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Ge L, Zhang X, Zhu R, Cai G. Bone marrow lesions in osteoarthritis: biomarker or treatment target? A narrative review. Skeletal Radiol 2024:10.1007/s00256-024-04725-0. [PMID: 38877110 DOI: 10.1007/s00256-024-04725-0] [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: 03/27/2024] [Revised: 06/05/2024] [Accepted: 06/05/2024] [Indexed: 06/16/2024]
Abstract
Osteoarthritis (OA) is a leading cause of pain, functional impairment, and disability in older adults. However, there are no effective treatments to delay and reverse OA. Magnetic resonance imaging (MRI) can assess structural abnormalities of OA by directly visualizing damage and inflammatory reactions within the tissues and detecting abnormal signals in the subchondral bone marrow region. While some studies have shown that bone marrow lesions (BMLs) are one of the early signs of the development of OA and predict structural and symptomatic progression of OA, others claimed that BMLs are prevalent in the general population and have no role in the progression of OA. In this narrative review, we screened and summarized studies with different designs that evaluated the association of BMLs with joint symptoms and structural abnormalities of OA. We also discussed whether BMLs may serve as an imaging biomarker and a treatment target for OA based on existing clinical trials.
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Affiliation(s)
- Liru Ge
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xiaoyue Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Rui Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Guoqi Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia.
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2
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Improving knee osteoarthritis classification using multimodal intermediate fusion of X-ray, MRI, and clinical information. Neural Comput Appl 2023. [DOI: 10.1007/s00521-023-08214-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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3
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Wang M, Gao W. Fixation of platelet-rich plasma and fibrin gels on knee cartilage defects after microfracture with arthroscopy. INTERNATIONAL ORTHOPAEDICS 2022; 46:1761-1766. [PMID: 35396606 PMCID: PMC9349071 DOI: 10.1007/s00264-022-05377-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 03/10/2022] [Indexed: 01/10/2023]
Abstract
PURPOSE An investigation of arthroscopic surgery combined with coverage of the microfractured wound surface with platelet-rich plasma (PRP) and fibrin gels (FG) to treat knee cartilage defects. METHODS Between February 2017 and February 2020, 145 patients with knee cartilage defects were treated. Only isolated full-thickness cartilage defects were included, and 28 patients (12 men and 16 women) were included in this study. They were all treated with arthroscopic surgery on subchondral bones, filled with PRP and thrombin, and sealed with FG. The knee pain visual analogue scale (VAS) scores were measured after the patients climbed ten stairs up and down, and the Western Ontario and McMaster Universities osteoarthritis index and the area of cartilage defects were measured through the pre-operative and post-operative follow-up. The complication incidences were also observed. RESULTS All patients were followed up for ten to 15 months (median 12 months). The knee pain VAS scores decreased from 6.57 ± 1.07 pre-operatively to 2.09 ± 1.35 at the last follow-up. The WOMAC osteoarthritis index decreased from 44.32 ± 3.95 (mean ± sd) pre-operatively to 16.57 ± 2.20 by the last follow-up. The cartilage defect decreased from 2.93 ± 0.65 cm2 pre-operatively to 1.09 ± 0.69 cm2 at the last follow-up. All scores showed statistically significant improvements after surgery (p < 0.05). No complications were observed. CONCLUSION The combination therapy of arthroscopic surgery and covering the microfractured wound surface with PRP and FG can repair knee cartilage defects, relieve pain, and improve function, and is a safe and effective treatment.
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Affiliation(s)
- Mingjun Wang
- Luoyang Orthopedic Hospital of Henan Province & Orthopedic Hospital of Henan Province, No.100 Yongping Road, Zhengzhou, 450046, Henan Province, China
| | - Wenxiang Gao
- Luoyang Orthopedic Hospital of Henan Province & Orthopedic Hospital of Henan Province, No.100 Yongping Road, Zhengzhou, 450046, Henan Province, China.
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Dai W, Leng X, Wang J, Shi Z, Cheng J, Hu X, Ao Y. Intra-Articular Mesenchymal Stromal Cell Injections Are No Different From Placebo in the Treatment of Knee Osteoarthritis: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Arthroscopy 2021; 37:340-358. [PMID: 33098949 DOI: 10.1016/j.arthro.2020.10.016] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 10/08/2020] [Accepted: 10/08/2020] [Indexed: 02/02/2023]
Abstract
PURPOSE To evaluate the efficacy and safety of intra-articular mesenchymal stromal cells (MSCs) injections for knee osteoarthritis (OA) treatment. METHODS We performed a systematic literature search in PubMed, Embase, Scopus, and the Cochrane Library through April 2020 to identify level I randomized controlled trials (RCTs) that evaluated the clinical efficacy of MSCs versus control treatments for knee OA. Outcomes were analyzed on an intention-to-treat basis with random-effects models. RESULTS A total of 13 RCTs were included in the meta-analysis. Compared with placebo, there was no significant difference in VAS for pain (mean difference [MD] 1.62, 95% confidence interval [CI -0.60 to 3.85), WOMAC pain score (MD 1.88, 95% CI -0.21 to 3.98), WOMAC function score (MD -0.67, 95% CI -6.54 to 5.19), or WOMAC stiffness score (MD 0.64, 95% CI -0.86 to 2.14) for MSCs. Moreover, the smallest treatment effect of VAS for pain, WOMAC pain score, WOMAC function score, and WOMAC stiffness score did not exceed the minimum clinically important difference (MCID). Additionally, there was no significant difference in percentage of patients crossing the MCID threshold between MSC and placebo groups for VAS for pain (relative risk [RR] 0.93, 95% CI 0.55 to 1.57) or WOMAC total score (RR 0.40, 95% CI 0.13 to 1.21). Compared with hyaluronic acid (HA), MSC injection was associated with significantly better improvement in VAS for pain (MD 2.00, 95% CI 0.94 to 3.07), WOMAC pain score (MD 4.58, 95% CI 0.49 to 8.67), WOMAC total score (MD 14.86, 95% CI 10.59 to 19.13), and WOMAC stiffness score (MD 1.85, 95% CI 0.02 to 3.69). However, the smallest treatment effect of VAS for pain, WOMAC pain score, WOMAC function score, and WOMAC stiffness score did not exceed the MCID. Moreover, there was no significant difference in percentage of patients crossing the MCID threshold between MSC and HA groups for WOMAC total score (RR 0.57, 95% CI 0.21 to 1.55). We also found that MSCs did not increase adverse events compared with HA and placebo. CONCLUSIONS Intra-articular MSC injection was not found to be superior to placebo in pain relief and functional improvement for patients with symptomatic knee OA. However, additional direct testing and combination trials of different type of cells, doses, and number of injections of MSCs are required to further enhance clinical decision making for people with symptomatic knee OA. LEVEL OF EVIDENCE I, meta-analysis of level I studies.
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Affiliation(s)
- Wenli Dai
- Institute of Sports Medicine, Beijing Key Laboratory of Sports Injuries, Peking University Third Hospital, Beijing, People's Republic of China
| | - Xi Leng
- Medical Imaging Center, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong, People's Republic of China
| | - Jian Wang
- Department of Orthopedic Surgery, Nanfang Hospital, Southern Medical University, Guangdong, People's Republic of China
| | - Zhanjun Shi
- Department of Orthopedic Surgery, Nanfang Hospital, Southern Medical University, Guangdong, People's Republic of China
| | - Jin Cheng
- Institute of Sports Medicine, Beijing Key Laboratory of Sports Injuries, Peking University Third Hospital, Beijing, People's Republic of China
| | - Xiaoqing Hu
- Institute of Sports Medicine, Beijing Key Laboratory of Sports Injuries, Peking University Third Hospital, Beijing, People's Republic of China.
| | - Yingfang Ao
- Institute of Sports Medicine, Beijing Key Laboratory of Sports Injuries, Peking University Third Hospital, Beijing, People's Republic of China.
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Saltzman BM, Riboh JC. Subchondral Bone and the Osteochondral Unit: Basic Science and Clinical Implications in Sports Medicine. Sports Health 2018; 10:412-418. [PMID: 29932862 PMCID: PMC6116098 DOI: 10.1177/1941738118782453] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Context: Articular cartilage injuries and early osteoarthritis are among the most common
conditions seen by sports medicine physicians. Nonetheless, treatment options for
articular degeneration are limited once the osteoarthritic cascade has started. Intense
research is focused on the use of biologics, cartilage regeneration, and transplantation
to help maintain and improve cartilage health. An underappreciated component of joint
health is the subchondral bone. Evidence Acquisition: A comprehensive, nonsystematic review of the published literature was completed via a
PubMed/MEDLINE search of the keywords “subchondral” AND “bone” from database inception
through December 1, 2016. Study Design: Clinical review. Level of Evidence: Level 4. Methods: Articles collected via the database search were assessed for the association of bone
marrow lesions and osteoarthritis, cartilage regeneration, and ligamentous and meniscal
injury; the clinical disorder known as painful bone marrow edema syndrome; and the
subchondral bone as a target for medical and surgical intervention. Results: A complex interplay exists between the articular cartilage of the knee and its
underlying subchondral bone. The role of subchondral bone in the knee is intimately
related to the outcomes from cartilage restoration procedures, ligamentous injury,
meniscal pathology, and osteoarthritis. However, subchondral bone is often neglected
when it should be viewed as a critical element of the osteochondral unit and a key
player in joint health. Conclusion: Continued explorations into the intricacies of subchondral bone marrow abnormalities
and implications for the advent of procedures such as subchondroplasty will inform
further research efforts on how interventions aimed at the subchondral bone may provide
durable options for knee joint preservation.
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Affiliation(s)
- Bryan M Saltzman
- Department of Orthopedic Surgery, Rush University Medical Center, Chicago, Illinois
| | - Jonathan C Riboh
- Department of Orthopedic Surgery, Section of Sports Medicine, Duke University, Durham, North Carolina
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LaValley MP, Lo GH, Price LL, Driban JB, Eaton CB, McAlindon TE. Development of a clinical prediction algorithm for knee osteoarthritis structural progression in a cohort study: value of adding measurement of subchondral bone density. Arthritis Res Ther 2017; 19:95. [PMID: 28511690 PMCID: PMC5433155 DOI: 10.1186/s13075-017-1291-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 04/07/2017] [Indexed: 11/30/2022] Open
Abstract
Background Risk prediction algorithms increase understanding of which patients are at greatest risk of a harmful outcome. Our goal was to create a clinically useful prediction algorithm for structural progression of knee osteoarthritis (OA), using medial joint space loss as a proxy; and to quantify the benefit of including periarticular bone mineral density (BMD) in the algorithm. Methods Participants were from the Osteoarthritis Initiative (OAI) Progression Cohort, with X-ray readings of medial joint space at 36- and 48-month visits, and a 30- or 36-month medial-to-lateral tibial BMD ratio (M:L BMD ratio) value. Loss of medial joint space was the outcome and clinically available factors associated with OA progression were employed in the base prediction algorithm, with M:L BMD ratio added to an enhanced prediction algorithm. The benefit of adding M:L BMD ratio was evaluated by change in area under the ROC curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Results Five hundred thirty-three participants were included; 51 (14%) had medial joint space loss; 47% were female; the mean (SD) age was 64.6 (9.2) years and BMI was 29.6 (4.8) kg/m2. The base algorithm model included age, BMI, gender, recent injury, knee pain, and hand OA as predictors and had an AUC value of 0.65. The algorithm adding M:L BMD ratio had an AUC value of 0.73, and the AUC, NRI and IDI were all significantly improved (p ≤ 0.002). Conclusions This clinical prediction algorithm predicts structural progression in individuals with OA using only clinically available predictors supplemented by the M:L BMD ratio, a biomarker that could be made available at clinical sites.
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Affiliation(s)
- Michael P LaValley
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA
| | - Grace H Lo
- Medical Care Line and Research Care Line, Houston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Medical Center, Houston, TX, 77030, USA.,Section of Immunology, Allergy, and Rheumatology, Baylor College of Medicine, 1 Baylor Plaza, BCM-285, Houston, TX, 77030, USA
| | - Lori Lyn Price
- Institute for Clinical Research and Health Policy Studies at Tufts Medical Center, Tufts Clinical and Translational Science Institute, Tufts University, 800 Washington Street, Box #63, Boston, MA, 02111, USA
| | - Jeffrey B Driban
- Division of Rheumatology Tufts Medical Center, Box #406, 800 Washington Street, Boston, MA, 02111, USA
| | - Charles B Eaton
- Department of Family Medicine, Alpert Medical School of Brown University, 111 Brewster Street, Pawtucket, RI, 02860, USA
| | - Timothy E McAlindon
- Division of Rheumatology Tufts Medical Center, Box #406, 800 Washington Street, Boston, MA, 02111, USA.
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Sakellariou G, Conaghan PG, Zhang W, Bijlsma JWJ, Boyesen P, D'Agostino MA, Doherty M, Fodor D, Kloppenburg M, Miese F, Naredo E, Porcheret M, Iagnocco A. EULAR recommendations for the use of imaging in the clinical management of peripheral joint osteoarthritis. Ann Rheum Dis 2017; 76:1484-1494. [DOI: 10.1136/annrheumdis-2016-210815] [Citation(s) in RCA: 114] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2016] [Revised: 02/25/2017] [Accepted: 03/05/2017] [Indexed: 11/04/2022]
Abstract
The increased information provided by modern imaging has led to its more extensive use. Our aim was to develop evidence-based recommendations for the use of imaging in the clinical management of the most common arthropathy, osteoarthritis (OA). A task force (including rheumatologists, radiologists, methodologists, primary care doctors and patients) from nine countries defined 10 questions on the role of imaging in OA to support a systematic literature review (SLR). Joints of interest were the knee, hip, hand and foot; imaging modalities included conventional radiography (CR), MRI, ultrasonography, CT and nuclear medicine. PubMed and EMBASE were searched. The evidence was presented to the task force who subsequently developed the recommendations. The strength of agreement for each recommendation was assessed. 17 011 references were identified from which 390 studies were included in the SLR. Seven recommendations were produced, covering the lack of need for diagnostic imaging in patients with typical symptoms; the role of imaging in differential diagnosis; the lack of benefit in monitoring when no therapeutic modification is related, though consideration is required when unexpected clinical deterioration occurs; CR as the first-choice imaging modality; consideration of how to correctly acquire images and the role of imaging in guiding local injections. Recommendations for future research were also developed based on gaps in evidence, such as the use of imaging in identifying therapeutic targets, and demonstrating the added value of imaging. These evidence-based recommendations and related research agenda provide the basis for sensible use of imaging in routine clinical assessment of people with OA.
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Edwards MH, Parsons C, Bruyère O, Petit Dop F, Chapurlat R, Roemer FW, Guermazi A, Zaim S, Genant H, Reginster JY, Dennison EM, Cooper C. High Kellgren-Lawrence Grade and Bone Marrow Lesions Predict Worsening Rates of Radiographic Joint Space Narrowing; The SEKOIA Study. J Rheumatol 2016; 43:657-65. [PMID: 26773120 DOI: 10.3899/jrheum.150053] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/11/2015] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Determinants of radiographic progression in osteoarthritis (OA) are poorly understood. We investigated which features on baseline magnetic resonance imaging (MRI) acted as predictors of change in joint space width (JSW). METHODS A total of 559 men and women over the age of 50 years with clinical knee OA [Kellgren-Lawrence (KL) grade 2-3] were recruited to the placebo arm of the SEKOIA study (98 centers; 18 countries). Minimal tibiofemoral joint space and KL grade on plain radiograph of the knee were assessed at baseline and at yearly followup up to 3 years. In a subset, serial knee MRI examinations were performed. Individuals with a bone marrow lesion (BML) ≥ grade 2 at the tibiofemoral joint at baseline were classified as BML-positive. Relationships between change in JSW and risk factors were assessed using linear regression. RESULTS The mean age of study participants was 62.8 (SD 7.5) years and 73% were female; 38.6% had BML. Mean baseline JSW was 3.65 mm. This reduced by 0.18 (0.30) mm/year in men and 0.13 (0.23) mm/year in women. Those with BML had a significantly higher rate of annualized change in JSW; this relationship remained robust after adjustment for age, sex, and baseline KL grade [β = -0.10 (95% CI -0.18, -0.02) mm/yr]. Age, sex, baseline KL grade, and other MRI findings did not influence the rate of change in JSW. CONCLUSION The rate of change in JSW was similar in men and women. BML on knee MRI predicted the rate of radiographic change in JSW. This relationship was independent of age, sex, and baseline KL grade.
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Affiliation(s)
- Mark H Edwards
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
| | - Camille Parsons
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
| | - Olivier Bruyère
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
| | - Forence Petit Dop
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
| | - Roland Chapurlat
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
| | - Frank W Roemer
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
| | - Ali Guermazi
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
| | - Souhil Zaim
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
| | - Harry Genant
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
| | - Jean-Yves Reginster
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
| | - Elaine M Dennison
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
| | - Cyrus Cooper
- From the MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Department of Public Health and Health Economics, University of Liege, Liege, Belgium; Innovative Therapeutic Pole of Rheumatology, Servier, Surenes, France; INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon, Lyon, France; Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, University of Erlangen-Nuremburg, Erlangen, Germany; Synarc, San Francisco, California, USA; Department of Public Health and Health Economics, University of Liege; NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton General Hospital; and NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.M.H. Edwards, MD, PhD; C. Parsons, MSc, MRC Lifecourse Epidemiology Unit, University of Southampton; O. Bruyère, PhD, Department of Public Health and Health Economics, University of Liege; F. Petit Dop, PhD, Innovative Therapeutic Pole of Rheumatology; R. Chapurlat, MD, PhD, INSERM UMR 1033, Service de Rhumatolgie et Pathologie Osseuse, Hôpital Edouard Herriot, Université de Lyon; F.W. Roemer, MD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; Department of Radiology, University of Erlangen-Nuremburg; A. Guermazi, MD, PhD, Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine; S. Zaim, MD, Synarc; H. Genant, MD, Synarc; J-Y. Reginster, MD, PhD, Department of Public Health and Health Economics, University of Liege; E.M. Dennison, MD, PhD, MRC Lifecourse Epidemiology Unit, University of Southampton; Victoria University; C. Cooper, FMedSci, MRC Lifecourse Epidemiology Unit, University of Southampton; NIHR Biomedical
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Spasić I, Zhao B, Jones CB, Button K. KneeTex: an ontology-driven system for information extraction from MRI reports. J Biomed Semantics 2015; 6:34. [PMID: 26347806 PMCID: PMC4561435 DOI: 10.1186/s13326-015-0033-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 08/21/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In the realm of knee pathology, magnetic resonance imaging (MRI) has the advantage of visualising all structures within the knee joint, which makes it a valuable tool for increasing diagnostic accuracy and planning surgical treatments. Therefore, clinical narratives found in MRI reports convey valuable diagnostic information. A range of studies have proven the feasibility of natural language processing for information extraction from clinical narratives. However, no study focused specifically on MRI reports in relation to knee pathology, possibly due to the complexity of knee anatomy and a wide range of conditions that may be associated with different anatomical entities. In this paper we describe KneeTex, an information extraction system that operates in this domain. METHODS As an ontology-driven information extraction system, KneeTex makes active use of an ontology to strongly guide and constrain text analysis. We used automatic term recognition to facilitate the development of a domain-specific ontology with sufficient detail and coverage for text mining applications. In combination with the ontology, high regularity of the sublanguage used in knee MRI reports allowed us to model its processing by a set of sophisticated lexico-semantic rules with minimal syntactic analysis. The main processing steps involve named entity recognition combined with coordination, enumeration, ambiguity and co-reference resolution, followed by text segmentation. Ontology-based semantic typing is then used to drive the template filling process. RESULTS We adopted an existing ontology, TRAK (Taxonomy for RehAbilitation of Knee conditions), for use within KneeTex. The original TRAK ontology expanded from 1,292 concepts, 1,720 synonyms and 518 relationship instances to 1,621 concepts, 2,550 synonyms and 560 relationship instances. This provided KneeTex with a very fine-grained lexico-semantic knowledge base, which is highly attuned to the given sublanguage. Information extraction results were evaluated on a test set of 100 MRI reports. A gold standard consisted of 1,259 filled template records with the following slots: finding, finding qualifier, negation, certainty, anatomy and anatomy qualifier. KneeTex extracted information with precision of 98.00 %, recall of 97.63 % and F-measure of 97.81 %, the values of which are in line with human-like performance. CONCLUSIONS KneeTex is an open-source, stand-alone application for information extraction from narrative reports that describe an MRI scan of the knee. Given an MRI report as input, the system outputs the corresponding clinical findings in the form of JavaScript Object Notation objects. The extracted information is mapped onto TRAK, an ontology that formally models knowledge relevant for the rehabilitation of knee conditions. As a result, formally structured and coded information allows for complex searches to be conducted efficiently over the original MRI reports, thereby effectively supporting epidemiologic studies of knee conditions.
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Affiliation(s)
- Irena Spasić
- School of Computer Science & Informatics, Cardiff University, Cardiff, CF24 3AA UK
| | - Bo Zhao
- School of Computer Science & Informatics, Cardiff University, Cardiff, CF24 3AA UK
| | - Christopher B Jones
- School of Computer Science & Informatics, Cardiff University, Cardiff, CF24 3AA UK
| | - Kate Button
- School of Healthcare Sciences, Cardiff University, Cardiff, CF14 4XN UK
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Shah RP, Stambough JB, Fenty M, Mauck RL, Kelly JD, Reddy R, Tjoumakaris FP. T1rho Magnetic Resonance Imaging at 3T Detects Knee Cartilage Changes After Viscosupplementation. Orthopedics 2015; 38:e604-10. [PMID: 26186323 DOI: 10.3928/01477447-20150701-59] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2014] [Accepted: 09/02/2014] [Indexed: 02/03/2023]
Abstract
Viscosupplementation may affect cartilage. Changes in T1rho magnetic resonance imaging (MRI) relaxation times correlate with proteoglycan changes in cartilage. The authors hypothesized that T1rho MRI will show an improvement in proteoglycan content at 6 weeks and 3 months after viscosupplementation and that this improvement will correlate with functional outcome scores. Ten patients (mean age, 56 years; Kellgren-Lawrence grade 1 or 2) underwent T1rho MRI at baseline, 6 weeks, and 3 months after viscosupplementation. Volumetric T1rho means were calculated by depth and region. Visual analog scale (VAS), International Knee Documentation Committee (IKDC), and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores were obtained. Mean T1rho values decreased in the superficial patella at 6 weeks (10.3%, P=.002) and 3 months (7.9%, P=.018) and in the middle patella at 6 weeks (7.0%, P=.014) compared with baseline values. Deep patella T1rho values increased at 3 months compared with 6 weeks (9.9%, P=.033), returning to values similar to baseline. Mean T1rho values increased in the deep tibia at 6 weeks (4.7%, P=.048) and in the middle tibia (5.2%, P=.004) and deep tibia (11.2%, P=.002) at 3 months compared with baseline. At 6 weeks, improvement was seen in VAS (5.9 to 3.9, P<.01), IKDC-9 (55.3 to 63.7, P=.03), and WOMAC (43.9 to 32.8, P=.03) scores. Functional VAS (4.0, P=.02), IKDC-9 (67.8, P=.04), and WOMAC (30.0, P=.04) scores remained better at 3 months. T1rho MRI is a feasible noninvasive method of studying molecular changes in cartilage. Some segments improved after viscosupplementation, and others worsened, possibly reflecting natural history or symptom relief and subsequent increase in activity-related wear.
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Association between the severity of femoral condylar cartilage erosion related to knee osteoarthritis by ultrasonographic evaluation and the clinical symptoms and functions. Arch Phys Med Rehabil 2015; 96:837-44. [PMID: 25596002 DOI: 10.1016/j.apmr.2015.01.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Revised: 11/18/2014] [Accepted: 01/03/2015] [Indexed: 01/15/2023]
Abstract
OBJECTIVE To determine the association between the severity of femoral condylar cartilage erosion resulting from knee osteoarthritis (OA) by an ultrasonographic grading system and the clinical symptoms and functions. DESIGN Cross-sectional study. SETTING A tertiary center. PARTICIPANTS Participants (N=101) with and without subjective complaints of knee discomfort were consecutively enrolled. Patients who had ever received knee arthroplasty, who had inflammatory arthritis, and whose knee flexion range of motion was <90° were excluded. A total of 194 knees were evaluated. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES A semiquantitative ultrasonographic grading system was used to evaluate the severity of femoral condylar cartilage erosion. The clinical symptoms and functions were evaluated with the visual analog scale (VAS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and Lequesne index. The association of the VAS/WOMAC/Lequesne index with the ultrasonographic grading was assessed. RESULTS Positive linear associations were found between the ultrasonographic grading and the following: the VAS and the total scores and pain subscales of both the Lequesne index and WOMAC. Multivariate logistic regression analysis revealed grade-dependent association between VAS and ultrasonographic grading after adjusting for age, sex, and body mass index. The WOMAC and Lequesne index scores were associated with the ultrasonographic grading in more severe degrees, particularly in the pain subscales. CONCLUSIONS This semiquantitative ultrasonographic grading system may well reflect the clinical symptoms and functions related to knee OA as evaluated by the VAS, WOMAC, and Lequesne index. This method provides a more comprehensive description and measurement of knee OA.
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Alizai H, Virayavanich W, Joseph GB, Nardo L, Liu F, Liebl H, Nevitt MC, Lynch JA, McCulloch CE, Link TM. Cartilage lesion score: comparison of a quantitative assessment score with established semiquantitative MR scoring systems. Radiology 2014; 271:479-87. [PMID: 24475848 DOI: 10.1148/radiol.13122056] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
PURPOSE To describe a scoring system for quantification of cartilage lesions (Cartilage Lesion Score [CaLS]), to determine its reproducibility, to examine the association of CaLS-detected longitudinal change with known risk factors for osteoarthritis (OA) progression by comparing a group of subjects with OA risk factors with a group of subjects without OA risk factors, and to compare the CaLS system with the established semiquantitative Whole-Organ Magnetic Resonance Imaging Score (WORMS) and Boston-Leeds Osteoarthritis Knee Score (BLOKS) systems in terms of detection of cartilage defect progression. MATERIALS AND METHODS All subjects provided written informed consent, and the local institutional review board approved this HIPAA-compliant study. Fifty-two subjects with and 25 subjects without risk factors for knee OA were randomly selected from the Osteoarthritis Initiative. Inclusion criteria were age of 45-60 years, body mass index of 19-27 kg/m(2), and no knee pain or OA on radiographs at baseline. Baseline and 24-month follow-up right knee 3-T magnetic resonance images were analyzed with WORMS, BLOKS, and CaLS systems. Progression of cartilage lesions with each scoring system was compared by using multilevel mixed-effects linear-regression models. κ values were calculated to determine reliability. RESULTS Intraclass coefficient values for inter- and intraobserver reliability of the CaLS system were 0.86 and 0.91, respectively. Interobserver κ value range for individual features was 0.81-0.94. The CaLS system enabled significantly higher detection of cartilage lesion progression than did WORMS or BLOKS systems (P < .001); 51.8% (56 of 108), 17.6% (19 of 108), and 13.0% (14 of 108) of the lesions progressed when analyzed with the CaLS, WORMS, and BLOKS systems, respectively. With the CaLS system, subjects with OA risk factors had significantly higher odds of progression than did subjects without risk factors (odds ratio, 2.78; P = .005). CONCLUSION The CaLS system is a reproducible scoring system for cartilage lesions that yields an improved detection rate for monitoring progression when compared with detection rates of semiquantitative WORMS and BLOKS systems.
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Affiliation(s)
- Hamza Alizai
- From the Department of Radiology and Biomedical Imaging (H.A., W.V., G.B.J., L.N., H.L., T.M.L.) and Department of Epidemiology and Biostatistics (F.L., M.C.N., J.A.L., C.E.M.), University of California-San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94107; and Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Tex (H.A.)
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McGoverin CM, Lewis K, Yang X, Bostrom MPG, Pleshko N. The contribution of bone and cartilage to the near-infrared spectrum of osteochondral tissue. APPLIED SPECTROSCOPY 2014; 68:1168-75. [PMID: 25197817 PMCID: PMC4235673 DOI: 10.1366/13-07327] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Near-infrared (NIR) spectroscopy has been used to assess hyaline cartilage quality in human and animal osteochondral tissues. However, due to the lack of NIR signal from bone phosphate and the relatively deep penetration depth of the radiation, the separate contributions of cartilage and bone to the spectral signatures have not been well defined. The objectives of the current study were (1) to improve the understanding of the contributions of bone and cartilage to NIR spectra acquired from osteochondral tissue and (2) to assess the ability of this nondestructive method to predict cartilage thickness and modified Mankin grade of human tibial plateau articular cartilage. Near-infrared spectra were acquired from samples of bovine bone and cartilage with varying thicknesses and from 22 tibial plateaus harvested from patients undergoing knee replacement surgery. The spectra were recorded from regions of the tibial plateaus with varying degrees of degradation, and the cartilage thickness and modified Mankin grade of these regions were assessed histologically. The spectra from bone and cartilage samples of known thicknesses were investigated to identify spectral regions that were distinct for these two tissues. Univariate and multivariate linear regression methods were used to correlate modified Mankin grade and cartilage thickness with NIR spectral changes. The ratio of the NIR absorbances associated with water at 5270 and 7085 cm(-1) was the best differentiator of cartilage and bone spectra. The NIR prediction models for thickness and Mankin grade calculated using partial least squares regression were more accurate than were univariate-based prediction models, with a root mean square errors of cross-validation of 0.42 mm (for thickness) and 1.3 (for modified Mankin grade). We conclude that NIR spectroscopy may be used to simultaneously assess articular cartilage thickness and modified Mankin grade, based in part on differences in spectral contributions from bone and cartilage.
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Affiliation(s)
- Cushla M. McGoverin
- Department of Bioengineering, College of Engineering, Temple University, 1947 North 12 St., Philadelphia, PA 19122
| | - Karl Lewis
- Department of Bioengineering, College of Engineering, Temple University, 1947 North 12 St., Philadelphia, PA 19122
| | - Xu Yang
- Research Division, Hospital for Special Surgery, 535 East 70 St., New York, NY 10021
| | - Mathias P. G. Bostrom
- Research Division, Hospital for Special Surgery, 535 East 70 St., New York, NY 10021
| | - Nancy Pleshko
- Department of Bioengineering, College of Engineering, Temple University, 1947 North 12 St., Philadelphia, PA 19122
- Research Division, Hospital for Special Surgery, 535 East 70 St., New York, NY 10021
- Corresponding Author: Nancy Pleshko, PhD, Department of Bioengineering, College of Engineering, Temple University, 1947 North 12 St., Philadelphia, PA 19122, Phone: 215-204-4280,
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Fujinaga Y, Yoshioka H, Sakai T, Sakai Y, Souza F, Lang P. Quantitative measurement of femoral condyle cartilage in the knee by MRI: validation study by multireaders. J Magn Reson Imaging 2013; 39:972-7. [PMID: 24123712 DOI: 10.1002/jmri.24217] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2012] [Accepted: 04/16/2013] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To determine reproducibility of the femoral condyle cartilage volume (CV) in cross-sectional and longitudinal studies using various 3D imaging techniques at 1.5 T and 3 T. MATERIALS AND METHODS In 21 subjects with osteoarthritis, magnetic resonance imaging (MRI) including four different sequences (sagittal 3D fat suppressed spoiled gradient-echo [SPGR] at 1.5 T, fat suppressed fast low angle shot [FLASH] at 3 T, water-excitation dual echo steady state [DESS] at 3 T, and water-excitation multiecho data image combination [MEDIC] at 3 T) were acquired at baseline and ∼1 year later. The CV measured using semiautomated segmentation software by three readers was analyzed. RESULTS The mean of the interclass correlation coefficient between each reader from SPGR, FLASH, DESS, and MEDIC was 0.899, 0.948, 0.943, and 0.954, respectively. The mean CV (×10(4) mm(3) ) measured by each reader from SPGR/FLASH/DESS/MEDIC sequences was the following in this order: 1.34/1.52/1.50/1.35, 1.21/1.43/1.40/1.27, 1.22/1.37/1.36/1.22, and 1.17/1.36/1.35/1.21 by readers 1, 2, 3 (first analysis), and 3 (second analysis), respectively. There was no statistically significant difference in CV between any readers in any sequences. The CV measured on FLASH and DESS tended to be greater than that on SPGR or MEDIC. CONCLUSION Inter- and intraobserver reproducibility of cartilage segmentation using semiautomated software was validated. Although there was no statistical significance, there was a tendency of under- or overestimating CV by each sequence.
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Affiliation(s)
- Yasunari Fujinaga
- Department of Radiological Sciences, University of California, Irvine, California, USA; Department of Radiology, Shinshu University School of Medicine, Matsumoto, Japan
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Burki V, Paternotte S, Dougados M, Ayral X. Rapidly destructive tibiofemoral knee osteoarthritis: clinicoradiological presentation and outcome after global medical treatment including non-arthroscopic joint lavage plus corticosteroid injection. A single center retrolective study. Joint Bone Spine 2013; 81:142-8. [PMID: 23845381 DOI: 10.1016/j.jbspin.2013.05.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2013] [Accepted: 05/26/2013] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To determine (i) clinicoradiological presentation and outcome of rapidly destructive knee osteoarthritis (RDKOA) after global medical treatment including knee lavage plus corticosteroid injection, (ii) predisposing factors of subsequent requirement to knee surgery. METHODS Retrolective monocenter study with tibiofemoral RDKOA, defined as a loss of at least 50% of joint space width within 1 year, with a post lavage follow-up of at least 1 year. RESULTS One hundred and eleven patients were enrolled, age 64.1 years, BMI: 28.9, 70.3% female. VAS pain was 56.1mm, Lequesne index: 11.9, WOMAC function score: 51.9. Chronic mechanical effusion (216 white cells/mm3) was aspirated in 102 patients (91.9%), lasting more than 6 months in 71.4%. Medial tibiofemoral compartment was concerned in 79.3%. Joint space loss reached 52.2% in extension and 71.0% in semi-flexed position within a mean 7.3-month period. Radiological chondrocalcinosis was present in 13.5% and osteonecrosis in 12.6%. Lavage (one liter, two 14-gauge cannulae) plus corticosteroid was completed by hyaluronic acid injections in 71.2% of patients. Eighty-nine patients were reviewed with a mean follow-up period of 55.0 months. Thirty-seven (41.6%) required surgery. Mean delay between lavage and surgery was 16.1 months. Pain was acceptable in 100.0% of operated patients and 87.8% of non-operated patients. Multivariate regression analysis determined that functional impairment, assessed by the maximal walking time, and radiological severity in extension were baseline predisposing factors of subsequent requirement to surgery. CONCLUSION The outcome of RDKOA seems less severe than expected after global medical treatment.
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Affiliation(s)
- Vincent Burki
- Department of Rheumatology B, AP-HP Cochin Hospital, Paris Descartes University, Medicine Faculty, Paris, France.
| | - Simon Paternotte
- Department of Rheumatology B, AP-HP Cochin Hospital, Paris Descartes University, Medicine Faculty, Paris, France.
| | - Maxime Dougados
- Department of Rheumatology B, AP-HP Cochin Hospital, Paris Descartes University, Medicine Faculty, Paris, France.
| | - Xavier Ayral
- Department of Rheumatology B, AP-HP Cochin Hospital, Paris Descartes University, Medicine Faculty, Paris, France.
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Ding C, Cicuttini F, Scott F, Cooley H, Jones G. Knee Structural Alteration and BMI: A Cross-sectional Study. ACTA ACUST UNITED AC 2012; 13:350-61. [PMID: 15800294 DOI: 10.1038/oby.2005.47] [Citation(s) in RCA: 112] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To describe the associations among BMI, knee cartilage morphology, and bone size in adults. RESEARCH METHODS AND PROCEDURES A cross-sectional convenience sample of 372 male and female subjects (mean age, 45 years; range, 26 to 61 years) was studied. Knee articular cartilage defect score (0 to 4) and prevalence (defect score of >/=2), volume, and thickness, as well as bone surface area and/or volume, were determined at the patellar, tibial, and femoral sites using T1-weighted fat-saturation magnetic resonance imaging. Height, weight, BMI, and radiographic osteoarthritis were measured by standard protocols. RESULTS In multivariate analysis in the whole group, BMI was significantly associated with knee cartilage defect scores (beta: +0.016/kg/m(2) to +0.083/kg/m(2), all p < 0.05) and prevalence (odds ratio: 1.05 to 1.12/kg/m(2), all p < 0.05 except for the lateral tibiofemoral compartment). In addition, BMI was negatively associated with patellar cartilage thickness only (beta = -0.021 mm/kg/m(2); p = 0.039) and was positively associated with tibial bone area (medial: beta = +7.1 mm(2)/kg/m(2), p = 0.001; lateral: beta = +3.2 mm(2)/kg/m(2), p = 0.037). Those who were obese also had higher knee cartilage defect severity and prevalence and larger medial tibial bone area but no significant change in cartilage volume or thickness compared with those of normal weight. DISCUSSION This study suggests that knee cartilage defects and tibial bone enlargement are the main structural changes associated with increasing BMI particularly in women. Preventing these changes may prevent knee osteoarthritis in overweight and obese subjects.
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Affiliation(s)
- Changhai Ding
- Menzies Research Institute, University of Tasmania, Private Bag 23, Hobart, Tasmania 7000, Australia
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Cohen SB, Short CP, O'Hagan T, Wu HT, Morrison WB, Zoga AC. The effect of meniscal tears on cartilage loss of the knee: findings on serial MRIs. PHYSICIAN SPORTSMED 2012; 40:66-76. [PMID: 23528623 DOI: 10.3810/psm.2012.09.1983] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND The relationship between meniscal tears and progressive loss of hyaline cartilage and osteoarthritis of the knee has been reported in the literature. The current treatment protocols for meniscal tears include conservative treatment, meniscal repair, and meniscectomy. Treatment plans are based on factors such as tear pattern, patient age, and associated pathology. The mechanism, pattern, and treatment of meniscal tears vary with age and activity level. Younger, more active patients often sustain more acute tears, which are more amenable to repair due to increased propensity for healing compared with older patients. It is unclear which patients or types of meniscal tears will go on to sustain cartilage loss or osteoarthritis. OBJECTIVE In our study, we aimed to determine magnetic resonance imaging (MRI) findings in patients with meniscal tears that may be predictive as a risk factor for future cartilage loss. METHODS A database was retrospectively searched for patients with ≥ 2 MRIs of the same knee over a 7-year period, with the initial report containing the keyword "meniscal tear." Follow-up examinations were then evaluated for cartilage loss. RESULTS Seventy-six meniscal tears were evaluated. Initial MRI findings associated with cartilage loss included subchondral bone marrow edema (P < 0.0001), meniscal extrusion (P < 0.001), radial meniscal tear (P = 0.017), and posterior horn meniscal tear (P = 0.031). In patients without meniscectomy, cartilage loss was observed in 38% (15/39) compared with 76% (28/37) in patients with meniscectomy, (P = 0.0001). CONCLUSION Subchondral bone marrow edema and meniscal extrusion were the strongest MRI predictors for cartilage loss in an untreated knee with a meniscal tear. There was significantly greater cartilage loss in patients post-meniscectomy at follow-up than in those who did not undergo meniscectomy.
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Affiliation(s)
- Steven B Cohen
- Rothman Institute Orthopedics/Department of Orthopedic Surgery, Thomas Jefferson University, Philadelphia, PA. steven.cohen@rothmaninstitute. com
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Smith TO, Simpson M, Ejindu V, Hing CB. The diagnostic test accuracy of magnetic resonance imaging, magnetic resonance arthrography and computer tomography in the detection of chondral lesions of the hip. EUROPEAN JOURNAL OF ORTHOPAEDIC SURGERY AND TRAUMATOLOGY 2012; 23:335-44. [DOI: 10.1007/s00590-012-0972-5] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2011] [Accepted: 03/13/2012] [Indexed: 11/24/2022]
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19
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Kim S, Bosque J, Meehan JP, Jamali A, Marder R. Increase in outpatient knee arthroscopy in the United States: a comparison of National Surveys of Ambulatory Surgery, 1996 and 2006. J Bone Joint Surg Am 2011; 93:994-1000. [PMID: 21531866 DOI: 10.2106/jbjs.i.01618] [Citation(s) in RCA: 457] [Impact Index Per Article: 35.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND This study was proposed to investigate the changes in the utilization of knee arthroscopy in an ambulatory setting over the past decade in the United States as well as its implications. METHODS The National Survey of Ambulatory Surgery, last carried out in 1996, was conducted again in 2006 by the Centers for Disease Control and Prevention. We analyzed the cases with procedure coding indicative of knee arthroscopy or anterior cruciate ligament reconstruction. To produce estimates for all arthroscopic procedures on the knee in an ambulatory setting in the United States for each year, we performed a design-based statistical analysis. RESULTS The number of arthroscopic procedures on the knee increased 49% between 1996 and 2006. While the number of arthroscopic procedures for knee injury had dramatically increased, arthroscopic procedures for knee osteoarthritis had decreased. In 1996, knee arthroscopies performed in freestanding ambulatory surgery centers comprised only 15% of all orthopaedic procedures, but the proportion increased to 51% in 2006. There was a large increase in knee arthroscopy among middle-aged patients regardless of sex. In 2006, >99% of arthroscopic procedures on the knee were in an outpatient setting. Approximately 984,607 arthroscopic procedures on the knee (95% confidence interval, 895,999 to 1,073,215) were performed in an outpatient setting in 2006. Among those, 127,446 procedures (95% confidence interval, 95,124 to 159,768) were for anterior cruciate ligament reconstruction. Nearly 500,000 arthroscopic procedures were performed for medial or lateral meniscal tears. CONCLUSIONS This study revealed that the knee arthroscopy rate in the United States was more than twofold higher than in England or Ontario, Canada, in 2006. Our study found that nearly half of the knee arthroscopic procedures were performed for meniscal tears. Meniscal damage, detected by magnetic resonance imaging, is commonly assumed to be the source of pain and symptoms. Further study is imperative to better define the symptoms, physical findings, and radiographic findings that are predictive of successful arthroscopic treatment.
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Affiliation(s)
- Sunny Kim
- Department of Orthopaedic Surgery, University of California-Davis, 4860 Y Street, Suite 3800, Sacramento, CA 95817, USA.
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Reichmann WM, Maillefert JF, Hunter DJ, Katz JN, Conaghan PG, Losina E. Responsiveness to change and reliability of measurement of radiographic joint space width in osteoarthritis of the knee: a systematic review. Osteoarthritis Cartilage 2011; 19:550-6. [PMID: 21396469 PMCID: PMC3095747 DOI: 10.1016/j.joca.2011.01.023] [Citation(s) in RCA: 88] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2010] [Revised: 11/15/2010] [Accepted: 01/09/2011] [Indexed: 02/02/2023]
Abstract
OBJECTIVE The goal of this systematic review was to report the responsiveness to change and reliability of conventional radiographic joint space width (JSW) measurement. METHOD We searched the PubMed and Embase databases using the following search criteria: [osteoarthritis (OA) (MeSH)] AND (knee) AND (X-ray OR radiography OR diagnostic imaging OR radiology OR disease progression) AND (joint space OR JSW or disease progression). We assessed responsiveness by calculating the standardized response mean (SRM). We assessed reliability using intra- and inter-reader intra-class correlation (ICC) and coefficient of variation (CV). Random-effects models were used to pool results from multiple studies. Results were stratified by study duration, design, techniques of obtaining radiographs, and measurement method. RESULTS We identified 998 articles using the search terms. Of these, 32 articles (43 estimates) reported data on responsiveness of JSW measurement and 24 (50 estimates) articles reported data on measures of reliability. The overall pooled SRM was 0.33 [95% confidence interval (CI): 0.26, 0.41]. Responsiveness of change in JSW measurement was improved substantially in studies of greater than 2 years duration (0.57). Further stratifying this result in studies of greater than 2 years duration, radiographs obtained with the knee in a flexed position yielded an SRM of 0.71. Pooled intra-reader ICC was estimated at 0.97 (95% CI: 0.92, 1.00) and the intra-reader CV estimated at 3.0 (95% CI: 2.0, 4.0). Pooled inter-reader ICC was estimated at 0.93 (95% CI: 0.86, 0.99) and the inter-reader CV estimated at 3.4% (95% CI: 1.3%, 5.5%). CONCLUSIONS Measurement of JSW obtained from radiographs in persons with knee is reliable. These data will be useful to clinicians who are planning RCTs where the change in minimum JSW is the outcome of interest.
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Affiliation(s)
- W M Reichmann
- Department of Orthopedic Surgery, Brigham and Women's Hospital, Boston, MA, USA.
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Systematic review of the concurrent and predictive validity of MRI biomarkers in OA. Osteoarthritis Cartilage 2011; 19:557-88. [PMID: 21396463 PMCID: PMC3268360 DOI: 10.1016/j.joca.2010.10.029] [Citation(s) in RCA: 148] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2010] [Revised: 09/14/2010] [Accepted: 10/17/2010] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To summarize literature on the concurrent and predictive validity of MRI-based measures of osteoarthritis (OA) structural change. METHODS An online literature search was conducted of the OVID, EMBASE, CINAHL, PsychInfo and Cochrane databases of articles published up to the time of the search, April 2009. 1338 abstracts obtained with this search were preliminarily screened for relevance by two reviewers. Of these, 243 were selected for data extraction for this analysis on validity as well as separate reviews on discriminate validity and diagnostic performance. Of these 142 manuscripts included data pertinent to concurrent validity and 61 manuscripts for the predictive validity review. For this analysis we extracted data on criterion (concurrent and predictive) validity from both longitudinal and cross-sectional studies for all synovial joint tissues as it relates to MRI measurement in OA. RESULTS Concurrent validity of MRI in OA has been examined compared to symptoms, radiography, histology/pathology, arthroscopy, CT, and alignment. The relation of bone marrow lesions, synovitis and effusion to pain was moderate to strong. There was a weak or no relation of cartilage morphology or meniscal tears to pain. The relation of cartilage morphology to radiographic OA and radiographic joint space was inconsistent. There was a higher frequency of meniscal tears, synovitis and other features in persons with radiographic OA. The relation of cartilage to other constructs including histology and arthroscopy was stronger. Predictive validity of MRI in OA has been examined for ability to predict total knee replacement (TKR), change in symptoms, radiographic progression as well as MRI progression. Quantitative cartilage volume change and presence of cartilage defects or bone marrow lesions are potential predictors of TKR. CONCLUSION MRI has inherent strengths and unique advantages in its ability to visualize multiple individual tissue pathologies relating to pain and also predict clinical outcome. The complex disease of OA which involves an array of tissue abnormalities is best imaged using this imaging tool.
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22
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Hunter DJ, Zhang W, Conaghan PG, Hirko K, Menashe L, Reichmann WM, Losina E. Responsiveness and reliability of MRI in knee osteoarthritis: a meta-analysis of published evidence. Osteoarthritis Cartilage 2011; 19:589-605. [PMID: 21396465 PMCID: PMC3625963 DOI: 10.1016/j.joca.2010.10.030] [Citation(s) in RCA: 108] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2010] [Revised: 10/15/2010] [Accepted: 10/17/2010] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To summarize literature on the responsiveness and reliability of MRI-based measures of knee osteoarthritis (OA) structural change. METHODS A literature search was conducted using articles published up to the time of the search, April 2009. 1338 abstracts obtained with this search were preliminarily screened for relevance and of these, 243 were selected for data extraction. For this analysis we extracted data on reliability and responsiveness for every reported synovial joint tissue as it relates to MRI measurement in knee OA. Reliability was defined by inter- and intra-reader intra-class correlation (ICC), or coefficient of variation, or kappa statistics. Responsiveness was defined as standardized response mean (SRM) - ratio of mean of change over time divided by standard deviation of change. Random-effects models were used to pool data from multiple studies. RESULTS The reliability analysis included data from 84 manuscripts. The inter-reader and intra-reader ICC were excellent (range 0.8-0.94) and the inter-reader and intra-reader kappa values for quantitative and semi-quantitative measures were all moderate to excellent (range 0.52-0.88). The lowest value (kappa=0.52) corresponded to semi-quantitative synovial scoring intra-reader reliability and the highest value (ICC=0.94) for semi-quantitative cartilage morphology. The responsiveness analysis included data from 42 manuscripts. The pooled SRM for quantitative measures of cartilage morphometry for the medial tibiofemoral joint was -0.86 (95% confidence intervals (CI) -1.26 to -0.46). The pooled SRM for the semi-quantitative measurement of cartilage morphology for the medial tibiofemoral joint was 0.55 (95% CI 0.47-0.64). For the quantitative analysis, SRMs are negative because the quantitative value, indicating a loss of cartilage, goes down. For the semi-quantitative analysis, SRMs indicating a loss in cartilage are positive (increase in score). CONCLUSION MRI has evolved substantially over the last decade and its strengths include the ability to visualize individual tissue pathologies, which can be measured reliably and with good responsiveness using both quantitative and semi-quantitative techniques.
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Affiliation(s)
- D J Hunter
- Rheumatology Department, Royal North Shore Hospital and Northern Clinical School, University of Sydney, Sydney, NSW, Australia.
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Dore D, Martens A, Quinn S, Ding C, Winzenberg T, Zhai G, Pelletier JP, Martel-Pelletier J, Abram F, Cicuttini F, Jones G. Bone marrow lesions predict site-specific cartilage defect development and volume loss: a prospective study in older adults. Arthritis Res Ther 2010; 12:R222. [PMID: 21190554 PMCID: PMC3046535 DOI: 10.1186/ar3209] [Citation(s) in RCA: 82] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2010] [Revised: 11/18/2010] [Accepted: 12/29/2010] [Indexed: 11/26/2022] Open
Abstract
Introduction Recent evidence suggests that bone marrow lesions (BMLs) play a pivotal role in knee osteoarthritis (OA). The aims of this study were to determine: 1) whether baseline BML presence and/or severity predict site-specific cartilage defect progression and cartilage volume loss; and 2) whether baseline cartilage defects predict site-specific BML progression. Methods A total of 405 subjects (mean age 63 years, range 52 to 79) were measured at baseline and approximately 2.7 years later. Magnetic resonance imaging (MRI) of the right knee was performed to measure knee cartilage volume, cartilage defects (0 to 4), and BMLs (0 to 3) at the medial tibial (MT), medial femoral (MF), lateral tibial (LT), and lateral femoral (LF) sites. Logistic regression and generalized estimating equations were used to examine the relationship between BMLs and cartilage defects and cartilage volume loss. Results At all four sites, baseline BML presence predicted defect progression (odds ratio (OR) 2.4 to 6.4, all P < 0.05), and cartilage volume loss (-0.9 to -2.9% difference per annum, all P < 0.05) at the same site. In multivariable analysis, there was a significant relationship between BML severity and defect progression at all four sites (OR 1.8 to 3.2, all P < 0.05) and BML severity and cartilage volume loss at the MF, LT, and LF sites (β -22.1 to -42.0, all P < 0.05). Additionally, baseline defect severity predicted BML progression at the MT and LF sites (OR 3.3 to 3.7, all P < 0.01). Lastly, there was a greater increase in cartilage volume loss at the MT and LT sites when both larger defects and BMLs were present at baseline (all P < 0.05). Conclusions Baseline BMLs predicted site-specific defect progression and cartilage volume loss in a dose-response manner suggesting BMLs may have a local effect on cartilage homeostasis. Baseline defects predicted site-specific BML progression, which may represent increased bone loading adjacent to defects. These results suggest BMLs and defects are interconnected and play key roles in knee cartilage volume loss; thus, both should be considered targets for intervention.
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Affiliation(s)
- Dawn Dore
- Menzies Research Institute Tasmania, University of Tasmania, Private Bag 23, Hobart, 7000, Australia.
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Kubota M, Ishijima M, Kurosawa H, Liu L, Ikeda H, Osawa A, Takazawa Y, Kawasaki T, Saita Y, Kimura Y, Kaneko K. A longitudinal study of the relationship between the status of bone marrow abnormalities and progression of knee osteoarthritis. J Orthop Sci 2010; 15:641-6. [PMID: 20953925 DOI: 10.1007/s00776-010-1512-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2009] [Accepted: 05/25/2010] [Indexed: 02/09/2023]
Abstract
BACKGROUND Bone marrow abnormalities (BMAs) detected on magnetic resonance imaging (MRI) are suggested to be involved in the pathogenesis of osteoarthritis (OA), and the size of the BMAs is associated with the progression of OA. However, it still remains unclear as to whether the associations of BMA size and OA severity are observed equally or whether they differ from early to advanced stages of OA. In the present study we examined whether BMA enlargement and OA progression differed according to the severity of OA. METHODS One hundred and eighty patients with knee OA were enrolled in the present study, and 122 of these patients completed this study. Radiography and knee MRI were done two times in all patients, at the baseline and 6 months or later at the time of patient follow-up. The severity of OA was evaluated by radiography using the Kellgren-Lawrence (K-L) grade. The patients who showed a deterioration in the K-L grade during the follow-up examination (59/122) were defined as the deterioration group. T2-weighted fat-suppressed MR images were used to score the size of the BMAs according to the whole-organ magnetic resonance imaging score (WORMS). A new scoring system, the spacial BMA score (s-score) was defined to assess the size of the BMAs three-dimensionally. RESULTS In patients with K-L grade 2, the s-score changes during the follow-up period in the deterioration group were significantly increased in comparison to those in the no-change group (P = 0.04), and no significant s-score changes were observed in patients with either K-L grade 1 or 3 (P = 0.07 and 0.57) between the deterioration group and the no-change group during the follow-up examination. In patients with K-L grade 3, the s-score at the baseline in the deterioration group was higher than that in the no-change group (P = 0.05). CONCLUSIONS The relationship between the size and enlargement of BMAs and the progression of OA changed depending upon the severity of OA.
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Affiliation(s)
- Mitsuaki Kubota
- Department of Orthopaedics, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421, Japan
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Abstract
Osteoarthritis (OA) is considered a multifactorial disease whose development and progression may include several structural abnormalities aside from cartilage destruction. Bone marrow lesions (BMLs) have been reported to be associated with OA pathology, and several studies have advocated its close connection to the severity of joint structural alterations and pain, the main OA clinical manifestation. Hence, BMLs may not only affect subchondral bone and its neuronal and vascular structures but also negatively influence the adjacent tissues. Here, we analyze the pathophysiology and natural history of OA-associated BMLs and their potential relevance to the radiographic progression and severity of the disease. The notion that BMLs may be a precursor to additional articular abnormalities, can be a potential risk factor for development of OA, and may serve as an additional diagnostic tool and a therapeutic target are further discussed.
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Roemer F, Lynch J, Niu J, Zhang Y, Crema M, Tolstykh I, El-Khoury G, Felson D, Lewis C, Nevitt M, Guermazi A. A comparison of dedicated 1.0 T extremity MRI vs large-bore 1.5 T MRI for semiquantitative whole organ assessment of osteoarthritis: the MOST study. Osteoarthritis Cartilage 2010; 18:168-74. [PMID: 19766580 PMCID: PMC2818134 DOI: 10.1016/j.joca.2009.08.017] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2009] [Revised: 07/12/2009] [Accepted: 08/24/2009] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To date semiquantitative whole-organ scoring of knee osteoarthritis (OA) relies on 1.5 Tesla (T) Magnetic resonance imaging (MRI) systems. Less costly 1.0 T extremity systems have been introduced that offer superior patient comfort, but may have limitations concerning field-of-view and image quality. The aim of this study was to compare semi-quantitative (SQ) scoring on a 1.0 T system using 1.5 T MRI as the standard of reference. METHODS The Multicenter Osteoarthritis Study (MOST) is a longitudinal study of individuals who have or are at high risk for knee OA. A sample of 53 knees was selected in which MRI was performed on a 1.0 T extremity system as well as on a 1.5 T scanner applying a comparable sequence protocol. MRIs were read according to the Whole Organ Magnetic Resonance Imaging Score (WORMS) score. Agreement was determined using weighted kappa statistics. Sensitivity, specificity and accuracy were assessed using the 1.5 T readings as the reference standard. In addition the number of non-readable features was assessed. RESULTS Agreement (w-kappa) for seven main WORMS features (cartilage, bone marrow lesions (BMLs), osteophytes, meniscal damage and extrusion, synovitis, effusion) ranged between 0.54 (synovitis) and 0.75 (cartilage). Sensitivity ranged between 68.1% (meniscal damage) and 88.1% (effusion). Specificity ranged between 63.6% (effusion) and 96.4% (BMLs). Although the overall rate of non-readable features was very low, it was higher for the 1.0 T system (1.9% vs 0.2%). CONCLUSIONS Semiquantitative whole organ scoring can be performed using a 1.0 T peripheral scanner with a moderate to high degree of agreement and accuracy compared to SQ assessment using a 1.5 T whole body scanner. Our results are comparable to the published inter- and intra observer exercises obtained from 1.5 T systems. Sensitivity to change of longitudinal scoring was not evaluated in this cross-sectional design and should be investigated in future validation studies.
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Affiliation(s)
- F.W. Roemer
- Quantitative Imaging Center (QIC), Department of Radiology, Boston University Medical Center, Boston, MA, USA,Department of Radiology, Klinikum Augsburg, Augsburg, Germany,Corresponding author and reprint requests: Frank Roemer, M.D., Associate Professor, Department of Radiology, Boston University Medical Center, FGH Building, 3rd floor, 820 Harrison Ave, Boston, MA 02118, Tel +1 617 414-3893, Fax +1 617 638-6616,
| | - J.A. Lynch
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - J. Niu
- Clinical Epidemiology Research and Training Unit, Boston University School of Medicine, Boston, MA, USA
| | - Y. Zhang
- Clinical Epidemiology Research and Training Unit, Boston University School of Medicine, Boston, MA, USA
| | - M.D. Crema
- Quantitative Imaging Center (QIC), Department of Radiology, Boston University Medical Center, Boston, MA, USA
| | - I. Tolstykh
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - G.Y. El-Khoury
- Department of Radiology, University of Iowa, Iowa City, IA, USA
| | - D.T. Felson
- Clinical Epidemiology Research and Training Unit, Boston University School of Medicine, Boston, MA, USA
| | - C.E. Lewis
- Division of Preventive Medicine, University of Alabama, Birmingham, AL, USA
| | - M.C. Nevitt
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - A. Guermazi
- Quantitative Imaging Center (QIC), Department of Radiology, Boston University Medical Center, Boston, MA, USA
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Qvist P, Christiansen C, Karsdal MA, Madsen SH, Sondergaard BC, Bay-Jensen AC. Application of biochemical markers in development of drugs for treatment of osteoarthritis. Biomarkers 2009; 15:1-19. [DOI: 10.3109/13547500903295873] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Hunter DJ. Insights from imaging on the epidemiology and pathophysiology of osteoarthritis. Radiol Clin North Am 2009; 47:539-51. [PMID: 19631067 DOI: 10.1016/j.rcl.2009.03.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
This article highlights recent studies, particularly those with an emphasis on MR imaging, that are providing unique insights into the relation between structures identified on imaging and symptoms and disease genesis. It is becoming increasingly apparent that the subchondral bone, periosteum, periarticular ligaments, periarticular muscle spasm, synovium, and joint capsule are all richly innervated and are the likely source of nociception in osteoarthritis. It is also apparent that local tissue alterations in the bone and meniscus and alignment of the lower extremity are important in terms of disease genesis. This article represents the literature in that much of the focus and understanding is knee centric with less focus on the hip and hand.
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Affiliation(s)
- David J Hunter
- Orthopedic Department, Division of Research, New England Baptist Hospital, 125 Parker Hill Avenue, Boston, MA 02120, USA.
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Hunter DJ. Imaging Insights on the Epidemiology and Pathophysiology of Osteoarthritis. Rheum Dis Clin North Am 2009; 35:447-63. [DOI: 10.1016/j.rdc.2009.08.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Identification of progressors in osteoarthritis by combining biochemical and MRI-based markers. Arthritis Res Ther 2009; 11:R115. [PMID: 19630944 PMCID: PMC2745797 DOI: 10.1186/ar2774] [Citation(s) in RCA: 86] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2009] [Revised: 05/22/2009] [Accepted: 07/24/2009] [Indexed: 01/28/2023] Open
Abstract
Introduction At present, no disease-modifying osteoarthritis drugs (DMOADS) are approved by the FDA (US Food and Drug Administration); possibly partly due to inadequate trial design since efficacy demonstration requires disease progression in the placebo group. We investigated whether combinations of biochemical and magnetic resonance imaging (MRI)-based markers provided effective diagnostic and prognostic tools for identifying subjects with high risk of progression. Specifically, we investigated aggregate cartilage longevity markers combining markers of breakdown, quantity, and quality. Methods The study included healthy individuals and subjects with radiographic osteoarthritis. In total, 159 subjects (48% female, age 56.0 ± 15.9 years, body mass index 26.1 ± 4.2 kg/m2) were recruited. At baseline and after 21 months, biochemical (urinary collagen type II C-telopeptide fragment, CTX-II) and MRI-based markers were quantified. MRI markers included cartilage volume, thickness, area, roughness, homogeneity, and curvature in the medial tibio-femoral compartment. Joint space width was measured from radiographs and at 21 months to assess progression of joint damage. Results Cartilage roughness had the highest diagnostic accuracy quantified as the area under the receiver-operator characteristics curve (AUC) of 0.80 (95% confidence interval: 0.69 to 0.91) among the individual markers (higher than all others, P < 0.05) to distinguish subjects with radiographic osteoarthritis from healthy controls. Diagnostically, cartilage longevity scored AUC 0.84 (0.77 to 0.92, higher than roughness: P = 0.03). For prediction of longitudinal radiographic progression based on baseline marker values, the individual prognostic marker with highest AUC was homogeneity at 0.71 (0.56 to 0.81). Prognostically, cartilage longevity scored AUC 0.77 (0.62 to 0.90, borderline higher than homogeneity: P = 0.12). When comparing patients in the highest quartile for the longevity score to lowest quartile, the odds ratio of progression was 20.0 (95% confidence interval: 6.4 to 62.1). Conclusions Combination of biochemical and MRI-based biomarkers improved diagnosis and prognosis of knee osteoarthritis and may be useful to select high-risk patients for inclusion in DMOAD clinical trials.
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Kesemenli CC, Memisoglu K, Muezzinoglu US. Bone marrow edema seen in MRI of osteoarthritic knees is a microfracture. Med Hypotheses 2009; 72:754-5. [PMID: 19250754 DOI: 10.1016/j.mehy.2009.01.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2008] [Revised: 10/03/2008] [Accepted: 01/07/2009] [Indexed: 10/21/2022]
Abstract
We hypothesize that the bone marrow edema seen in MRI images of osteoarthritic joints are a result of microfractures. These microfractures caused intermittent pain of the osteoarthritis knees. Varus malalignment of the knee with osteoporosis leads loading on the medial compartment, and high pressure on the lateral compartment for valgus malalignment.
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Acebes C, Roman-Blas JA, Delgado-Baeza E, Palacios I, Herrero-Beaumont G. Correlation between arthroscopic and histopathological grading systems of articular cartilage lesions in knee osteoarthritis. Osteoarthritis Cartilage 2009; 17:205-12. [PMID: 18676161 DOI: 10.1016/j.joca.2008.06.010] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2008] [Accepted: 06/18/2008] [Indexed: 02/02/2023]
Abstract
PURPOSE Arthroscopic and particularly histopathological assessments have been used to evaluate alterations of knee cartilage in osteoarthritis (OA). The aim of this study was to examine the correlation between an arthroscopic method to grade the severity of chondropathies and the histological/histochemical grading system (HHGS) applied to the corresponding articular cartilage areas in knee OA. METHODS The articular cartilage surface was examined by chondroscopy using the Beguin and Locker severity criteria, analysing the lesions in 72 chondroscopic areas. Afterwards, samples were obtained by dividing the cartilage surface of the medial tibiofemoral compartment of three OA knee joints into equal squares and they were evaluated histologically using the HHGS. The correlation between both grading methods was assessed using the weighted Kappa coefficient (K(w)). RESULTS The results obtained with both scores showed good agreement (K(w): mean+/-standard deviation, 0.619+/-0.071). While the average HHGS scores of the chondral samples showed a better agreement with arthroscopic grades 0, I and II, the arthroscopic evaluation has a tendency to overestimate chondral lesions for histological grades III and IV. The intra- and inter-observer reliability of the HHGS evaluation of chondral lesions was excellent (Intraclass Correlation Coefficient: 0.909 and 0.941, respectively). CONCLUSION In this study, we found a good quantitative correlation between established arthroscopic severity and histopathological scoring systems, particularly in less advanced lesions. Our results suggest that the arthroscopic method is a valuable tool in clinical research to score chondropathies in the medial femorotibial compartment of the OA knee, although some limitations should not be overlooked.
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Affiliation(s)
- C Acebes
- Bone and Joint Research Unit, Service of Rheumatology, Fundación Jiménez Díaz, Universidad Autónoma, Madrid, Spain.
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KUBOTA MITSUAKI, KUROSAWA HISASHI, IKEDA HIROSHI, TAKAZAWA YUJI, KAWASAKI TAKAYUKI, ISHIJIMA MUNEAKI, KIM SUNGGON, SETO HIROAKI. A cross-sectional study of magnetic resonance imaging findings with the radiographic stage and clinical findings. ACTA ACUST UNITED AC 2009. [DOI: 10.14789/pjmj.55.45] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- MITSUAKI KUBOTA
- Department of Orthopaedics, Juntendo University, School of Medicine
| | - HISASHI KUROSAWA
- Department of Orthopaedics, Juntendo University, School of Medicine
| | - HIROSHI IKEDA
- Department of Orthopaedics, Juntendo University, School of Medicine
| | - YUJI TAKAZAWA
- Department of Orthopaedics, Juntendo University, School of Medicine
| | | | - MUNEAKI ISHIJIMA
- Department of Orthopaedics, Juntendo University, School of Medicine
| | - SUNG-GON KIM
- Department of Orthopaedics, Juntendo University, School of Medicine
| | - HIROAKI SETO
- Department of Orthopaedics, Juntendo University, School of Medicine
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Mills PM, Wang Y, Cicuttini FM, Stoffel K, Stachowiak GW, Podsiadlo P, Lloyd DG. Tibio-femoral cartilage defects 3-5 years following arthroscopic partial medial meniscectomy. Osteoarthritis Cartilage 2008; 16:1526-31. [PMID: 18515157 DOI: 10.1016/j.joca.2008.04.014] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2008] [Accepted: 04/19/2008] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Arthroscopic partial medial meniscectomy (APMM) is a common procedure to treat a medial meniscal tear. Individuals who undergo APMM have a heightened risk of developing tibio-femoral osteoarthritis (OA). Cartilage defects scored from magnetic resonance imaging (MRI) scans predict cartilage loss over time. It is not known whether cartilage defects in the early years following APMM are more common or of greater severity than in age-matched controls. This study compared the prevalence and severity of tibio-femoral cartilage defects in patients 3-5 years post-APMM with that of age-matched controls. METHODS Twenty-five individuals who had undergone APMM in the previous 46.9+/-5.0 months and 24 age-matched controls participated in this study. Sagittal plane knee MRI scans were acquired from the operated knees of patients and from randomly assigned knees of the controls and graded (0-4) for tibio-femoral cartilage defects. Defect prevalence (score of >or=2 for any compartment) and severity of the cartilage from both tibio-femoral compartments were compared between the groups. RESULTS The APMM group had greater prevalence (77 vs 42%, P=0.012) and severity (4.1+/-1.9 vs 2.8+/-1.1, P=0.005) of tibio-femoral cartilage defects than controls. Age was positively associated with tibio-femoral cartilage defect severity for APMM, r=0.523, P=0.007, but not for controls, r=0.045, P=0.834. CONCLUSION Tibio-femoral joint cartilage defects are more prevalent and of greater severity in individuals who had undergone APMM approximately 44 months earlier than in age-matched controls.
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Affiliation(s)
- P M Mills
- School of Sport Science, Exercise and Health, University of Western Australia, Crawley, WA, Australia
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Abstract
Recent technical developments in high-field magnetic resonance (MR) scanners, improvement in radio frequency coil design and gradient performance along with the development of efficient pulse sequences and new methods of enhancing contrast have made high-quality imaging of animal arthritis models feasible. MR can provide high-resolution structural information about the osteoarthritic changes in animal models, and also information about the biophysical properties of cartilage. This paper reviews the MR techniques available for animal knee imaging, and the various MR-derived readouts of knee osteoarthritis in animal models. Pitfalls in interpreting animal joint anatomy and joint composition are highlighted.
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Affiliation(s)
- Yi-Xiang Wang
- Department of Radiology, The Chinese University of Hong Kong, Hong Kong, China.
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Vastus medialis cross-sectional area is associated with patella cartilage defects and bone volume in healthy women. Osteoarthritis Cartilage 2008; 16:956-60. [PMID: 18180179 DOI: 10.1016/j.joca.2007.11.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2007] [Accepted: 11/17/2007] [Indexed: 02/02/2023]
Abstract
OBJECTIVES Although vastus medialis and vastus lateralis are important muscular determinants of patellofemoral joint function, it is unclear how these muscles relate to the structure of the patellofemoral joint. The aim of this cross-sectional study was to determine the relationship between the vasti muscles and patella cartilage volume and defects and patella bone volume. METHODS One hundred and seventy-five women, aged 40-67 years, with no knee pain or clinical lower-limb disease had magnetic resonance imaging (MRI) of their dominant knee. The cross-sectional areas of the distal vastus medialis and lateralis were measured 37.5mm superior to the quadriceps tendon insertion at the proximal pole of the patella. Patella cartilage volume and defects and patella bone volume were measured from these images using validated methods. RESULTS There was no significant association between the distal vastus medialis cross-sectional area and patella cartilage volume. For every 1mm(2) increase in the distal vastus medialis cross-sectional area, there was an associated increased risk of patella cartilage defects [odds ratio (OR): 1.2; 95% confidence interval (CI) 1.004, 1.5; P=0.05], and an associated increase in patella bone volume (OR: 3.9; 95% CI 2.0, 5.8; P<0.001) after adjustment for potential confounders. There was no significant relationship between vastus lateralis cross-sectional area and measures of patella cartilage or bone. CONCLUSION An increased cross-sectional area of the distal portion of the vastus medialis muscle is associated with an increased risk of patella cartilage defects, and an increase in patella bone volume among healthy women. Although these results need to be confirmed in longitudinal studies, they suggest that an increase in the distal vastus medialis cross-sectional area is associated with structural change at the patellofemoral joint.
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Emrani PS, Katz JN, Kessler CL, Reichmann WM, Wright EA, McAlindon TE, Losina E. Joint space narrowing and Kellgren-Lawrence progression in knee osteoarthritis: an analytic literature synthesis. Osteoarthritis Cartilage 2008; 16:873-82. [PMID: 18280757 PMCID: PMC2701468 DOI: 10.1016/j.joca.2007.12.004] [Citation(s) in RCA: 112] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2007] [Accepted: 12/03/2007] [Indexed: 02/02/2023]
Abstract
OBJECTIVE While the interpretation of cartilage findings on magnetic resonance imaging (MRI) evolves, plain radiography remains the standard method for assessing progression of knee osteoarthritis (OA). We sought to describe factors that explain variability in published estimates of radiographic progression in knee OA. DESIGN We searched PubMed between January 1985 and October 2006 to identify studies that assessed radiographic progression using either joint space narrowing (JSN) or the Kellgren-Lawrence (K-L) scale. We extracted cohort characteristics [age, gender, and body mass index (BMI)] and technical and other study factors (radiographic approach, study design, OA-related cohort composition). We performed meta-regression analyses of the effects of these variables on both JSN and K-L progression. RESULTS Of 239 manuscripts identified, 34 met inclusion criteria. The mean estimated annual JSN rate was 0.13 +/- 0.15 mm/year. While we found no significant association between JSN and radiographic approach among observational studies, full extension was associated with greater estimated JSN among randomized control trials (RCTs). Overall, observational studies that used the semi-flexed approach reported greater JSN than RCTs that used the same approach. The overall mean risk of K-L progression by at least one grade was 5.6 +/- 4.9%, with higher risk associated with shorter study duration, OA definition (K-L > or = 2 vs K-L > or = 1) and cohorts composed of subjects with both incident and prevalent OA. CONCLUSION While radiographic approach and study design were associated with JSN, OA definition, cohort composition and study duration were associated with risk of K-L progression. These findings may inform the design of disease modifying osteoarthritis drug (DMOAD) trials and assist clinicians in optimal timing of OA treatments.
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Davies-Tuck ML, Wluka AE, Wang Y, Teichtahl AJ, Jones G, Ding C, Cicuttini FM. The natural history of cartilage defects in people with knee osteoarthritis. Osteoarthritis Cartilage 2008; 16:337-42. [PMID: 17698376 DOI: 10.1016/j.joca.2007.07.005] [Citation(s) in RCA: 172] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2007] [Accepted: 07/03/2007] [Indexed: 02/02/2023]
Abstract
OBJECTIVES Cartilage defects are highly prevalent in subjects with knee osteoarthritis (OA). Although they are associated with increased cartilage loss and joint replacement, there is little data on the natural history of cartilage defects. The aim of this study was to examine the progression of cartilage defects over 2 years in people with knee OA and to identify factors associated with progression. METHODS One hundred and seventeen subjects with OA underwent magnetic resonance imaging of their dominant knee at baseline and follow-up. Cartilage defects were scored (0-4) at four sites. Bone size of the medial and lateral tibial plateau was determined. Height, weight, body mass index and physical activity were measured by standard protocols. RESULTS The mean cartilage defect score increased significantly over the 2-year study period in all tibiofemoral compartments (all P<0.001), except the lateral tibial compartment with age and tibial plateau bone area at baseline being predictors of progression. However, there was heterogeneity with 81% progressing at any site, 15% remaining stable and 4% decreasing. CONCLUSION Over 2 years, cartilage defects tend to progress in people with symptomatic OA, with only a small percentage decreasing in severity. Increasing age and increased bone area are risk factors for progression. Interventions aimed at preventing cartilage defects from occurring and reducing their severity may result in a reduction in the severity of OA, by reducing loss of articular cartilage and subsequent requirement for knee joint replacement.
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Affiliation(s)
- M L Davies-Tuck
- Department of Epidemiology and Preventive Medicine, Monash University, Central and Eastern Clinical School, Alfred Hospital, Melbourne, Vic 3004, Australia
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Teichtahl AJ, Wang Y, Wluka AE, Szramka M, English DR, Giles GG, O'Sullivan R, Cicuttini FM. The longitudinal relationship between body composition and patella cartilage in healthy adults. Obesity (Silver Spring) 2008; 16:421-7. [PMID: 18239654 DOI: 10.1038/oby.2007.37] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Although obesity is a risk factor for patellofemoral osteoarthritis (OA), it is unclear whether the components of body composition, such as muscle and fat mass, are major determinants of articular cartilage properties at the patella. OBJECTIVE The aim of this study was to determine whether anthropometric and body composition measures, assessed over 10 years, were related to articular patella cartilage volume and defects in healthy adults with no clinical knee OA. METHODS AND PROCEDURES Two hundred and ninety-seven healthy, community-based adults aged 50-79 years with no clinical history of knee OA were recruited. Anthropometric and body composition (fat-free mass and fat mass) data were measured at baseline (1990-1994) and follow-up (2003-2004). Patella cartilage volume and defects were assessed at follow-up (2003-2004) using magnetic resonance imaging (MRI). RESULTS After adjustment for potential confounders, increased measures of obesity (weight, BMI, waist circumference, and fat mass) at baseline and follow-up were associated with an increased risk for the presence of patella cartilage defects at follow-up for both men and women (all P < or = 0.03). Increased baseline values for these variables tended to be associated with reduced patella cartilage volume at follow-up for women (all P < or = 0.11), but not men (all P < or = 0.87). DISCUSSION We have demonstrated that increased anthropometric measures of obesity, as well as fat mass, are associated with an increased risk for the presence of patella cartilage defects in both men and women. Women, but not men, with greater baseline body mass, particularly adipose-derived mass, appear to have an associated reduction in their patella cartilage volume. Interventions targeting a reduction in adipose tissue may help reduce the risk for the onset and progression of patellofemoral OA, particularly in women.
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Affiliation(s)
- Andrew J Teichtahl
- Department of Epidemiology and Preventive Medicine, Central and Eastern Clinical School, Alfred Hospital, Monash University, Melbourne, VIC, Australia
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Folkesson J, Dam EB, Olsen OF, Karsdal MA, Pettersen PC, Christiansen C. Automatic quantification of local and global articular cartilage surface curvature: Biomarkers for osteoarthritis? Magn Reson Med 2008; 59:1340-6. [DOI: 10.1002/mrm.21560] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Qazi AA, Dam EB, Nielsen M, Karsdal MA, Pettersen PC, Christiansen C. Osteoarthritic cartilage is more homogeneous than healthy cartilage: identification of a superior region of interest colocalized with a major risk factor for osteoarthritis. Acad Radiol 2007; 14:1209-20. [PMID: 17889338 DOI: 10.1016/j.acra.2007.06.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2007] [Revised: 02/23/2007] [Accepted: 02/23/2007] [Indexed: 12/19/2022]
Abstract
RATIONALE AND OBJECTIVES Cartilage loss as determined by magnetic resonance imaging (MRI) or joint space narrowing as determined by x-ray is the result of cartilage erosion. However, metabolic processes within the cartilage that later result in cartilage loss may be a more sensitive assessment method for early changes. Recently, it was shown that cartilage homogeneity visualized by MRI representing the biochemical changes undergoing in the cartilage is a potential marker for early detection of knee osteoarthritis (OA) and is also able to significantly separate groups of healthy subjects from those with OA. The purpose of this study was twofold. First, we wished to evaluate whether the results on cartilage homogeneity from the previous study can be reproduced using an independent population. Second, based on the homogeneity framework, we present an automatic technique that partitions the region of interest in the cartilage that contributes most to discrimination between healthy and OA subjects and allows for identification of the most implicated areas in early OA. These findings may allow further investigation of whether cartilage homogeneity reveals a predisposition for OA or whether it evolves as a consequence to disease and thereby can be used as a progression biomarker. MATERIALS AND METHODS A total of 283 right and left knees from 159 subjects aged 21 to 81 years were scanned using a Turbo 3D T1 sequence on a 0.18-T MRI Esaote scanner. The medial compartment of the tibial cartilage sheet was segmented using a fully automatic voxel classification scheme based on supervised learning. From the segmented cartilage sheet, homogeneity was quantified by measuring entropy from the distribution of signal intensities inside the compartment. Each knee was examined by radiography, and the knees were categorized by the Kellgren and Lawrence (KL) Index. Next, based on a gradient descent optimization technique, the cartilage region that contributed to the maximum statistical significance of homogeneity in separating healthy subjects from the diseased was partitioned. The generalizability of the region was evaluated by testing for overfitting. Three different regularization techniques were evaluated for reducing overfitting errors. RESULTS The P values for separating the different groups based on cartilage homogeneity were 2 x 10(-5) (KL 0 versus KL 1) and 1 x 10(-7) (KL 0 versus KL >0). Using the automatic gradient descent technique, the partitioned region was toward the peripheral part of the cartilage sheet. Using this region, the P values for separating the different groups based on homogeneity were 5 x 10(-9) (KL 0 versus KL 1) and 1 x 10(-15) (KL 0 versus KL >0). The precision of homogeneity for the partitioned region assessed as a test-retest root-mean-square coefficient of variation was 3.3%. Bootstrapping proved to be an effective regularization tool in reducing overfitting errors. CONCLUSION The validation study supported the use of cartilage homogeneity as a tool for the early detection of knee OA and for separating groups of healthy subjects from those who have disease. Our automatic, unbiased partitioning algorithm based on a general statistical framework outlined the cartilage region of interest that best separated healthy from OA conditions on the basis of homogeneity discrimination. We have shown that OA affects certain areas of the cartilage more distinctly, and these areas are located more toward the peripheral region of the cartilage. We propose that this region corresponds anatomically to cartilage covered by the meniscus in healthy subjects. This finding may provide valuable clues in the early detection and monitoring of OA and thus may improve treatment efficacy.
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Affiliation(s)
- Arish A Qazi
- Image Group, University of Copenhagen, Copenhagen, Denmark.
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Qazi AA, Folkesson J, Pettersen PC, Karsdal MA, Christiansen C, Dam EB. Separation of healthy and early osteoarthritis by automatic quantification of cartilage homogeneity. Osteoarthritis Cartilage 2007; 15:1199-206. [PMID: 17493841 DOI: 10.1016/j.joca.2007.03.016] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2006] [Accepted: 03/20/2007] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Cartilage loss as determined either by magnetic resonance imaging (MRI) or by joint space narrowing in X-rays is the result of cartilage erosion. However, metabolic processes within the cartilage that later result in cartilage loss may be a more accurate assessment method for early changes. Early biological processes of cartilage destruction are among other things, a combination of proteoglycan turnover, as a result of altered charge distributions, and local alterations in water content (edema). As water distribution is detectable by MRI, the aim of this study was to investigate cartilage homogeneity visualized by MRI related to water distribution, as a potential very early marker for early detection of knee osteoarthritis (OA). DESIGN One hundred and fourteen right and left knees from 71 subjects aged 22-79 years were scanned using a Turbo 3D T(1) sequence on a 0.18T MRI Esaote scanner. The medial compartment of the tibial cartilage sheet was segmented using a fully automatic voxel classification scheme based on supervised learning. From the segmented cartilage sheet, homogeneity was quantified by measuring entropy from the distribution of signal intensities inside the compartment. For each knee an X-ray was acquired and the knees were categorized by the Kellgren and Lawrence (KL) index and the joint space width (JSW) was measured. The P-values for separating the groups by each of JSW, cartilage volume, cartilage mean intensity, and cartilage homogeneity were calculated using the unpaired t-test. RESULTS The P-value for separating the group diagnosed as KL 0 from the group being KL 1 based on JSW, volume and mean signal intensity the values were P=0.9, P=0.4 and P=0.0009, respectively. In contrast, the P-value for homogeneity was P=0.0004. The precision of the measures assessed, as a test-retest root mean square coefficient of variation (RMS-CV%) was 3.9% for JSW, 7.4% for volume, 3.9% for mean signal intensity and 3.0% for homogeneity quantification. CONCLUSION These data demonstrate that the distribution of components of the articular matrix precedes erosion, as measured by cartilage homogeneity related to water concentration. We show that homogeneity was able to separate early OA from healthy individuals in contrast to traditional volume and JSW quantifications. These data suggest that cartilage homogeneity quantification may be able to quantify early biochemical changes in articular cartilage prior to cartilage loss and thereby provide better identification of patients for OA trials who may respond better to medicinal intervention of some treatments. In addition, this study supports the feasibility of using low-field MRI in clinical studies.
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Affiliation(s)
- A A Qazi
- Image Group, University of Copenhagen, Denmark
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Folkesson J, Dam EB, Olsen OF, Christiansen C. Accuracy evaluation of automatic quantification of the articular cartilage surface curvature from MRI. Acad Radiol 2007; 14:1221-8. [PMID: 17889339 DOI: 10.1016/j.acra.2007.07.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2007] [Revised: 07/28/2007] [Accepted: 05/31/2007] [Indexed: 10/22/2022]
Abstract
RATIONALE AND OBJECTIVES To study the articular cartilage surface curvature determined automatically from magnetic resonance (MR) knee scans, evaluate accuracy of the curvature estimates on digital phantoms, and an evaluation of their potential as disease markers for different stages of osteoarthritis (OA). MATERIALS AND METHODS Knee MR data were acquired using a low-field 0.18T scanner, along with posteroanterior x-rays for evaluation of radiographic signs of OA according to the Kellgren-Lawrence index (KL). Scans from a total of 114 knees from test subjects with KL 0-3, 59% females, ages 21-79 years were evaluated. The surface curvature for the medial tibial compartment was estimated automatically on a range of scales by two different methods: Euclidean shortening flow and boundary normal comparison on a cartilage shape model. The curvature estimates were normalized for joint size for intersubject comparisons. Digital phantoms were created to establish the accuracy of the curvature estimation methods. RESULTS A comparison of the two curvature estimation methods to ground truth yielded absolute pairwise differences of 1.1%, and 4.8%, respectively. The interscan reproducibility for the two methods were 2.3% and 6.4% (mean coefficient of variation), respectively. The surface curvature was significantly higher in the OA population (KL > 0) compared with the healthy population (KLi = 0) for both curvature estimates, with P values of .000004 and .000006, respectively. The shape model based curvature estimate could also separate healthy from borderline OA (KL = 1) populations (P = .005). CONCLUSION The phantom study showed that the shape model method was more accurate for a coarse-scale analysis, whereas the shortening flow estimated fine scales better. Both the fine- and the coarse-scale curvature estimates distinguished between healthy and OA populations, and the coarse-scale curvature could even distinguish between healthy and borderline OA populations. The highly significant differences between populations demonstrate the potential of cartilage curvature as a disease marker for OA.
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Affiliation(s)
- Jenny Folkesson
- Department of Computer Science, University of Copenhagen, Universitetsparken 1, DK-2100 Copenhagen, Denmark.
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Dam EB, Folkesson J, Pettersen PC, Christiansen C. Automatic morphometric cartilage quantification in the medial tibial plateau from MRI for osteoarthritis grading. Osteoarthritis Cartilage 2007; 15:808-18. [PMID: 17353132 DOI: 10.1016/j.joca.2007.01.013] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2006] [Accepted: 01/16/2007] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To evaluate whether a novel, fully automatic, morphometric cartilage quantification framework is suitable for assessing level of knee osteoarthritis (OA) in clinical trials. METHOD The population was designed with a normal population and groups with varying degree of OA of both sexes and at ages from 21 to 78. Posterior-anterior X-rays were acquired in semi-flexed, load-bearing position. The radiographic signs of OA were evaluated based on the Kellgren and Lawrence score (KL) and the joint space width (JSW) was measured. Turbo 3D T1 magnetic resonance imaging (MRI) scans were acquired with resolution 0.7x0.7x0.8mm(3) from a 0.18T scanner. The morphometric cartilage quantification from MRI resulted in volume, surface area, thickness and surface curvature for the medial tibial cartilage compartment. These quantifications were evaluated against JSW with respect to precision and ability to separate healthy subjects from OA subjects. RESULTS The automatic, morphometric cartilage quantifications allowed fairly precise measurements with scan-rescan coefficient of variations (CVs) in the range from 3.4% to 6.3%. All quantifications, including JSW, allowed separation of the groups of healthy and OA subjects. However, for separation of the healthy from the borderline cases (KL 0 vs KL 1), only the Cartilage Curvature quantification allowed statistically significant separation (P<0.01). CONCLUSION The novel morphometric framework shows promise for use in clinical trials. The ability of the Cartilage Curvature quantification to detect the early stages of OA and the effectiveness of the focal thickness Q10 measure are particularly noteworthy. Furthermore, these results may indirectly support that low-field MRI may be a low-cost option for clinical trials.
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Affiliation(s)
- E B Dam
- Image Group, IT University of Copenhagen,
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Zhai G, Stankovich J, Cicuttini F, Ding C, Jones G. Familial, structural, and environmental correlates of MRI-defined bone marrow lesions: a sibpair study. Arthritis Res Ther 2007; 8:R137. [PMID: 16887014 PMCID: PMC1779406 DOI: 10.1186/ar2027] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2006] [Revised: 06/13/2006] [Accepted: 08/03/2006] [Indexed: 11/10/2022] Open
Abstract
The aim of this study was to estimate the heritability and describe the correlates of bone marrow lesions in knee subchondral bone. A sibpair design was used. T2- and T1-weighted MRI scans were performed on the right knee to assess bone marrow lesions at lateral tibia and femora and medial tibia and femora, as well as chondral defects. A radiograph was taken on the same knee and scored for individual features of osteoarthritis (radiographic osteoarthritis; ROA) and alignment. Other variables measured included height, weight, knee pain, and lower-limb muscle strength. Heritability was estimated with the program SOLAR (Sequential Oligogenetic Linkage Analysis Routines). A total of 115 siblings (60 females and 55 males) from 48 families, representing 95 sib pairs, took part. The adjusted heritability estimates were 53 +/- 28% (mean +/- SEM; p = 0.03) and 65 +/- 32% (p = 0.03) for severity of bone marrow lesions at lateral and medial compartments, respectively. The estimates were reduced by 8 to 9% after adjustment for chondral defects and ROA (but not alignment). The adjusted heritability estimate was 99% for prevalent bone marrow lesions at both lateral and medial compartments. Both lateral and medial bone marrow lesions were significantly correlated with age, chondral defects, and ROA of the knee (all p < 0.05). Medial bone marrow lesions were also more common in males and were correlated with body mass index (BMI). Thus, bone marrow lesions have a significant genetic component. They commonly coexist with chondral defects and ROA but only share common genetic mechanisms to a limited degree. They are also more common with increasing age, male sex, and increasing BMI.
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Affiliation(s)
- Guangju Zhai
- Menzies Research Institute, University of Tasmania, Level 2, Surrey House, 199 Macquarie Street, Hobart, TAS 7000, Australia
- Twin Research and Genetic Epidemiology Unit, St Thomas's Hospital, Lambeth Palace Road, London, SE1 7EH, UK
| | - James Stankovich
- The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Melbourne, VIC 3050, Australia
| | - Flavia Cicuttini
- Department of Epidemiology and Preventive Medicine, Monash University Medical School, 89 Commercial Road, Alfred Hospital, Melbourne, VIC 3004, Australia
| | - Changhai Ding
- Menzies Research Institute, University of Tasmania, Level 2, Surrey House, 199 Macquarie Street, Hobart, TAS 7000, Australia
| | - Graeme Jones
- Menzies Research Institute, University of Tasmania, Level 2, Surrey House, 199 Macquarie Street, Hobart, TAS 7000, Australia
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Abstract
Osteoarthritis (OA) has been a frustrating disease for both the patient and the physician. Its current impact on society is tremendous and rivals that of ischemic heart disease in many regards. As the baby boomers reach late adulthood and the obesity epidemic rages on, OA will assume an even greater impact on society. The current OA armamentarium only reduces pain and perhaps improves function, but has no impact on the disease incidence or progression. Thus, the challenge for researchers to develop disease-modifying OA drugs becomes an issue of paramount importance. Several advances in the understanding of OA pathophysiology have provided a glimpse of optimism that disease modification is a real possibility.
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Affiliation(s)
- Bob H Sun
- Center of Innovative Therapies, University of California at San Diego, 9320 Campus Point Drive, Suite 225, La Jolla, CA 92037-0943, USA
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Folkesson J, Dam EB, Olsen OF, Pettersen PC, Christiansen C. Segmenting articular cartilage automatically using a voxel classification approach. IEEE TRANSACTIONS ON MEDICAL IMAGING 2007; 26:106-15. [PMID: 17243589 DOI: 10.1109/tmi.2006.886808] [Citation(s) in RCA: 93] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
We present a fully automatic method for articular cartilage segmentation from magnetic resonance imaging (MRI) which we use as the foundation of a quantitative cartilage assessment. We evaluate our method by comparisons to manual segmentations by a radiologist and by examining the interscan reproducibility of the volume and area estimates. Training and evaluation of the method is performed on a data set consisting of 139 scans of knees with a status ranging from healthy to severely osteoarthritic. This is, to our knowledge, the only fully automatic cartilage segmentation method that has good agreement with manual segmentations, an interscan reproducibility as good as that of a human expert, and enables the separation between healthy and osteoarthritic populations. While high-field scanners offer high-quality imaging from which the articular cartilage have been evaluated extensively using manual and automated image analysis techniques, low-field scanners on the other hand produce lower quality images but to a fraction of the cost of their high-field counterpart. For low-field MRI, there is no well-established accuracy validation for quantitative cartilage estimates, but we show that differences between healthy and osteoarthritic populations are statistically significant using our cartilage volume and surface area estimates, which suggests that low-field MRI analysis can become a useful, affordable tool in clinical studies.
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Kröner AH, Berger CE, Kluger R, Oberhauser G, Bock P, Engel A. Influence of high tibial osteotomy on bone marrow edema in the knee. Clin Orthop Relat Res 2007; 454:155-62. [PMID: 16936577 DOI: 10.1097/01.blo.0000238806.87411.33] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
To determine the influence of high tibial osteotomy on subchondral bone marrow edema in medial osteoarthritis of the varus knee, full leg-length radiographs and magnetic resonance imaging were performed in 20 patients (20 knees) before surgery, 1 year postoperatively, and at a mean of 7 years postoperatively. The extent of bone marrow edema in the medial compartment was quantified with magnetic resonance imaging in two planes using the formula for a prolate ellipsoid as follows: length x width x depth x pi/6. We used the Japanese Orthopaedic Association knee score for clinical evaluation. At the last followup, all knees with valgus alignment (10/10) showed reduced edema. In contrast, bone marrow edema increased or remained unchanged in four of 10 knees with neutral or varus alignment. The percentage of satisfactory results was 100% (10/10) in valgus knees and only 30% (3/10) in neutral or varus knees. Extent of bone marrow edema at the followup correlated with the mechanical axis and knee score. Because of the prognostic value of bone marrow abnormalities in the medial compartment observed on magnetic resonance imaging, early lateral closing wedge osteotomy should be considered in patients with varus malalignment and bone marrow edema even in mild cases of medial osteoarthritis.
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Affiliation(s)
- A H Kröner
- Department of Orthopedic Surgery, Danube Hospital, Vienna, Austria.
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Hanna FS, Bell RJ, Davis SR, Wluka AE, Teichtahl AJ, O'Sullivan R, Cicuttini FM. Factors affecting patella cartilage and bone in middle-aged women. ACTA ACUST UNITED AC 2007; 57:272-8. [PMID: 17330276 DOI: 10.1002/art.22535] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To evaluate the effects of age, physical activity, and body mass index (BMI) on patella cartilage volume and defects and bone volume in middle-aged women without knee pain. METHODS Magnetic resonance imaging was performed in 176 healthy women, ages 40-67 years, without knee pain to measure patella cartilage and bone volume and patella cartilage defects. The effects of age, physical activity, BMI, smoking, and alcohol were analyzed to determine whether associations existed between these variables and patella cartilage and bone volume and cartilage defects. RESULTS Patella cartilage volume decreased with age (P = 0.01) and BMI (P = 0.05) after adjusting for age and patella bone volume. Patella bone volume was positively associated with body height in both the univariate and multivariate models. Cartilage defects in the patellofemoral compartment were present in 36.4% of the study population. Age, weight, and BMI were positively associated with the presence of cartilage defects in the multivariate analysis. CONCLUSION This study demonstrated that although age is positively associated with both patella bone volume and cartilage defects, it is inversely associated with patella cartilage volume in healthy individuals. Moreover, BMI is inversely associated with both patella cartilage volume and patella bone volume in middle-aged women without knee osteoarthritis. Longitudinal studies will be required to determine whether avoiding a high BMI will reduce the risk of developing patellofemoral osteoarthritis.
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Affiliation(s)
- F S Hanna
- Monash University Medical School, Alfred Hospital, Prahran, Victoria, Australia
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Carrino JA, Blum J, Parellada JA, Schweitzer ME, Morrison WB. MRI of bone marrow edema-like signal in the pathogenesis of subchondral cysts. Osteoarthritis Cartilage 2006; 14:1081-5. [PMID: 16806996 DOI: 10.1016/j.joca.2006.05.011] [Citation(s) in RCA: 102] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2005] [Accepted: 05/13/2006] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine if a relationship exists between bone marrow edema-like signal and subchondral cysts on magnetic resonance imaging (MRI). DESIGN Retrospective cohort of 32 patients with two sequential knee MRI. Patients with acute trauma, infection, neoplasm, or osteonecrosis were excluded. The degree of osteoarthritis was assessed using an adaptation of the Baltimore Longitudinal Study of Aging (BLSA) scale. Initial and follow-up exams were reviewed for presence, location, size and changes of marrow edema-like signal, subarticular cysts and cartilage abnormality. All locations in the knee were aggregated for analysis with descriptive statistics. RESULTS The mean time interval between exams was 17.52 months (range 2.1-40.1 months). There were 23 cysts: 11 (47.8%) new, 6 (26.1%) increased size, 1 (4.4%) decreased size, and 5 (21.7%) no change in pre-existing lesions. Cysts always arose from regions of marrow edema-like signal. There were 68 subarticular areas of marrow edema-like signal: 16 (23.5%) new, 23 (33.8%) increased size, 17 (25%) decreased size, 11 (16.2%) resolved and 1 (1.5%) no change in pre-existing lesion. Marrow edema-like signal size always changed with cyst development: increased in 6/11 (54.5%), decreased in 2/11 (18.1%) and resolved in 3/11 (27.2%). Change in cyst size was always accompanied by a change in edema-like signal size. An MRI visible cartilage abnormality was adjacent to 87% (20/23) of cysts. The mean BLSA score changed from 2.6 to 3.6 indicating an overall progression of osteoarthritis. CONCLUSION Subchondral cysts develop in pre-existing regions of subchondral bone marrow edema-like signal.
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Affiliation(s)
- J A Carrino
- Harvard Medical School, Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA.
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