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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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Geng R, Li J, Yu C, Zhang C, Chen F, Chen J, Ni H, Wang J, Kang K, Wei Z, Xu Y, Jin T. Knee osteoarthritis: Current status and research progress in treatment (Review). Exp Ther Med 2023; 26:481. [PMID: 37745043 PMCID: PMC10515111 DOI: 10.3892/etm.2023.12180] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 08/11/2023] [Indexed: 09/26/2023] Open
Abstract
Knee osteoarthritis (KOA) is a common chronic articular disease worldwide. It is also the most common form of OA and is characterized by high morbidity and disability rates. With the gradual increase in life expectancy and ageing population, KOA not only affects the quality of life of patients, but also poses a burden on global public health. OA is a disease of unknown etiology and complex pathogenesis. It commonly affects joints subjected to greater loads and higher levels of activity. The knee joint, which is the most complex joint of the human body and bears the greatest load among all joints, is therefore most susceptible to development of OA. KOA lesions may involve articular cartilage, synovium, joint capsule and periarticular muscles, causing irreversible articular damage. Factors such as mechanical overload, inflammation, metabolism, hormonal changes and ageing serve key roles in the acceleration of KOA progression. The clinical diagnosis of KOA is primarily based on combined analysis of symptoms, signs, imaging and laboratory examination results. At present, there is no cure for KOA and the currently available therapies primarily focus on symptomatic treatment and delay of disease progression. Knee replacement surgery is typically performed in patients with advanced disease. The current study presents a review of epidemiological characteristics, risk factors, histopathological manifestations, pathogenesis, diagnosis, treatment modalities and progress in KOA research.
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Affiliation(s)
- Ruizhi Geng
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
- Institute of Traumatology and Orthopedics, 920th Hospital of Joint Logistics Support Force of The People's Liberation Army, Kunming, Yunnan 650051, P.R. China
| | - Jiayi Li
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
- Department of Anatomy and Histology, and Embryology, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
| | - Chen Yu
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
- Department of Orthopedics, The First People's Hospital of Yunnan Province, Kunming, Yunnan 650034, P.R. China
| | - Chaoqun Zhang
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
- Institute of Traumatology and Orthopedics, 920th Hospital of Joint Logistics Support Force of The People's Liberation Army, Kunming, Yunnan 650051, P.R. China
| | - Fei Chen
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
- Institute of Traumatology and Orthopedics, 920th Hospital of Joint Logistics Support Force of The People's Liberation Army, Kunming, Yunnan 650051, P.R. China
| | - Jie Chen
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
- School of Public Health, Kunming Medical University, Kunming, Yunnan 650032, P.R. China
| | - Haonan Ni
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
| | - Jiaxu Wang
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
- Institute of Traumatology and Orthopedics, 920th Hospital of Joint Logistics Support Force of The People's Liberation Army, Kunming, Yunnan 650051, P.R. China
| | - Kaiqiang Kang
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
- Institute of Traumatology and Orthopedics, 920th Hospital of Joint Logistics Support Force of The People's Liberation Army, Kunming, Yunnan 650051, P.R. China
| | - Ziqi Wei
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
- Department of Anatomy and Histology, and Embryology, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
| | - Yongqing Xu
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
- Institute of Traumatology and Orthopedics, 920th Hospital of Joint Logistics Support Force of The People's Liberation Army, Kunming, Yunnan 650051, P.R. China
| | - Tao Jin
- Graduate School, Kunming Medical University, Kunming, Yunnan 650500, P.R. China
- Institute of Traumatology and Orthopedics, 920th Hospital of Joint Logistics Support Force of The People's Liberation Army, Kunming, Yunnan 650051, P.R. China
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3
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Martel-Pelletier J, Paiement P, Pelletier JP. Magnetic resonance imaging assessments for knee segmentation and their use in combination with machine/deep learning as predictors of early osteoarthritis diagnosis and prognosis. Ther Adv Musculoskelet Dis 2023; 15:1759720X231165560. [PMID: 37151912 PMCID: PMC10155034 DOI: 10.1177/1759720x231165560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 03/23/2023] [Indexed: 05/09/2023] Open
Abstract
Knee osteoarthritis (OA) is a prevalent and disabling disease that can develop over decades. This disease is heterogeneous and involves structural changes in the whole joint, encompassing multiple tissue types. Detecting OA before the onset of irreversible changes is crucial for early management, and this could be achieved by allowing knee tissue visualization and quantifying their changes over time. Although some imaging modalities are available for knee structure assessment, magnetic resonance imaging (MRI) is preferred. This narrative review looks at existing literature, first on MRI-developed approaches for evaluating knee articular tissues, and second on prediction using machine/deep-learning-based methodologies and MRI as input or outcome for early OA diagnosis and prognosis. A substantial number of MRI methodologies have been developed to assess several knee tissues in a semi-quantitative and quantitative fashion using manual, semi-automated and fully automated systems. This dynamic field has grown substantially since the advent of machine/deep learning. Another active area is predictive modelling using machine/deep-learning methodologies enabling robust early OA diagnosis/prognosis. Moreover, incorporating MRI markers as input/outcome in such predictive models is important for a more accurate OA structural diagnosis/prognosis. The main limitation of their usage is the ability to move them in rheumatology practice. In conclusion, MRI knee tissue determination and quantification provide early indicators for individuals at high risk of developing this disease or for patient prognosis. Such assessment of knee tissues, combined with the development of models/tools from machine/deep learning using, in addition to other parameters, MRI markers for early diagnosis/prognosis, will maximize opportunities for individualized risk assessment for use in clinical practice permitting precision medicine. Future efforts should be made to integrate such prediction models into open access, allowing early disease management to prevent or delay the OA outcome.
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Affiliation(s)
- Johanne Martel-Pelletier
- Osteoarthritis Research Unit, University of
Montreal Hospital Research Centre (CRCHUM), 900 Saint-Denis, R11.412B,
Montreal, QC H2X 0A9, Canada
| | - Patrice Paiement
- Osteoarthritis Research Unit, University of
Montreal Hospital Research Centre (CRCHUM), Montreal, QC, Canada
| | - Jean-Pierre Pelletier
- Osteoarthritis Research Unit, University of
Montreal Hospital Research Centre (CRCHUM), Montreal, QC, Canada
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Guermazi A, Roemer FW, Crema MD, Jarraya M, Mobasheri A, Hayashi D. Strategic application of imaging in DMOAD clinical trials: focus on eligibility, drug delivery, and semiquantitative assessment of structural progression. Ther Adv Musculoskelet Dis 2023; 15:1759720X231165558. [PMID: 37063459 PMCID: PMC10103249 DOI: 10.1177/1759720x231165558] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 03/02/2023] [Indexed: 04/18/2023] Open
Abstract
Despite decades of research efforts and multiple clinical trials aimed at discovering efficacious disease-modifying osteoarthritis (OA) drugs (DMOAD), we still do not have a drug that shows convincing scientific evidence to be approved as an effective DMOAD. It has been suggested these DMOAD clinical trials were in part unsuccessful since eligibility criteria and imaging-based outcome evaluation were solely based on conventional radiography. The OA research community has been aware of the limitations of conventional radiography being used as a primary imaging modality for eligibility and efficacy assessment in DMOAD trials. An imaging modality for DMOAD trials should be able to depict soft tissue and osseous pathologies that are relevant to OA disease progression and clinical manifestations of OA. Magnetic resonance imaging (MRI) fulfills these criteria and advances in technology and increasing knowledge regarding imaging outcomes likely should play a more prominent role in DMOAD clinical trials. In this perspective article, we will describe MRI-based tools and analytic methods that can be applied to DMOAD clinical trials with a particular emphasis on knee OA. MRI should be the modality of choice for eligibility screening and outcome assessment. Optimal MRI pulse sequences must be chosen to visualize specific features of OA.
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Affiliation(s)
- Ali Guermazi
- Department of Radiology, School of Medicine, Boston University, Boston, MA 02132, USA
- VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, MA, USA
| | - Frank W. Roemer
- Department of Radiology, Universitätsklinikum Erlangen & Friedrich-Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Department of Radiology, School of Medicine, Boston University, Boston, MA, USA
| | - Michel D. Crema
- Institute of Sports Imaging, Sports Medicine Department, French National Institute of Sports (INSEP), Paris, France
- Department of Radiology, School of Medicine, Boston University, Boston, MA, USA
| | - Mohamed Jarraya
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ali Mobasheri
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
- Department of Joint Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- World Health Organization Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Liege, Belgium
| | - Daichi Hayashi
- Department of Radiology, Tufts Medical Center, Tufts Medicine, Boston, MA, USA
- Department of Radiology, School of Medicine, Boston University, Boston, MA, USA
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Diagnostic Utility of Double-Echo Steady-State (DESS) MRI for Fracture and Bone Marrow Edema Detection in Adolescent Lumbar Spondylolysis. Diagnostics (Basel) 2023; 13:diagnostics13030461. [PMID: 36766566 PMCID: PMC9914111 DOI: 10.3390/diagnostics13030461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 01/28/2023] Open
Abstract
To evaluate the ability of double-echo steady-state (DESS) MRI to detect pars interarticularis fracture and bone marrow edema (BME) in spondylolysis, 500 lumber pars interarticularis from 50 consecutive patients (38 males and 12 females, mean age 14.2 ± 3.28 years) with spondylolysis who underwent both MRI and CT within 1 week were evaluated. All participants were young athletes who complained of lower back pain. Fractures were classified into four grades and CT was used as a reference; BME was evaluated in a binary manner and STIR was used as a reference. The diagnostic performance of fractures on DESS and T1WI, and BME on DESS was assessed by two radiologists independently. For fracture detection, DESS showed high diagnostic performance at a sensitivity of 94%, specificity of 99.5%, and accuracy of 98.8%, whereas T1WI showed lower sensitivity (70.1%). Fracture grading performed by DESS showed excellent agreement with CT grading (Kappa = 0.9). For BME, the sensitivity, specificity, and accuracy of DESS were 96.5%, 100%, and 99.6%, respectively. The inter-rater agreement of DESS for fracture and BME was 0.8 and 0.85, respectively. However, the inter-rater agreement for fracture on T1WI was 0.52. DESS had high diagnostic performance for fracture and BME in pars interarticularis. In conclusion, DESS had potential to detect all critical imaging findings in spondylolysis and may replace the role of CT.
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Walsh DA, Sofat N, Guermazi A, Hunter DJ. Osteoarthritis Bone Marrow Lesions. Osteoarthritis Cartilage 2023; 31:11-17. [PMID: 36191832 DOI: 10.1016/j.joca.2022.09.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 09/19/2022] [Accepted: 09/24/2022] [Indexed: 02/02/2023]
Abstract
Assessment and treatment of Bone Marrow Lesions (BMLs) could ultimately make step changes to the lives of people with osteoarthritis (OA). We here review the imaging and pathological characteristics of OA-BMLs, their differential diagnosis and measurement, and cross-sectional and longitudinal associations with pain and OA structural progression. We discuss how biomechanical and cellular factors may contribute to BML pathogenesis, and how pharmacological and non-pharmacological interventions that target BMLs might reduce pain and OA structural progression. We critically appraise semiquantitative and quantitative methods for assessing BMLs, and their potential utilities for identifying people at risk of symptomatic and structural OA progression, and evaluating treatment responses. New interventions that target OA-BMLs should both confirm their importance, and reduce the unacceptable burden of OA.
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Affiliation(s)
- D A Walsh
- Professor of Rheumatology, Pain Centre Versus Arthritis, NIHR Nottingham Biomedical Research Centre, Academic Rheumatology, Division of Injury, Inflammation and Recovery, School of Medicine, University of Nottingham Clinical Sciences Building, City Hospital, Hucknall Road, Nottingham, NG5 1PB, United Kingdom; Consultant Rheumatologist, Sherwood Forest Hospitals NHS Foundation Trust, Mansfield Road, Sutton in Ashfield, NG17 4JL, United Kingdom.
| | - N Sofat
- Professor of Rheumatology, Institute for Infection and Immunity, St George's University of London, Cranmer Terrace, London, SW17 ORE, United Kingdom; Consultant Rheumatologist, St George's University Hospitals NHS Trust, London, SW17 OPQ, United Kingdom.
| | - A Guermazi
- Professor of Radiology, Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, Boston, MA, United States.
| | - D J Hunter
- Professor of Medicine, Sydney Musculoskeletal Health, Kolling Institute, University of Sydney and Rheumatology Department, Royal North Shore Hospital, Sydney, Australia.
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Jena A, Taneja S, Rana P, Goyal N, Vaish A, Botchu R, Vaishya R. Emerging role of integrated PET-MRI in osteoarthritis. Skeletal Radiol 2021; 50:2349-2363. [PMID: 34185124 DOI: 10.1007/s00256-021-03847-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/16/2021] [Accepted: 06/16/2021] [Indexed: 02/02/2023]
Abstract
Osteoarthritis (OA) is a common degenerative disorder of the articular cartilage, which is associated with hypertrophic changes in the bone, synovial inflammation, subchondral sclerosis, and joint space narrowing (JSN). Radiography remains the first line of imaging till now. Due to the lack of soft-tissue depiction in radiography, researchers are exploring various imaging techniques to detect OA at an early stage and understand its pathophysiology to restrict its progression and discover disease-modifying agents in OA. As the OA relates to the degradation of articular cartilage and remodeling of the underlying bone, an optimal imaging tool must be sensitive to the bone and soft tissue health. In that line, many non-invasive imaging and minimally invasive techniques have been explored. Out of these, the non-invasive compositional magnetic resonance imaging (MRI) for evaluation of the integrity of articular cartilage and positron emission tomography (PET) scan with fluorodeoxyglucose (FDG) and more specific bone-seeking tracer like sodium fluoride (18F-NaF) for bone cartilage interface are some of the leading areas of ongoing work. Integrated PET-MRI system, a new hybrid modality that combines the virtues of the above two individual modalities, allows detailed imaging of the entire joint, including soft tissue cartilage and bone, and holds great potential to research complex disease processes of OA. This narrative review attempts to signify individual characteristics of MRI, PET, the fusion of these characteristics in PET-MRI, and the ongoing research on PET-MRI as a potential tool to understand the pathophysiology of OA.
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Affiliation(s)
- Amarnath Jena
- PET SUITE (Indraprastha Apollo Hospitals and House of Diagnostics), Department of Molecular Imaging and Nuclear Medicine, Indraprastha Apollo Hospitals, Sarita Vihar, Delhi-Mathura Road, New Delhi, 110076, India
| | - Sangeeta Taneja
- PET SUITE (Indraprastha Apollo Hospitals and House of Diagnostics), Department of Molecular Imaging and Nuclear Medicine, Indraprastha Apollo Hospitals, Sarita Vihar, Delhi-Mathura Road, New Delhi, 110076, India
| | - Prerana Rana
- PET SUITE (Indraprastha Apollo Hospitals and House of Diagnostics), Department of Molecular Imaging and Nuclear Medicine, Indraprastha Apollo Hospitals, Sarita Vihar, Delhi-Mathura Road, New Delhi, 110076, India.,Apollo Hospitals Education & Research Foundation, Indraprastha Apollo Hospitals, Sarita Vihar, Delhi-Mathura Road, New Delhi, 110076, India
| | - Nidhi Goyal
- Department of Radiodiagnosis and Imaging, Indraprastha Apollo Hospitals, Sarita Vihar, Delhi-Mathura Road, New Delhi, 110076, India
| | - Abhishek Vaish
- Department of Orthopaedics and Joint Replacement Surgery, Indraprastha Apollo Hospitals, Sarita Vihar, Delhi-Mathura Road, New Delhi, 110076, India
| | - Rajesh Botchu
- Department of Musculoskeletal Radiology, Royal Orthopedic Hospital, Birmingham, UK.
| | - Raju Vaishya
- Department of Orthopaedics and Joint Replacement Surgery, Indraprastha Apollo Hospitals, Sarita Vihar, Delhi-Mathura Road, New Delhi, 110076, India
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Noorveriandi H, Parkes MJ, Callaghan MJ, Felson DT, O'Neill TW, Hodgson R. Assessment of bone marrow oedema-like lesions using MRI in patellofemoral knee osteoarthritis: comparison of different MRI pulse sequences. Br J Radiol 2021; 94:20201367. [PMID: 34233484 PMCID: PMC8523191 DOI: 10.1259/bjr.20201367] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 06/18/2021] [Accepted: 06/21/2021] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE To compare bone marrow oedema-like lesion (BML) volume in subjects with symptomatic patellofemoral (PF) knee osteoarthritis (OA) using four different MRI sequences and to determine reliability of BML volume assessment using these sequences and their correlation with pain. METHODS 76 males and females (mean age 55.8 years) with symptomatic patellofemoral knee OA had 1.5 T MRI scans. PD fat suppressed (FS), STIR, contrast-enhanced (CE) T1W FS, and 3D T1W fast field echo (FFE) sequences were obtained. All sequences were assessed by one reader, including repeat assessment of 15 knees using manual segmentation and the measurements were compared. We used random-effects panel linear regression to look for differences in the log-transformed BML volume (due to positive skew in the BML volume distribution) between sequences and to determine associations between BML volumes and knee pain. RESULTS 58 subjects had PF BMLs present on at least one sequence. Median BML volume measured using T1W FFE sequence was significantly smaller (224.7 mm3, interquartile range [IQR] 82.50-607.95) than the other three sequences. BML volume was greatest on the CE sequence (1129.8 mm3, IQR 467.28-3166.02). Compared to CE sequence, BML volumes were slightly lower when assessed using PDFS (proportional difference = 0.79; 95% confidence interval [CI] 0.62, 1.01) and STIR sequences (proportional difference = 0.85; 95% CI 0.67, 1.08). There were strong correlations between BML volume on PDFS, STIR, and CE T1W FS sequences (ρs = 0.98). Correlations were lower between these three sequences and T1W FFE (ρs = 0.80-0.81). Intraclass correlation coefficients were excellent for proton density fat-suppressed, short-tau inversion recovery, and CE T1W FS sequences (0.991-0.995), while the ICC for T1W FFE was good at 0.88. We found no significant association between BML volumes assessed using any of the sequences and knee pain. CONCLUSION T1W FFE sequences were less reliable and measured considerably smaller BML volume compared to other sequences. BML volume was larger when assessed using the contrast enhanced T1W FS though not statistically significantly different from BMLs when assessed using PDFS and STIR sequences. ADVANCES IN KNOWLEDGE This is the first study to assess BMLs by four different MRI pulse sequences on the same data set, including different fluid sensitive sequences and gradient echo type sequence.
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Affiliation(s)
- Henry Noorveriandi
- Division of Musculoskeletal & Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester, United Kingdom
| | - Matthew J Parkes
- Division of Population Health, Health Services Research & Primary Care, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | | | | | | | - Richard Hodgson
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Faculty of Biology, Medicine & Health, University of Manchester, Manchester, United Kingdom
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Hayashi D, Roemer FW, Guermazi A. How to effectively utilize imaging in disease-modifying treatments for osteoarthritis clinical trials: the radiologist's perspective. Expert Rev Mol Diagn 2021; 21:673-684. [PMID: 34015975 DOI: 10.1080/14737159.2021.1933444] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Introduction: One of the reasons for failures of disease-modifying osteoarthritis drug clinical trials has been the radiography-based definition of structural eligibility criteria. Imaging, particularly MRI, has a critical role in planning and conducting clinical trials of osteoarthritis.Areas covered: A literature search was performed using keywords including 'osteoarthritis,' 'knee,' 'MRI,' 'intra-articular injection,' 'semiquantitative scoring,' 'clinical trial,' and other specific terms where relevant. The core concepts of using MRI in osteoarthritis clinical trials are explained focusing on knee osteoarthritis, including its role in determining patient eligibility and inclusion/exclusion criteria as well as outcome measures from the expert musculoskeletal radiologist's perspective. A brief overview of statistical analyses that should be deployed in clinical trials utilizing semiquantitative MRI analyses is discussed.Expert opinion: In order to increase chances to detect measurable efficacy effects, investigators should consider utilizing MRI from screening to outcome assessment. Recognition of several phenotypes of osteoarthritis helps in participant stratification and will lead to more targeted clinical trials. Inclusion and exclusion criteria need to be defined using not only radiography but also MRI. Correct intra-articular injection of investigational compounds is critically important if intra-articular drug delivery is required, and such procedure should be performed and documented using appropriate imaging guidance.
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Affiliation(s)
- Daichi Hayashi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA.,Department of Radiology, Stony Brook University, Renaissance School of Medicine, State University of New York, Stony Brook, NY, USA
| | - Frank W Roemer
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA.,Department of Radiology, Friedrich-Alexander University Erlangen-Nuremberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Ali Guermazi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA.,Department of Radiology, Veterans Affairs Boston Healthcare System, Boston, MA, USA
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Eijgenraam SM, Chaudhari AS, Reijman M, Bierma-Zeinstra SMA, Hargreaves BA, Runhaar J, Heijboer FWJ, Gold GE, Oei EHG. Time-saving opportunities in knee osteoarthritis: T 2 mapping and structural imaging of the knee using a single 5-min MRI scan. Eur Radiol 2020; 30:2231-2240. [PMID: 31844957 PMCID: PMC7062657 DOI: 10.1007/s00330-019-06542-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 10/09/2019] [Accepted: 10/23/2019] [Indexed: 12/22/2022]
Abstract
OBJECTIVES To assess the discriminative power of a 5-min quantitative double-echo steady-state (qDESS) sequence for simultaneous T2 measurements of cartilage and meniscus, and structural knee osteoarthritis (OA) assessment, in a clinical OA population, using radiographic knee OA as reference standard. METHODS Fifty-three subjects were included and divided over three groups based on radiographic and clinical knee OA: 20 subjects with no OA (Kellgren-Lawrence grade (KLG) 0), 18 with mild OA (KLG2), and 15 with moderate OA (KLG3). All patients underwent a 5-min qDESS scan. We measured T2 relaxation times in four cartilage and four meniscus regions of interest (ROIs) and performed structural OA evaluation with the MRI Osteoarthritis Knee Score (MOAKS) using qDESS with multiplanar reformatting. Between-group differences in T2 values and MOAKS were calculated using ANOVA. Correlations of the reference standard (i.e., radiographic knee OA) with T2 and MOAKS were assessed with correlation analyses for ordinal variables. RESULTS In cartilage, mean T2 values were 36.1 ± SD 4.3, 40.6 ± 5.9, and 47.1 ± 4.3 ms for no, mild, and moderate OA, respectively (p < 0.001). In menisci, mean T2 values were 15 ± 3.6, 17.5 ± 3.8, and 20.6 ± 4.7 ms for no, mild, and moderate OA, respectively (p < 0.001). Statistically significant correlations were found between radiographic OA and T2 and between radiographic OA and MOAKS in all ROIs (p < 0.05). CONCLUSION Quantitative T2 and structural assessment of cartilage and meniscus, using a single 5-min qDESS scan, can distinguish between different grades of radiographic OA, demonstrating the potential of qDESS as an efficient tool for OA imaging. KEY POINTS • Quantitative T2values of cartilage and meniscus as well as structural assessment of the knee with a single 5-min quantitative double-echo steady-state (qDESS) scan can distinguish between different grades of knee osteoarthritis (OA). • Quantitative and structural qDESS-based measurements correlate significantly with the reference standard, radiographic degree of OA, for all cartilage and meniscus regions. • By providing quantitative measurements and diagnostic image quality in one rapid MRI scan, qDESS has great potential for application in large-scale clinical trials in knee OA.
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Affiliation(s)
- Susanne M Eijgenraam
- Deptartment of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Dr. Molewaterplein 40, Room Nd-547, 3015, GD, Rotterdam, The Netherlands
- Deptartment of Orthopedic Surgery, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | | | - Max Reijman
- Deptartment of Orthopedic Surgery, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Sita M A Bierma-Zeinstra
- Deptartment of Orthopedic Surgery, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Deptartment of General Practice, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Brian A Hargreaves
- Deptartment of Radiology, Stanford University, Stanford, CA, USA
- Deptartment of Electrical Engineering, Stanford University, Stanford, CA, USA
- Deptartment of Bioengineering, Stanford University, Stanford, CA, USA
| | - Jos Runhaar
- Deptartment of General Practice, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Frank W J Heijboer
- Deptartment of Orthopedic Surgery, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Garry E Gold
- Deptartment of Radiology, Stanford University, Stanford, CA, USA
- Deptartment of Bioengineering, Stanford University, Stanford, CA, USA
- Deptartment of Orthopedic Surgery, Stanford University, Stanford, CA, USA
| | - Edwin H G Oei
- Deptartment of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Dr. Molewaterplein 40, Room Nd-547, 3015, GD, Rotterdam, The Netherlands.
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11
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Singh V, Oliashirazi A, Tan T, Fayyad A, Shahi A. Clinical and Pathophysiologic Significance of MRI Identified Bone Marrow Lesions Associated with Knee Osteoarthritis. THE ARCHIVES OF BONE AND JOINT SURGERY 2019; 7:211-219. [PMID: 31312677 PMCID: PMC6578476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Accepted: 01/04/2019] [Indexed: 06/10/2023]
Abstract
UNLABELLED Knee osteoarthritis (OA) affects the joint beyond just the articular cartilage. Specifically, magnetic resonance imaging-identified bone marrow lesions (BML) in the subchondral bone have both clinical and pathophysiological significance. Compared to joint space narrowing on traditional radiographs, the presence of BMLs has been better correlated with severity of clinical symptoms as well as clinical deterioration. Presence of a BML increases the likelihood for progression to a total knee arthroplasty by up to nine fold. Histochemical analysis of BMLs has shown increased levels of tumor necrosis factor-alpha, matrix metalloproteinases and substance P, thought to stimulate pain receptors in osteoarthritis. LEVEL OF EVIDENCE V.
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Affiliation(s)
- Vishavpreet Singh
- Oliashirazi Institute at Marshall University, Huntington, WV, USA
- Rothman Institute at Thomas Jefferson University, Philadephia, PA, USA
- Medcare Orthopedics and Spine Hospital, Dubai, UAE
- Cooper Bone and Joint Institute at Cooper Medical School of Rowan University, Camden, NJ, USA
- Oliashirazi Institute at Marshall University, Huntington, WV, USA
- Rothman Institute at Thomas Jefferson University, Philadelphia, PA, USA
- Research performed at Oliashirazi Institute at Marshall University, Huntington, USA
| | - Ali Oliashirazi
- Oliashirazi Institute at Marshall University, Huntington, WV, USA
- Rothman Institute at Thomas Jefferson University, Philadephia, PA, USA
- Medcare Orthopedics and Spine Hospital, Dubai, UAE
- Cooper Bone and Joint Institute at Cooper Medical School of Rowan University, Camden, NJ, USA
- Oliashirazi Institute at Marshall University, Huntington, WV, USA
- Rothman Institute at Thomas Jefferson University, Philadelphia, PA, USA
- Research performed at Oliashirazi Institute at Marshall University, Huntington, USA
| | - Timothy Tan
- Oliashirazi Institute at Marshall University, Huntington, WV, USA
- Rothman Institute at Thomas Jefferson University, Philadephia, PA, USA
- Medcare Orthopedics and Spine Hospital, Dubai, UAE
- Cooper Bone and Joint Institute at Cooper Medical School of Rowan University, Camden, NJ, USA
- Oliashirazi Institute at Marshall University, Huntington, WV, USA
- Rothman Institute at Thomas Jefferson University, Philadelphia, PA, USA
- Research performed at Oliashirazi Institute at Marshall University, Huntington, USA
| | - Azzam Fayyad
- Oliashirazi Institute at Marshall University, Huntington, WV, USA
- Rothman Institute at Thomas Jefferson University, Philadephia, PA, USA
- Medcare Orthopedics and Spine Hospital, Dubai, UAE
- Cooper Bone and Joint Institute at Cooper Medical School of Rowan University, Camden, NJ, USA
- Oliashirazi Institute at Marshall University, Huntington, WV, USA
- Rothman Institute at Thomas Jefferson University, Philadelphia, PA, USA
- Research performed at Oliashirazi Institute at Marshall University, Huntington, USA
| | - Alisina Shahi
- Oliashirazi Institute at Marshall University, Huntington, WV, USA
- Rothman Institute at Thomas Jefferson University, Philadephia, PA, USA
- Medcare Orthopedics and Spine Hospital, Dubai, UAE
- Cooper Bone and Joint Institute at Cooper Medical School of Rowan University, Camden, NJ, USA
- Oliashirazi Institute at Marshall University, Huntington, WV, USA
- Rothman Institute at Thomas Jefferson University, Philadelphia, PA, USA
- Research performed at Oliashirazi Institute at Marshall University, Huntington, USA
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12
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Hayashi D, Roemer FW, Guermazi A. Imaging of Osteoarthritis by Conventional Radiography, MR Imaging, PET–Computed Tomography, and PET–MR Imaging. PET Clin 2019; 14:17-29. [DOI: 10.1016/j.cpet.2018.08.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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13
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Mattap SM, Aitken D, Wills K, Laslett L, Ding C, Pelletier JP, Martel-Pelletier J, Graves SE, Lorimer M, Cicuttini F, Jones G. How Do MRI-Detected Subchondral Bone Marrow Lesions (BMLs) on Two Different MRI Sequences Correlate with Clinically Important Outcomes? Calcif Tissue Int 2018; 103:131-143. [PMID: 29441423 DOI: 10.1007/s00223-018-0402-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 02/05/2018] [Indexed: 01/30/2023]
Abstract
The aim of this study is to describe the association of bone marrow lesions (BMLs) present on two different MRI sequences with clinical outcomes, cartilage defect progression, cartilage volume loss over 2.7 years, and total knee replacement (TKR) over 13.3 years. 394 participants (50-80 years) were assessed at baseline and 2.7 years. BML presence at baseline was scored on T1-weighted fat-suppressed 3D gradient-recalled acquisition (T1) and T2-weighted fat-suppressed 2D fast spin-echo (T2) sequences. Knee pain, function, and stiffness were assessed using WOMAC. Cartilage volume and defects were assessed using validated methods. Incident TKR was determined by data linkage. BMLs were mostly present on both MRI sequences (86%). BMLs present on T2, T1, and both sequences were associated with greater knee pain and functional limitation (odds ratio = 1.49 to 1.70; all p < 0.05). Longitudinally, BMLs present on T2, T1, and both sequences were associated with worsening knee pain (β = 1.12 to 1.37, respectively; p < 0.05) and worsening stiffness (β = 0.45 to 0.52, respectively; all p < 0.05) but not worsening functional limitation or total WOMAC. BMLs present on T2, T1, and both sequences predicted site-specific cartilage defect progression (relative risk = 1.22 to 4.63; all p < 0.05) except at the medial tibial and inferior patellar sites. Lateral tibial and superior patellar BMLs present on T2, T1, and both sequences predicted site-specific cartilage volume loss (β = - 174.77 to - 140.67; p < 0.05). BMLs present on T2, T1, and both sequences were strongly associated with incident TKR. BMLs can be assessed on either T2- or T1-weighted sequences with no clinical predictive advantage of either sequence.
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Affiliation(s)
- Siti Maisarah Mattap
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia.
| | - Dawn Aitken
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
| | - Karen Wills
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
| | - Laura Laslett
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
| | - Changhai Ding
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
| | - Jean-Pierre Pelletier
- Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), Montreal, QC, Canada
| | - Johanne Martel-Pelletier
- Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), Montreal, QC, Canada
| | - Stephen E Graves
- Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR), Adelaide, SA, Australia
| | - Michelle Lorimer
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
| | - Flavia Cicuttini
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Graeme Jones
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
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14
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Hayashi D, Li X, Murakami AM, Roemer FW, Trattnig S, Guermazi A. Understanding Magnetic Resonance Imaging of Knee Cartilage Repair: A Focus on Clinical Relevance. Cartilage 2018; 9:223-236. [PMID: 28580842 PMCID: PMC6042034 DOI: 10.1177/1947603517710309] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The aims of this review article are (a) to describe the principles of morphologic and compositional magnetic resonance imaging (MRI) techniques relevant for the imaging of knee cartilage repair surgery and their application to longitudinal studies and (b) to illustrate the clinical relevance of pre- and postsurgical MRI with correlation to intraoperative images. First, MRI sequences that can be applied for imaging of cartilage repair tissue in the knee are described, focusing on comparison of 2D and 3D fast spin echo and gradient recalled echo sequences. Imaging features of cartilage repair tissue are then discussed, including conventional (morphologic) MRI and compositional MRI techniques. More specifically, imaging techniques for specific cartilage repair surgery techniques as described above, as well as MRI-based semiquantitative scoring systems for the knee cartilage repair tissue-MR Observation of Cartilage Repair Tissue and Cartilage Repair OA Knee Score-are explained. Then, currently available surgical techniques are reviewed, including marrow stimulation, osteochondral autograft, osteochondral allograft, particulate cartilage allograft, autologous chondrocyte implantation, and others. Finally, ongoing research efforts and future direction of cartilage repair tissue imaging are discussed.
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Affiliation(s)
- Daichi Hayashi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA,Department of Radiology, Yale New Haven Health at Bridgeport Hospital, Bridgeport, CT, USA,Daichi Hayashi, Department of Radiology, Boston University School of Medicine, 820 Harrison Avenue, FGH Building 3rd Floor, Boston, MA 02118, USA.
| | - Xinning Li
- Department of Orthopedic Surgery, Boston University School of Medicine, Boston, MA, USA
| | - Akira M. Murakami
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA
| | - Frank W. Roemer
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA,Department of Radiology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Siegfried Trattnig
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Ali Guermazi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA
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15
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Vaysbrot EE, Osani MC, Musetti MC, McAlindon TE, Bannuru RR. Are bisphosphonates efficacious in knee osteoarthritis? A meta-analysis of randomized controlled trials. Osteoarthritis Cartilage 2018; 26:154-164. [PMID: 29222056 DOI: 10.1016/j.joca.2017.11.013] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Revised: 10/25/2017] [Accepted: 11/27/2017] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To clarify the effects of bisphosphonates in knee osteoarthritis (OA) using an up-to-date meta-analysis of randomized controlled trials (RCTs). DESIGN The protocol is registered in PROSPERO (CRD42017073449). We searched MEDLINE, EMBASE, Google Scholar, Web of Science, and Cochrane Database from inception until August 2017. We included only RCTs comparing any bisphosphonates vs placebo in knee OA patients and reporting validated pain and function scales, radiographic progression, and adverse events (AEs) outcomes. We excluded studies using active comparators or concomitant medications besides non-steroidal anti-inflammatory drugs (NSAIDs) and acetaminophen. We calculated standardized mean differences (SMDs) to account for variation in outcome scales. Random effects meta-analyses were performed. RESULTS We included seven RCTs (3013 patients, 69% female); most patients (N = 2767) received oral risedronate. No pain or function outcomes, regardless of dose, route, time point or measuring instrument, revealed statistically significant results (end of trial pain SMD = -0.16 [95% confidence interval (CI): -0.34, 0.02]). Similarly, we found no statistically significant effect on radiographic progression (risk ratio = 0.98 [95% CI: 0.77, 1.26]). One small RCT in patients with bone marrow lesions (BMLs) suggested a reduction in BML size at 6 months. Bisphosphonates displayed good tolerability, with no statistically significant differences in AE outcomes vs placebo. CONCLUSIONS Contrary to prior reviews, our analysis showed that bisphosphonates neither provide symptomatic relief nor defer radiographic progression in knee OA. However, these agents may still be beneficial in certain subsets of patients who display high rates of subchondral bone turnover. Future studies should be directed at defining such OA subsets and investigating the effects of bisphosphonates in those patients.
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Affiliation(s)
- E E Vaysbrot
- Center for Treatment Comparison and Integrative Analysis (CTCIA), Division of Rheumatology, Tufts Medical Center, 800 Washington Street, 02111 Boston, MA, USA
| | - M C Osani
- Center for Treatment Comparison and Integrative Analysis (CTCIA), Division of Rheumatology, Tufts Medical Center, 800 Washington Street, 02111 Boston, MA, USA
| | - M-C Musetti
- Center for Treatment Comparison and Integrative Analysis (CTCIA), Division of Rheumatology, Tufts Medical Center, 800 Washington Street, 02111 Boston, MA, USA
| | - T E McAlindon
- Center for Treatment Comparison and Integrative Analysis (CTCIA), Division of Rheumatology, Tufts Medical Center, 800 Washington Street, 02111 Boston, MA, USA
| | - R R Bannuru
- Center for Treatment Comparison and Integrative Analysis (CTCIA), Division of Rheumatology, Tufts Medical Center, 800 Washington Street, 02111 Boston, MA, USA.
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16
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Hayashi D, Roemer FW, Guermazi A. Imaging of osteoarthritis-recent research developments and future perspective. Br J Radiol 2018; 91:20170349. [PMID: 29271229 DOI: 10.1259/bjr.20170349] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
In osteoarthritis research, imaging plays an important role in clinical trials and epidemiological observational studies. In this narrative review article, we will describe recent developments in imaging of osteoarthritis in the research arena, mainly focusing on literature evidence published within the past 3 years (2014-2017). We will primarily focus on MRI including advanced imaging techniques that are not currently commonly used in routine clinical practice, although radiography, ultrasound and nuclear medicine (radiotracer) imaging will also be discussed. Research efforts to uncover the disease process of OA as well as to discover a disease modifying OA drug continue. MRI continues to play a large role in these endeavors, while compositional MRI techniques will increasingly become important due to their ability to assess "premorphologic" biochemical changes of articular cartilage and other tissues in and around joints. Radiography remain the primary imaging modality for defining inclusion/exclusion criteria as well as an outcome measure in OA clinical trials, despite known limitations for visualization of OA features. Compositional MRI techniques show promise for predicting structural and clinical outcomes in OA research. Ultrasound can be a useful adjunct to radiography and MRI particularly for evaluation of hand OA. Newer imaging techniques such as hybrid PET/MRI may have a potential but require further research and validation.
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Affiliation(s)
- Daichi Hayashi
- 1 Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine , Boston, MA , USA.,2 Department of Radiology, Stony Brook University School of Medicine , Stony Brook, NY , USA
| | - Frank W Roemer
- 1 Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine , Boston, MA , USA.,3 Department of Radiology, University of Erlangen-Nuremberg , Erlangen , Germany
| | - Ali Guermazi
- 1 Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine , Boston, MA , USA
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Briggs MT, Kuliwaba JS, Muratovic D, Everest-Dass AV, Packer NH, Findlay DM, Hoffmann P. MALDI mass spectrometry imaging of N-glycans on tibial cartilage and subchondral bone proteins in knee osteoarthritis. Proteomics 2017; 16:1736-41. [PMID: 26992165 DOI: 10.1002/pmic.201500461] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 02/15/2016] [Accepted: 03/11/2016] [Indexed: 01/17/2023]
Abstract
Magnetic resonance imaging (MRI) is a non-invasive technique routinely used to investigate pathological changes in knee osteoarthritis (OA) patients. MRI uniquely reveals zones of the most severe change in the subchondral bone (SCB) in OA, called bone marrow lesions (BMLs). BMLs have diagnostic and prognostic significance in OA, but MRI does not provide a molecular understanding of BMLs. Multiple N-glycan structures have been observed to play a pivotal role in the OA disease process. We applied matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) of N-glycans to formalin-fixed paraffin-embedded (FFPE) SCB tissue sections from patients with knee OA, and liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS) was conducted on consecutive sections to structurally characterize and correlate with the N-glycans seen by MALDI-MSI. The application of this novel MALDI-MSI protocol has enabled the first steps to spatially investigate the N-glycome in the SCB of knee OA patients.
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Affiliation(s)
- Matthew T Briggs
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia.,Institute of Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, Australia
| | - Julia S Kuliwaba
- Discipline of Orthopaedics and Trauma, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia.,Bone and Joint Research Laboratory, SA Pathology, Adelaide, South Australia, Australia
| | - Dzenita Muratovic
- Discipline of Orthopaedics and Trauma, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia.,Bone and Joint Research Laboratory, SA Pathology, Adelaide, South Australia, Australia
| | - Arun V Everest-Dass
- Biomolecular Frontiers Research Centre, Faculty of Science, Macquarie University, Sydney, New South Wales, Australia.,Centre of Excellence for Nanoscale BioPhotonics (CNBP), Macquarie University, Sydney, New South Wales, Australia
| | - Nicolle H Packer
- Biomolecular Frontiers Research Centre, Faculty of Science, Macquarie University, Sydney, New South Wales, Australia.,Centre of Excellence for Nanoscale BioPhotonics (CNBP), Macquarie University, Sydney, New South Wales, Australia
| | - David M Findlay
- Discipline of Orthopaedics and Trauma, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia
| | - Peter Hoffmann
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia.,Institute of Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, Australia
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18
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Abstract
With technologic advances and the availability of sophisticated computer software and analytical strategies, imaging plays an increasingly important role in understanding the disease process of osteoarthritis (OA). Radiography has limitations in that it can visualize only limited features of OA, such as osteophytes and joint space narrowing, but remains the most commonly used modality for establishing an imaging-based diagnosis of OA. This article describes the roles and limitations of different imaging modalities and discusses the optimum imaging protocol, imaging diagnostic criteria of OA, differential diagnoses, and what the referring physician needs to know.
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20
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Muratovic D, Cicuttini F, Wluka A, Findlay D, Wang Y, Otto S, Taylor D, Humphries J, Lee Y, Labrinidis A, Williams R, Kuliwaba J. Bone marrow lesions detected by specific combination of MRI sequences are associated with severity of osteochondral degeneration. Arthritis Res Ther 2016; 18:54. [PMID: 26912313 PMCID: PMC4766616 DOI: 10.1186/s13075-016-0953-x] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 02/09/2016] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Bone marrow lesions (BMLs) are useful diagnostic and prognostic markers in knee osteoarthritis (OA), but what they represent at the tissue level remains unclear. The aim of this study was to provide comprehensive tissue characterization of BMLs detected using two specific MRI sequences. METHODS Tibial plateaus were obtained from 60 patients (29 females, 31 males), undergoing knee arthroplasty for OA. To identify BMLs, MRI was performed ex vivo using T1 and PDFS-weighted sequences. Multi-modal tissue level analyses of the osteochondral unit (OCU) were performed, including cartilage volume measurement, OARSI grading, micro-CT analysis of bone microstructure, routine histopathological assessment and quantitation of bone turnover indices. RESULTS BMLs were detected in 74 % of tibial plateaus, the remainder comprising a No BML group. Of all BMLs, 59 % were designated BML 1 (detected only by PDFS) and 41 % were designated BML 2 (detected by both PDFS + T1). The presence of a BML was related to degeneration of the OCU, particularly within BML 2. When compared to No BML, BML 2 showed reduced cartilage volume (p = 0.008), higher OARSI scores (p = 0.004), thicker subchondral plate (p = 0.002), increased trabecular bone volume and plate-like structure (p = 0.0004), increased osteoid volume (p = 0.002) and thickness (p = 0.003), more bone marrow oedema (p = 0.03), fibrosis (p = 0.002), necrosis (p = 0.01) and fibrovascular cysts (p = 0.04). For most measures, BML 1 was intermediate between No BML and BML 2. CONCLUSIONS BMLs detected by specific MRI sequences identify different degrees of degeneration in the OCU. This suggests that MRI characteristics of BMLs may enable identification of different BML phenotypes and help target novel approaches to treatment and prevention of OA.
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Affiliation(s)
- Dzenita Muratovic
- Discipline of Orthopaedics and Trauma, The University of Adelaide, Adelaide, Australia. .,Bone and Joint Research Laboratory, SA Pathology, Frome Road, Adelaide, 5000, Australia.
| | - Flavia Cicuttini
- Department of Epidemiology & Preventive Medicine, Monash University, Melbourne, Australia.
| | - Anita Wluka
- Department of Epidemiology & Preventive Medicine, Monash University, Melbourne, Australia.
| | - David Findlay
- Discipline of Orthopaedics and Trauma, The University of Adelaide, Adelaide, Australia.
| | - Yuanyuan Wang
- Department of Epidemiology & Preventive Medicine, Monash University, Melbourne, Australia.
| | - Sophia Otto
- Anatomical Pathology, SA Pathology, Adelaide, Australia.
| | - David Taylor
- Department of Radiology, Royal Adelaide Hospital, Adelaide, Australia.
| | - Julia Humphries
- Bone and Joint Research Laboratory, SA Pathology, Frome Road, Adelaide, 5000, Australia.
| | - Yearin Lee
- Bone and Joint Research Laboratory, SA Pathology, Frome Road, Adelaide, 5000, Australia.
| | - Agatha Labrinidis
- Adelaide Microscopy, The University of Adelaide, Adelaide, Australia.
| | - Ruth Williams
- Adelaide Microscopy, The University of Adelaide, Adelaide, Australia.
| | - Julia Kuliwaba
- Discipline of Orthopaedics and Trauma, The University of Adelaide, Adelaide, Australia. .,Bone and Joint Research Laboratory, SA Pathology, Frome Road, Adelaide, 5000, Australia.
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Roemer FW, Hunter DJ, Crema MD, Kwoh CK, Ochoa-Albiztegui E, Guermazi A. An illustrative overview of semi-quantitative MRI scoring of knee osteoarthritis: lessons learned from longitudinal observational studies. Osteoarthritis Cartilage 2016; 24:274-89. [PMID: 26318656 PMCID: PMC4724524 DOI: 10.1016/j.joca.2015.08.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2015] [Revised: 07/06/2015] [Accepted: 08/18/2015] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To introduce the most popular magnetic resonance imaging (MRI) osteoarthritis (OA) semi-quantitative (SQ) scoring systems to a broader audience with a focus on the most commonly applied scores, i.e., the MOAKS and WORMS system and illustrate similarities and differences. DESIGN While the main structure and methodology of each scoring system are publicly available, the core of this overview will be an illustrative imaging atlas section including image examples from multiple OA studies applying MRI in regard to different features assessed, show specific examples of different grades and point out pitfalls and specifics of SQ assessment including artifacts, blinding to time point of acquisition and within-grade evaluation. RESULTS Similarities and differences between different scoring systems are presented. Technical considerations are followed by a brief description of the most commonly utilized SQ scoring systems including their responsiveness and reliability. The second part is comprised of the atlas section presenting illustrative image examples. CONCLUSIONS Evidence suggests that SQ assessment of OA by expert MRI readers is valid, reliable and responsive, which helps investigators to understand the natural history of this complex disease and to evaluate potential new drugs in OA clinical trials. Researchers have to be aware of the differences and specifics of the different systems to be able to engage in imaging assessment and interpretation of imaging-based data. SQ scoring has enabled us to explain associations of structural tissue damage with clinical manifestations of the disease and with morphological alterations thought to represent disease progression.
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Affiliation(s)
- Frank W. Roemer
- Quantitative Imaging Center (QIC), Department of Radiology, Boston University School of Medicine, Boston, MA, USA,Department of Radiology, University of Erlangen-Nuremberg, Erlangen, Germany,Corresponding author and reprint requests: Frank W. Roemer, M.D., Associate Professor of Radiology, Boston University School of Medicine, Boston, MA & University of Erlangen-Nuremberg, Erlangen, Germany, Co-Director Quantitative Imaging Center (QIC), Department of Radiology, Boston University School of Medicine, FGH Building, 3rd floor, 820 Harrison Ave, Boston, MA 02118, Tel +1 617 414-4954 Fax +1 617 638-6616,
| | - David J. Hunter
- Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Sydney, Australia and Rheumatology Department, Royal North Shore Hospital
| | - Michel D. Crema
- Quantitative Imaging Center (QIC), Department of Radiology, Boston University School of Medicine, Boston, MA, USA,Department of Radiology, Hospital do Coração (HCor) and Teleimagem, São Paulo-SP, Brazil
| | - C. Kent Kwoh
- University of Arizona Arthritis Center & University of Arizona College of Medicine, Tucson, AZ, USA
| | - Elena Ochoa-Albiztegui
- Department of Radiology and Molecular Medicine, The American British Cowdray Medical Center, I.A.P., Mexico City, Mexico
| | - Ali Guermazi
- Quantitative Imaging Center (QIC), Department of Radiology, Boston University School of Medicine, Boston, MA, USA
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Abstract
Osteoarthritis (OA) is a widely prevalent disease worldwide and, with an increasing ageing society, is a challenge for the field of physical and rehabilitation medicine. Technologic advances and implementation of sophisticated post-processing instruments and analytic strategies have resulted in imaging playing a more and more important role in understanding the disease process of OA. Radiography is still the most commonly used imaging modality for establishing an imaging-based diagnosis of OA. The need for an effective non-surgical OA treatment is highly desired, but despite on-going research efforts no disease-modifying OA drugs have been discovered or approved to date. MR imaging-based studies have revealed some of the limitations of radiography. The ability of MR to image all relevant joint tissues within the knee and to visualize cartilage morphology and composition has resulted in MRI playing a key role in understanding the natural history of the disease and in the search for new therapies. Our review will focus on the roles and limitations of radiography and MRI with particular attention to knee OA. The use of other modalities (e.g. ultrasound, nuclear medicine, computed tomography (CT), and CT/MR arthrography) in clinical practice and OA research will also be briefly described. Ultrasound may be useful to evaluate synovial pathology in osteoarthritis, particularly in the hand.
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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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Conventional and novel imaging modalities in osteoarthritis: current state of the evidence. Curr Opin Rheumatol 2015; 27:295-303. [PMID: 25803224 DOI: 10.1097/bor.0000000000000163] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW Imaging modalities are currently an inseparable part of osteoarthritis diagnosis. In this review, we describe the current state of evidence regarding conventional and novel imaging modalities in evaluation of osteoarthritis. Modalities including radiography (qualitative and semi-quantitative assessments), ultrasonography, computed tomography [CT; conventional multidetector CT (MDCT), cone-beam CT (CBCT) and four-dimensional CT (4DCT)], MRI (MRI; semi-quantitative, quantitative and compositional) and PET and their applications are reviewed. RECENT FINDINGS Radiography is the modality of choice for initial assessment of osteoarthritis. However, due to its low sensitivity and specificity, numerous recent investigations have proposed MRI as a powerful addition to detect and grade osteoarthritis features, which are not apparent in radiography. Semi-quantitative MRI measurements are feasible to perform in routine clinical practice. Quantitative and compositional MRI measurements have extended the amount of information an MRI examination can provide regarding the three-dimensional shape and tissue composition of articular cartilage. 4DCT and CBCT are introduced as imaging examinations that may reveal biomechanical cartilage abnormalities in osteoarthritis joint by dynamic and weight-bearing evaluations, respectively. Recent PET studies may unveil the underlying metabolic activities that can be associated with osteoarthritis. SUMMARY In addition to the established role of radiographs, MRI is the advanced modality of choice for detection and quantification of various osteoarthritis features. 4DCT and CBCT may have specified applications when diagnosis of underlying motion abnormality or dynamic changes in weight-bearing situation is suspected. Future studies should elucidate the specific clinical applications of ultrasonography and PET.
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Jarraya M, Hayashi D, Roemer FW, Guermazi A. MR Imaging-based Semi-quantitative Methods for Knee Osteoarthritis. Magn Reson Med Sci 2015; 15:153-64. [PMID: 26632537 PMCID: PMC5600052 DOI: 10.2463/mrms.rev.2015-0058] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Magnetic resonance imaging (MRI)-based semi-quantitative (SQ) methods applied to knee osteoarthritis (OA) have been introduced during the last decade and have fundamentally changed our understanding of knee OA pathology since then. Several epidemiological studies and clinical trials have used MRI-based SQ methods to evaluate different outcome measures. Interest in MRI-based SQ scoring system has led to continuous update and refinement. This article reviews the different SQ approaches for MRI-based whole organ assessment of knee OA and also discuss practical aspects of whole joint assessment.
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Affiliation(s)
- Mohamed Jarraya
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine
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Magnetic Resonance Image Sequence Influences the Relationship between Bone Marrow Lesions Volume and Pain: Data from the Osteoarthritis Initiative. BIOMED RESEARCH INTERNATIONAL 2015; 2015:731903. [PMID: 26609533 PMCID: PMC4644821 DOI: 10.1155/2015/731903] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 10/16/2015] [Accepted: 10/19/2015] [Indexed: 11/17/2022]
Abstract
Subchondral bone marrow lesions (BMLs) are related to structural and symptomatic osteoarthritis progression. However, it is unclear how sequence selection influences a quantitative BML measurement and its construct validity. We compared quantitative assessment of BMLs on intermediate-weighted fat suppressed (IW FS) turbo spin echo and 3-dimensional dual echo steady state (3D DESS) sequences. We used a customized software to measure 30 knees' (24- and 48-month MR images) BMLs on both sequences. The results showed that the IW FS sequences have much larger BML volumes (median: IW FS = 1840 mm3; DESS = 191 mm3) and BML volume change (between 24 and 48 months) than DESS sequence and demonstrate more BML volume change. The 24-month BML volume on IW FS is correlated with BML volume on DESS (rs = 0.83). BML volume change on IW FS is not significantly correlated with change on DESS. The 24-month WOMAC pain is correlated with the 24-month BMLs on IW FS (rs = 0.39) but not DESS. The change in WOMAC pain is correlated with BML volume change on IW FS (rs = 0.37) but not DESS. Overall, BML quantification on IW FS offers better validity and statistical power than BML quantification on a 3D DESS sequence.
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Guermazi A, Roemer FW, Alizai H, Winalski CS, Welsch G, Brittberg M, Trattnig S. State of the Art: MR Imaging after Knee Cartilage Repair Surgery. Radiology 2015; 277:23-43. [DOI: 10.1148/radiol.2015141146] [Citation(s) in RCA: 75] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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Wluka AE, Teichtahl AJ, Maulana R, Liu BM, Wang Y, Giles GG, O'Sullivan R, Findlay D, Cicuttini FM. Bone marrow lesions can be subtyped into groups with different clinical outcomes using two magnetic resonance imaging (MRI) sequences. Arthritis Res Ther 2015; 17:270. [PMID: 26410822 PMCID: PMC4584130 DOI: 10.1186/s13075-015-0780-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Accepted: 09/08/2015] [Indexed: 01/30/2023] Open
Abstract
Introduction Bone marrow lesions (BMLs) are features detected on MRI that are important in the pathogenesis of knee osteoarthritis. Since BMLs reflect heterogeneous pathologies this prospective cohort study examined whether BMLs detected using different MRI sequences are associated with distinct structural and clinical endpoints. Methods A total of 297 community-based adults without knee pain were examined to identify BMLs visualised using three-dimensional T1-weighted gradient-echo fat-suppressed (T1-weighted sequences) fat-suppressed and fat-saturated FSE T2-weighted MRI sequences (T2-weighted sequences) at baseline. Cartilage volume was measured at baseline and follow-up, while incident knee pain was assessed at follow-up, an average of 2.3 years later. Results At baseline, 46 BMLs were visualised in 39 participants. Of the 45 BMLs visualised on T2-weighted sequences, 34 (74 %) were also seen on T1-weighted sequences. One BML was seen on only T1-weighted sequences. Knees with BMLs visualised on both T1- and T2-weighted sequences had significantly higher medial tibial cartilage volume loss (45 mm3/annum, standard error of the mean (SEM) 14) than those with BMLs identified on only T2-weighted sequences (−13 mm3/annum SEM 19), after adjustment for age, gender and body mass index (p = 0.01). Incident knee pain was more likely in individuals with BMLs in the medial compartment visualised on both T1- and T2-weighted (eight participants, 53 %) compared to those with BMLs on only T2-weighted sequences (0 %) or no BMLs (76 participants, 31 %, p = 0.02). Conclusions BMLs present on both T1- and T2-weighted MRI sequences were associated with increased medial tibial cartilage loss and incident knee pain compared with those BMLs seen only on T2-weighted sequences. This suggests that combining different MRI sequences may provide more informative targets in the prevention and treatment of knee osteoarthritis.
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Affiliation(s)
- Anita E Wluka
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
| | - Andrew J Teichtahl
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, 99 Commercial Road, Melbourne, VIC, 3004, Australia. .,Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia.
| | - Rheza Maulana
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
| | - Bonnie M Liu
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
| | - Yuanyuan Wang
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Carlton, Australia and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC, 3010, Australia.
| | - Richard O'Sullivan
- Healthcare Imaging Services, Epworth Hospital, 89 Bridge Road, Melbourne, VIC, 3121, Australia.
| | - David Findlay
- Discipline of Orthopaedics and Trauma, University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia.
| | - Flavia M Cicuttini
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
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Guermazi A, Eckstein F, Hunter D, Roemer F. 7th International Workshop on Osteoarthritis Imaging report: "imaging in OA--now is the time to move ahead". Osteoarthritis Cartilage 2015; 23:888-96. [PMID: 25677109 DOI: 10.1016/j.joca.2015.02.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2014] [Revised: 01/27/2015] [Accepted: 02/01/2015] [Indexed: 02/07/2023]
Abstract
UNLABELLED The 7th Osteoarthritis Research Society International (OARSI) International Workshop on Osteoarthritis Imaging was held in Reykjavik, Iceland, from July 9-12, 2014; attracting attendees from academia, pharmaceutical and Magnetic resonance imaging (MRI) industries, as well as a large number of young investigators. The Workshop program consisted of six modules, including imaging in osteoarthritis (OA), imaging and pain in OA, new techniques in imaging, risk factors and structural outcomes, anti-nerve growth factor (a-NGF) therapy, and joint replacement. A wealth of data was presented from OA researchers from all over the world and participants gained insightful knowledge on up-to-date research work focusing on imaging of OA. This paper presents a summary of the salient points from the workshop. CONCLUSIONS Identifying the appropriate imaging modality and parameters will be critical for ensuring responsive, reproducible and reliable outcomes for clinical trials. Continued efforts from the OA research community are needed to establish the most effective use of imaging in OA clinical trials, including anti-NGF therapy and joint replacement trials, and to validate newer imaging techniques such as compositional MRI for use in the future clinical trials.
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Affiliation(s)
- A Guermazi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, USA.
| | - F Eckstein
- Institute of Anatomy, Paracelsus Medical University Salzburg & Nuremberg, Salzburg, Austria
| | - D Hunter
- Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Sydney, Australia; Rheumatology Department, Royal North Shore Hospital, St Leonards, Sydney, Australia
| | - F Roemer
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, USA; Department of Radiology, University of Erlangen-Nuremberg, Erlangen, Germany
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An update on risk factors for cartilage loss in knee osteoarthritis assessed using MRI-based semiquantitative grading methods. Eur Radiol 2014; 25:883-93. [DOI: 10.1007/s00330-014-3464-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Revised: 09/20/2014] [Accepted: 10/01/2014] [Indexed: 02/01/2023]
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Imaging of cartilage and bone: promises and pitfalls in clinical trials of osteoarthritis. Osteoarthritis Cartilage 2014; 22:1516-32. [PMID: 25278061 PMCID: PMC4351816 DOI: 10.1016/j.joca.2014.06.023] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Revised: 05/22/2014] [Accepted: 06/22/2014] [Indexed: 02/02/2023]
Abstract
Imaging in clinical trials is used to evaluate subject eligibility, and/or efficacy of intervention, supporting decision making in drug development by ascertaining treatment effects on joint structure. This review focusses on imaging of bone and cartilage in clinical trials of (knee) osteoarthritis. We narratively review the full-text literature on imaging of bone and cartilage, adding primary experience in the implementation of imaging methods in clinical trials. Aims and constraints of applying imaging in clinical trials are outlined. The specific uses of semi-quantitative and quantitative imaging biomarkers of bone and cartilage in osteoarthritis trials are summarized, focusing on radiography and magnetic resonance imaging (MRI). Studies having compared both imaging methodologies directly and those having established a relationship between imaging biomarkers and clinical outcomes are highlighted. To make this review of practical use, recommendations are provided as to which imaging protocols are ideal for capturing specific aspects of bone and cartilage tissue, and pitfalls in their usage are highlighted. Further, the longitudinal sensitivity to change, of different imaging methods is reported for various patient strata. From these power calculations can be accomplished, provided the strength of the treatment effect is known. In conclusion, current imaging methodologies provide powerful tools for scoring and measuring morphological and compositional aspects of most articular tissues, capturing longitudinal change with reasonable to excellent sensitivity. When employed properly, imaging has tremendous potential for ascertaining treatment effects on various joint structures, potentially over shorter time scales than required for demonstrating effects on clinical outcomes.
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Abstract
Magnetic resonance imaging (MRI) has become an increasingly important imaging technique in osteoarthritis (OA) research, and is widely used in the ongoing endeavor to understand the pathogenesis of OA and to develop structure and disease-modifying OA drugs. MRI offers semiquantitative, quantitative and compositional evaluation of knee OA, and enables visualization of tissues that are not seen by radiography, including but not limited to cartilage, meniscus, bone marrow lesions, synovitis, and muscles. It is now recognized that contrast-enhanced MRI enables more accurate evaluation of synovitis than MRI without contrast. Because of its ability to visualize multiple pain-related tissue pathology in three dimensions, MRI is the best modality for imaging of OA.
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Roemer FW, Eckstein F, Hayashi D, Guermazi A. The role of imaging in osteoarthritis. Best Pract Res Clin Rheumatol 2014; 28:31-60. [PMID: 24792944 DOI: 10.1016/j.berh.2014.02.002] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Osteoarthritis (OA) is the most prevalent joint disorder with no approved disease-modifying treatment available. The importance of imaging in assessing all joint structures involved in the disease process, including articular cartilage, meniscus, subarticular bone marrow, and synovium for diagnosis, prognostication, and follow-up, has been well recognized. In daily clinical practice, conventional radiography is still the most commonly used imaging technique for the evaluation of a patient with known or suspected OA and radiographic outcome measures are still the only approved end point by regulatory authorities in clinical trials. The ability of magnetic resonance imaging (MRI) to visualize all joint structures in three-dimensional fashion including tissue ultrastructure has markedly deepened our understanding of the natural history of the disease. This article describes the roles and limitations of different imaging modalities for clinical practice and research in OA, with a focus on radiography and MRI and an emphasis on the knee joint.
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Affiliation(s)
- Frank W Roemer
- Department of Radiology, Quantitative Imaging Center (QIC), Boston University School of Medicine, 820 Harrison Avenue, FGH Building, 3rd Floor, Boston, MA 02118, USA; Department of Radiology, University of Erlangen-Nuremberg, Maximiliansplatz 1, 91054 Erlangen, Germany; Department of Radiology, Klinikum Augsburg, Augsburg, Stenglinstr 2, 86156 Augsburg, Germany.
| | - Felix Eckstein
- Institute of Anatomy, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria.
| | - Daichi Hayashi
- Department of Radiology, Quantitative Imaging Center (QIC), Boston University School of Medicine, 820 Harrison Avenue, FGH Building, 3rd Floor, Boston, MA 02118, USA; Department of Radiology, Bridgeport Hospital, Yale University School of Medicine, 267 Grant Street, Bridgeport, CT 06610, USA.
| | - Ali Guermazi
- Department of Radiology, Quantitative Imaging Center (QIC), Boston University School of Medicine, 820 Harrison Avenue, FGH Building, 3rd Floor, Boston, MA 02118, USA.
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Eckstein F, Kwoh CK, Link TM. Imaging research results from the osteoarthritis initiative (OAI): a review and lessons learned 10 years after start of enrolment. Ann Rheum Dis 2014; 73:1289-300. [PMID: 24728332 DOI: 10.1136/annrheumdis-2014-205310] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The Osteoarthritis Initiative (OAI) is a multicentre, prospective, observational, cohort study of knee osteoarthritis (OA) that began recruitment in 2004. The OAI provides public access to clinical and image data, enabling researchers to examine risk factors/predictors and the natural history of knee OA incidence and progression, and the qualification of imaging and other biomarkers. In this narrative review, we report imaging findings and lessons learned 10 years after enrolment has started. A literature search for full text articles published from the OAI was performed up to 31 December 2013 using Pubmed and the OAI web page. We summarise the rationale, design and imaging protocol of the OAI, and the history of OAI publications. We review studies from early partial, and later full OAI public data releases. The latter are structured by imaging method and tissue, reviewing radiography and then MRI findings on cartilage morphology, cartilage lesions and composition (T2), bone, meniscus, muscle and adipose tissue. Finally, analyses directly comparing findings from MRI and radiography are summarised. Ten years after the first participants were enrolled and first papers published, the OAI has become an invaluable resource to the OA research community. It has fuelled novel methodological approaches of analysing images, and has provided a wealth of information on OA pathophysiology. Continued collection and public release of long-term observations will help imaging measures to gain scientific and regulatory acceptance as 'prognostic' or 'efficacy of intervention' biomarkers, potentially enabling shorter and more efficient clinical trials that can test structure-modifying therapeutic interventions (NCT00080171).
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Affiliation(s)
- Felix Eckstein
- Institute of Anatomy, Paracelsus Medical University, Salzburg, Austria Chondrometrics GmbH, Ainring, Germany
| | - C Kent Kwoh
- Division of Rheumatology and University of Arizona Arthritis Center, University of Arizona, Tucson, Arizona, USA
| | - Thomas M Link
- Department of Radiology and Biomedical Imaging, Musculoskeletal and Quantitative Imaging Research, UCSF, San Francisco, California, USA
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Wick MC, Kastlunger M, Weiss RJ. Clinical Imaging Assessments of Knee Osteoarthritis in the Elderly: A Mini-Review. Gerontology 2014; 60:386-94. [DOI: 10.1159/000357756] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2013] [Accepted: 12/05/2013] [Indexed: 11/19/2022] Open
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Pelletier JP, Cooper C, Peterfy C, Reginster JY, Brandi ML, Bruyère O, Chapurlat R, Cicuttini F, Conaghan PG, Doherty M, Genant H, Giacovelli G, Hochberg MC, Hunter DJ, Kanis JA, Kloppenburg M, Laredo JD, McAlindon T, Nevitt M, Raynauld JP, Rizzoli R, Zilkens C, Roemer FW, Martel-Pelletier J, Guermazi A. What is the predictive value of MRI for the occurrence of knee replacement surgery in knee osteoarthritis? Ann Rheum Dis 2013; 72:1594-604. [PMID: 23887285 DOI: 10.1136/annrheumdis-2013-203631] [Citation(s) in RCA: 81] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Knee osteoarthritis is associated with structural changes in the joint. Despite its many drawbacks, radiography is the current standard for evaluating joint structure in trials of potential disease-modifying osteoarthritis drugs. MRI is a non-invasive alternative that provides comprehensive imaging of the whole joint. Frequently used MRI measurements in knee osteoarthritis are cartilage volume and thickness; others include synovitis, synovial fluid effusions, bone marrow lesions (BML) and meniscal damage. Joint replacement is considered a clinically relevant outcome in knee osteoarthritis; however, its utility in clinical trials is limited. An alternative is virtual knee replacement on the basis of symptoms and structural damage. MRI may prove to be a good alternative to radiography in definitions of knee replacement. One of the MRI parameters that predicts knee replacement is medial compartment cartilage volume/thickness, which correlates with radiographic joint space width, is sensitive to change, and predicts outcomes in a continuous manner. Other MRI parameters include BML and meniscal lesions. MRI appears to be a viable alternative to radiography for the evaluation of structural changes in knee osteoarthritis and prediction of joint replacement.
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Affiliation(s)
- J-P Pelletier
- Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), Notre-Dame Hospital, Montreal, Quebec, Canada.
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Abstract
CLINICAL/METHODICAL ISSUE Osteoarthritis is the most common degenerative age-related joint disease leading to typical degradation of articular cartilage with severe pain and limitation of joint motion. STANDARD RADIOLOGICAL METHODS Although knee radiographs are widely considered as the gold standard for the assessment of knee osteoarthritis in clinical and scientific settings they increasingly have significant limitations in situations when resolution and assessment of cartilage is required. METHODICAL INNOVATIONS Analysis of osteoarthritis of the knee with conventional x-ray is associated with many technical limitations and is increasingly being replaced by high-quality assessment using magnetic resonance imaging (MRI) or sonography both in the clinical routine and scientific studies. PERFORMANCE Novel imaging modalities such as MRI or ultrasound enable in vivo visualization of the quality of the cartilaginous structure and bone as well as all articular and periarticular tissue. Therefore, the limitations of radiographs in assessment of knee osteoarthritis could be overcome by these techniques. This review article aims to provide insights into the most important radiological features of knee osteoarthritis and systematic visualization with different imaging approaches. PRACTICAL RECOMMENDATIONS The demographic development in western industrialized countries predicts an increase of ageing-related osteoarthritis of the knee for the next decades. A systematic radiological evaluation of patients with knee osteoarthritis includes the assessment of the periarticular soft tissue, cartilaginous thickness, cartilage volume, possible cartilage defects, the macromodular network of hyaline cartilage, bone marrow edema, menisci and articular ligaments. Modern imaging modalities, such as MRI and sonography allow the limitations of conventional radiography to be overcome and to visualize the knee structures in great detail to quantitatively assess the severity of knee osteoarthritis.
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Osteoarthritis: a review of strengths and weaknesses of different imaging options. Rheum Dis Clin North Am 2013; 39:567-91. [PMID: 23719076 DOI: 10.1016/j.rdc.2013.02.001] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Slowing of radiographic joint space narrowing represents the only recommended imaging-based outcome measure to assess structural disease progression in osteoarthritis (OA) clinical trials. There are no effective disease-modifying OA drugs. The ability of magnetic resonance (MR) to image structures within the knee and to visualize cartilage morphology and composition gives MR imaging a critical role in understanding the natural history of the disease and in the search for therapies. In this article, the roles and limitations of conventional radiography and MR imaging, focusing on knee OA, and the use of other modalities in clinical practice and OA research are described.
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Guermazi A, Hayashi D, Eckstein F, Hunter DJ, Duryea J, Roemer FW. Imaging of Osteoarthritis. Rheum Dis Clin North Am 2013; 39:67-105. [DOI: 10.1016/j.rdc.2012.10.003] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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Guermazi A, Roemer FW, Haugen IK, Crema MD, Hayashi D. MRI-based semiquantitative scoring of joint pathology in osteoarthritis. Nat Rev Rheumatol 2013; 9:236-51. [DOI: 10.1038/nrrheum.2012.223] [Citation(s) in RCA: 101] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Raynauld JP, Wildi LM, Abram F, Moser T, Pelletier JP, Martel-Pelletier J. Reliability and sensitivity to change of IW-TSE versus DESS magnetic resonance imaging sequences in the assessment of bone marrow lesions in knee osteoarthritis patients: Longitudinal data from the Osteoarthritis Initiative (OAI) cohort. ACTA ACUST UNITED AC 2013. [DOI: 10.4236/jbise.2013.63a043] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Eckstein F, Wirth W, Nevitt MC. Recent advances in osteoarthritis imaging--the osteoarthritis initiative. Nat Rev Rheumatol 2012; 8:622-30. [PMID: 22782003 PMCID: PMC6459017 DOI: 10.1038/nrrheum.2012.113] [Citation(s) in RCA: 175] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Osteoarthritis (OA) is the most common joint disorder. The osteoarthritis initiative (OAI) is a multicentre, longitudinal, prospective observational cohort study of knee OA that aims to provide publicly accessible clinical datasets, images and biospecimens, to enable researchers to investigate factors that influence the onset and development of OA, and evaluate biomarkers that predict and track the course of the disease. In this Perspectives, we describe the rationale and design of the OAI and its cohort, discuss imaging protocols and summarize image analyses completed to date. We include descriptive analyses of publicly available longitudinal (2-year) data of changes in cartilage thickness in a core sample of 600 knees from 590 participants in the OAI progression subcohort. Furthermore, we describe published methodological and applied imaging research that has emerged from OAI pilot studies and OAI data releases, and how these studies might contribute to clinical development of biomarkers for assessing the efficacy of intervention trials.
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Affiliation(s)
- Felix Eckstein
- Institute of Anatomy & Musculoskeletal Research, Paracelsus Medical University, Strubergasse 21, A-5020, Salzburg, Austria.
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Xu L, Hayashi D, Roemer FW, Felson DT, Guermazi A. Magnetic resonance imaging of subchondral bone marrow lesions in association with osteoarthritis. Semin Arthritis Rheum 2012; 42:105-18. [PMID: 22542276 DOI: 10.1016/j.semarthrit.2012.03.009] [Citation(s) in RCA: 81] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2012] [Revised: 03/13/2012] [Accepted: 03/18/2012] [Indexed: 01/16/2023]
Abstract
OBJECTIVES This nonsystematic literature review provides an overview of magnetic resonance imaging (MRI) of subchondral bone marrow lesions (BMLs) in association with osteoarthritis (OA), with particular attention to the selection of MRI sequences and semiquantitative scoring systems, characteristic morphology, and differential diagnosis. Histologic basis, natural history, and clinical significance are also briefly discussed. METHODS PubMed was searched for articles published up to 2011, using the keywords bone marrow lesion, osteoarthritis, magnetic resonance imaging, bone marrow edema, histology, pain, and subchondral. RESULTS BMLs in association with OA correspond to fibrosis, necrosis, edema, and bleeding of fatty marrow as well as abnormal trabeculae on histopathology. Lesions may fluctuate in size within a short time and are associated with the progression of articular cartilage loss and fluctuation of pain in knee OA. The characteristic subchondral edema-like signal intensity of BMLs should be assessed using T2-weighted, proton density-weighted, intermediate-weighted fat-suppressed fast spin echo or short tau inversion recovery. Several semiquantitative scoring systems are available to characterize and grade the severity of BMLs. Quantitative approaches have also been introduced. Differential diagnoses of degenerative BMLs include a variety of traumatic or nontraumatic pathologies that may appear similar to OA-related BMLs on MRI. CONCLUSIONS Subchondral BMLs are a common imaging feature of OA with clinical significance and typical signal alteration patterns, which can be assessed and graded by semiquantitative scoring systems using sensitive MRI sequences.
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Affiliation(s)
- Li Xu
- Department of Radiology, Boston University School of Medicine, Boston, MA, USA
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Hayashi D, Roemer FW, Guermazi A. Osteoarthritis year 2011 in review: imaging in OA--a radiologists' perspective. Osteoarthritis Cartilage 2012; 20:207-14. [PMID: 22266236 DOI: 10.1016/j.joca.2011.12.016] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2011] [Revised: 11/23/2011] [Accepted: 12/14/2011] [Indexed: 02/02/2023]
Abstract
With major technological advances and application of magnetic resonance imaging (MRI) to large longitudinal osteoarthritis (OA) studies the role of imaging has become increasingly important for OA research over the last years. Currently, radiography, MRI and ultrasound are the most established imaging tools applied in a research setting. MRI assessment of OA features can be morphologic, compositional and can be applied in non-loaded and loaded conditions. Morphologic assessment includes semiquantitative and quantitative analyses. Novel semiquantitative scoring methods for knee, hip and hand OA using MRI were introduced. A series of key reports were published this year, reviewing the importance of radiography and MRI as a research tool. Although radiography is insensitive for the detection of OA-related structural pathology when compared to MRI, it still has been widely used for subject inclusion in observational and interventional studies due also to a straight forward disease definition that was established more than 50 years ago. In an attempt to generate an MRI-based definition of structural disease, a Delphi exercise was performed to develop a testable MRI definition of structural OA. This presentation reviews publications related to imaging of OA, published in English between September 2010 and October 2011, excluding animal studies or in vitro data. This is not a systematic or comprehensive review and the selection of papers included is based on the expert opinions of the presenter, from a musculoskeletal radiologist's perspective.
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Affiliation(s)
- D Hayashi
- Department of Radiology, Boston University School of Medicine, Boston, MA 02118, USA
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