OA. LACS measurement of cartilage plate topography enables spatiotemporal analysis of cartilage loss in future knee OA studies.
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Affiliation(s)
- Alexander Mathiessen
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Diakonhjemmet Hospital, Department of Rheumatology, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Erin L. Ashbeck
- University of Arizona Arthritis Center, the University of Arizona College of Medicine, Tucson, AZ, USA
| | - Emily Huang
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Edward John Bedrick
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - C. Kent Kwoh
- University of Arizona Arthritis Center, the University of Arizona College of Medicine, Tucson, AZ, USA
| | - Jeffrey Duryea
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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Identification of JUN as determinant of osteoarthritis and its inhibition by the Chinese herbal formulae Zhuanggu Huoxue Tang. Comput Biol Med 2022; 148:105786. [DOI: 10.1016/j.compbiomed.2022.105786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 06/02/2022] [Accepted: 06/26/2022] [Indexed: 01/15/2023]
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Markhardt BK, Huang BK, Spiker AM, Chang EY. Interpretation of Cartilage Damage at Routine Clinical MRI: How to Match Arthroscopic Findings. Radiographics 2022; 42:1457-1473. [PMID: 35984752 PMCID: PMC9453290 DOI: 10.1148/rg.220051] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/19/2022] [Accepted: 04/25/2022] [Indexed: 11/11/2022]
Abstract
This review is intended to aid in the interpretation of damage to the articular cartilage at routine clinical MRI to improve clinical management. Relevant facets of the histologic and biochemical characteristics and clinical management of cartilage are discussed, as is MRI physics. Characterization of damage to the articular cartilage with MRI demands a detailed understanding of the normal and damaged appearance of the osteochondral unit in the context of different sequence parameters. Understanding the location of the subchondral bone plate is key to determining the depth of the cartilage lesion. Defining the bone plate at MRI is challenging because of the anisotropic fibrous organization of articular cartilage, which is susceptible to the "magic angle" phenomenon and chemical shift artifacts at the interface with the fat-containing medullary cavity. These artifacts may cause overestimation of the thickness of the subchondral bone plate and, therefore, overestimation of the depth of a cartilage lesion. In areas of normal cartilage morphology, isolated hyperintense and hypointense lesions often represent degeneration of cartilage at arthroscopy. Changes in the subchondral bone marrow at MRI also increase the likelihood that cartilage damage will be visualized at arthroscopy, even when a morphologic lesion cannot be resolved, and larger subchondral lesions are associated with higher grades at arthroscopy. The clinical significance of other secondary features of cartilage damage are also reviewed, including osteophytes, intra-articular bodies, and synovitis. Online supplemental material is available for this article. Work of the U.S. Government published under an exclusive license with the RSNA.
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Affiliation(s)
- B. Keegan Markhardt
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention (B.K.M.), and Department of Orthopedic Surgery (A.M.S.),
University of Wisconsin-Madison, Clinical Science Center, 600 Highland Ave,
E3/311, Madison, WI 53792; Department of Radiology, Division of Musculoskeletal
Imaging, University of California, San Diego, La Jolla, Calif (B.K.H., E.Y.C.);
and Radiology Services, Veterans Affairs San Diego Healthcare System
(E.Y.C.)
| | - Brady K. Huang
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention (B.K.M.), and Department of Orthopedic Surgery (A.M.S.),
University of Wisconsin-Madison, Clinical Science Center, 600 Highland Ave,
E3/311, Madison, WI 53792; Department of Radiology, Division of Musculoskeletal
Imaging, University of California, San Diego, La Jolla, Calif (B.K.H., E.Y.C.);
and Radiology Services, Veterans Affairs San Diego Healthcare System
(E.Y.C.)
| | - Andrea M. Spiker
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention (B.K.M.), and Department of Orthopedic Surgery (A.M.S.),
University of Wisconsin-Madison, Clinical Science Center, 600 Highland Ave,
E3/311, Madison, WI 53792; Department of Radiology, Division of Musculoskeletal
Imaging, University of California, San Diego, La Jolla, Calif (B.K.H., E.Y.C.);
and Radiology Services, Veterans Affairs San Diego Healthcare System
(E.Y.C.)
| | - Eric Y. Chang
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention (B.K.M.), and Department of Orthopedic Surgery (A.M.S.),
University of Wisconsin-Madison, Clinical Science Center, 600 Highland Ave,
E3/311, Madison, WI 53792; Department of Radiology, Division of Musculoskeletal
Imaging, University of California, San Diego, La Jolla, Calif (B.K.H., E.Y.C.);
and Radiology Services, Veterans Affairs San Diego Healthcare System
(E.Y.C.)
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Roemer FW, Guermazi A, Demehri S, Wirth W, Kijowski R. Imaging in Osteoarthritis. Osteoarthritis Cartilage 2022; 30:913-934. [PMID: 34560261 DOI: 10.1016/j.joca.2021.04.018] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 04/22/2021] [Accepted: 04/28/2021] [Indexed: 02/02/2023]
Abstract
Osteoarthritis (OA) is the most frequent form of arthritis with major implications on both individual and public health care levels. The field of joint imaging, and particularly magnetic resonance imaging (MRI), has evolved rapidly due to the application of technical advances to the field of clinical research. This narrative review will provide an introduction to the different aspects of OA imaging aimed at an audience of scientists, clinicians, students, industry employees, and others who are interested in OA but who do not necessarily focus on OA. The current role of radiography and recent advances in measuring joint space width will be discussed. The status of cartilage morphology assessment and evaluation of cartilage biochemical composition will be presented. Advances in quantitative three-dimensional morphologic cartilage assessment and semi-quantitative whole-organ assessment of OA will be reviewed. Although MRI has evolved as the most important imaging method used in OA research, other modalities such as ultrasound, computed tomography, and metabolic imaging play a complementary role and will also be discussed.
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Affiliation(s)
- F W Roemer
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, FGH Building, 3rd Floor, 820 Harrison Ave, Boston, MA, 02118, USA; Department of Radiology, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Maximiliansplatz 3, Erlangen, 91054, Germany.
| | - A Guermazi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, FGH Building, 3rd Floor, 820 Harrison Ave, Boston, MA, 02118, USA; Department of Radiology, VA Boston Healthcare System, 1400 VFW Pkwy, Suite 1B105, West Roxbury, MA, 02132, USA
| | - S Demehri
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600 N. Wolf Street, Park 311, Baltimore, MD, 21287, USA
| | - W Wirth
- Institute of Anatomy, Paracelsus Medical University Salzburg, Salzburg, Austria, Nüremberg, Germany; Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Paracelsus Medical University Salzburg, Strubergasse 21, 5020, Salzburg, Austria; Chondrometrics, GmbH, Freilassing, Germany
| | - R Kijowski
- Department of Radiology, New York University Grossmann School of Medicine, 550 1st Avenue, 3nd Floor, New York, NY, 10016, USA
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21
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Oo WM, Hunter DJ. Repurposed and investigational disease-modifying drugs in osteoarthritis (DMOADs). Ther Adv Musculoskelet Dis 2022; 14:1759720X221090297. [PMID: 35619876 PMCID: PMC9128067 DOI: 10.1177/1759720x221090297] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 03/10/2022] [Indexed: 12/12/2022] Open
Abstract
In spite of a major public health burden with increasing prevalence, current osteoarthritis (OA) management is largely palliative with an unmet need for effective treatment. Both industry and academic researchers have invested a vast amount of time and financial expense to discover the first diseasing-modifying osteoarthritis drugs (DMOADs), with no regulatory success so far. In this narrative review, we discuss repurposed drugs as well as investigational agents which have progressed into phase II and III clinical trials based on three principal endotypes: bone-driven, synovitis-driven and cartilage-driven. Then, we will briefly describe the recent failures and lessons learned, promising findings from predefined post hoc analyses and insights gained, novel methodologies to enhance future success and steps underway to overcome regulatory hurdles.
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Affiliation(s)
- Win Min Oo
- Rheumatology Department, Royal North Shore Hospital, and Institute of Bone and Joint Research, Kolling Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Department of Physical Medicine and Rehabilitation, Mandalay General Hospital, University of Medicine, Mandalay, Mandalay, Myanmar
| | - David J. Hunter
- Rheumatology Department, Royal North Shore Hospital, and Institute of Bone and Joint Research, Kolling Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2065, Australia
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22
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Singh A, Venn A, Blizzard L, Jones G, Burgess J, Parameswaran V, Cicuttini F, March L, Eckstein F, Wirth W, Ding C, Antony B. Association between osteoarthritis-related serum biochemical markers over 11 years and knee MRI-based imaging biomarkers in middle-aged adults. Osteoarthritis Cartilage 2022; 30:756-764. [PMID: 35240332 DOI: 10.1016/j.joca.2022.02.616] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 12/20/2021] [Accepted: 02/17/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To describe the associations between osteoarthritis (OA)-related biochemical markers (COMP, MMP-3, HA) and MRI-based imaging biomarkers in middle-aged adults over 10-13 years. METHODS Blood serum samples collected during the Childhood Determinants of Adult Health (CDAH)-1 study (year:2004-06; n = 156) and 10-13 year follow-up at CDAH-3 (n = 167) were analysed for COMP, MMP-3, and HA using non-isotopic ELISA. Knee MRI scans obtained during the CDAH-knee study (year:2008-10; n = 313) were assessed for cartilage volume and thickness, subchondral bone area, cartilage defects, and BML. RESULTS In a multivariable linear regression model describing the association of baseline biochemical markers with MRI-markers (assessed after 4-years), we found a significant negative association of standardised COMP with medial femorotibial compartment cartilage thickness (β:-0.070; 95%CI:-0.138,-0.001), and standardised MMP-3 with patellar cartilage volume (β:-141.548; 95%CI:-254.917,-28.179) and total bone area (β:-0.729; 95%CI:-1.340,-0.118). In multivariable Tobit regression model, there was a significant association of MRI-markers with biochemical markers (assessed after 6-9 years); a significant negative association of patellar cartilage volume (β:-0.001; 95%CI:-0.002,-0.00004), and total bone area (β:-0.158; 95%CI-0.307,-0.010) with MMP-3, and total cartilage volume (β:-0.001; 95%CI:-0.001,-0.0001) and total bone area (β:-0.373; 95%CI:-0.636,-0.111) with COMP. No significant associations were observed between MRI-based imaging biomarkers and HA. CONCLUSION COMP and MMP-3 levels were negatively associated with knee cartilage thickness and volume assessed 4-years later, respectively. Knee cartilage volume and bone area were negatively associated with COMP and MMP-3 levels assessed 6-9 years later. These results suggest that OA-related biochemical markers and MRI-markers are interrelated in early OA.
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Affiliation(s)
- A Singh
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - A Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - L Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - G Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - J Burgess
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Department of Endocrinology, Royal Hobart Hospital, Hobart, Australia
| | - V Parameswaran
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Department of Endocrinology, Royal Hobart Hospital, Hobart, Australia
| | - F Cicuttini
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - L March
- Institute of Bone and Joint Research, Kolling Institute of Medical Research, University of Sydney, Sydney, Australia; Florance and Cope Professorial Rheumatology Department, University of Sydney Royal North Shore Hospital, St Leonards, Sydney, Australia
| | - F Eckstein
- Chondrometrics GmbH, Ainring, Germany; Department of Imaging and Functional Musculoskeletal Research, Institute of Anatomy & Cell Biology, Paracelsus Medical University Salzburg & Nuremberg, Salzburg, Austria; Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Paracelsus Medical University, Salzburg, Austria
| | - W Wirth
- Chondrometrics GmbH, Ainring, Germany; Department of Imaging and Functional Musculoskeletal Research, Institute of Anatomy & Cell Biology, Paracelsus Medical University Salzburg & Nuremberg, Salzburg, Austria; Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Paracelsus Medical University, Salzburg, Austria
| | - C Ding
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia; Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - B Antony
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
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23
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Driban JB, Price LL, LaValley MP, Lo GH, Zhang M, Harkey MS, Canavatchel A, McAlindon TE. Novel Framework for Measuring Whole Knee Osteoarthritis Progression Using Magnetic Resonance Imaging. Arthritis Care Res (Hoboken) 2022; 74:799-808. [PMID: 33202111 PMCID: PMC8631200 DOI: 10.1002/acr.24512] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 10/05/2020] [Accepted: 11/10/2020] [Indexed: 11/07/2022]
Abstract
OBJECTIVE We developed and validated a set of composite scores that combine quantitative magnetic resonance imaging (MRI)-based measurements of hyaline cartilage damage, bone marrow lesions (BMLs), and effusion-synovitis into composite scores. METHODS We selected 300 participants (n = 100 for development cohort; n = 200 for validation cohort) from the Osteoarthritis Initiative with complete clinical, radiographic, and MRI data at baseline and 24 months. We used semiautomated programs to quantify tibiofemoral and patellar cartilage damage, BML volume, and whole-knee effusion-synovitis volume. The candidate composite scores were formed by summing changes from baseline to 24 months based on prespecified methods. We evaluated the candidate composite scores for 1) the ability to differentiate groups with and without knee osteoarthritis progression (17 radiographic and patient-reported definitions), 2) sensitivity to change (standardized response means), and 3) relative performance relating to legacy outcome measures of knee osteoarthritis progression. RESULTS Three of 13 developed composite scores qualified for testing in the validation cohort (ranked by sensitivity to change): whole-knee cumulative cartilage damage, unweighted total knee score, and BML plus effusion-synovitis volume. Change in cumulative cartilage damage associated with radiographic progression (Kellgren/Lawrence grade: odds ratio [OR] 1.84; joint space width progression: OR 2.11). Changes in the unweighted total knee score (OR 1.97) and BML plus effusion-synovitis score (OR 1.92) associated with Western Ontario and McMaster Universities Osteoarthritis Index knee pain progression. CONCLUSION Two composite scores emerged, reflecting discrete domains of knee osteoarthritis progression. First, cumulative damage, which is measured by a whole-knee cartilage damage score, reflects the damage accrued over time. Second, dynamic disease activity, which is measured by a BML plus effusion-synovitis score, relates to changes in a patient's state of disease and symptoms.
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Affiliation(s)
| | - Lori Lyn Price
- Tufts University and Tufts Medical Center, Boston, Massachusetts
| | | | - Grace H Lo
- Baylor College of Medicine, Houston, Texas
| | - Ming Zhang
- Tufts Medical Center, Boston, Massachusetts
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24
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Drake C, Whittaker GA, Kaminski MR, Chen J, Keenan AM, Rathleff MS, Robinson P, Landorf KB. Medical imaging for plantar heel pain: a systematic review and meta-analysis. J Foot Ankle Res 2022; 15:4. [PMID: 35065676 PMCID: PMC8783477 DOI: 10.1186/s13047-021-00507-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 12/22/2021] [Indexed: 01/22/2023] Open
Abstract
Background Medical imaging can be used to assist with the diagnosis of plantar heel pain. The aim of this study was to synthesise medical imaging features associated with plantar heel pain. Methods This systematic review and meta-analysis conducted searches in MEDLINE, CINAHL, SPORTDiscus, Embase and the Cochrane Library from inception to 12th February 2021. Peer-reviewed articles of cross-sectional observational studies written in English that compared medical imaging findings in adult participants with plantar heel pain to control participants without plantar heel pain were included. Study quality and risk of bias was assessed using the National Institutes of Health quality assessment tool for observational cohort and cross-sectional studies. Sensitivity analyses were conducted where appropriate to account for studies that used unblinded assessors. Results Forty-two studies (2928 participants) were identified and included in analyses. Only 21% of studies were rated ‘good’ on quality assessment. Imaging features associated with plantar heel pain included a thickened plantar fascia (on ultrasound and MRI), abnormalities of the plantar fascia (on ultrasound and MRI), abnormalities of adjacent tissue such as a thickened loaded plantar heel fat pad (on ultrasound), and a plantar calcaneal spur (on x-ray). In addition, there is some evidence from more than one study that there is increased hyperaemia within the fascia (on power Doppler ultrasound) and abnormalities of bone in the calcaneus (increased uptake on technetium-99 m bone scan and bone marrow oedema on MRI). Conclusions People with plantar heel pain are more likely to have a thickened plantar fascia, abnormal plantar fascia tissue, a thicker loaded plantar heel fat pad, and a plantar calcaneal spur. In addition, there is some evidence of hyperaemia within the plantar fascia and abnormalities of the calcaneus. Whilst these medical imaging features may aid with diagnosis, additional high-quality studies investigating medical imaging findings for some of these imaging features would be worthwhile to improve the precision of these findings and determine their clinical relevance. Supplementary Information The online version contains supplementary material available at 10.1186/s13047-021-00507-2.
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25
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Omoumi P, Schuler A, Babel H, Stoffel C, Jolles BM, Favre J. Proximal tibial osteophyte volumes are correlated spatially and with knee alignment: a quantitative analysis suggesting the influence of biochemical and mechanical factors in the development of osteophytes. Osteoarthritis Cartilage 2021; 29:1691-1700. [PMID: 34571138 DOI: 10.1016/j.joca.2021.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 08/16/2021] [Accepted: 09/17/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To characterize the differences and correlations in osteophyte volumes between and within proximal tibial compartments, and to assess the correlations between osteophyte volumes and the femorotibial angle. DESIGN CT scans of 73 knees with predominantly medial femorotibial osteoarthritis (21 K/L2, 28 K/L3, 24 K/L4) were retrospectively analyzed using a new, reproducible method measuring total and subregional osteophyte volumes in the medial and lateral compartments. Non-parametric statistics was used for comparison and correlation analyses. RESULTS Total osteophyte volumes were larger in the medial than in the lateral compartment for all severity groups (p < 0.05). Additionally, statistically significant differences were observed among subregions of the lateral compartment in K/L3 and K/L4 knees. Statistically significant positive correlations were found between the medial and lateral total osteophyte volumes in K/L3 and K/L4 knees (ρ ≥ 0.44, p = 0.03), and among most subregional osteophyte volumes within each compartment in K/L3 knees. Markedly fewer statistically significant correlations were present in K/L2 and K/L4 knees. In K/L3 knees, the femorotibial angle was statistically significantly positively correlated with the total osteophyte volume in the medial compartment (ρ = 0.50, p = 0.01), with osteophyte volumes in most medial subregions, and with the osteophyte volume in the lateral posterior subregion (ρ = 0.40, p = 0.05). CONCLUSIONS Quantitative assessment of osteophytes may bring insight on factors influencing their development. Positive correlations of osteophyte volumes found between and within compartments suggest the influence of biochemical mediators acting on the entire joint, while positive correlations between the femorotibial angle and osteophyte volumes suggest a role of mechanical factors. These hypotheses are to be further confirmed.
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Affiliation(s)
- P Omoumi
- Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Department of Diagnostic and Interventional Radiology, Lausanne, Switzerland; Cliniques Universitaires St Luc - UC Louvain, Department of Radiology, Brussels, Belgium.
| | - A Schuler
- Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Department of Musculoskeletal Medicine, Swiss BioMotion Lab, Lausanne, Switzerland
| | - H Babel
- Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Department of Musculoskeletal Medicine, Swiss BioMotion Lab, Lausanne, Switzerland
| | - C Stoffel
- Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Department of Musculoskeletal Medicine, Swiss BioMotion Lab, Lausanne, Switzerland
| | - B M Jolles
- Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Department of Musculoskeletal Medicine, Swiss BioMotion Lab, Lausanne, Switzerland; Ecole Polytechnique Fédérale Lausanne (EPFL), Institute of Microengineering, Lausanne, Switzerland
| | - J Favre
- Ecole Polytechnique Fédérale Lausanne (EPFL), Institute of Microengineering, Lausanne, Switzerland
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Whittaker JL, Runhaar J, Bierma-Zeinstra S, Roos EM. A lifespan approach to osteoarthritis prevention. Osteoarthritis Cartilage 2021; 29:1638-1653. [PMID: 34560260 DOI: 10.1016/j.joca.2021.06.015] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 05/27/2021] [Accepted: 06/18/2021] [Indexed: 02/02/2023]
Abstract
Prevention is an attractive solution for the staggering and increasingly unmanageable burden of osteoarthritis. Despite this, the field of osteoarthritis prevention is relatively immature. To date, most of what is known about preventing osteoarthritis and risk factors for osteoarthritis is relative to the disease (underlying biology and pathophysiology) of osteoarthritis, with few studies considering risk factors for osteoarthritis illness, the force driving the personal, financial and societal burden. In this narrative review we will discuss what is known about osteoarthritis prevention, propose actionable prevention strategies related to obesity and joint injury which have emerged as important modifiable risk factors, identify where evidence is lacking, and give insight into what might be possible in terms of prevention by focussing on a lifespan approach to the illness of osteoarthritis, as opposed to a structural disease of the elderly. By targeting a non-specialist audience including scientists, clinicians, students, industry employees and others that are interested in osteoarthritis but who do not necessarily focus on osteoarthritis, the goal is to generate discourse and motivate inquiry which propel the field of osteoarthritis prevention into the mainstream.
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Affiliation(s)
- J L Whittaker
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Arthritis Research Canada, Canada.
| | - J Runhaar
- Erasmus MC University Medical Center Rotterdam, Department of General Practice, Rotterdam, the Netherlands.
| | - S Bierma-Zeinstra
- Erasmus MC University Medical Center Rotterdam, Department of General Practice, Rotterdam, the Netherlands; Erasmus MC University Medical Center Rotterdam, Department of General Practice, and Department of Orthopaedics, Rotterdam, the Netherlands.
| | - E M Roos
- Department of Sports Science and Clinical Biomechanics, Musculoskeletal Function and Physiotherapy, University of Southern Denmark, Denmark.
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27
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MacKay JW, Watkins L, Gold G, Kogan F. [ 18F]NaF PET-MRI provides direct in-vivo evidence of the association between bone metabolic activity and adjacent synovitis in knee osteoarthritis: a cross-sectional study. Osteoarthritis Cartilage 2021; 29:1155-1162. [PMID: 33975018 PMCID: PMC8319134 DOI: 10.1016/j.joca.2021.04.014] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 03/22/2021] [Accepted: 04/15/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Synovitis is hypothesized to play a role in the development and growth of osteophytes. Our objectives were to use hybrid positron emission tomography-magnetic resonance imaging (PET-MRI) to (1) determine whether synovitis adjacent to peripheral bone subregions with increased metabolic activity is greater than adjacent to regions without increased metabolic activity and (2) assess the association between subregional bone metabolic activity and adjacent synovitis. DESIGN We recruited 11 participants (22 knees) with a diagnosis of OA in at least one knee. Simultaneous bilateral knee PET-MRI was performed. We quantified bone metabolic activity using the radiotracer [18F]sodium fluoride ([18F]NaF) with calculation of maximum standardized uptake values (SUVmax). Synovitis was quantified using dynamic contrast-enhanced MRI with calculation of Ktrans. Bone subregions were coded as osteophyte (OP), focal increased [18F]NaF uptake without osteophyte (FIU), or normal (no osteophyte or FIU). We used robust linear mixed effects models to assess differences in adjacent Ktrans between different subregion types and to assess association between Ktrans and adjacent SUVmax. RESULTS 94 OPs were detected (59 MOAKS grade 1, 30 grade 2, 5 grade 3), along with 28 FIU and 18 normal subregions. Ktrans was higher adjacent to FIU (adjusted mean [95% CI] = 0.06 [0.03,0.09]) and OPs (0.08 [0.05,0.11]) when compared to normal bone subregions (0.03 [0.00,0.09]). PET SUVmax was positively associated with adjacent Ktrans (β[95% CI] = 0.018 [0.008,0.027]). CONCLUSIONS Synovitis is more intense adjacent to peripheral bone regions with increased metabolic activity than those without, although there is some overlap. Subregional bone metabolic activity is positively associated with intensity of adjacent synovitis.
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Affiliation(s)
- J W MacKay
- Radiology, University of Cambridge, United Kingdom; Norwich Medical School, University of East Anglia, United Kingdom.
| | - L Watkins
- Radiology, Stanford University, USA; Bioengineering, Stanford University, USA
| | - G Gold
- Radiology, Stanford University, USA
| | - F Kogan
- Radiology, Stanford University, USA
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Hänninen NE, Nykänen O, Prakash M, Hanni M, Nieminen MT, Nissi MJ. Orientation anisotropy of quantitative MRI parameters in degenerated human articular cartilage. J Orthop Res 2021; 39:861-870. [PMID: 32543737 DOI: 10.1002/jor.24778] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 05/08/2020] [Accepted: 06/12/2020] [Indexed: 02/04/2023]
Abstract
Quantitative magnetic resonance (MR) relaxation parameters demonstrate varying sensitivity to the orientation of the ordered tissues in the magnetic field. In this study, the orientation dependence of multiple relaxation parameters was assessed in cadaveric human cartilage with varying degree of natural degeneration, and compared with biomechanical testing, histological scoring, and quantitative histology. Twelve patellar cartilage samples were imaged at 9.4 T MRI with multiple relaxation parameters, including T1 , T2 , CW - T1ρ , and adiabatic T1ρ , at three different orientations with respect to the main magnetic field. Anisotropy of the relaxation parameters was quantified, and the results were compared with the reference measurements and between samples of different histological Osteoarthritis Research Society International (OARSI) grades. T2 and CW - T1ρ at 400 Hz spin-lock demonstrated the clearest anisotropy patterns. Radial zone anisotropy for T2 was significantly higher for samples with OARSI grade 2 than for grade 4. The proteoglycan content (measured as optical density) correlated with the radial zone MRI orientation anisotropy for T2 (r = 0.818) and CW - T1ρ with 400 Hz spin-lock (r = 0.650). Orientation anisotropy of MRI parameters altered with progressing cartilage degeneration. This is associated with differences in the integrity of the collagen fiber network, but it also seems to be related to the proteoglycan content of the cartilage. Samples with advanced OA had great variation in all biomechanical and histological properties and exhibited more variation in MRI orientation anisotropy than the less degenerated samples. Understanding the background of relaxation anisotropy on a molecular level would help to develop new MRI contrasts and improve the application of previously established quantitative relaxation contrasts.
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Affiliation(s)
- Nina Elina Hänninen
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.,Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Olli Nykänen
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Mithilesh Prakash
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.,A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Matti Hanni
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland.,Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
| | - Miika Tapio Nieminen
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland.,Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
| | - Mikko Johannes Nissi
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.,Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
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Abstract
Importance Osteoarthritis (OA) is the most common joint disease, affecting an estimated more than 240 million people worldwide, including an estimated more than 32 million in the US. Osteoarthritis is the most frequent reason for activity limitation in adults. This Review focuses on hip and knee OA. Observations Osteoarthritis can involve almost any joint but typically affects the hands, knees, hips, and feet. It is characterized by pathologic changes in cartilage, bone, synovium, ligament, muscle, and periarticular fat, leading to joint dysfunction, pain, stiffness, functional limitation, and loss of valued activities, such as walking for exercise and dancing. Risk factors include age (33% of individuals older than 75 years have symptomatic and radiographic knee OA), female sex, obesity, genetics, and major joint injury. Persons with OA have more comorbidities and are more sedentary than those without OA. The reduced physical activity leads to a 20% higher age-adjusted mortality. Several physical examination findings are useful diagnostically, including bony enlargement in knee OA and pain elicited with internal hip rotation in hip OA. Radiographic indicators include marginal osteophytes and joint space narrowing. The cornerstones of OA management include exercises, weight loss if appropriate, and education-complemented by topical or oral nonsteroidal anti-inflammatory drugs (NSAIDs) in those without contraindications. Intra-articular steroid injections provide short-term pain relief and duloxetine has demonstrated efficacy. Opiates should be avoided. Clinical trials have shown promising results for compounds that arrest structural progression (eg, cathepsin K inhibitors, Wnt inhibitors, anabolic growth factors) or reduce OA pain (eg, nerve growth factor inhibitors). Persons with advanced symptoms and structural damage are candidates for total joint replacement. Racial and ethnic disparities persist in the use and outcomes of joint replacement. Conclusions and Relevance Hip and knee OA are highly prevalent and disabling. Education, exercise and weight loss are cornerstones of management, complemented by NSAIDs (for patients who are candidates), corticosteroid injections, and several adjunctive medications. For persons with advanced symptoms and structural damage, total joint replacement effectively relieves pain.
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Affiliation(s)
- Jeffrey N. Katz
- Orthopedic and Arthritis Center for Outcomes Research, Department of Orthopedic Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard Chan School of Public Health, Boston, MA, USA
| | - Kaetlyn R. Arant
- Orthopedic and Arthritis Center for Outcomes Research, Department of Orthopedic Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Richard F. Loeser
- Division of Rheumatology, Allergy and Immunology and the Thurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC, USA
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30
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Lee LS, Chan PK, Fung WC, Chan VWK, Yan CH, Chiu KY. Imaging of knee osteoarthritis: A review of current evidence and clinical guidelines. Musculoskeletal Care 2021; 19:363-374. [PMID: 33387447 DOI: 10.1002/msc.1536] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 12/15/2020] [Accepted: 12/15/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Knee osteoarthritis (OA) is one of the most common and debilitating degenerative joint diseases worldwide. While radiography is the most commonly used imaging modality, it is associated with drawbacks which newer modalities such as magnetic resonance imaging (MRI) and ultrasound could overcome. Nevertheless, the role of imaging in clinical practice and research in knee OA has not been clearly defined. Furthermore, guidelines on imaging in knee OA from different authoritative bodies have not been compared in previous studies. Therefore, the present review aims to summarise existing evidence and compare guidelines on the use of different imaging modalities in evaluating knee OA. METHODS This is a narrative review based on a search of published clinical guidelines and the PubMed database for articles published between 1 January 1990 and 31 May 2020. RESULTS There is no broad consensus on the value of imaging in patients with typical OA presentation. If imaging is required, current evidence and clinical guidelines support the use of radiography and MRI as first- and second-line diagnostic modalities respectively. Since radiographic OA features have limited sensitivity and do not manifest in early stages, MRI is the preferred option for whole-joint evaluation in OA research. Discrepancies exist regarding the use of alternative imaging modalities including ultrasound, computed tomography and nuclear medicine. CONCLUSION Radiography and MRI are the imaging modalities of choice. Other modalities have their respective advantages, and more research is warranted for the standardisation of image acquisition and interpretation methodology, in order to evaluate their validity, reliability and responsiveness in OA research.
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Affiliation(s)
- Lok Sze Lee
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ping Keung Chan
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong SAR, China
| | - Wing Chiu Fung
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Vincent Wai Kwan Chan
- Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong SAR, China
| | - Chun Hoi Yan
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kwong Yuen Chiu
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
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Kanthawang T, Bodden J, Joseph GB, Lane NE, Nevitt M, McCulloch C, Link TM. Obese and overweight individuals have greater knee synovial inflammation and associated structural and cartilage compositional degeneration: data from the osteoarthritis initiative. Skeletal Radiol 2021; 50:217-229. [PMID: 32699956 PMCID: PMC7677197 DOI: 10.1007/s00256-020-03550-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 07/09/2020] [Accepted: 07/13/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE This work aims to study (i) the relationship between body mass index (BMI) and knee synovial inflammation using non-contrast-enhanced MRI and (ii) the association of synovial inflammation versus degenerative abnormalities and pain. MATERIALS AND METHODS Subjects with risk for and mild to moderate radiographic osteoarthritis were selected from the Osteoarthritis Initiative. Subjects were grouped into three BMI categories with 87 subjects per group: normal weight (BMI, 20-24.9 kg/m2), overweight (BMI, 25-29.9 kg/m2), and obese (BMI, ≥ 30 kg/m2), frequency matched for age, sex, race, Kellgren-Lawrence grade, and history of knee surgery and injury. Semi-quantitative synovial inflammation imaging biomarkers were obtained including effusion-synovitis, size and intensity of infrapatellar fat pad signal abnormality, and synovial proliferation score. Cartilage composition was measured using T2 relaxation time and structural abnormalities using the whole-organ magnetic resonance imaging score (WORMS). The Western Ontario and McMasters (WOMAC) Osteoarthritis Index was used for pain assessment. Intra- and inter-reader reproducibility was assessed by kappa values. RESULTS Overweight and obese groups had higher prevalence and severity of all synovial inflammatory markers (p ≤ 0.03). Positive associations were found between synovial inflammation imaging biomarkers and average T2 values, WORMS maximum scores and total WOMAC pain scores (p < 0.05). Intra- and inter-reader kappa values for imaging biomarkers were high (0.76-1.00 and 0.60-0.94, respectively). CONCLUSION Being overweight or obese was significantly associated with a greater prevalence and severity of synovial inflammation imaging biomarkers. Substantial reproducibility and high correlation with knee structural, cartilage compositional degeneration, and WOMAC pain scores validate the synovial inflammation biomarkers used in this study.
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Affiliation(s)
- Thanat Kanthawang
- Department of Radiology and Biomedical Imaging, University of California, San Francisco,Department of Radiology, Faculty of Medicine, Chiang Mai University, Thailand
| | - Jannis Bodden
- Department of Radiology and Biomedical Imaging, University of California, San Francisco,Department of Radiology, Klinikum rechts der Isar, Technical University of Munich, Germany
| | - Gabby B. Joseph
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Nancy E. Lane
- Department of Medicine and Center for Musculoskeletal Health, University of California, Davis, Sacramento, CA, USA
| | - Michael Nevitt
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Charles McCulloch
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Thomas M. Link
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
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Tsubosaka M, Matsumoto T, Sobajima S, Matsushita T, Iwaguro H, Kuroda R. Comparison of Clinical and Imaging Outcomes of Different Doses of Adipose-Derived Stromal Vascular Fraction Cell Treatment for Knee Osteoarthritis. Cell Transplant 2021; 30:9636897211067454. [PMID: 35392685 PMCID: PMC9003644 DOI: 10.1177/09636897211067454] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 11/21/2021] [Accepted: 12/01/2021] [Indexed: 12/14/2022] Open
Abstract
Favorable clinical outcomes of intra-articular injection of adipose-derived stromal vascular fraction (SVF) cells for knee osteoarthritis (OA) have been reported, but the effects of different doses of SVF cells have not been examined. This study aimed to compare the short-term clinical and imaging outcomes of different doses of SVF cells for knee OA treatment. This study included 60 patients with knee OA who underwent intra-articular injection of SVF cells. The follow-up period was at least 12 months. Thirty patients received an intra-articular injection of 2.5×107 SVF cells (low-dose group), and the remaining 30 patients received an intra-articular injection of 5.0×107 SVF cells (high-dose group). Clinical evaluations were performed for the Knee injury and Osteoarthritis Outcome Score (KOOS). Imaging evaluations, including the magnetic resonance imaging Osteoarthritis Knee Score (MOAKS) features (bone marrow lesions, cartilage defects, osteophytes, Hoffa's synovitis, and effusion synovitis), were also performed. All clinical and imaging evaluations were performed preoperatively and 12 months postoperatively and compared between the groups. In demographic data, no significant differences were found between the two groups. The total score of KOOS at 12 months postoperatively was significantly more favorable than the preoperative score in the high-dose groups. Pain and symptoms subscale scores of KOOS at 12 months postoperatively were significantly better in the high-dose group than in the low-dose group. The bone marrow lesions, Hoffa's synovitis, and effusion synovitis improved approximately 30-40% at 12 months postoperatively compared to baseline in both groups. However, there were no significant differences in imaging evaluations between the two groups. In conclusion, the pain and symptoms subscale scores of KOOS from baseline to 12 months postoperatively improved better in the high-dose group than in the low-dose group. Our findings suggest that intra-articular injection of SVF cells for knee OA is an innovative approach.
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Affiliation(s)
- Masanori Tsubosaka
- Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Tomoyuki Matsumoto
- Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Satoshi Sobajima
- Department of Orthopaedic Surgery, Sobajima Clinic, Higashiosaka, Osaka
| | - Takehiko Matsushita
- Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Hideki Iwaguro
- Department of Orthopaedic Surgery, Sobajima Clinic, Higashiosaka, Osaka
| | - Ryosuke Kuroda
- Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan
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Roman-Blas JA, Mendoza-Torres LA, Largo R, Herrero-Beaumont G. Setting up distinctive outcome measures for each osteoarthritis phenotype. Ther Adv Musculoskelet Dis 2020; 12:1759720X20937966. [PMID: 32973934 PMCID: PMC7491224 DOI: 10.1177/1759720x20937966] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 06/05/2020] [Indexed: 12/16/2022] Open
Abstract
Osteoarthritis (OA) is an evolving chronic joint disease with a huge global impact. Given the intricate nature of the etiopathogenesis and subsequent high heterogeneity in the clinical course of OA, it is crucial to discriminate between etiopathogenic endotypes and clinical phenotypes, especially in the early stages of the disease. In this sense, we propose that an OA phenotype should be properly assessed with a set of outcome measures including those specifically related to the main underlying pathophysiological mechanisms. Thus, each OA phenotype can be related to different and clinically meaningful outcomes. OA phenotyping would lead to an adequate patient stratification in well-designed clinical trials and the discovery of precise therapeutic approaches. A significant effort will be required in this field in light of inconclusive results of clinical trials of tissue-targeting agents for the treatment of OA.
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Affiliation(s)
- Jorge A Roman-Blas
- Joint and Bone Research Unit, IIS-Fundacion Jimenez Diaz, UAM, Av. Reyes Catolicos 2, Madrid, 28040, Spain
| | | | - Raquel Largo
- Joint and Bone Research Unit, IIS-Fundacion Jimenez Diaz UAM, Madrid, Spain
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Patterson BE, Culvenor AG, Barton CJ, Guermazi A, Stefanik JJ, Crossley KM. Patient-Reported Outcomes One to Five Years After Anterior Cruciate Ligament Reconstruction: The Effect of Combined Injury and Associations With Osteoarthritis Features Defined on Magnetic Resonance Imaging. Arthritis Care Res (Hoboken) 2020; 72:412-422. [PMID: 30762314 DOI: 10.1002/acr.23854] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 02/12/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Persistent symptoms and poor quality of life (QoL) are common following anterior cruciate ligament reconstruction (ACLR). We aimed to determine the influence of a combined ACL injury (i.e., concomitant meniscectomy and/or arthroscopic chondral defect at the time of ACLR and/or secondary injury/surgery to ACLR knee) and cartilage defects defined on magnetic resonance imaging (MRI), bone marrow lesions (BMLs), and meniscal lesions on patient-reported outcomes 1 to 5 years after ACLR. METHODS A total of 80 participants (50 men; mean ± SD age 32 ± 14 years) completed the Knee Injury and Osteoarthritis Outcome Score (KOOS) and the International Knee Documentation Committee (IKDC) questionnaires as well as a 3T MRI assessment at 1 and 5 years after ACLR. Median patient-reported outcome scores were compared between isolated and combined ACL injuries and with published normative values. Using multivariate regression, we evaluated the association between compartment-specific MRI cartilage, BMLs, and meniscal lesions and patient-reported outcomes at 1 and 5 years. RESULTS Individuals with a combined injury had significantly worse scores in the KOOS subscale of function in sport and recreation (KOOS sport/rec) and in the IKDC questionnaire at 1 year, and worse scores in the KOOS subscales of pain (KOOS pain), symptoms (KOOS symptoms), and QoL (KOOS QoL) and in the IKDC questionnaire at 5 years compared to those with an isolated injury. Although no feature on MRI was associated with patient-reported outcomes cross-sectionally at 1 year, patellofemoral cartilage defects at 1 year were significantly associated with worse 5-year KOOS symptoms (β = -9.79, 95% confidence interval [95% CI] -16.67, -2.91), KOOS sport/rec (β = -7.94, 95% CI -15.27, -0.61), KOOS QoL (β = -8.29, 95% CI -15.28, -1.29), and IKDC (β = -4.79, 95% CI -9.34, -0.24) scores. Patellofemoral cartilage defects at 5 years were also significantly associated with worse 5-year KOOS symptoms (β = -6.86, 95% CI -13.49, -0.24) and KOOS QoL (β = -11.71, 95% CI -19.08, -4.33) scores. CONCLUSION Combined injury and patellofemoral cartilage defects shown on MRI are associated with poorer long-term outcomes. Clinicians should be vigilant and aware of individuals with these injuries, as such individuals may benefit from targeted interventions to improve QoL and optimize symptoms.
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Affiliation(s)
- Brooke E Patterson
- La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Bundoora, Victoria, Australia
| | - Adam G Culvenor
- La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Bundoora, Victoria, Australia, and Paracelsus Medical University, Salzburg, Austria
| | - Christian J Barton
- La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Bundoora, Victoria, Australia
| | - Ali Guermazi
- Boston University School of Medicine, Boston, Massachusetts
| | | | - Kay M Crossley
- La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Bundoora, Victoria, Australia
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Roemer FW, Demehri S, Omoumi P, Link TM, Kijowski R, Saarakkala S, Crema MD, Guermazi A. State of the Art: Imaging of Osteoarthritis—Revisited 2020. Radiology 2020; 296:5-21. [DOI: 10.1148/radiol.2020192498] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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36
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Leung K, Zhang B, Tan J, Shen Y, Geras KJ, Babb JS, Cho K, Chang G, Deniz CM. Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative. Radiology 2020; 296:584-593. [PMID: 32573386 DOI: 10.1148/radiol.2020192091] [Citation(s) in RCA: 111] [Impact Index Per Article: 22.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background The methods for assessing knee osteoarthritis (OA) do not provide enough comprehensive information to make robust and accurate outcome predictions. Purpose To develop a deep learning (DL) prediction model for risk of OA progression by using knee radiographs in patients who underwent total knee replacement (TKR) and matched control patients who did not undergo TKR. Materials and Methods In this retrospective analysis that used data from the OA Initiative, a DL model on knee radiographs was developed to predict both the likelihood of a patient undergoing TKR within 9 years and Kellgren-Lawrence (KL) grade. Study participants included a case-control matched subcohort between 45 and 79 years. Patients were matched to control patients according to age, sex, ethnicity, and body mass index. The proposed model used a transfer learning approach based on the ResNet34 architecture with sevenfold nested cross-validation. Receiver operating characteristic curve analysis and conditional logistic regression assessed model performance for predicting probability and risk of TKR compared with clinical observations and two binary outcome prediction models on the basis of radiographic readings: KL grade and OA Research Society International (OARSI) grade. Results Evaluated were 728 participants including 324 patients (mean age, 64 years ± 8 [standard deviation]; 222 women) and 324 control patients (mean age, 64 years ± 8; 222 women). The prediction model based on DL achieved an area under the receiver operating characteristic curve (AUC) of 0.87 (95% confidence interval [CI]: 0.85, 0.90), outperforming a baseline prediction model by using KL grade with an AUC of 0.74 (95% CI: 0.71, 0.77; P < .001). The risk for TKR increased with probability that a person will undergo TKR from the DL model (odds ratio [OR], 7.7; 95% CI: 2.3, 25; P < .001), KL grade (OR, 1.92; 95% CI: 1.17, 3.13; P = .009), and OARSI grade (OR, 1.20; 95% CI: 0.41, 3.50; P = .73). Conclusion The proposed deep learning model better predicted risk of total knee replacement in osteoarthritis than did binary outcome models by using standard grading systems. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Richardson in this issue.
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Affiliation(s)
- Kevin Leung
- From the Courant Institute of Mathematical Sciences (K.L., K.C.) and Center for Data Science (B.Z., J.T., Y.S., K.J.G., K.C.), New York University, New York, NY; The Bernard and Irene Schwartz Center for Biomedical Imaging (K.J.G., J.S.B., C.M.D.) and Department of Radiology (K.J.G., J.S.B., G.C., C.M.D.), New York University Langone Health, 660 1st Ave, New York, NY 10016
| | - Bofei Zhang
- From the Courant Institute of Mathematical Sciences (K.L., K.C.) and Center for Data Science (B.Z., J.T., Y.S., K.J.G., K.C.), New York University, New York, NY; The Bernard and Irene Schwartz Center for Biomedical Imaging (K.J.G., J.S.B., C.M.D.) and Department of Radiology (K.J.G., J.S.B., G.C., C.M.D.), New York University Langone Health, 660 1st Ave, New York, NY 10016
| | - Jimin Tan
- From the Courant Institute of Mathematical Sciences (K.L., K.C.) and Center for Data Science (B.Z., J.T., Y.S., K.J.G., K.C.), New York University, New York, NY; The Bernard and Irene Schwartz Center for Biomedical Imaging (K.J.G., J.S.B., C.M.D.) and Department of Radiology (K.J.G., J.S.B., G.C., C.M.D.), New York University Langone Health, 660 1st Ave, New York, NY 10016
| | - Yiqiu Shen
- From the Courant Institute of Mathematical Sciences (K.L., K.C.) and Center for Data Science (B.Z., J.T., Y.S., K.J.G., K.C.), New York University, New York, NY; The Bernard and Irene Schwartz Center for Biomedical Imaging (K.J.G., J.S.B., C.M.D.) and Department of Radiology (K.J.G., J.S.B., G.C., C.M.D.), New York University Langone Health, 660 1st Ave, New York, NY 10016
| | - Krzysztof J Geras
- From the Courant Institute of Mathematical Sciences (K.L., K.C.) and Center for Data Science (B.Z., J.T., Y.S., K.J.G., K.C.), New York University, New York, NY; The Bernard and Irene Schwartz Center for Biomedical Imaging (K.J.G., J.S.B., C.M.D.) and Department of Radiology (K.J.G., J.S.B., G.C., C.M.D.), New York University Langone Health, 660 1st Ave, New York, NY 10016
| | - James S Babb
- From the Courant Institute of Mathematical Sciences (K.L., K.C.) and Center for Data Science (B.Z., J.T., Y.S., K.J.G., K.C.), New York University, New York, NY; The Bernard and Irene Schwartz Center for Biomedical Imaging (K.J.G., J.S.B., C.M.D.) and Department of Radiology (K.J.G., J.S.B., G.C., C.M.D.), New York University Langone Health, 660 1st Ave, New York, NY 10016
| | - Kyunghyun Cho
- From the Courant Institute of Mathematical Sciences (K.L., K.C.) and Center for Data Science (B.Z., J.T., Y.S., K.J.G., K.C.), New York University, New York, NY; The Bernard and Irene Schwartz Center for Biomedical Imaging (K.J.G., J.S.B., C.M.D.) and Department of Radiology (K.J.G., J.S.B., G.C., C.M.D.), New York University Langone Health, 660 1st Ave, New York, NY 10016
| | - Gregory Chang
- From the Courant Institute of Mathematical Sciences (K.L., K.C.) and Center for Data Science (B.Z., J.T., Y.S., K.J.G., K.C.), New York University, New York, NY; The Bernard and Irene Schwartz Center for Biomedical Imaging (K.J.G., J.S.B., C.M.D.) and Department of Radiology (K.J.G., J.S.B., G.C., C.M.D.), New York University Langone Health, 660 1st Ave, New York, NY 10016
| | - Cem M Deniz
- From the Courant Institute of Mathematical Sciences (K.L., K.C.) and Center for Data Science (B.Z., J.T., Y.S., K.J.G., K.C.), New York University, New York, NY; The Bernard and Irene Schwartz Center for Biomedical Imaging (K.J.G., J.S.B., C.M.D.) and Department of Radiology (K.J.G., J.S.B., G.C., C.M.D.), New York University Langone Health, 660 1st Ave, New York, NY 10016
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Dório M, Hunter DJ, Collins JE, Asher R, Eckstein F, Guermazi A, Roemer FW, Deveza LA. Association of baseline and change in tibial and femoral cartilage thickness and development of widespread full-thickness cartilage loss in knee osteoarthritis - data from the Osteoarthritis Initiative. Osteoarthritis Cartilage 2020; 28:811-818. [PMID: 32240744 DOI: 10.1016/j.joca.2020.03.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 02/23/2020] [Accepted: 03/20/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To investigate whether baseline cartilage thickness and its longitudinal change are associated with incident widespread full-thickness cartilage loss (wsFTCL) in knee osteoarthritis, and whether there are optimal cut-off values for predicting wsFTCL. METHODS Central medial tibial (cMT) and femoral (cMF) cartilage were assessed using quantitative magnetic resonance imaging data from the Osteoarthritis Initiative cohort (N = 600 knees). Cartilage thickness was measured at baseline and 12 months. wsFTCL was defined semi-quantitatively (scores 2 and 3 from the MRI Osteoarthritis Knee Score) and its incidence at 24 months recorded. Logistic regression was used to determine the odds of developing wsFTCL for baseline and for each 0.1 mm decrease in cartilage thickness. Cut-off values were investigated using the minimal-p method and area under the Receiver Operating Characteristic curves (AUC). RESULTS Incident wsFTCL was observed in 66 (12%) and 73 (14%) knees in cMT and cMF, respectively. Lower baseline cMT and cMF cartilage thickness values were associated with wsFTCL (OR = 1.20; 95% CI: 1.11, 1.28 and OR = 1.15; 95% CI: 1.06 to 1.24, respectively). Optimal cut-off AUCs for the tibia and femur were 0.64 (0.57-0.70) and 0.63 (0.57-0.69), respectively. Longitudinal decrease in femoral, but not tibial, cartilage thickness was associated with incident wsFTCL (OR = 1.77; 95% CI: 1.30 to 2.40); optimal cut-off AUC 0.65 (95% CI: 0.58-0.72). CONCLUSION Lower baseline cMT and baseline/change (decrease) over 12 months in cMF cartilage thickness were associated with incident, location-specific, wsFTCL at 24 months. Optimal cut-off values were relatively low and of uncertain utility for predicting incident wsFTCL.
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Affiliation(s)
- M Dório
- Division of Rheumatology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
| | - D J Hunter
- Rheumatology Department, Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Sydney, New South Wales, Australia.
| | - J E Collins
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - R Asher
- NHMRC Clinical Trials Centre, The University of Sydney, Australia.
| | - F Eckstein
- Department of Imaging & Functional Musculoskeletal Research, Institute of Anatomy and Cell Biology, Paracelsus Medical University, Salzburg & Nuremberg, Salzburg, Austria; Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Paracelsus Medical University, Salzburg, Austria; Chondrometrics GmbH, Ainring, Germany.
| | - A Guermazi
- Department of Radiology, Boston University School of Medicine, Boston, MA, USA.
| | - F W Roemer
- Department of Radiology, Boston University School of Medicine, Boston, MA, USA; Department of Radiology, University of Erlangen-Nuremberg, Erlangen, Germany.
| | - L A Deveza
- Rheumatology Department, Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Sydney, New South Wales, Australia.
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Driban JB, Harkey MS, Barbe MF, Ward RJ, MacKay JW, Davis JE, Lu B, Price LL, Eaton CB, Lo GH, McAlindon TE. Risk factors and the natural history of accelerated knee osteoarthritis: a narrative review. BMC Musculoskelet Disord 2020; 21:332. [PMID: 32471412 PMCID: PMC7260785 DOI: 10.1186/s12891-020-03367-2] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 05/25/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Osteoarthritis is generally a slowly progressive disorder. However, at least 1 in 7 people with incident knee osteoarthritis develop an abrupt progression to advanced-stage radiographic disease, many within 12 months. We summarize what is known - primarily based on findings from the Osteoarthritis Initiative - about the risk factors and natural history of accelerated knee osteoarthritis (AKOA) - defined as a transition from no radiographic knee osteoarthritis to advanced-stage disease < 4 years - and put these findings in context with typical osteoarthritis (slowly progressing disease), aging, prior case reports/series, and relevant animal models. Risk factors in the 2 to 4 years before radiographic manifestation of AKOA (onset) include older age, higher body mass index, altered joint alignment, contralateral osteoarthritis, greater pre-radiographic disease burden (structural, symptoms, and function), or low fasting glucose. One to 2 years before AKOA onset people often exhibit rapid articular cartilage loss, larger bone marrow lesions and effusion-synovitis, more meniscal pathology, slower chair-stand or walking pace, and increased global impact of arthritis than adults with typical knee osteoarthritis. Increased joint symptoms predispose a person to new joint trauma, which for someone who develops AKOA is often characterized by a destabilizing meniscal tear (e.g., radial or root tear). One in 7 people with AKOA onset subsequently receive a knee replacement during a 9-year period. The median time from any increase in radiographic severity to knee replacement is only 2.3 years. Despite some similarities, AKOA is different than other rapidly progressive arthropathies and collapsing these phenomena together or extracting results from one type of osteoarthritis to another should be avoided until further research comparing these types of osteoarthritis is conducted. Animal models that induce meniscal damage in the presence of other risk factors or create an incongruent distribution of loading on joints create an accelerated form of osteoarthritis compared to other models and may offer insights into AKOA. CONCLUSION Accelerated knee osteoarthritis is unique from typical knee osteoarthritis. The incidence of AKOA in the Osteoarthritis Initiative and Chingford Study is substantial. AKOA needs to be taken into account and studied in epidemiologic studies and clinical trials.
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Affiliation(s)
- Jeffrey B Driban
- Division of Rheumatology, Allergy & Immunology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA.
| | - Matthew S Harkey
- Division of Rheumatology, Allergy & Immunology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA.,Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - Mary F Barbe
- Department of Anatomy and Cell Biology, Temple University School of Medicine, 3500 North Broad Street, Philadelphia, PA, 19140, USA
| | - Robert J Ward
- Department of Radiology, Tufts Medical Center, 800 Washington Street, Boston, MA, 02111, USA
| | - James W MacKay
- Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Level 5, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK.,Department of Radiology, Norwich Medical School, University of East Anglia, Research Park NR4 7U1, Norwich, UK
| | - Julie E Davis
- Milken Institute of Public Health, The George Washington University, 950 New Hampshire Ave NW, Washington, DC, 20052, USA
| | - Bing Lu
- Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street PBB-B3, Boston, MA, 02115, USA
| | - Lori Lyn Price
- The Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box #63, Boston, MA, 02111, USA.,Tufts Clinical and Translational Science Institute, Tufts University, 800 Washington Street, Box #63, Boston, MA, 02111, USA
| | - Charles B Eaton
- Center for Primary Care and Prevention, Alpert Medical School of Brown University, 111 Brewster Street, Pawtucket, RI, 02860, USA
| | - Grace H Lo
- Medical Care Line and Research Care Line, Houston Health Services Research and Development (HSR&D) Center of Excellence Michael E. DeBakey VAMC, Houston, TX, USA.,Section of Immunology, Allergy, and Rheumatology, Baylor College of Medicine, Houston, TX. 1 Baylor Plaza, BCM-285, Houston, TX, 77030, USA
| | - Timothy E McAlindon
- Division of Rheumatology, Allergy & Immunology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA
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Harkey MS, Davis JE, Price LL, Ward RJ, MacKay JW, Eaton CB, Lo GH, Barbe MF, Zhang M, Pang J, Stout AC, Lu B, McAlindon TE, Driban JB. Composite quantitative knee structure metrics predict the development of accelerated knee osteoarthritis: data from the osteoarthritis initiative. BMC Musculoskelet Disord 2020; 21:299. [PMID: 32404099 PMCID: PMC7222452 DOI: 10.1186/s12891-020-03338-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 05/08/2020] [Indexed: 11/24/2022] Open
Abstract
Background We aimed to determine if composite structural measures of knee osteoarthritis (KOA) progression on magnetic resonance (MR) imaging can predict the radiographic onset of accelerated knee osteoarthritis. Methods We used data from a nested case-control study among participants from the Osteoarthritis Initiative without radiographic KOA at baseline. Participants were separated into three groups based on radiographic disease progression over 4 years: 1) accelerated (Kellgren-Lawrence grades [KL] 0/1 to 3/4), 2) typical (increase in KL, excluding accelerated osteoarthritis), or 3) no KOA (no change in KL). We assessed tibiofemoral cartilage damage (four regions: medial/lateral tibia/femur), bone marrow lesion (BML) volume (four regions: medial/lateral tibia/femur), and whole knee effusion-synovitis volume on 3 T MR images with semi-automated programs. We calculated two MR-based composite scores. Cumulative damage was the sum of standardized cartilage damage. Disease activity was the sum of standardized volumes of effusion-synovitis and BMLs. We focused on annual images from 2 years before to 2 years after radiographic onset (or a matched time for those without knee osteoarthritis). To determine between group differences in the composite metrics at all time points, we used generalized linear mixed models with group (3 levels) and time (up to 5 levels). For our prognostic analysis, we used multinomial logistic regression models to determine if one-year worsening in each composite metric change associated with future accelerated knee osteoarthritis (odds ratios [OR] based on units of 1 standard deviation of change). Results Prior to disease onset, the accelerated KOA group had greater average disease activity compared to the typical and no KOA groups and this persisted up to 2 years after disease onset. During a pre-radiographic disease period, the odds of developing accelerated KOA were greater in people with worsening disease activity [versus typical KOA OR (95% confidence interval [CI]): 1.58 (1.08 to 2.33); versus no KOA: 2.39 (1.55 to 3.71)] or cumulative damage [versus typical KOA: 1.69 (1.14 to 2.51); versus no KOA: 2.11 (1.41 to 3.16)]. Conclusions MR-based disease activity and cumulative damage metrics may be prognostic markers to help identify people at risk for accelerated onset and progression of knee osteoarthritis.
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Affiliation(s)
- Matthew S Harkey
- Division of Rheumatology, Allergy, & Immunology, Tufts Medical Center, 800 Washington Street, Box 406, Boston, MA, 02111, USA. .,Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
| | - Julie E Davis
- Department of Global Health in the Milken Institute of Public Health, George Washington University, Washington, DC, USA
| | - Lori Lyn Price
- The Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.,Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA, USA
| | - Robert J Ward
- Department of Radiology, Tufts Medical Center, Boston, MA, USA
| | - James W MacKay
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Charles B Eaton
- Center for Primary Care and Prevention, Alpert Medical School of Brown University, Pawtucket, RI, USA
| | - Grace H Lo
- Medical Care Line and Research Care Line, Houston Health Services Research and Development Center of Excellence Michael E. DeBakey VAMC, Houston, TX, USA.,Section of Immunology, Allergy, and Rheumatology, Baylor College of Medicine, Houston, TX, USA
| | - Mary F Barbe
- Department of Anatomy and Cell Biology, Temple University School of Medicine, Philadelphia, PA, USA
| | - Ming Zhang
- Division of Rheumatology, Allergy, & Immunology, Tufts Medical Center, 800 Washington Street, Box 406, Boston, MA, 02111, USA.,Department of Computer Science & Networking, Wentworth Institute of Technology, Boston, MA, USA
| | | | - Alina C Stout
- Public Health Institute, Northeastern University, Boston, MA, USA
| | - Bing Lu
- Division of Rheumatology, Immunology & Allergy, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Timothy E McAlindon
- Division of Rheumatology, Allergy, & Immunology, Tufts Medical Center, 800 Washington Street, Box 406, Boston, MA, 02111, USA
| | - Jeffrey B Driban
- Division of Rheumatology, Allergy, & Immunology, Tufts Medical Center, 800 Washington Street, Box 406, Boston, MA, 02111, USA
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Conaghan PG, Cook AD, Hamilton JA, Tak PP. Therapeutic options for targeting inflammatory osteoarthritis pain. Nat Rev Rheumatol 2020; 15:355-363. [PMID: 31068673 DOI: 10.1038/s41584-019-0221-y] [Citation(s) in RCA: 254] [Impact Index Per Article: 50.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Pain is the major symptom of osteoarthritis (OA) and is an important factor in strategies to manage this disease. However, the current standard of care does not provide satisfactory pain relief for many patients. The pathophysiology of OA is complex, and its presentation as a clinical syndrome is associated with pathologies of multiple joint tissues. Inflammation is associated with both OA pain and disease outcome and is therefore a major treatment target for OA and OA pain. Unlike TNF inhibitors and IL-1 inhibitors, established drugs such as glucocorticoids and methotrexate can reduce OA pain. Although central nociceptive pathways contribute to OA pain, crosstalk between the immune system and nociceptive neurons is central to inflammatory pain; therefore, new therapies might target this crosstalk. Newly identified drug targets, including neurotrophins and the granulocyte-macrophage colony-stimulating factor (GM-CSF)-CC-chemokine ligand 17 (CCL17) chemokine axis, offer the hope of better results but require clinical validation.
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Affiliation(s)
- Philip G Conaghan
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, and National Institute of Health Research Leeds Biomedical Research Centre, Leeds, UK
| | - Andrew D Cook
- The University of Melbourne, Department of Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - John A Hamilton
- The University of Melbourne, Department of Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia.,Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, Victoria, Australia
| | - Paul P Tak
- Department of Clinical Immunology & Rheumatology, Academic Medical Centre, Amsterdam University Medical Centre, Amsterdam, Netherlands. .,Department of Rheumatology, Ghent University, Ghent, Belgium. .,Department of Medicine, Cambridge University, Cambridge, UK. .,Flagship Pioneering, Cambridge, MA, USA.
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Shakoor D, Demehri S, Roemer FW, Loeuille D, Felson DT, Guermazi A. Are contrast-enhanced and non-contrast MRI findings reflecting synovial inflammation in knee osteoarthritis: a meta-analysis of observational studies. Osteoarthritis Cartilage 2020; 28:126-136. [PMID: 31678664 DOI: 10.1016/j.joca.2019.10.008] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 09/30/2019] [Accepted: 10/14/2019] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine the correlation between knee synovitis assessed on contrast-enhanced (CE) and non-contrast enhanced (NCE) magnetic resonance imaging (MRI) with histology in patients with knee osteoarthritis. METHODS A comprehensive literature search was performed, and related articles published through July 2018 were extracted. Spearman correlation coefficients of MRI-based scores with histology reports were pooled using random effects model. To evaluate presence of publication bias, Egger test was performed. RESULTS Of 2377 identified records, eight studies consisting of 246 MRI exams were included. Two studies reported results of dynamic CE (DCE)-MRI examinations (81 knees) and two studies reported results of NCE-MRI. There were moderate positive correlations between CE-MRI scores and macroscopic (r = 0.53 (95% Confidence Interval (CI):0.37-0.66), P < 0.001) as well as microscopic (r = 0.56 (0.39-0.69), P < 0.001) histology. DCE-MRI were strongly correlated (r = 0.71 (0.58-0.80), P-value<0.001), with microscopic histology reports, while the correlation for NCE-MRI was low positive (r = 0.44 (0.20-0.63), P < 0.001). Meta-regression analysis showed that pooled correlation coefficients of DCE-MRI were significantly higher than CE-MRI (Slope = 0.29, SE = 0.13, P-value = 0.02). CE-MRI were also correlated with inflammatory infiltrate (r = 0.42), while the correlations for cell number of synovial lining (r = 0.27) and level of fibrosis (r = 0.29, P < 0.001) were very low. CONCLUSION Static and dynamic CE-MRI evaluation of knee synovitis were positively correlated with macroscopic and microscopic features of synovial membrane inflammation. Among the features of synovial tissue inflammation, CE-MRI scores correlated best with the inflammatory infiltrates of synovial tissue. Paucity of current evidence warrants further studies to assess performance of NCE-MRI on determining knee synovitis.
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Affiliation(s)
- D Shakoor
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 601 N Caroline St, JHOC, Baltimore, MD, 21287, USA; Department of Internal Medicine, St Agnes Hospital, 900 Caton Avenue, Baltimore, MD, 21229, USA.
| | - S Demehri
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 601 N Caroline St, JHOC, Baltimore, MD, 21287, USA
| | - F W Roemer
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, 02118, USA; Department of Radiology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - D Loeuille
- Department of Rheumatology and INSERM, CIC-EC CIE6, University Hospital of Nancy, Epidemiology and Clinical Evaluation, 54500, Vandoeuvre-lès-Nancy, France
| | - D T Felson
- Clinical Epidemiology Research & Training Unit, Boston University School of Medicine, Boston, MA, 02118, USA
| | - A Guermazi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, 02118, USA
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Chio CC, Siu MK, Tai YT, Chen TG, Ho WP, Chen JT, Tsai HC, Chen RM. Renal insufficiency plays a crucial association factor in severe knee osteoarthritis-induced pain in patients with total knee replacement: A retrospective study. Medicine (Baltimore) 2020; 99:e19125. [PMID: 32028438 PMCID: PMC7015635 DOI: 10.1097/md.0000000000019125] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Pain, the main symptom of osteoarthritis (OA), can lead to functional disability in patients with knee OA. Understanding the association factors related to knee pain is important since preventing OA-induced disabilities can be achieved by modifying these pain-associated issues. Therefore, this study was aimed to investigate the association factors for OA-induced knee pain in Taiwanese patients who received total knee replacements (TKR).In this retrospective study, 357 subjects who had undergone TKR at the Taipei Municipal Wan-Fang Hospital were recruited. The distribution of pain severity among patients with knee OA was evaluated. Demographic data and clinical parameters were analyzed to determine relationships between these variables and the severity of knee OA pain.Of the 357 patients studied, 54% and 33% had moderate and severe knee pain, respectively. Furthermore, a multivariate logistic regression analysis revealed that serum creatinine (>1.5 mg/dL) and an estimated glomerular filtration rate (eGFR) (<60 mL/min/1.73 m) were significantly associated with severe knee pain in OA patients. A significant correlation between severe knee pain and serum creatinine or eGFR was demonstrated by Pearson correlations.Taken together, the renal insufficiency defined by an elevated serum creatinine or a low eGFR in OA patients who required TKR was associated with severe knee pain. These variables must be considered while treating knee OA pain, especially in those patients with severe pain.
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Affiliation(s)
- Chung-Ching Chio
- Department of Neurosurgery, Chi Mei Medical Center, Tainan
- Cell Physiology and Molecular Image Research Center, Wan Fang Hospital
| | - Man-Kit Siu
- Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Department of Anesthesiology, Centro Hospitalar Conde de Sáo Januário, Macau Special Administrative Region, China
| | - Yu-Ting Tai
- Department of Anesthesiology, Wan-Fang Hospital
| | | | - Wei-Pin Ho
- Cell Physiology and Molecular Image Research Center, Wan Fang Hospital
| | - Jui-Tai Chen
- Department of Anesthesiology, Shuang Ho Hospital
| | - Hsiao-Chien Tsai
- Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Anesthesiology and Health Policy Research Center, Taipei Medical University Hospital, Taipei Medical University
| | - Ruei-Ming Chen
- Cell Physiology and Molecular Image Research Center, Wan Fang Hospital
- Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Anesthesiology and Health Policy Research Center, Taipei Medical University Hospital, Taipei Medical University
- TMU Research Center of Cancer Translational Medicine, Taipei, Taiwan
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Sofat N, Ejindu V, Heron C, Harrison A, Koushesh S, Assi L, Kuttapitiya A, Whitley GS, Howe FA. Biomarkers in Painful Symptomatic Knee OA Demonstrate That MRI Assessed Joint Damage and Type II Collagen Degradation Products Are Linked to Disease Progression. Front Neurosci 2019; 13:1016. [PMID: 31680799 PMCID: PMC6803383 DOI: 10.3389/fnins.2019.01016] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 09/06/2019] [Indexed: 01/01/2023] Open
Abstract
Background Osteoarthritis (OA) is the most prevalent arthritis worldwide, but the evolution of pain in relation to joint damage and biochemical markers are not well understood. We evaluated the relation between clinical pain measures and evoked pain in relation to structural damage and biochemical biomarkers in knee OA. Methods A cross-sectional study in people with knee OA and healthy controls was conducted. A total of 130 participants with advanced OA requiring total knee replacement (TKR) (n = 78), mild OA having standard care (n = 42) and non-OA controls (n = 6), with four drop-outs were assessed. Pain scoring was performed by the Western Ontario and McMaster Universities OA Index (WOMAC_P) and the Visual Analog Scale (VAS). Pain sensitization was assessed by pain pressure thresholds (PPTs). Knee magnetic resonance imaging (MRI) assessed joint damage using the MRI Knee OA Score (MOAKS). Overall MOAKS scores were created for bone marrow lesions (BMLs), cartilage degradation (CD), and effusion/Hoffa synovitis (tSyn). Type II collagen cleavage products (CTX-II) were determined by ELISA. Results The advanced OA group had a mean age of 68.9 ± 7.7 years and the mild group 63.1 ± 9.6. The advanced OA group had higher levels of pain, with mean WOMAC_P of 58.8 ± 21.7 compared with the mild OA group of 40.6 ± 26.0. All OA subjects had pain sensitization by PPT compared with controls (p < 0.05). WOMAC_P correlated with the total number of regions with cartilage damage (nCD) (R = 0.225, p = 0.033) and total number of BMLs (nBML) (R = 0.195, p = 0.065) using body mass index (BMI), age, and Hospital Anxiety and Depression Scale (HADS) as covariates. Levels of CTX-II correlated with tSyn (R = 0.313, p = 0.03), nBML (R = 0.252, p = 0.019), number of osteophytes (R = 0.33, p = 0.002), and nCD (R = 0.218, p = 0.042), using BMI and age as covariates. A multivariate analysis indicated that BMI and HADS were the most significant predictors of pain scores (p < 0.05). Conclusion People with both mild and advanced OA show features of pain sensitization. We found that increasing MRI-detected joint damage was associated with higher levels of CTX-II, suggesting that increasing disease severity can be assessed by MRI and CTX-II biomarkers to evaluate OA disease progression.
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Affiliation(s)
- Nidhi Sofat
- Institute for Infection and Immunity, St George's University of London, London, United Kingdom.,St George's University Hospitals NHS Foundation Trust, London, United Kingdom
| | - Vivian Ejindu
- St George's University Hospitals NHS Foundation Trust, London, United Kingdom
| | - Christine Heron
- St George's University Hospitals NHS Foundation Trust, London, United Kingdom
| | - Abiola Harrison
- Institute for Infection and Immunity, St George's University of London, London, United Kingdom
| | - Soraya Koushesh
- Institute for Infection and Immunity, St George's University of London, London, United Kingdom
| | - Lena Assi
- Institute for Infection and Immunity, St George's University of London, London, United Kingdom
| | - Anasuya Kuttapitiya
- Institute for Infection and Immunity, St George's University of London, London, United Kingdom
| | - Guy S Whitley
- Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom
| | - Franklyn A Howe
- Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom
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Driban JB, Davis JE, Lu B, Price LL, Ward RJ, MacKay JW, Eaton CB, Lo GH, Barbe MF, Zhang M, Pang J, Stout AC, Harkey MS, McAlindon TE. Accelerated Knee Osteoarthritis Is Characterized by Destabilizing Meniscal Tears and Preradiographic Structural Disease Burden. Arthritis Rheumatol 2019; 71:1089-1100. [PMID: 30592385 DOI: 10.1002/art.40826] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 12/20/2018] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To determine whether accelerated knee osteoarthritis (KOA) is preceded by, and characterized over time by, destabilizing meniscal tears or other pathologic changes. METHODS We selected 3 sex-matched groups of subjects from the first 48 months of the Osteoarthritis Initiative, comprising adults who had a knee without KOA (Kellgren/Lawrence [K/L] radiographic grade <2) at baseline. Subjects in the accelerated KOA group developed KOA of K/L grade ≥3, those with typical KOA showed increased K/L radiographic scores, and those with no KOA had the same K/L grade over time. An index visit was the visit when the radiographic criteria for accelerated KOA and typical KOA were met (the no KOA group was matched to the accelerated KOA group). The observation period was up to 2 years before and after an index visit. Radiologists reviewed magnetic resonance (MR) images of the index knee and identified destabilizing meniscal tears (root tears, radial tears, complex tears), miscellaneous pathologic features (acute ligamentous or tendinous injuries, attrition, subchondral insufficiency fractures, other incidental findings), and meniscal damage in >2 of 6 regions (3 regions per meniscus: anterior horn, body, posterior horn). In addition, bone marrow lesions (BMLs) and cartilage damage on MR images were quantified. Linear mixed regression models were performed to analyze the results. RESULTS At 1 year before the index visit, >75% of adults with accelerated KOA had meniscal damage in ≥2 regions (odds ratio 3.19 [95% confidence interval 1.70-5.97] versus adults with typical KOA). By the index visit, meniscal damage in ≥2 regions was ubiquitous in adults with accelerated KOA, including 42% of subjects having evidence of a destabilizing meniscal tear (versus 14% of subjects with typical KOA). These changes corresponded to findings of larger BMLs and greater cartilage loss in the accelerated KOA group. CONCLUSION Accelerated KOA is characterized by destabilizing meniscal tears in a knee compromised by meniscal damage in >2 regions, and also characterized by the presence of large BMLs and greater cartilage loss.
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Affiliation(s)
| | | | - Bing Lu
- Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Lori Lyn Price
- Tufts Medical Center and Tufts University, Boston, Massachusetts
| | | | - James W MacKay
- University of Cambridge School of Clinical Medicine, Addenbrooke's Hospital, Cambridge, UK
| | - Charles B Eaton
- Alpert Medical School of Brown University, Pawtucket, Rhode Island
| | - Grace H Lo
- Baylor College of Medicine and Michael E. DeBakey VAMC, Houston, Texas
| | - Mary F Barbe
- Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
| | - Ming Zhang
- Tufts Medical Center, Boston, Massachusetts
| | | | | | - Matthew S Harkey
- Tufts Medical Center, Boston, Massachusetts, and University of Massachusetts Medical School, Worcester
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Rego-Pérez I, Blanco FJ, Roemer FW, Guermazi A, Ran D, Ashbeck EL, Fernández-Moreno M, Oreiro N, Hannon MJ, Hunter DJ, Kwoh CK. Mitochondrial DNA haplogroups associated with MRI-detected structural damage in early knee osteoarthritis. Osteoarthritis Cartilage 2018; 26:1562-1569. [PMID: 30036585 DOI: 10.1016/j.joca.2018.06.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 06/11/2018] [Accepted: 06/26/2018] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Magnetic resonance imaging (MRI)-detected structural features are associated with increased risk of radiographic osteoarthritis (ROA). Specific mitochondrial DNA (mtDNA) haplogroups have been associated with incident ROA. Our objective was to compare the presence of MRI-detected structural features across mtDNA haplogroups among knees that developed incident ROA. DESIGN Knees from the Osteoarthritis Initiative (OAI) that developed incident ROA during 48 months follow-up were identified from Caucasian participants. mtDNA haplogroups were assigned based on a single base extension assay. MRIs were obtained annually between baseline and 4-year follow-up and scored using the MRI Osteoarthritis Knee Score (MOAKS). The association between mtDNA haplogroups and MRI-detected structural features was estimated using log-binomial regression. Participants who carried haplogroup H served as the reference group. RESULTS The sample included 255 participants contributing 277 knees that developed ROA. Haplogroups included H (116, 45%), J (17, 7%), T (26, 10%), Uk (61, 24%), and the remaining less common haplogroups ("others") (35, 14%). Knees of participants with haplogroup J had significantly lower risk of medium/large bone marrow lesions (BMLs) in the medial compartment [3.2%, relative risks (RR) = 0.17; 95%CI: 0.05, 0.64; P = 0.009] compared to knees of participants who carried haplogroup H [16.3%], as did knees from participants within the "others" group [2.8%, RR = 0.20; 95%CI: 0.08, 0.55; P = 0.002], over the 4 year follow-up period. CONCLUSIONS mtDNA haplogroup J was associated with lower risk of BMLs in the medial compartment among knees that developed ROA. Our results offer a potential hypothesis to explain the mechanism underlying the previously reported protective association between haplogroup J and ROA.
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Affiliation(s)
- I Rego-Pérez
- Servicio de Reumatología, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), As Xubias, 15006. A Coruña, Spain
| | - F J Blanco
- Servicio de Reumatología, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), As Xubias, 15006. A Coruña, Spain
| | - F W Roemer
- Boston University School of Medicine, Boston, MA, USA; Department of Radiology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - A Guermazi
- Boston University School of Medicine, Boston, MA, USA
| | - D Ran
- The University of Arizona Arthritis Center, Tucson, AZ, USA; Department of Epidemiology and Biostatistics, University of Arizona, USA
| | - E L Ashbeck
- The University of Arizona Arthritis Center, Tucson, AZ, USA
| | - M Fernández-Moreno
- Servicio de Reumatología, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), As Xubias, 15006. A Coruña, Spain; Centro de investigación biomédica en Red, Bioingenieria, Biomatereial y Nanomedicina (CIBER-BBN), Spain
| | - N Oreiro
- Servicio de Reumatología, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), As Xubias, 15006. A Coruña, Spain
| | - M J Hannon
- Univ. of Pittsburgh Sch. of Med., Pittsburgh, PA, USA
| | - D J Hunter
- Department of Rheumatology, Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Sydney, Australia
| | - C K Kwoh
- The University of Arizona Arthritis Center, Tucson, AZ, USA; Division of Rheumatology, Department of Medicine, The University of Arizona, Tucson, AZ, USA.
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Yi J, Lee YH, Song HT, Suh JS. Comparison of T2* mapping between regular echo time and ultrashort echo time with 3D cones at 3 tesla for knee meniscus. Medicine (Baltimore) 2018; 97:e13443. [PMID: 30508961 PMCID: PMC6283210 DOI: 10.1097/md.0000000000013443] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
The objectives of this study were to compare the ultrashort T2* relaxation time with the T2* relaxation time using the 3 dimensional (3D) cones sequence in 3 groups of patients with normal, degenerated, and torn knee menisci, and to demonstrate the additional effect of the ultrashort echo time (UTE) signal intensity.Following institutional review board approval, 42 knee magnetic resonance imaging (MRI) scans of 42 patients who presented with knee pain and underwent knee MRIs, with the 3D Cones of UTE sequence (minimum TEs: 32 μs) and a 3T MRI scanner (Discovery 750, GE Healthcare, Waukesha, WI), were analyzed. The enrolled patients were classified into 3 subgroups:normal meniscus on conventional MRI, with no positive meniscus-related physical examination in medical records;meniscal degeneration with signal changes on conventional MRI; andmeniscal tear.For the quantitative assessment, the mean values inside user-drawn regions of interest (ROIs) of the medial menisci were drawn on UTE T2* map and T2* map. For statistical analyses, 1-way analysis of variance (ANOVA) with post-hoc analysis using the Tukey HSD test was conducted to compare groups, and effect size was used to compare the discrimination power.The ultrashort T2* relaxation times were higher in patients with meniscal tear than in those with normal and degeneration groups (P <.05, respectively) whereas T2* relaxation times were not statistically significantly different. The ultrashort T2* relaxation times showed higher effect sizes than the T2* times between tear and normal/degeneration.The ultrashort T2* relaxation times showed better delineation of meniscal degeneration or tears than T2* relaxation times. The ultrashort T2* relaxation times could be more sensitive at differentiating between normal and pathologic meniscal conditions in patients.
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Affiliation(s)
- Jisook Yi
- Department of Radiology, Research Institute of Radiological Science, YUHS-KRIBB, Medical Convergence Research Institute, and Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul
- Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Republic of Korea
| | - Young Han Lee
- Department of Radiology, Research Institute of Radiological Science, YUHS-KRIBB, Medical Convergence Research Institute, and Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul
| | - Ho-Taek Song
- Department of Radiology, Research Institute of Radiological Science, YUHS-KRIBB, Medical Convergence Research Institute, and Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul
| | - Jin-Suck Suh
- Department of Radiology, Research Institute of Radiological Science, YUHS-KRIBB, Medical Convergence Research Institute, and Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul
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47
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Lambert RG, Østergaard M, Jaremko JL. Magnetic Resonance Imaging in Rheumatology. Magn Reson Imaging Clin N Am 2018; 26:599-613. [DOI: 10.1016/j.mric.2018.06.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Pan F, Jones G. Clinical Perspective on Pain and Pain Phenotypes in Osteoarthritis. Curr Rheumatol Rep 2018; 20:79. [DOI: 10.1007/s11926-018-0796-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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MacKay JW, Low SBL, Smith TO, Toms AP, McCaskie AW, Gilbert FJ. Systematic review and meta-analysis of the reliability and discriminative validity of cartilage compositional MRI in knee osteoarthritis. Osteoarthritis Cartilage 2018; 26:1140-1152. [PMID: 29550400 DOI: 10.1016/j.joca.2017.11.018] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 10/16/2017] [Accepted: 11/14/2017] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To assess reliability and discriminative validity of cartilage compositional magnetic resonance imaging (MRI) in knee osteoarthritis (OA). DESIGN The study was carried out per PRISMA recommendations. We searched MEDLINE and EMBASE (1974 - present) for eligible studies. We performed qualitative synthesis of reliability data. Where data from at least two discrimination studies were available, we estimated pooled standardized mean difference (SMD) between subjects with and without OA. Discrimination analyses compared controls and subjects with mild OA (Kellgren-Lawrence (KL) grade 1-2), severe OA (KL grade 3-4) and OA not otherwise specified (NOS) where not possible to stratify. We assessed quality of the evidence using Quality Appraisal of Diagnostic Reliability (QAREL) and Quality Assessment of Diagnostic Accuracy (QUADAS-2) tools. RESULTS Fifty-eight studies were included in the reliability analysis and 26 studies were included in the discrimination analysis, with data from a total of 2,007 knees. Intra-observer, inter-observer and test-retest reliability of compositional techniques were excellent with most intraclass correlation coefficients >0.8 and coefficients of variation <10%. T1rho and T2 relaxometry were significant discriminators between subjects with mild OA and controls, and between subjects with OA (NOS) and controls (P < 0.001). T1rho showed best discrimination for mild OA (SMD [95% CI] = 0.73 [0.40 to 1.06], P < 0.001) and OA (NOS) (0.60 [0.41 to 0.80], P < 0.001). Quality of evidence was moderate for both parts of the review. CONCLUSIONS Cartilage compositional MRI techniques are reliable and, in the case of T1rho and T2 relaxometry, can discriminate between subjects with OA and controls.
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Affiliation(s)
- J W MacKay
- Department of Radiology, University of Cambridge, Cambridge, UK.
| | - S B L Low
- Department of Radiology, Norfolk & Norwich University Hospital, Norwich, UK.
| | - T O Smith
- School of Health Sciences, University of East Anglia, Norwich, UK.
| | - A P Toms
- Department of Radiology, Norfolk & Norwich University Hospital, Norwich, UK.
| | - A W McCaskie
- Division of Trauma & Orthopaedics, Department of Surgery, University of Cambridge, Cambridge UK.
| | - F J Gilbert
- Department of Radiology, University of Cambridge, Cambridge, UK.
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Wang X, Oo WM, Linklater JM. What is the role of imaging in the clinical diagnosis of osteoarthritis and disease management? Rheumatology (Oxford) 2018; 57:iv51-iv60. [PMID: 29351654 DOI: 10.1093/rheumatology/kex501] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Indexed: 12/12/2022] Open
Abstract
While OA is predominantly diagnosed on the basis of clinical criteria, imaging may aid with differential diagnosis in clinically suspected cases. While plain radiographs are traditionally the first choice of imaging modality, MRI and US also have a valuable role in assessing multiple pathologic features of OA, although each has particular advantages and disadvantages. Although modern imaging modalities provide the capability to detect a wide range of osseous and soft tissue (cartilage, menisci, ligaments, synovitis, effusion) OA-related structural damage, this extra information has not yet favourably influenced the clinical decision-making and management process. Imaging is recommended if there are unexpected rapid changes in clinical outcomes to determine whether it relates to disease severity or an additional diagnosis. On developing specific treatments, imaging serves as a sensitive tool to measure treatment response. This narrative review aims to describe the role of imaging modalities to aid in OA diagnosis, disease progression and management. It also provides insight into the use of these modalities in finding targeted treatment strategies in clinical research.
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Affiliation(s)
- Xia Wang
- Institute of Bone and Joint Research, Royal North Shore Hospital, University of Sydney, Sydney, NSW, Australia
| | - Win Min Oo
- Institute of Bone and Joint Research, Royal North Shore Hospital, University of Sydney, Sydney, NSW, Australia
| | - James M Linklater
- Department of Musculoskeletal Imaging, Castlereagh Sports Imaging Centre, Sydney, NSW, Australia
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