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Roemer FW, Jarraya M, Hayashi D, Crema MD, Haugen IK, Hunter DJ, Guermazi A. A perspective on the evolution of semi-quantitative MRI assessment of osteoarthritis: Past, present and future. Osteoarthritis Cartilage 2024; 32:460-472. [PMID: 38211810 DOI: 10.1016/j.joca.2024.01.001] [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: 09/21/2023] [Revised: 12/15/2023] [Accepted: 01/04/2024] [Indexed: 01/13/2024]
Abstract
OBJECTIVE This perspective describes the evolution of semi-quantitative (SQ) magnetic resonance imaging (MRI) in characterizing structural tissue pathologies in osteoarthritis (OA) imaging research over the last 30 years. METHODS Authors selected representative articles from a PubMed search to illustrate key steps in SQ MRI development, validation, and application. Topics include main scoring systems, reading techniques, responsiveness, reliability, technical considerations, and potential impact of artificial intelligence (AI). RESULTS Based on original research published between 1993 and 2023, this article introduces available scoring systems, including but not limited to Whole-Organ Magnetic Resonance Imaging Score (WORMS) as the first system for whole-organ assessment of the knee and the now commonly used MRI Osteoarthritis Knee Score (MOAKS) instrument. Specific systems for distinct OA subtypes or applications have been developed as well as MRI scoring instruments for other joints such as the hip, the fingers or thumb base. SQ assessment has proven to be valid, reliable, and responsive, aiding OA investigators in understanding the natural history of the disease and helping to detect response to treatment. AI may aid phenotypic characterization in the future. SQ MRI assessment's role is increasing in eligibility and safety evaluation in knee OA clinical trials. CONCLUSIONS Evidence supports the validity, reliability, and responsiveness of SQ MRI assessment in understanding structural aspects of disease onset and progression. SQ scoring has helped explain associations between structural tissue damage and clinical manifestations, as well as disease progression. While AI may support human readers to more efficiently perform SQ assessment in the future, its current application in clinical trials still requires validation and regulatory approval.
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Affiliation(s)
- Frank W Roemer
- Universitätsklinikum Erlangen & Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany; Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA.
| | - Mohamed Jarraya
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Daichi Hayashi
- Tufts Medical Center, Tufts University School of Medicine, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Michel D Crema
- Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA; Institute of Sports Imaging, French National Institute of Sports (INSEP), Paris, France
| | - Ida K Haugen
- Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
| | - David J Hunter
- Department of Rheumatology, Royal North Shore Hospital and Sydney Musculoskeletal Health, Kolling Institute, University of Sydney, St. Leonards, NSW, Australia
| | - Ali Guermazi
- Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA; Boston VA Healthcare System, West Roxbury, MA, USA
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Gopinatth V, Warrier AA, Jawanda HS, Mameri ES, Khan ZA, Allahabadi S, Knapik DM, Cole BJ, Chahla J. Correlation between articular cartilage status on outcomes and survivorship following meniscal allograft transplantation: A systematic review. Knee Surg Sports Traumatol Arthrosc 2024; 32:623-635. [PMID: 38383989 DOI: 10.1002/ksa.12065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/04/2024] [Accepted: 01/12/2024] [Indexed: 02/23/2024]
Abstract
PURPOSE To conduct a systematic review evaluating potential correlations between preoperative articular cartilage integrity on outcomes and survivorship in patients undergoing meniscal allograft transplantation (MAT). METHODS A literature search was performed by querying SCOPUS, PubMed, Medline, and the Cochrane Central Register for Controlled Trials from database inception through May 2023 according to the 2020 PRISMA statement. Inclusion criteria were limited to studies reporting on outcomes and survivorship following MAT based on preoperative cartilage status. RESULTS Sixteen studies, consisting of 1723 patients (n = 1758 total menisci), were identified in six level III and 10 level IV evidence studies. There was high heterogeneity in cartilage grading scales, reporting of concomitant cartilage procedures, and indications for MAT based on osteoarthritis. Patients with lower limb malalignment were either excluded or corrected with an osteotomy. MAT failure rate was reported in nine studies, with four studies reporting a greater rate of failure in knees with higher degrees of cartilage damage. Eight studies reported on clinical outcomes based on cartilage grade, with two studies reporting significant differences in clinical outcomes based on cartilage grade. Of the five studies reporting management of full-thickness chondral defects with cartilage surgery, three studies reported no significant difference in survivorship based on preoperative cartilage grade, while one study reported lower survivorship and one study reported unclear results. No studies found significant differences in survivorship and outcomes between medial and lateral MAT. CONCLUSIONS Conflicting results and high variability in reporting of concomitant cartilage repair and indications for MAT exist in studies evaluating the efficacy of MAT based on articular cartilage status. The degree of preoperative chondral damage did not have a strong relationship with clinical outcomes following MAT. Higher degrees of cartilage damage were associated with higher MAT failure rates, with possible improvement in survivorship when treated with an appropriate cartilage procedure. LEVEL OF EVIDENCE Level IV.
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Affiliation(s)
- Varun Gopinatth
- Saint Louis University School of Medicine, St. Louis, Missouri, USA
| | - Alec A Warrier
- Midwest Orthopaedics at Rush University Medical Center, Chicago, Illinois, USA
| | - Harkirat S Jawanda
- Midwest Orthopaedics at Rush University Medical Center, Chicago, Illinois, USA
| | - Enzo S Mameri
- Midwest Orthopaedics at Rush University Medical Center, Chicago, Illinois, USA
| | - Zeeshan A Khan
- Midwest Orthopaedics at Rush University Medical Center, Chicago, Illinois, USA
| | - Sachin Allahabadi
- Midwest Orthopaedics at Rush University Medical Center, Chicago, Illinois, USA
| | - Derrick M Knapik
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Brian J Cole
- Midwest Orthopaedics at Rush University Medical Center, Chicago, Illinois, USA
| | - Jorge Chahla
- Midwest Orthopaedics at Rush University Medical Center, Chicago, Illinois, USA
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Roemer FW, Wirth W, Demehri S, Kijowski R, Jarraya M, Hayashi D, Eckstein F, Guermazi A. Imaging Biomarkers of Osteoarthritis. Semin Musculoskelet Radiol 2024; 28:14-25. [PMID: 38330967 DOI: 10.1055/s-0043-1776432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
Currently no disease-modifying osteoarthritis drug has been approved for the treatment of osteoarthritis (OA) that can reverse, hold, or slow the progression of structural damage of OA-affected joints. The reasons for failure are manifold and include the heterogeneity of structural disease of the OA joint at trial inclusion, and the sensitivity of biomarkers used to measure a potential treatment effect.This article discusses the role and potential of different imaging biomarkers in OA research. We review the current role of radiography, as well as advances in quantitative three-dimensional morphological cartilage assessment and semiquantitative whole-organ assessment of OA. Although magnetic resonance imaging has evolved as the leading imaging method in OA research, recent developments in computed tomography are also discussed briefly. Finally, we address the experience from the Foundation for the National Institutes of Health Biomarker Consortium biomarker qualification study and the future role of artificial intelligence.
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Affiliation(s)
- Frank W Roemer
- Department of Radiology, Chobanian & Avedisian Boston University School of Medicine, Boston, Massachusetts
- Department of Radiology, Universitätsklinikum Erlangen & Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Wolfgang Wirth
- Center of Anatomy, and Ludwig Boltzmann Institute for Arthritis and Rehabilitation (LBIAR), Paracelsus Medical University, Salzburg, Austria
- Chondrometrics, GmbH, Freilassing, Germany
| | - Shadpour Demehri
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Richard Kijowski
- Department of Radiology, New York University Grossmann School of Medicine, New York, New York
| | - Mohamed Jarraya
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Daichi Hayashi
- Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Felix Eckstein
- Center of Anatomy, and Ludwig Boltzmann Institute for Arthritis and Rehabilitation (LBIAR), Paracelsus Medical University, Salzburg, Austria
- Chondrometrics, GmbH, Freilassing, Germany
| | - Ali Guermazi
- Department of Radiology, Chobanian & Avedisian Boston University School of Medicine, Boston, Massachusetts
- Department of Radiology, Boston VA Healthcare System, West Roxbury, Massachusetts
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Ehmig J, Engel G, Lotz J, Lehmann W, Taheri S, Schilling AF, Seif Amir Hosseini A, Panahi B. MR-Imaging in Osteoarthritis: Current Standard of Practice and Future Outlook. Diagnostics (Basel) 2023; 13:2586. [PMID: 37568949 PMCID: PMC10417111 DOI: 10.3390/diagnostics13152586] [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: 06/28/2023] [Revised: 07/30/2023] [Accepted: 08/01/2023] [Indexed: 08/13/2023] Open
Abstract
Osteoarthritis (OA) is a common degenerative joint disease that affects millions of people worldwide. Magnetic resonance imaging (MRI) has emerged as a powerful tool for the evaluation and monitoring of OA due to its ability to visualize soft tissues and bone with high resolution. This review aims to provide an overview of the current state of MRI in OA, with a special focus on the knee, including protocol recommendations for clinical and research settings. Furthermore, new developments in the field of musculoskeletal MRI are highlighted in this review. These include compositional MRI techniques, such as T2 mapping and T1rho imaging, which can provide additional important information about the biochemical composition of cartilage and other joint tissues. In addition, this review discusses semiquantitative joint assessment based on MRI findings, which is a widely used method for evaluating OA severity and progression in the knee. We analyze the most common scoring methods and discuss potential benefits. Techniques to reduce acquisition times and the potential impact of deep learning in MR imaging for OA are also discussed, as these technological advances may impact clinical routine in the future.
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Affiliation(s)
- Jonathan Ehmig
- Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, 37075 Göttingen, Germany; (J.E.); (G.E.)
| | - Günther Engel
- Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, 37075 Göttingen, Germany; (J.E.); (G.E.)
| | - Joachim Lotz
- Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, 37075 Göttingen, Germany; (J.E.); (G.E.)
| | - Wolfgang Lehmann
- Clinic of Trauma, Orthopedics and Reconstructive Surgery, Georg-August-University of Göttingen, 37075 Göttingen, Germany
| | - Shahed Taheri
- Clinic of Trauma, Orthopedics and Reconstructive Surgery, Georg-August-University of Göttingen, 37075 Göttingen, Germany
| | - Arndt F. Schilling
- Clinic of Trauma, Orthopedics and Reconstructive Surgery, Georg-August-University of Göttingen, 37075 Göttingen, Germany
| | - Ali Seif Amir Hosseini
- Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, 37075 Göttingen, Germany; (J.E.); (G.E.)
| | - Babak Panahi
- Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, 37075 Göttingen, Germany; (J.E.); (G.E.)
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Voinier D, Neogi T, Arbeeva L, Voinier S, Master H, Thoma LM, Brunette M, Jakiela JT, White DK. Association of physical activity with loss of knee joint space width over two years: a compositional data analysis in the Osteoarthritis Initiative. Osteoarthritis Cartilage 2023; 31:1091-1100. [PMID: 36822497 PMCID: PMC10523474 DOI: 10.1016/j.joca.2022.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/18/2022] [Accepted: 12/15/2022] [Indexed: 02/25/2023]
Abstract
OBJECTIVE There is continued debate as to how engaging in physical activity (PA), including moderate-to-vigorous PA (MVPA), light PA (LPA), and sedentary time (SED), affects one's risk for knee osteoarthritis (OA). Traditional regression methods do not account for the codependence of these categories of PA, whereby when one category increases, the others must decrease. Thus, we used compositional data analysis (CoDA) to examine time spent in each category of PA, or PA composition, and its association with loss of knee joint space width (JSW), a common indicator of knee OA progression. METHODS We performed a secondary analysis of data from a subset of participants in the Osteoarthritis Initiative. These participants had minute-by-minute activity data collected over 7 days at baseline; we then categorized each minute as MVPA, LPA, or SED. Our exposure, PA composition, represented min/day spent in each category. Our outcome, medial JSW loss, was the difference in medial tibiofemoral JSW from baseline to 2 years later. We employed CoDA, using an isometric log-ratio transformation, to examine the association of PA composition with medial JSW loss over 2 years, adjusting for potential confounders. RESULTS We included 969 participants (age: 64.5 years, 56% female, body mass index [BMI]: 28.8 kg/m2). Mean PA composition was: MVPA 9.1 min/day, LPA 278 min/day, SED 690 min/day. Per adjusted regression models, higher MVPA was not associated with greater medial JSW loss (β = -0.0005, P = 0.97), nor was LPA (β = 0.06, P = 0.27) or SED (β = -0.06, P = 0.21). CONCLUSION Using CoDA, PA composition was not associated with medial JSW loss over 2 years.
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Affiliation(s)
- D Voinier
- Department of Physical Therapy, University of Delaware, Newark, DE, USA.
| | - T Neogi
- Department of Medicine, Section of Rheumatology, Boston University School of Medicine, Boston, MA, USA.
| | - L Arbeeva
- University of North Carolina at Chapel Hill, Thurston Arthritis Research Center, Chapel Hill, NC, USA.
| | - S Voinier
- Department of Mechanical Engineering, University of Delaware, Newark, DE, USA.
| | - H Master
- Vanderbilt University Medical Center, Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
| | - L M Thoma
- University of North Carolina at Chapel Hill, Division of Physical Therapy, Chapel Hill, NC, USA.
| | - M Brunette
- Evidation Health Inc, San Mateo, CA, USA.
| | - J T Jakiela
- Department of Physical Therapy, University of Delaware, Newark, DE, USA.
| | - D K White
- Department of Physical Therapy, University of Delaware, Newark, DE, USA.
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Zibetti MVW, Menon RG, de Moura HL, Zhang X, Kijowski R, Regatte RR. Updates on Compositional MRI Mapping of the Cartilage: Emerging Techniques and Applications. J Magn Reson Imaging 2023; 58:44-60. [PMID: 37010113 PMCID: PMC10323700 DOI: 10.1002/jmri.28689] [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: 01/18/2023] [Revised: 03/06/2023] [Accepted: 03/06/2023] [Indexed: 04/04/2023] Open
Abstract
Osteoarthritis (OA) is a widely occurring degenerative joint disease that is severely debilitating and causes significant socioeconomic burdens to society. Magnetic resonance imaging (MRI) is the preferred imaging modality for the morphological evaluation of cartilage due to its excellent soft tissue contrast and high spatial resolution. However, its utilization typically involves subjective qualitative assessment of cartilage. Compositional MRI, which refers to the quantitative characterization of cartilage using a variety of MRI methods, can provide important information regarding underlying compositional and ultrastructural changes that occur during early OA. Cartilage compositional MRI could serve as early imaging biomarkers for the objective evaluation of cartilage and help drive diagnostics, disease characterization, and response to novel therapies. This review will summarize current and ongoing state-of-the-art cartilage compositional MRI techniques and highlight emerging methods for cartilage compositional MRI including MR fingerprinting, compressed sensing, multiexponential relaxometry, improved and robust radio-frequency pulse sequences, and deep learning-based acquisition, reconstruction, and segmentation. The review will also briefly discuss the current challenges and future directions for adopting these emerging cartilage compositional MRI techniques for use in clinical practice and translational OA research studies. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Marcelo V. W. Zibetti
- Center of Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA
| | - Rajiv G. Menon
- Center of Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA
| | - Hector L. de Moura
- Center of Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA
| | - Xiaoxia Zhang
- Center of Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA
| | - Richard Kijowski
- Center of Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA
| | - Ravinder R. Regatte
- Center of Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA
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7
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Zhan H, Liu Z, Wang Y, Chen Y, Teng F, Yang A, Tang Y, Xia Y, Wu M, Jiang J. Radiographic OA, bone marrow lesions, higher body mass index and medial meniscal root tears are significantly associated with medial meniscus extrusion with OA or medial meniscal tears: a systematic review and meta-analysis. Knee Surg Sports Traumatol Arthrosc 2023:10.1007/s00167-023-07418-8. [PMID: 37099153 DOI: 10.1007/s00167-023-07418-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 04/12/2023] [Indexed: 04/27/2023]
Abstract
PURPOSE Medial meniscus extrusion (MME) refers to the protrusion of the medial meniscus beyond the tibial edge by more than 3 mm, leading to a deficiency of the hoop strain. MME commonly occurs in conjunction with osteoarthritis (OA) or medial meniscal tears (MMT). However, factors associated with concomitant MME in patients with OA or MMT have not been systematically reviewed. This study aims to perform a systematic review and meta-analysis to identify factors associated with concomitant MME in OA or MMT. METHODS The systematic review of the literature was performed according to PRISMA. A literature search was conducted in 4 databases. All original human studies that reported the available evidence on factors associated with concomitant MME in patients with OA or MMT were included. Pooled binary variables were analyzed by odds ratios (OR) and 95% CIs, and pooled continuous variables were evaluated by mean difference (MD) and 95% CIs. RESULTS Ten studies on OA (5993 patients) and eight studies on MMT (872 patients) met the inclusion criteria. The overall pooled incidence of MME was 43% (95% CI, 37-50%) for OA, 61% (95% CI 43-77%) for MMT, and 85% (95% CI 72-94%) for medial meniscal root tears (MMRT). For the population with OA, Factors significantly associated with MME included radiographic OA [OR 4.24; 95% CI 3.07-5.84; P < 0.0001], bone marrow lesions [OR, 3.35; 95% CI 1.61-6.99; P = 0.0013], cartilage damage [OR, 3.25; 95% CI 1.60-6.61; P = 0.0011], and higher body mass index (BMI) [MD, 1.81; 95% CI 1.15-2.48; P < 0.0001]. Factors strongly associated with increased risk of MME for MMT included medial meniscal root [OR, 8.39; 95% CI 2.84-24.82; P < 0.0001] and radial tears [OR, 2.64; 95% CI 1.18-5.92; P < 0.0001]. CONCLUSION Radiographic OA, bone marrow lesions, cartilage damage, and higher BMI were significantly associated with concomitant MME with OA. Furthermore, medial meniscal root and radial tears were significantly associated with an increased risk of MME in patients with MMT. LEVEL OF EVIDENCE IV.
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Affiliation(s)
- Hongwei Zhan
- Department of Orthopaedics, Orthopaedic Clinical Research Center of Gansu Province, Intelligent Orthopaedic Industry Technology Center of Gansu Province, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, People's Republic of China
| | - Zhongcheng Liu
- Department of Orthopaedics, Orthopaedic Clinical Research Center of Gansu Province, Intelligent Orthopaedic Industry Technology Center of Gansu Province, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, People's Republic of China
| | - Yaobin Wang
- Department of Orthopaedics, Orthopaedic Clinical Research Center of Gansu Province, Intelligent Orthopaedic Industry Technology Center of Gansu Province, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, People's Republic of China
| | - Yi Chen
- Department of Orthopaedics, Orthopaedic Clinical Research Center of Gansu Province, Intelligent Orthopaedic Industry Technology Center of Gansu Province, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, People's Republic of China
| | - Fei Teng
- Department of Orthopaedics, Orthopaedic Clinical Research Center of Gansu Province, Intelligent Orthopaedic Industry Technology Center of Gansu Province, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, People's Republic of China
| | - Ao Yang
- Department of Orthopaedics, Orthopaedic Clinical Research Center of Gansu Province, Intelligent Orthopaedic Industry Technology Center of Gansu Province, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, People's Republic of China
| | - Yuchen Tang
- Department of Orthopaedics, Orthopaedic Clinical Research Center of Gansu Province, Intelligent Orthopaedic Industry Technology Center of Gansu Province, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, People's Republic of China
| | - Yayi Xia
- Department of Orthopaedics, Orthopaedic Clinical Research Center of Gansu Province, Intelligent Orthopaedic Industry Technology Center of Gansu Province, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, People's Republic of China.
| | - Meng Wu
- Department of Orthopaedics, Orthopaedic Clinical Research Center of Gansu Province, Intelligent Orthopaedic Industry Technology Center of Gansu Province, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, People's Republic of China.
| | - Jin Jiang
- Department of Orthopaedics, Orthopaedic Clinical Research Center of Gansu Province, Intelligent Orthopaedic Industry Technology Center of Gansu Province, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, People's Republic of China.
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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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9
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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: 17] [Impact Index Per Article: 8.5] [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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Roemer FW, Felson DT, Stefanik JJ, Rabasa G, Wang N, Crema MD, Neogi T, Nevitt MC, Torner J, Lewis CE, Peloquin C, Guermazi A. Heterogeneity of cartilage damage in Kellgren and Lawrence grade 2 and 3 knees: the MOST study. Osteoarthritis Cartilage 2022; 30:714-723. [PMID: 35202808 PMCID: PMC9433455 DOI: 10.1016/j.joca.2022.02.614] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 02/03/2022] [Accepted: 02/14/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Eligibility for clinical trials in osteoarthritis (OA) is usually limited to Kellgren-Lawrence (KL) grades 2 and 3 knees. Our aim was to describe the prevalence and severity of cartilage damage in KL 2 and 3 knees by compartment and articular subregion. DESIGN The Multicenter Osteoarthritis (MOST) study is a cohort study of individuals with or at risk for knee OA. All baseline MRIs with radiographic disease severity KL2 and 3 were included. Knee MRIs were read for cartilage damage in 14 subregions. We determined the frequencies of no, any and widespread full-thickness cartilage damage by knee compartment, and the prevalence of any cartilage damage in 14 articular subregions. RESULTS 665 knees from 665 participants were included (mean age 63.8 ± 7.9 years, 66.5% women). 372 knees were KL2 and 293 knees were KL3. There was no cartilage damage in 78 (21.0%) medial tibio-femoral joint (TFJ), 157 (42.2%) lateral TFJ and 62 (16.7%) patello-femoral joint (PFJ) compartments of KL2 knees, and 17 (5.8%), 115 (39.3%) and 35 (12.0%) compartments, respectively, of KL3 knees. There was widespread full-thickness damage in 94 (25.3%) medial TFJ, 36 (9.7%) lateral TFJ and 176 (47.3%) PFJ compartments of KL2 knees, and 217 (74.1%), 70 (23.9%) and 104 (35.5%) compartments, respectively, of KL3 knees. The subregions most likely to have any damage were central medial femur (80.5%), medial patella (69.8%) and central medial tibia (69.9). CONCLUSIONS KL2 and KL3 knees vary greatly in cartilage morphology. Heterogeneity in the prevalence, severity and location of cartilage damage in in KL2 and 3 knees should be considered when planning disease modifying trials for knee OA.
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Affiliation(s)
- F W Roemer
- Quantitative Imaging Center (QIC), Department of Radiology, Boston University School of Medicine, Boston, MA, USA; Department of Radiology, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany.
| | - D T Felson
- Department of Medicine, Section of Rheumatology, Boston University School of Medicine, Boston, MA, USA
| | - J J Stefanik
- Department of Physical Therapy, Movement and Rehabilitation Sciences, Northeastern University, Boston, MA, USA
| | - G Rabasa
- Department of Medicine, Section of Rheumatology, Boston University School of Medicine, Boston, MA, USA
| | - N Wang
- Department of Medicine, Section of Rheumatology, Boston University School of Medicine, Boston, MA, USA
| | - M D Crema
- Quantitative Imaging Center (QIC), Department of Radiology, Boston University School of Medicine, Boston, MA, USA; Institute of Sports Imaging, French National Institute of Sports (INSEP), Paris, France
| | - T Neogi
- Department of Medicine, Section of Rheumatology, Boston University School of Medicine, Boston, MA, USA
| | - M C Nevitt
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
| | - J Torner
- Department of Epidemiology, University of Iowa, Iowa City, IA, USA
| | - C E Lewis
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - C Peloquin
- Department of Medicine, Section of Rheumatology, Boston University School of Medicine, Boston, MA, USA
| | - A Guermazi
- Quantitative Imaging Center (QIC), Department of Radiology, Boston University School of Medicine, Boston, MA, USA; Department of Radiology, VA Boston Healthcare System, West Roxbury, MA, USA
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11
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Editorial Commentary: Arthroscopic Partial Meniscectomy Outcomes Are Worse in Patients With Concomitant Pathology. Arthroscopy 2022; 38:945-947. [PMID: 35248238 DOI: 10.1016/j.arthro.2021.07.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 07/30/2021] [Indexed: 02/02/2023]
Abstract
Arthroscopic debridement for degenerative joint disease has not been shown to be beneficial, and initial nonoperative management is now recommended for degenerative meniscal tears. Indications for arthroscopic partial meniscectomy (APM) are traumatic tears with a clear history of mechanical symptoms, such as locking and catching, with joint-line pain or acute onset of symptoms that have failed nonsurgical treatment. Predictors of dissatisfaction with APM include female sex, obesity, and lateral meniscal tears. Beyond such demographic factors, concomitant joint pathology negatively affects outcomes of APM because a large majority of patients without radiographic osteoarthritis (OA) have evidence of concomitant tissue changes considered to be associated with OA including chondral damage, subchondral bone changes, signs of inflammation or ligament pathology. Particularly relevant seem to be chondral lesions radiologists would label as "delaminating," which are those a surgeon might call an "impending loose bodies." Cartilage repair surgery may be indicated in these cases.
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12
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Wang Q, Runhaar J, Kloppenburg M, Boers M, Bijlsma JWJ, Bierma-Zeinstra SMA. Diagnosis of early stage knee osteoarthritis based on early clinical course: data from the CHECK cohort. Arthritis Res Ther 2021; 23:217. [PMID: 34412670 PMCID: PMC8375192 DOI: 10.1186/s13075-021-02598-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 08/03/2021] [Indexed: 12/23/2022] Open
Abstract
Background Early diagnosis of knee osteoarthritis (OA) is important in managing this disease, but such an early diagnostic tool is still lacking in clinical practice. The purpose of this study was to develop diagnostic models for early stage knee OA based on the first 2-year clinical course after the patient’s initial presentation in primary care and to identify whether these course factors had additive discriminative value over baseline factors. Methods We extracted eligible patients’ clinical and radiographic data from the CHECK cohort and formed the first 2-year course factors according to the factors’ changes over the 2 years. Clinical expert consensus-based diagnosis, which was made via evaluating patients’ 5- to 10-year follow-up data, was used as the outcome factor. Four models were developed: model 1, included clinical course factors only; model 2, included clinical and radiographic course factors; model 3, clinical baseline factors + clinical course factors; and model 4, clinical and radiographic baseline factors + clinical and radiographic course factors. All the models were built by a generalized estimating equation with a backward selection method. Area under the receiver operating characteristic curve (AUC) and its 95% confidence interval (CI) were calculated for assessing model discrimination. Delong’s method compared AUCs. Results Seven hundred sixty-one patients with 1185 symptomatic knees were included in this study. Thirty-seven percent knees were diagnosed as OA at follow-up. Model 1 contained 6 clinical course factors; model 2: 6 clinical and 3 radiographic course factors; model 3: 6 baseline clinical factors combined with 5 clinical course factors; and model 4: 4 clinical and 1 radiographic baseline factors combined with 5 clinical and 3 radiographic course factors. Model discriminations are as follows: model 1, AUC 0.70 (95% CI 0.67–0.74); model 2, 0.74 (95% CI 0.71–0.77); model 3, 0.77 (95% CI 0.74–0.80); and model 4, 0.80 (95% CI 0.77–0.82). AUCs of model 3 and model 4 were slightly but significantly higher than corresponding baseline-factor models (model 3 0.77 vs 0.75, p = 0.031; model 4 0.80 vs 0.76, p = 0.003). Conclusions Four diagnostic models were developed with “fair” to “good” discriminations. First 2-year course factors had additive discriminative value over baseline factors. Supplementary Information The online version contains supplementary material available at 10.1186/s13075-021-02598-5.
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Affiliation(s)
- Qiuke Wang
- Department of General Practice, Erasmus MC University Center Rotterdam, Rotterdam, The Netherlands.
| | - Jos Runhaar
- Department of General Practice, Erasmus MC University Center Rotterdam, Rotterdam, The Netherlands
| | - Margreet Kloppenburg
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Maarten Boers
- Department of Epidemiology & Biostatistics, Amsterdam UMC, Amsterdam, The Netherlands
| | - Johannes W J Bijlsma
- Department of Rheumatology and Clinical Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Sita M A Bierma-Zeinstra
- Department of General Practice, Erasmus MC University Center Rotterdam, Rotterdam, The Netherlands.,Department of Orthopaedics, Erasmus MC University Center Rotterdam, Rotterdam, The Netherlands
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13
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Simic M, Harmer AR, Agaliotis M, Nairn L, Bridgett L, March L, Votrubec M, Edmonds J, Woodward M, Day R, Fransen M. Clinical risk factors associated with radiographic osteoarthritis progression among people with knee pain: a longitudinal study. Arthritis Res Ther 2021; 23:160. [PMID: 34088340 PMCID: PMC8176608 DOI: 10.1186/s13075-021-02540-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 05/21/2021] [Indexed: 12/20/2022] Open
Abstract
Background The aim of this study was to identify modifiable clinical factors associated with radiographic osteoarthritis progression over 1 to 2 years in people with painful medial knee osteoarthritis. Methods A longitudinal study was conducted within a randomised controlled trial, the “Long-term Evaluation of Glucosamine Sulfate” (LEGS study). Recruitment occurred in 2007–2009, with 1- and 2-year follow-up assessments by blinded assessors. Community-dwelling people with chronic knee pain (≥4/10) and medial tibiofemoral narrowing (but retaining >2mm medial joint space width) on radiographs were recruited. From 605 participants, follow-up data were available for 498 (82%, mean [sd] age 60 [8] years). Risk factors evaluated at baseline were pain, physical function, use of non-steroidal anti-inflammatory drugs (NSAIDs), statin use, not meeting physical activity guidelines, presence of Heberden’s nodes, history of knee surgery/trauma, and manual occupation. Multivariable logistic regression analysis was conducted adjusting for age, sex, obesity, high blood pressure, allocation to glucosamine and chondroitin treatment, and baseline structural disease severity (Kellgren and Lawrence grade, joint space width, and varus alignment). Radiographic osteoarthritis progression was defined as joint space narrowing ≥0.5mm over 1 to 2 years (latest follow-up used where available). Results Radiographic osteoarthritis progression occurred in 58 participants (12%). Clinical factors independently associated with radiographic progression were the use of NSAIDs, adjusted odds ratios (OR) and 95% confidence intervals (CI) 2.05 (95% CI 1.1 to 3.8), and not meeting physical activity guidelines, OR 2.07 (95% CI 0.9 to 4.7). Conclusions Among people with mild radiographic knee osteoarthritis, people who use NSAIDs and/or do not meet physical activity guidelines have a greater risk of radiographic osteoarthritis progression. Trial registration ClinicalTrials.gov, NCT00513422. This original study trial was registered a priori, on August 8, 2007. The current study hypothesis arose before inspection of the data. Supplementary Information The online version contains supplementary material available at 10.1186/s13075-021-02540-9.
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Affiliation(s)
- Milena Simic
- Faculty of Medicine and Health, Discipline of Physiotherapy, The University of Sydney, Sydney, Australia.
| | - Alison R Harmer
- Faculty of Medicine and Health, Discipline of Physiotherapy, The University of Sydney, Sydney, Australia
| | - Maria Agaliotis
- Faculty of Medicine and Health, Discipline of Physiotherapy, The University of Sydney, Sydney, Australia.,Australia Institute of Health Service Management, University of Tasmania, Sydney, Australia
| | - Lillias Nairn
- Faculty of Medicine and Health, Discipline of Physiotherapy, The University of Sydney, Sydney, Australia
| | - Lisa Bridgett
- Faculty of Medicine and Health, Discipline of Physiotherapy, The University of Sydney, Sydney, Australia
| | - Lyn March
- Institute of Bone and Joint Research, The University of Sydney, Royal North Shore Hospital, Sydney, Australia
| | - Milana Votrubec
- Graduate School of Medicine, Notre Dame University, Sydney, Australia
| | - John Edmonds
- St George Hospital Clinical School, University of New South Wales, Sydney, Australia
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Sydney, Australia.,The George Institute for Global Health, University of Oxford, Oxford, UK.,Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - Richard Day
- Department of Clinical Pharmacology, St Vincent's Hospital, Sydney, Australia.,St Vincent's Hospital Clinical School, University of New South Wales, Sydney, Australia
| | - Marlene Fransen
- Faculty of Medicine and Health, Discipline of Physiotherapy, The University of Sydney, Sydney, Australia
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14
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Affiliation(s)
- Frank W Roemer
- From the Department of Radiology, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany; and Quantitative Imaging Center (QIC), Department of Radiology, Boston University School of Medicine, 820 Harrison Ave, FGH Building, 4th Floor, Boston, MA 02118
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15
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MacKay J, Guermazi A, Kwoh CK, See PLP, Jarraya M, Li L, Hannon MJ, Fujii T, Roemer FW. MRI-defined Osteophyte Presence and Concomitant Cartilage Damage in Knees with Incident Tibiofemoral Osteoarthritis: Data From The Pivotal Osteoarthritis Initiative Magnetic Resonance Imaging Analyses (POMA) Study. Arthritis Care Res (Hoboken) 2021; 74:1513-1519. [PMID: 33770420 DOI: 10.1002/acr.24605] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 02/05/2021] [Accepted: 03/23/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To describe compartmental frequencies of MRI-defined osteophytes and co-localized cartilage damage and evaluate the associations of osteophyte (OP) size with any ipsicompartmental cartilage damage in knees with incident tibiofemoral radiographic knee osteoarthritis (ROA). METHODS We evaluated knees from the Osteoarthritis Initiative without ROA at baseline that developed ROA during a 4-year interval. Semi-quantitative MRI scoring of osteophytes and cartilage damage was performed at the time point when ROA was diagnosed, defined as Kellgren-Lawrence grade ≥ 2, using the MOAKS instrument. The frequencies of maximum osteophyte size and maximum grade of ipsicompartmental (i.e., patellofemoral, medial tibiofemoral, lateral tibiofemoral, posterior femur) cartilage damage were assessed. Generalized estimating equations were used to determine the association of MRI-defined maximum osteophyte size with presence of any (excluding focal superficial defects) ipsicompartmental cartilage damage. RESULTS 296 knees that did not have tibiofemoral ROA at the baseline visit but developed ROA during the 48- month observational period were included. In the patellofemoral, medial tibiofemoral and lateral tibiofemoral compartments, the most frequent OP grade was 1 (67.6%, 59.1% and 51.7%, respectively), and in the posterior femur it was 0 (51.7%). For all compartments except the posterior femur, a linear trend was found between increasing maximum OP size and the presence of any concomitant cartilage damage. CONCLUSIONS In this sample of knees with incident tibiofemoral ROA, the patellofemoral joint showed more severe cartilage damage than other compartments regardless of concomitant osteophyte size. In the posterior femur, cartilage damage was rare despite the presence or size of concomitant osteophytes.
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Affiliation(s)
- James MacKay
- Department of Radiology, Norwich Medical School, University of East Anglia, NR4 7UQ, Norwich, UK.,Department of Radiology, University of Cambridge, School of Clinical Medicine, Addenbrooke's Hospital, Box 218, Level 5, Cambridge, CB2 0QQ, UK
| | - Ali Guermazi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, FGH Building, 820 Harrison Avenue, Boston, MA, 02118, USA.,Department of Radiology, Boston Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, 02132, USA
| | - C Kent Kwoh
- University of Arizona, Arthritis Center & Division of Rheumatology, University of Arizona College of Medicine, 1501 N Campbell Ave, Tucson, AZ, 85724, USA
| | - P L Paul See
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, FGH Building, 820 Harrison Avenue, Boston, MA, 02118, USA.,Department of Diagnostic Radiology, Khoo Teck Puat Hospital, 90 Yishun Central, Singapore, 768828
| | - Mohamed Jarraya
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ling Li
- Pfizer, Inc, New York, NY, USA
| | - Michael J Hannon
- Division of Rheumatology and Clinical Immunology, University of Pittsburgh, School of Medicine, S700 Biomedical Science Tower, 3500 Terrace Street, Pittsburgh, PA, 15261, USA.,Pinney Associates, 201 N Craig Street # 320, Pittsburgh, PA, 15213, USA
| | - Tomoko Fujii
- Department of Medical Research and Management for Musculoskeletal Pain, 22nd Century Medical and Research Center, Faculty of Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Frank W Roemer
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, FGH Building, 820 Harrison Avenue, Boston, MA, 02118, USA.,Department of Radiology, Friedrich-Alexander University Erlangen-Nürnberg & Universitätsklinikum Erlangen, Erlangen, Germany
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16
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Everhart JS, Magnussen RA, Abouljoud MM, Regalado LE, Kaeding CC, Flanigan DC. Meniscus tears accelerate joint space loss and lateral meniscal extrusion increases risk of knee arthroplasty in middle-aged adults. J Orthop Res 2020; 38:2495-2504. [PMID: 32221990 DOI: 10.1002/jor.24672] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 03/19/2020] [Accepted: 03/20/2020] [Indexed: 02/04/2023]
Abstract
We sought to use publicly available data from the Osteoarthritis Initiative (OAI), a multicenter prospective cohort study, to determine the rate of joint space loss and likelihood of knee arthroplasty due to magnetic resonance imaging (MRI)-diagnosed meniscal tears or meniscal extrusion in middle-aged adults with no to mild knee osteoarthritis. Participants (n = 2199; mean age, 60.2 years) with Kellgren-Lawrence osteoarthritis grades 2 (mild) (48.7%) or 0 to 1 (none) (51.3%) underwent knee MRIs at enrollment and were followed radiographically for 8 years and for total knee arthroplasty (TKA) for 9 years. Rate of joint space loss and risk of arthroplasty due to meniscal tears and/or extrusion were determined by multivariate modeling. Prevalence of baseline medial meniscus tears was 21.3% and lateral tears was 12.8%; 26.9% had medial meniscal extrusion (79.6%, <2 mm; 20.4%, +2 mm) and 5.4% had lateral extrusion (75.9%, <2 mm; 24.1%, +2 mm). Median medial joint space loss was 0.06 mm/y and lateral was 0.05 mm/y. Medial tears regardless of extrusion were associated with accelerated medial joint space loss (additional mean, 0.05 mm/y; P = .001). Lateral tears were associated with accelerated lateral joint space loss (additional 0.09 mm/y; P < .001) as was lateral extrusion (additional 0.10 mm/y; P < .001). The yearly incidence of knee arthroplasty was 0.5% without lateral extrusion, 1.5% with extrusion less than 2.0 mm, and 3.7% with extrusion greater than or equal to 2.0 mm. Both medial and lateral tears accelerate joint space loss in middle-aged adults. Lateral meniscal extrusion further accelerates joint space loss and increases risk of progression to TKA within 9 years.
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Affiliation(s)
- Joshua S Everhart
- Sports Medicine Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Robert A Magnussen
- Sports Medicine Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Moneer M Abouljoud
- Sports Medicine Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Luis E Regalado
- Sports Medicine Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Christopher C Kaeding
- Sports Medicine Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - David C Flanigan
- Sports Medicine Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio
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Attur M, Krasnokutsky S, Zhou H, Samuels J, Chang G, Bencardino J, Rosenthal P, Rybak L, Huebner JL, Kraus VB, Abramson SB. The combination of an inflammatory peripheral blood gene expression and imaging biomarkers enhance prediction of radiographic progression in knee osteoarthritis. Arthritis Res Ther 2020; 22:208. [PMID: 32912331 PMCID: PMC7488029 DOI: 10.1186/s13075-020-02298-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 08/24/2020] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE Predictive biomarkers of progression in knee osteoarthritis are sought to enable clinical trials of structure-modifying drugs. A peripheral blood leukocyte (PBL) inflammatory gene signature, MRI-based bone marrow lesions (BML) and meniscus extrusion scores, meniscal lesions, and osteophytes on X-ray each have been shown separately to predict radiographic joint space narrowing (JSN) in subjects with symptomatic knee osteoarthritis (SKOA). In these studies, we determined whether the combination of the PBL inflammatory gene expression and these imaging findings at baseline enhanced the prognostic value of either alone. METHODS PBL inflammatory gene expression (increased mRNA for IL-1β, TNFα, and COX-2), routine radiographs, and 3T knee MRI were assessed in two independent populations with SKOA: an NYU cohort and the Osteoarthritis Initiative (OAI). At baseline and 24 months, subjects underwent standardized fixed-flexion knee radiographs and knee MRI. Medial JSN (mJSN) was determined as the change in medial JSW. Progressors were defined by an mJSN cut-point (≥ 0.5 mm/24 months). Models were evaluated by odds ratios (OR) and area under the receiver operating characteristic curve (AUC). RESULTS We validated our prior finding in these two independent (NYU and OAI) cohorts, individually and combined, that an inflammatory PBL inflammatory gene expression predicted radiographic progression of SKOA after adjustment for age, sex, and BMI. Similarly, the presence of baseline BML and meniscal lesions by MRI or semiquantitative osteophyte score on X-ray each predicted radiographic medial JSN at 24 months. The combination of the PBL inflammatory gene expression and medial BML increased the AUC from 0.66 (p = 0.004) to 0.75 (p < 0.0001) and the odds ratio from 6.31 to 19.10 (p < 0.0001) in the combined cohort of 473 subjects. The addition of osteophyte score to BML and PBL inflammatory gene expression further increased the predictive value of any single biomarker. A causal analysis demonstrated that the PBL inflammatory gene expression and BML independently influenced mJSN. CONCLUSION The use of the PBL inflammatory gene expression together with imaging biomarkers as combinatorial predictive biomarkers, markedly enhances the identification of radiographic progressors. The identification of the SKOA population at risk for progression will help in the future design of disease-modifying OA drug trials and personalized medicine strategies.
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Affiliation(s)
- Mukundan Attur
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA. .,Division of Rheumatology, Rheumatology Research laboratory, NYU Langone Orthopedic Hospital, 301 East 17th Street, Suite 1612, New York, NY, 10003, USA.
| | | | - Hua Zhou
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, NY, USA
| | - Jonathan Samuels
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Gregory Chang
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Jenny Bencardino
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.,Division of Musculoskeletal Imaging, Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Pamela Rosenthal
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Leon Rybak
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, NY, USA
| | | | | | - Steven B Abramson
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
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18
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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: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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US detection of medial meniscus extrusion can predict the risk of developing radiographic knee osteoarthritis: a 5-year cohort study. Eur Radiol 2020; 30:3996-4004. [PMID: 32140818 DOI: 10.1007/s00330-020-06749-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 02/08/2020] [Accepted: 02/13/2020] [Indexed: 12/25/2022]
Abstract
OBJECTIVES To clarify the relationship between the baseline value of medial meniscus extrusion (MME) and the radiographic change of knee osteoarthritis (KOA) through a 5-year follow-up. METHODS Overall, 472 participants and 944 knees were eligible. MME (mm) was measured at the baseline, and KOA was radiographically evaluated at both baseline and 5-year follow-up by Kellgren-Lawrence grade (KLG). Radiographic KOA (ROA) was defined as the knee showing KLG ≥ 2. Incident ROA (iROA) was defined if the baseline KLG of 0-1 increased to KLG ≥ 2 in 5 years. Progressive ROA (pROA) was defined if the baseline KLG of 2-3 worsened to a higher grade in 5 years. Receiver operating characteristic (ROC) curve and generalized estimating equations were used for analysis. RESULTS Of 574 non-ROA knees at the baseline, 43 knees (7.5%) developed iROA; of 370 ROA knees, 47 knees (12.7%) developed pROA. Based on the ROC curves, 4 mm was the optimal cutoff to detect the risk of iROA (area under curve [AUC] 0.639 [right knee]; AUC 0.641 [left knee]) and that of pROA (AUC 0.750 [right knee]; AUC 0.863 [left knee]). Multiple regression analysis showed that the 4-mm cutoff of MME was significantly associated with both the prevalence of iROA (regression coefficient [B] 1.909; p ≤ 0.001; adjusted odds ratio [aOR] 6.746) and that of pROA (B 1.791; p ≤ 0.001; aOR 5.993). CONCLUSIONS On ultrasonography, the participants with more extruded medial meniscus showed a higher prevalence of both iROA and pROA. Ultrasonography could identify patients who had a risk of developing KOA. KEY POINTS • Through a 5-year follow-up, the current cohort study was conducted to clarify the relationship between the baseline value of medial meniscus extrusion (MME) and the radiographic change of knee osteoarthritis (KOA). • More extruded medial meniscus evaluated by ultrasonography was associated with the development of radiographic KOA. • Ultrasonography could identify the patients who had a risk of developing KOA, and the 4-mm cutoff of MME was optimal to detect this risk.
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Svensson F, Felson DT, Zhang F, Guermazi A, Roemer FW, Niu J, Aliabadi P, Neogi T, Englund M. Meniscal body extrusion and cartilage coverage in middle-aged and elderly without radiographic knee osteoarthritis. Eur Radiol 2019; 29:1848-1854. [PMID: 30280250 PMCID: PMC6420611 DOI: 10.1007/s00330-018-5741-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 09/20/2017] [Accepted: 10/18/2017] [Indexed: 01/27/2023]
Abstract
OBJECTIVES To determine meniscal extrusion and cartilage coverage on magnetic resonance (MR) images and factors associated with these parameters in knees of middle-aged and elderly persons free from radiographic tibiofemoral osteoarthritis (OA). METHODS Seven hundred eighteen persons, free of radiographic tibiofemoral OA, aged 50-90 years from Framingham, MA, USA, were included. We measured meniscal extrusion on 1.5 T MRI of both knees to evaluate both medial and lateral meniscal body extrusion and cartilage coverage. We also determined meniscal morphology and structural integrity. The multivariable association with age, body mass index (BMI), and ipsilateral meniscal damage was also evaluated. RESULTS The mean meniscal body extrusion medially was 2.7 mm and laterally 1.8 mm. The tibial cartilage coverage was about 30% of ipsilateral cartilage surface (both compartments). The presence of ipsilateral meniscal damage was associated with more extrusion in only the medial compartment, 1.0 mm in men and 0.6 mm in women, and less cartilage coverage proportion, -5.5% in men and -4.6% in women. CONCLUSIONS Mean medial meniscal body extrusion in middle-aged or older persons without radiographic tibiofemoral OA approximates the commonly used cutoff (3 mm) to denote pathological extrusion. Medial meniscal damage is a factor associated with medial meniscal body extrusion and less cartilage coverage. KEY POINTS • Medial meniscal extrusion in middle-aged/older persons without OA is around 3 mm. • Lateral meniscal extrusion in middle-aged/older persons without OA is around 2 mm. • Meniscal damage is associated with medial meniscal extrusion and less cartilage coverage.
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Affiliation(s)
- Fredrik Svensson
- Faculty of Medicine, Department of Clinical Sciences Lund, Orthopedics, Clinical Epidemiology Unit, Lund University, Lund, Sweden.
| | - David T Felson
- Clinical Epidemiology Research & Training Unit, Boston University School of Medicine, Boston, MA, USA
| | - Fan Zhang
- Faculty of Medicine, Department of Clinical Sciences Lund, Orthopedics, Clinical Epidemiology Unit, Lund University, Lund, Sweden
| | - Ali Guermazi
- Department of Radiology, Boston University School of Medicine, Boston, MA, USA
| | - Frank W Roemer
- Clinical Epidemiology Research & Training Unit, Boston University School of Medicine, Boston, MA, USA
- Department of Radiology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Jingbo Niu
- Clinical Epidemiology Research & Training Unit, Boston University School of Medicine, Boston, MA, USA
| | - Piran Aliabadi
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tuhina Neogi
- Clinical Epidemiology Research & Training Unit, Boston University School of Medicine, Boston, MA, USA
| | - Martin Englund
- Faculty of Medicine, Department of Clinical Sciences Lund, Orthopedics, Clinical Epidemiology Unit, Lund University, Lund, Sweden
- Clinical Epidemiology Research & Training Unit, Boston University School of Medicine, Boston, MA, USA
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21
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Arthrose am Kniegelenk. ARTHROSKOPIE 2019. [DOI: 10.1007/s00142-018-0237-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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22
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Kumm J, Turkiewicz A, Zhang F, Englund M. Structural abnormalities detected by knee magnetic resonance imaging are common in middle-aged subjects with and without risk factors for osteoarthritis. Acta Orthop 2018; 89:535-540. [PMID: 30014747 PMCID: PMC6202768 DOI: 10.1080/17453674.2018.1495164] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Background and purpose - Few data are available regarding structural changes present in knees without radiographically evident osteoarthritis (OA). We evaluated the prevalence of findings suggestive of knee OA by magnetic resonance imaging (MRI) in middle-aged subjects without radiographic OA with or without OA risk factors. Patients and methods - 340 subjects from the Osteoarthritis Initiative, aged 45-55 years (51% women) with Kellgren-Lawrence grade 0 in both knees, who had 3T knee MR images were eligible. 294 subjects had risk factors and 46 were without risk factors. MR images were assessed using the MOAKS scoring system. Results - At least 1 MR-detected feature was found in 96% (283/294) of subjects with risk factors and in 87% (40/46) of those without. Cartilage damage (82%), bone marrow lesions (60%), osteophytes (45%), meniscal body extrusion (32%), and synovitis-effusion (29%) were the most common findings in subjects with risk factors, while cartilage damage (67%), osteophytes (46%), meniscal body extrusion (37%), and bone marrow lesions (35%) were most common in subjects without. The prevalence of any abnormality was higher in subjects with OA risk factors than in subjects without (prevalence ratio adjusted for age and sex 1.3 [95% CI 1.1-1.6]), so was prevalence of subchondral cysts and bone marrow lesions. MR-detected structural changes were more frequent in patellofemoral joints. Interpretation - Our findings highlight the great challenge in distinguishing pathological features of early knee OA from what could be considered part of "normal ageing." Bone marrow lesions were more frequently found in subjects with multiple OA risk factors.
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Affiliation(s)
- Jaanika Kumm
- Department of Radiology, University of Tartu, Tartu, Estonia; ,Correspondence:
| | - Aleksandra Turkiewicz
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Orthopaedics, Clinical Epidemiology Unit, Lund, Sweden;
| | - Fan Zhang
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Orthopaedics, Clinical Epidemiology Unit, Lund, Sweden;
| | - Martin Englund
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Orthopaedics, Clinical Epidemiology Unit, Lund, Sweden; ,Clinical Epidemiology Research and Training Unit, Boston University School of Medicine, Boston, MA, USA
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Mezlini‐Gharsallah H, Youssef R, Uk S, Laredo JD, Chappard C. Three-dimensional mapping of the joint space for the diagnosis of knee osteoarthritis based on high resolution computed tomography: Comparison with radiographic, outerbridge, and meniscal classifications. J Orthop Res 2018; 36:2380-2391. [PMID: 29663495 PMCID: PMC6175338 DOI: 10.1002/jor.24015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 03/30/2018] [Indexed: 02/04/2023]
Abstract
One of the most important characteristic of knee osteoarthritis (OA) is the joint space (JS) width narrowing. Measurements are usually performed on two dimensional (2D) X-rays. We propose and validate a new method to assess the 3D joint space at the medial knee compartment using high resolution peripheral computed tomography images. A semi-automated method was developed to obtain a distance 3D map between femur an tibia with the following parameters: volume, minimum, maximum, mean, standard deviation, median, asymmetry, and entropy. We analyzed 71 knee specimens (mean age: 85 years), radiographs were performed for the Kellgren Lawrence (KL) score grading. In a subgroup of 41 specimens, the histopathological Outerbridge and meniscal classifications were performed and then cores were harvested from the tibial plateau in three different positions (posterior, central, and peripheral) and imaged at 10 µm of resolution to measure the cartilage thickness. Minimum, maximum, mean, and median were statistically lower and entropy higher between knee specimens classified as KL = 0 and KL = 3-4. Gr1 and 2 were statistically different from Gr3-4 for minimum, asymmetry, entropy using the Outerbridge classification and Gr1 was statistically different from Gr3-4 using the meniscal classification. Asymmetry, minimum, mean, median and entropy were significantly correlated with cartilage thickness. Parameters extracted from a 3D map of the medial joint space indicate local variations of JS and are related to local measurements of tibial cartilage thickness, and could be consequently useful to identify early OA. © 2018 The Authors. Journal of Orthopaedic Research® Published by Wiley Periodicals, Inc. on behalf of Orthopaedic Research Society. J Orthop Res 36:2380-2391, 2018.
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Affiliation(s)
- Houda Mezlini‐Gharsallah
- B2OA UMR 7052 CNRS Paris Diderot University10 Avenue de Verdun 75010 Paris,Sorbonne Paris CitéParisFrance
| | - Rabaa Youssef
- CEA Linklab Site El Ghazala Technopark 2088 Ariana TunisTunisia,COSIM, Carthage UniversityCarthageTunisia
| | - Stéphanie Uk
- B2OA UMR 7052 CNRS Paris Diderot University10 Avenue de Verdun 75010 Paris,Sorbonne Paris CitéParisFrance
| | - Jean D. Laredo
- B2OA UMR 7052 CNRS Paris Diderot University10 Avenue de Verdun 75010 Paris,Sorbonne Paris CitéParisFrance,Radiology Department Hospital Lariboisière2 Rue Ambroise Paré 75475 Paris Cédex 10, Sorbonne Paris CitéFrance
| | - Christine Chappard
- B2OA UMR 7052 CNRS Paris Diderot University10 Avenue de Verdun 75010 Paris,Sorbonne Paris CitéParisFrance
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24
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Crema MD, Felson DT, Guermazi A, Nevitt MC, Niu J, Lynch JA, Marra MD, Torner J, Lewis CE, Roemer FW. Is the atrophic phenotype of tibiofemoral osteoarthritis associated with faster progression of disease? The MOST study. Osteoarthritis Cartilage 2017; 25:1647-1653. [PMID: 28606556 PMCID: PMC5605441 DOI: 10.1016/j.joca.2017.05.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Revised: 03/31/2017] [Accepted: 05/31/2017] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To assess the associations of atrophic tibiofemoral osteoarthritis (OA) with progression of radiographic joint space narrowing (JSN) and magnetic resonance imaging (MRI)-defined progression of cartilage damage. DESIGN Participants of the Multicenter Osteoarthritis (MOST) Study with available radiographic and MRI assessments at baseline and 30 months were included. The atrophic OA phenotype was defined as Osteoarthritis Research Society International (OARSI) grades 1 or 2 for JSN and grade 0 for osteophytes. Based on MRI, atrophic OA was defined as tibiofemoral (TF) cartilage damage grades ≥3 in at least 2 of 10 subregions with absent or tiny osteophytes in all TF subregions. Progression of JSN and cartilage loss on MRI, was defined as (1) no, (2) slow, and (3) fast progression. Co-variance and logistic regression with generalized estimated equations were performed to assess the association of atrophic knee OA with any progression, compared to non-atrophic OA knees. RESULTS A total of 476 knees from 432 participants were included. There were 50 (10.5%) knees with atrophic OA using the radiographic definition, and 16 (3.4%) knees with atrophic OA using MRI definition. Non-atrophic OA knees more commonly exhibited fast progression of JSN and cartilage damage. Logistic regression showed that the atrophic phenotype of knee OA was associated with a decreased likelihood of progression of JSN and cartilage loss. CONCLUSION In this sample, the atrophic phenotype of knee OA was associated with a decreased likelihood of progression of JSN and cartilage loss compared to the non-atrophic knee OA phenotype.
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Affiliation(s)
- M D Crema
- Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, MA, USA; Department of Radiology, Saint-Antoine Hospital, University Paris VI, Paris, France.
| | - D T Felson
- Clinical Epidemiology Research and Training Unit, Boston University, Boston, MA, USA
| | - A Guermazi
- Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, MA, USA
| | - M C Nevitt
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
| | - J Niu
- Clinical Epidemiology Research and Training Unit, Boston University, Boston, MA, USA
| | - J A Lynch
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
| | - M D Marra
- Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, MA, USA; Department of Radiology, Saint-Antoine Hospital, University Paris VI, Paris, France
| | - J Torner
- University of Iowa, Iowa City, IA, USA
| | - C E Lewis
- University of Alabama, Birmingham, AL, USA
| | - F W Roemer
- Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, MA, USA; Department of Radiology, University of Erlangen, Erlangen, Germany
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25
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Russu OM, Feier AM, Pop TS, Todoran M, Gergely I. Changes in Knee Joint Space Width in Treatment with a New Hyaluronic-Based Hydrogel. ACTA MEDICA MARISIENSIS 2017. [DOI: 10.1515/amma-2017-0017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
AbstractObjective: Our purpose was to assess the effect of a new hyaluronic acid-based (Hymovis®) injections on joint space width narrowing in patients diagnosed with knee osteoarthritis.Methods: A prospective clinical trial was conducted in the Department of Orthopedics and Traumatology II from the Clinical County Hospital, Tîrgu Mureș, Romania. Thirty-five patients diagnosed with idiopathic knee osteoarthritis received two intraarticular injections with hyaluronic acid-based hydrogel (24 mg of hyaluronic acid/3 ml) at one-week interval. Anteroposterior radiographs were obtained before the injections, at six and twelve months after. Minimum joint space width was measured by two senior orthopaedics surgeons at each follow up. Each radiograph was measured again by the same evaluators two weeks apart.Results: Thirty-one patients were present at the final follow-up. A minor reduction in mean weight was noticed (from 82.2 kg ± 16.2 kg to 80.9 kg ± 16.0, p > 0.398) without any correlation with joint space width narrowing. There were no major changes at the first follow up (6 months) regarding joint space narrowing. A reduction in joint space width was observed however at 12 months varying from 4.4 mm (SD ± 1.64, range 1.8-7.1) at the first assessment to 4.3 mm (SD ± 1.26, range 0.0-6.8) at the final follow-up but with no statistical difference (p=0.237).Conclusion: No significant modification in joint space width at the final follow-up secondarily proved that two injections of Hymovis® may slow down narrowing in the knee joint space over a one-year period.
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Affiliation(s)
| | | | | | | | - István Gergely
- University of Medicine and Pharmacy Tirgu-Mures , Romania
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26
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Ijaz Khan H, Chou L, Aitken D, McBride A, Ding C, Blizzard L, Pelletier JP, Martel-Pelletier J, Cicuttini F, Jones G. Correlation Between Changes in Global Knee Structures Assessed by Magnetic Resonance Imaging and Radiographic Osteoarthritis Changes Over Ten Years in a Midlife Cohort. Arthritis Care Res (Hoboken) 2016; 68:958-64. [DOI: 10.1002/acr.22778] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Revised: 09/10/2015] [Accepted: 10/27/2015] [Indexed: 12/12/2022]
Affiliation(s)
- Hussain Ijaz Khan
- Menzies Institute for Medical Research, University of Tasmania, Hobart; Tasmania Australia
| | - Louisa Chou
- Menzies Institute for Medical Research, University of Tasmania, Hobart; Tasmania Australia
| | - Dawn Aitken
- Menzies Institute for Medical Research, University of Tasmania, Hobart; Tasmania Australia
| | - Andrew McBride
- Menzies Institute for Medical Research, University of Tasmania, Hobart; Tasmania Australia
| | - Changhai Ding
- Menzies Institute for Medical Research, University of Tasmania, Hobart; Tasmania Australia
| | - Leigh Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Hobart; Tasmania Australia
| | | | | | | | - Graeme Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart; Tasmania Australia
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27
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Jeuken RM, Roth AK, Peters RJRW, Van Donkelaar CC, Thies JC, Van Rhijn LW, Emans PJ. Polymers in Cartilage Defect Repair of the Knee: Current Status and Future Prospects. Polymers (Basel) 2016; 8:E219. [PMID: 30979313 PMCID: PMC6432241 DOI: 10.3390/polym8060219] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 05/26/2016] [Accepted: 05/31/2016] [Indexed: 02/06/2023] Open
Abstract
Cartilage defects in the knee are often seen in young and active patients. There is a need for effective joint preserving treatments in patients suffering from cartilage defects, as untreated defects often lead to osteoarthritis. Within the last two decades, tissue engineering based techniques using a wide variety of polymers, cell sources, and signaling molecules have been evaluated. We start this review with basic background information on cartilage structure, its intrinsic repair, and an overview of the cartilage repair treatments from a historical perspective. Next, we thoroughly discuss polymer construct components and their current use in commercially available constructs. Finally, we provide an in-depth discussion about construct considerations such as degradation rates, cell sources, mechanical properties, joint homeostasis, and non-degradable/hybrid resurfacing techniques. As future prospects in cartilage repair, we foresee developments in three areas: first, further optimization of degradable scaffolds towards more biomimetic grafts and improved joint environment. Second, we predict that patient-specific non-degradable resurfacing implants will become increasingly applied and will provide a feasible treatment for older patients or failed regenerative treatments. Third, we foresee an increase of interest in hybrid construct, which combines degradable with non-degradable materials.
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Affiliation(s)
- Ralph M Jeuken
- Department of Orthopaedic Surgery, Maastricht University Medical Center, P. Debyelaan 25, Maastricht 6229 HX, The Netherlands.
| | - Alex K Roth
- Department of Orthopaedic Surgery, Maastricht University Medical Center, P. Debyelaan 25, Maastricht 6229 HX, The Netherlands.
| | | | - Corrinus C Van Donkelaar
- Department of Biomedical Engineering, Eindhoven University of Technology, P.O. Box 513, Eindhoven 5600 MB, The Netherlands.
| | - Jens C Thies
- DSM Biomedical, Koestraat 1, Geleen 6167 RA, The Netherlands.
| | - Lodewijk W Van Rhijn
- Department of Orthopaedic Surgery, Maastricht University Medical Center, P. Debyelaan 25, Maastricht 6229 HX, The Netherlands.
| | - Pieter J Emans
- Department of Orthopaedic Surgery, Maastricht University Medical Center, P. Debyelaan 25, Maastricht 6229 HX, The Netherlands.
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28
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Schwaiger BJ, Gersing AS, Mbapte Wamba J, Nevitt MC, McCulloch CE, Link TM. Can Signal Abnormalities Detected with MR Imaging in Knee Articular Cartilage Be Used to Predict Development of Morphologic Cartilage Defects? 48-Month Data from the Osteoarthritis Initiative. Radiology 2016; 281:158-67. [PMID: 27135833 DOI: 10.1148/radiol.2016152308] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Purpose To determine the incidence with which morphologic articular cartilage defects develop over 48 months in cartilage with signal abnormalities at baseline magnetic resonance (MR) imaging in comparison with the incidence in articular cartilage without signal abnormalities at baseline. Materials and Methods The institutional review boards of all participating centers approved this HIPAA-compliant study. Right knees of 90 subjects from the Osteoarthritis Initiative (mean age, 55 years ± 8 [standard deviation]; 51% women) with cartilage signal abnormalities but without morphologic cartilage defects at 3.0-T MR imaging and without radiographic osteoarthritis (Kellgren-Lawrence score, 0-1) were frequency matched for age, sex, Kellgren-Lawrence score, and body mass index with right knees in 90 subjects without any signal abnormalities or morphologic defects in the articular cartilage (mean age, 54 years ± 5; 51% women). Individual signal abnormalities (n = 126) on intermediate-weighted fast spin-echo MR images were categorized into four subgrades: subgrade A, hypointense; subgrade B, inhomogeneous; subgrade C, hyperintense; and subgrade D, hyperintense with swelling. The development of morphologic articular cartilage defects (Whole-Organ MR Imaging Score ≥2) at 48 months was analyzed on a compartment level and was compared between groups by using generalized estimating equation logistic regression models. Results Cartilage signal abnormalities were more frequent in the patellofemoral joint than in the tibiofemoral joint (59.5% vs 39.5%). Subgrade A was seen more frequently than were subgrades C and D (36% vs 22%). Incidence of morphologic cartilage defects at 48 months was 57% in cartilage with baseline signal abnormalities, while only 4% of compartments without baseline signal abnormalities developed morphologic defects at 48 months (all compartments combined and each compartment separately, P < .01). The development of morphologic defects was not significantly more likely in any of the subgrades (P = .98) and was significantly associated with progression of bone marrow abnormalities (P = .002). Conclusion Knee cartilage signal abnormalities detected with MR imaging are precursors of morphologic defects with osteoarthritis and may serve as imaging biomarkers with which to assess risk for cartilage degeneration. (©) RSNA, 2016.
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Affiliation(s)
- Benedikt J Schwaiger
- From the Departments of Radiology and Biomedical Imaging (B.J.S., A.S.G., J.M.W., T.M.L.) and Epidemiology and Biostatistics (M.C.N., C.E.M.), University of California, San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94107
| | - Alexandra S Gersing
- From the Departments of Radiology and Biomedical Imaging (B.J.S., A.S.G., J.M.W., T.M.L.) and Epidemiology and Biostatistics (M.C.N., C.E.M.), University of California, San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94107
| | - John Mbapte Wamba
- From the Departments of Radiology and Biomedical Imaging (B.J.S., A.S.G., J.M.W., T.M.L.) and Epidemiology and Biostatistics (M.C.N., C.E.M.), University of California, San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94107
| | - Michael C Nevitt
- From the Departments of Radiology and Biomedical Imaging (B.J.S., A.S.G., J.M.W., T.M.L.) and Epidemiology and Biostatistics (M.C.N., C.E.M.), University of California, San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94107
| | - Charles E McCulloch
- From the Departments of Radiology and Biomedical Imaging (B.J.S., A.S.G., J.M.W., T.M.L.) and Epidemiology and Biostatistics (M.C.N., C.E.M.), University of California, San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94107
| | - Thomas M Link
- From the Departments of Radiology and Biomedical Imaging (B.J.S., A.S.G., J.M.W., T.M.L.) and Epidemiology and Biostatistics (M.C.N., C.E.M.), University of California, San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94107
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Deveza LA, Hunter DJ. Editorial: Unraveling Osteoarthritis Pathogenesis: New Insights Into Preradiographic Disease and Patient Phenotypes. Arthritis Rheumatol 2016; 67:3097-100. [PMID: 26414537 DOI: 10.1002/art.39439] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2015] [Accepted: 09/10/2015] [Indexed: 11/08/2022]
Affiliation(s)
- Leticia A Deveza
- Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute of Medical Research, and University of Sydney, Sydney, New South Wales, Australia
| | - David J Hunter
- Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute of Medical Research, and University of Sydney, Sydney, New South Wales, Australia
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30
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Wang Y, Teichtahl AJ, Cicuttini FM. Osteoarthritis year in review 2015: imaging. Osteoarthritis Cartilage 2016; 24:49-57. [PMID: 26707992 DOI: 10.1016/j.joca.2015.07.027] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Accepted: 07/30/2015] [Indexed: 02/02/2023]
Abstract
PURPOSE This narrative review covers original publications related to imaging in osteoarthritis (OA) published in English between 1 April 2014 and 30 April 2015. Novel lessons relating to imaging are described. METHODS An extensive PubMed database search was performed based on, but not limited to the terms "OA" in combination with "Magnetic resonance imaging (MRI)", "Imaging", "Radiography", "Ultrasound", "Computed tomography (CT)" and "Nuclear medicine" to extract relevant studies. In vitro data and animal studies were excluded. This review focuses on the new developments and observations based on the aforementioned imaging modalities, as well as a 'whole-organ' approach by presenting findings from different tissues (bone, meniscus, synovium, muscle and fat) and joints (hip, lumbar spine and hand). RESULTS AND CONCLUSIONS Over the past year, studies using imagine have made a major contribution to the understanding of the pathogenesis of OA. Significant work has continued at the knee, with MRI now being increasingly used to assess structural endpoints in clinical trials. This offers the exciting opportunity to explore potential disease modifying OA therapies. There has been a clear interest in the role of bone in the pathogenesis of OA. There is now a growing body of literature examining the pathogenesis of OA at the hip, lumbar spine and hand. The future of imaging in OA offers the exciting potential to better understand the disease process across all joints and develop more effective preventive and therapeutic interventions.
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Affiliation(s)
- Y Wang
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Melbourne, VIC 3004, Australia
| | - A J Teichtahl
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Melbourne, VIC 3004, Australia; Baker IDI Heart and Diabetes Institute, Commercial Road, Melbourne, VIC 3004, Australia
| | - F M Cicuttini
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Melbourne, VIC 3004, Australia.
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31
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Guermazi A, Alizai H, Crema MD, Trattnig S, Regatte RR, Roemer FW. Compositional MRI techniques for evaluation of cartilage degeneration in osteoarthritis. Osteoarthritis Cartilage 2015; 23:1639-53. [PMID: 26050864 DOI: 10.1016/j.joca.2015.05.026] [Citation(s) in RCA: 155] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Revised: 04/26/2015] [Accepted: 05/25/2015] [Indexed: 02/02/2023]
Abstract
Osteoarthritis (OA), a leading cause of disability, affects 27 million people in the United States and its prevalence is rising along with the rise in obesity. So far, biomechanical or behavioral interventions as well as attempts to develop disease-modifying OA drugs have been unsuccessful. This may be partly due to antiquated imaging outcome measures such as radiography, which are still endorsed by regulatory agencies such as the United States Food and Drug Administration (FDA) for use in clinical trials. Morphological magnetic resonance imaging (MRI) allows unparalleled multi-feature assessment of the OA joint. Furthermore, advanced MRI techniques also enable evaluation of the biochemical or ultrastructural composition of articular cartilage relevant to OA research. These compositional MRI techniques have the potential to supplement clinical MRI sequences in identifying cartilage degeneration at an earlier stage than is possible today using morphologic sequences only. The purpose of this narrative review is to describe compositional MRI techniques for cartilage evaluation, which include T2 mapping, T2* Mapping, T1 rho, dGEMRIC, gagCEST, sodium imaging and diffusion weighted imaging (DWI). We also reviewed relevant clinical studies that have utilized these techniques for the study of OA. The different techniques are complementary. Some focus on isotropy or the collagen network (e.g., T2 mapping) and others are more specific in regard to tissue composition, e.g., gagCEST or dGEMRIC that convey information on the GAG concentration. The application and feasibility of these techniques is also discussed, as they will play an important role in implementation in larger clinical trials and eventually clinical practice.
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Affiliation(s)
- A Guermazi
- Department of Radiology, Boston University School of Medicine, Boston, MA, USA; Department of Research, Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Qatar.
| | - H Alizai
- Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Department of Radiology, New York University Langone Medical Center, New York, NY, USA
| | - M D Crema
- Department of Radiology, Boston University School of Medicine, Boston, MA, USA; Department of Research, Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Qatar; Department of Radiology, Hospital do Coração and Teleimagem, São Paulo, Brazil
| | - S Trattnig
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - R R Regatte
- Department of Radiology, New York University Langone Medical Center, New York, NY, USA
| | - F W Roemer
- Department of Radiology, Boston University School of Medicine, Boston, MA, USA; Department of Research, Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Qatar; Department of Radiology, University of Erlangen, Erlangen, Germany
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