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van der Voet JA, Schiphof D, Vroegindeweij D, Oei EH, Bierma-Zeinstra SMA, Runhaar J. Association between baseline meniscal extrusion and long-term incident knee osteoarthritis in two different cohorts. Semin Arthritis Rheum 2023; 59:152170. [PMID: 36753837 DOI: 10.1016/j.semarthrit.2023.152170] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 01/20/2023] [Accepted: 01/24/2023] [Indexed: 01/30/2023]
Abstract
OBJECTIVE Previously, we identified a significant association between meniscal extrusion and short-term incident knee osteoarthritis (KOA). To validate these findings, we evaluated long-term incident KOA in knees with meniscus extrusion, using two different cohorts. METHODS We used data from the PROOF study, which evaluated a high-risk population of overweight women, and a female subcohort of the population-based Rotterdam Study (RS). Meniscal extrusion was defined as ≥ 3 mm on MRI. Outcomes were incident radiographic (KL ≥ 2) or clinical KOA according to the ACR criteria, assessed at 6.6 years (PROOF) and 5.1 years (RS). With generalized estimating equations, we determined the association of knees with and without baseline meniscal extrusion and incident KOA, adjusting for confounders. Furthermore, we computed the population attributable risk percentage (PAR%) of meniscal extrusion. RESULTS PROOF: of 421 available knees 23% had baseline meniscal extrusion. Incident radiographic KOA was significantly higher in knees with meniscal extrusion compared to those without (adjusted OR 2.54, 95% CI 1.34, 4.80; p = 0.004; PAR 21%). Incident clinical KOA was also significantly higher (adjusted OR 2.44, 95% CI 1.29, 4.60; p = 0.006; PAR 19%). RS: 46% of 872 available knees had meniscal extrusion. Incident radiographic KOA was significantly higher (adjusted OR 9.86, 95% CI 2.13, 45.67; p = 0.002; PAR 77%). Incident clinical KOA was borderline significantly higher (adjusted OR 2.65, 95% CI 0.96, 7.30; p = 0.06; PAR 44%). CONCLUSION Meniscal extrusion is significantly associated with long-term incident KOA. A high number of incident cases were attributable to extrusion.
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Affiliation(s)
- Jan A van der Voet
- Dept. of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Dept. of Radiology, Alrijne Hospital, Leiderdorp, the Netherlands.
| | - Dieuwke Schiphof
- Dept. of General Practice, Erasmus MC University Medical Center Rotterdam, the Netherlands
| | | | - Edwin H Oei
- Dept. of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Sita M A Bierma-Zeinstra
- Dept. of General Practice, Erasmus MC University Medical Center Rotterdam, the Netherlands; Dept. of Orthopedics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Jos Runhaar
- Dept. of General Practice, Erasmus MC University Medical Center Rotterdam, the Netherlands
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Eijkenboom JFA, Tümer N, Schiphof D, Oei EH, Zadpoor AA, Bierma-Zeinstra SMA, van Middelkoop M. 3D patellar shape is associated with radiological and clinical signs of patellofemoral osteoarthritis. Osteoarthritis Cartilage 2023; 31:534-542. [PMID: 36623637 DOI: 10.1016/j.joca.2022.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 11/25/2022] [Accepted: 12/20/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVE To examine the association between 3D patellar shape and 1) isolated magnetic resonance imaging (MRI)-based patellofemoral osteoarthritis (PFOA), 2) the morphological features of PFOA, and 3) the clinical symptoms of PFOA. DESIGN MRI data from 66 women with isolated MRI-based PFOA and 66 age- and BMI-matched healthy women were selected from a cohort study. The patellae were manually segmented from MRI scans and used to create a 3D statistical shape model (SSM) of the patella. Structural abnormalities were semi-standardized scored on MRI using MRI osteoarthritis knee score (MOAKS). Regression analyses were applied to determine the associations between the shape parameters retrieved from the SSM, group status, clinical symptoms, and structural abnormalities. RESULTS Four shape variants showed a statistically significant (<0.05) association with the group status. The mode responsible for most of the shape variations showed participants with PFOA possess a relatively thicker dorsal bump on the articular part of the patella, compared to patellae of control participants. Three of these variants showed an association with the presence of osteophytes and cartilage loss on the patella. Multiple associations were found between patellar shape and the clinical symptoms of PFOA. CONCLUSIONS Patellar shape is associated with the prevalence of MRI-based PFOA in women. Some shape variants were also associated with clinical symptoms. Interestingly, one particular shape variant associated with the presence of MRI-based PFOA was earlier shown to be associated with structural abnormalities associated with OA in a population aged under 40. This may suggest that patellar shape may be an early detectable risk factor for PFOA.
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Affiliation(s)
- J F A Eijkenboom
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, the Netherlands.
| | - N Tümer
- Department of Biomechanical Engineering, Delft University of Technology, the Netherlands.
| | - D Schiphof
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, the Netherlands.
| | - E H Oei
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, the Netherlands.
| | - A A Zadpoor
- Department of Biomechanical Engineering, Delft University of Technology, the Netherlands.
| | - S M A Bierma-Zeinstra
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, the Netherlands; Department of Orthopedics and Sports Medicine, Erasmus MC University Medical Center Rotterdam, the Netherlands.
| | - M van Middelkoop
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, the Netherlands.
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De Oliveira Silva D, Johnston RTR, Mentiplay BF, Haberfield MJ, Culvenor AG, Bruder AM, Semciw AI, Girdwood M, Pappalardo PJ, Briggs C, West TJ, Hill JP, Patterson BE, Barton CJ, Sritharan P, Alexander JL, Carey DL, Schache AG, Souza RB, Pedoia V, Oei EH, Warden SJ, Telles GF, King MG, Hedger MP, Hulett M, Crossley KM. Trajectory of knee health in runners with and without heightened osteoarthritis risk: the TRAIL prospective cohort study protocol. BMJ Open 2023; 13:e068040. [PMID: 36759025 PMCID: PMC9923264 DOI: 10.1136/bmjopen-2022-068040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/11/2023] Open
Abstract
INTRODUCTION Running is one of the most popular recreational activities worldwide, due to its low cost and accessibility. However, little is known about the impact of running on knee joint health in runners with and without a history of knee surgery. The primary aim of this longitudinal cohort study is to compare knee joint structural features on MRI and knee symptoms at baseline and 4-year follow-up in runners with and without a history of knee surgery. Secondary aims are to explore the relationships between training load exposures (volume and/or intensity) and changes in knee joint structure and symptoms over 4 years; explore the relationship between baseline running biomechanics, and changes in knee joint structure and symptoms over 4 years. In addition, we will explore whether additional variables confound, modify or mediate these associations, including sex, baseline lower-limb functional performance, knee muscle strength, psychological and sociodemographic factors. METHODS AND ANALYSIS A convenience sample of at least 200 runners (sex/gender balanced) with (n=100) and without (n=100) a history of knee surgery will be recruited. Primary outcomes will be knee joint health (MRI) and knee symptoms (baseline; 4 years). Exposure variables for secondary outcomes include training load exposure, obtained daily throughout the study from wearable devices and three-dimensional running biomechanics (baseline). Additional variables include lower limb functional performance, knee extensor and flexor muscle strength, biomarkers, psychological and sociodemographic factors (baseline). Knowledge and beliefs about osteoarthritis will be obtained through predefined questions and semi-structured interviews with a subset of participants. Multivariable logistic and linear regression models, adjusting for potential confounding factors, will explore changes in knee joint structural features and symptoms, and the influence of potential modifiers and mediators. ETHICS AND DISSEMINATION Approved by the La Trobe University Ethics Committee (HEC-19524). Findings will be disseminated to stakeholders, peer-review journals and conferences.
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Affiliation(s)
- Danilo De Oliveira Silva
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Richard T R Johnston
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Benjamin F Mentiplay
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Melissa J Haberfield
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Adam G Culvenor
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Andrea M Bruder
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Adam I Semciw
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Michael Girdwood
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Paula J Pappalardo
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Connie Briggs
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Thomas J West
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Joshua P Hill
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Brooke E Patterson
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Christian J Barton
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
- Department of Physiotherapy, Podiatry and Prosthetics and Orthotics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
| | - Prasanna Sritharan
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - James L Alexander
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - David L Carey
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Anthony G Schache
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Richard B Souza
- Department of Radiology and Biomedical Imagining, University of California San Francisco, San Francisco, California, USA
| | - Valentina Pedoia
- Department of Radiology and Biomedical Imagining, University of California San Francisco, San Francisco, California, USA
| | - Edwin H Oei
- Department of Radiology & Nuclear Medicine, Erasmus Universiteit Rotterdam, Rotterdam, The Netherlands
| | - Stuart J Warden
- Department of Physical Therapy, Indiana University, Indianapolis, Indiana, USA
| | - Gustavo F Telles
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Rehabilitation Science Postgraduation Program, Augusto Motta University Centre, Rio de Janeiro, Brazil
| | - Matthew G King
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Michael P Hedger
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
| | - Mark Hulett
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Victoria, Australia
| | - Kay M Crossley
- La Trobe Sport and Exercise Medicine Research Centre (LASEM), School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Australian International Olympic Committee (IOC) Research Centre, Melbourne, Victoria, Australia
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deSouza NM, van der Lugt A, Deroose CM, Alberich-Bayarri A, Bidaut L, Fournier L, Costaridou L, Oprea-Lager DE, Kotter E, Smits M, Mayerhoefer ME, Boellaard R, Caroli A, de Geus-Oei LF, Kunz WG, Oei EH, Lecouvet F, Franca M, Loewe C, Lopci E, Caramella C, Persson A, Golay X, Dewey M, O'Connor JPB, deGraaf P, Gatidis S, Zahlmann G. Standardised lesion segmentation for imaging biomarker quantitation: a consensus recommendation from ESR and EORTC. Insights Imaging 2022; 13:159. [PMID: 36194301 PMCID: PMC9532485 DOI: 10.1186/s13244-022-01287-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 08/01/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Lesion/tissue segmentation on digital medical images enables biomarker extraction, image-guided therapy delivery, treatment response measurement, and training/validation for developing artificial intelligence algorithms and workflows. To ensure data reproducibility, criteria for standardised segmentation are critical but currently unavailable. METHODS A modified Delphi process initiated by the European Imaging Biomarker Alliance (EIBALL) of the European Society of Radiology (ESR) and the European Organisation for Research and Treatment of Cancer (EORTC) Imaging Group was undertaken. Three multidisciplinary task forces addressed modality and image acquisition, segmentation methodology itself, and standards and logistics. Devised survey questions were fed via a facilitator to expert participants. The 58 respondents to Round 1 were invited to participate in Rounds 2-4. Subsequent rounds were informed by responses of previous rounds. RESULTS/CONCLUSIONS Items with ≥ 75% consensus are considered a recommendation. These include system performance certification, thresholds for image signal-to-noise, contrast-to-noise and tumour-to-background ratios, spatial resolution, and artefact levels. Direct, iterative, and machine or deep learning reconstruction methods, use of a mixture of CE marked and verified research tools were agreed and use of specified reference standards and validation processes considered essential. Operator training and refreshment were considered mandatory for clinical trials and clinical research. Items with a 60-74% agreement require reporting (site-specific accreditation for clinical research, minimal pixel number within lesion segmented, use of post-reconstruction algorithms, operator training refreshment for clinical practice). Items with ≤ 60% agreement are outside current recommendations for segmentation (frequency of system performance tests, use of only CE-marked tools, board certification of operators, frequency of operator refresher training). Recommendations by anatomical area are also specified.
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Affiliation(s)
- Nandita M deSouza
- Division of Radiotherapy and Imaging, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK.
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Christophe M Deroose
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium.,Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | | | - Luc Bidaut
- College of Science, University of Lincoln, Lincoln, Lincoln, LN6 7TS, UK
| | - Laure Fournier
- INSERM, Radiology Department, AP-HP, Hopital Europeen Georges Pompidou, Université de Paris, PARCC, 75015, Paris, France
| | - Lena Costaridou
- School of Medicine, University of Patras, University Campus, Rio, 26 500, Patras, Greece
| | - Daniela E Oprea-Lager
- Department of Radiology and Nuclear Medicine, Amsterdam, UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Elmar Kotter
- Department of Radiology, University Medical Center Freiburg, Freiburg, Germany
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Marius E Mayerhoefer
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.,Memorial Sloan Kettering Cancer Centre, New York, NY, USA
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam, UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Anna Caroli
- Department of Biomedical Engineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Lioe-Fee de Geus-Oei
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.,Biomedical Photonic Imaging Group, University of Twente, Enschede, The Netherlands
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Edwin H Oei
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Frederic Lecouvet
- Department of Radiology, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint Luc, Université Catholique de Louvain (UCLouvain), 10 Avenue Hippocrate, 1200, Brussels, Belgium
| | - Manuela Franca
- Department of Radiology, Centro Hospitalar Universitário do Porto, Instituto de Ciências Biomédicas de Abel Salazar, University of Porto, Porto, Portugal
| | - Christian Loewe
- Division of Cardiovascular and Interventional Radiology, Department for Bioimaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Egesta Lopci
- Nuclear Medicine, IRCCS - Humanitas Research Hospital, via Manzoni 56, Rozzano, MI, Italy
| | - Caroline Caramella
- Radiology Department, Hôpital Marie Lannelongue, Institut d'Oncologie Thoracique, Université Paris-Saclay, Le Plessis-Robinson, France
| | - Anders Persson
- Department of Radiology, and Department of Health, Medicine and Caring Sciences, Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Xavier Golay
- Queen Square Institute of Neurology, University College London, London, UK
| | - Marc Dewey
- Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - James P B O'Connor
- Division of Radiotherapy and Imaging, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
| | - Pim deGraaf
- Department of Radiology and Nuclear Medicine, Amsterdam, UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sergios Gatidis
- Department of Radiology, University of Tubingen, Tübingen, Germany
| | - Gudrun Zahlmann
- Radiological Society of North America (RSNA), Oak Brook, IL, USA
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de Luca K, Chiarotto A, Cicuttini F, Creemers L, de Schepper E, Ferreira PH, Foster NE, Hartvigsen J, Kawchuk G, Little CB, Oei EH, Suri P, Vleggeert-Lankamp C, Bierma-Zeinstra SMA, Ferreira ML. Consensus for Statements Regarding a Definition for Spinal Osteoarthritis for Use in Research and Clinical Practice: A Delphi Study. Arthritis Care Res (Hoboken) 2021; 75:1095-1103. [PMID: 34874115 DOI: 10.1002/acr.24829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 10/20/2021] [Accepted: 11/30/2021] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To determine consensus among an international, multidisciplinary group of experts regarding definitions of spinal osteoarthritis for research and for clinical practice. METHODS A 15-member, multidisciplinary steering committee generated 117 statements for a 3-round Delphi study. Experts in back pain and/or osteoarthritis were identified and invited to participate. In round 1, participants could propose additional statements for voting. All statements were rated on a 1-9 Likert scale, and consensus was set at ≥70% of respondents agreeing or disagreeing with the statement and <15% of respondents providing the opposite response. RESULTS In total, 255 experts from 11 different professional backgrounds were invited. From 173 available experts, 116 consented to participate. In round 1, 103 participants completed the survey, followed by 85 of 111 participants in round 2 (77%) and 87 of 101 participants in round 3 (86%). One-third of participants were from Europe (30%), most were male (58%), one-fifth were physical therapists (21%), and over one-third had been in their profession for 11-20 years (35%). Of 131 statements, consensus was achieved for 71 statements (54%): 53 in agreement (75%) and 18 in disagreement (25%). CONCLUSION Although there was consensus for statements for definitions of spinal osteoarthritis that were analogous to definitions of osteoarthritis in appendicular joints, a future definition still needs refinement. Importantly, this Delphi highlighted that a future definition should be considered across a spectrum of structural changes and patient symptoms and expressed on a progressive scale.
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Affiliation(s)
- Katie de Luca
- CQ University, Brisbane, Queensland, Australia, and Macquarie University, Sydney, New South Wales, Australia
| | | | - Flavia Cicuttini
- Public Health and Preventive Medicine, Monash University Melbourne, Victoria, Australia
| | - Laura Creemers
- University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Paulo H Ferreira
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Nadine E Foster
- STARS Education and Research Alliance, The University of Queensland and Metro North Hospital and Health Service, Brisbane, Queensland, Australia, and Primary Care Versus Arthritis Centre, School of Medicine, Keele University, Staffordshire, UK
| | - Jan Hartvigsen
- University of Southern Denmark, Odense, Denmark, and Chiropractic Knowledge Hub, Odense, Denmark
| | - Gregory Kawchuk
- Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Christopher B Little
- Raymond Purves Bone and Joint Research Labs, University of Sydney, Kolling Institute, Institute of Bone and Joint Research, St. Leonards, New South Wales, Australia
| | - Edwin H Oei
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Pradeep Suri
- Clinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, Seattle, Seattle Epidemiologic Research and Information Center (ERIC) and Rehabilitation Care Services and Veterans Affairs Puget Sound Health Care System, Seattle, Washington
| | - Carmen Vleggeert-Lankamp
- Leiden University Medical Centre and the Hague Medical Centre, Leiden-Den Haag, Spaarne Gasthuis, Haarlem/Hoofddorp, The Netherlands
| | | | - Manuela L Ferreira
- Institute of Bone and Joint Research, The Kolling Institute, Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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van der Voet JA, Wesselius D, Zhang F, Vroegindeweij D, Oei EH, Bierma-Zeinstra SMA, Englund M, Runhaar J. Factors associated with longitudinal change of meniscal extrusion in overweight women without clinical signs of osteoarthritis. Rheumatology (Oxford) 2021; 60:5175-5184. [PMID: 33693533 DOI: 10.1093/rheumatology/keab228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 02/17/2021] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES To identify variables associated with longitudinal change in meniscal extrusion, which might be used as possible targets for knee osteoarthritis (KOA) prevention. METHODS In a high-risk population of middle-aged overweight women, meniscal extrusion was assessed with magnetic resonance imaging (1.5 T, coronal proton density, in-plane resolution 0.5 mm2, Sante DICOM Editor) at baseline and after 30 months. Outcomes were the absolute change in medial and lateral extrusion (mm) and relative change in extrusion (%). Based upon literature, 11 factors were hypothesized to be associated with longitudinal change. Generalized estimating equations were used to model the effect on meniscal change (P <0.05). RESULTS In total, 677 knees of 343 women were available for analysis, with a mean age of 55.7 years (+/-3.2) and a mean BMI of 32.3 kg/m2 (+/-4.2). The greatest change in meniscal extrusion appeared medially with incident meniscal tear (4.4%; absolute 0.9 mm (95% CI: 0.3, 1.5; P =0.004); relative 14.5% (4.4, 24.7; 0.005)). Varus malalignment was associated with an increase of medial extrusion of 0.6 mm (37.6%; 0.1, 1.0; 0.009). A 5 kg/m2 higher baseline BMI was associated with absolute and relative increase of medial extrusion of 0.2 mm and 2.96% (0.1, 0.3; <0.001 and 1.3, 4.8; 0.002). Less explicit but significant changes in extrusion appeared with longitudinal change in BMI. CONCLUSION Meniscal tears, varus malalignment and BMI were significantly associated with change in meniscal extrusion in middle-aged overweight women, providing viable therapeutic targets to prevent or reduce extrusion and thereby decelerate KOA development.
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Affiliation(s)
- Jan A van der Voet
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam.,Department of Radiology, Alrijne Hospital, Leiderdorp
| | - Daan Wesselius
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Fan Zhang
- Department of Clinical Sciences Lund, Orthopedics, Clinical Epidemiology Unit, Lund University, Lund, Sweden
| | | | - Edwin H Oei
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam
| | - Sita M A Bierma-Zeinstra
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Orthopedics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Martin Englund
- Department of Clinical Sciences Lund, Orthopedics, Clinical Epidemiology Unit, Lund University, Lund, Sweden
| | - Jos Runhaar
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
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7
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Chalian M, Li X, Guermazi A, Obuchowski NA, Carrino JA, Oei EH, Link TM. The QIBA Profile for MRI-based Compositional Imaging of Knee Cartilage. Radiology 2021; 301:423-432. [PMID: 34491127 PMCID: PMC8574057 DOI: 10.1148/radiol.2021204587] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 06/18/2021] [Accepted: 07/07/2021] [Indexed: 12/16/2022]
Abstract
MRI-based cartilage compositional analysis shows biochemical and microstructural changes at early stages of osteoarthritis before changes become visible with structural MRI sequences and arthroscopy. This could help with early diagnosis, risk assessment, and treatment monitoring of osteoarthritis. Spin-lattice relaxation time constant in rotating frame (T1ρ) and T2 mapping are the MRI techniques best established for assessing cartilage composition. Only T2 mapping is currently commercially available, which is sensitive to water, collagen content, and orientation of collagen fibers, whereas T1ρ is more sensitive to proteoglycan content. Clinical application of cartilage compositional imaging is limited by high variability and suboptimal reproducibility of the biomarkers, which was the motivation for creating the Quantitative Imaging Biomarkers Alliance (QIBA) Profile for cartilage compositional imaging by the Musculoskeletal Biomarkers Committee of the QIBA. The profile aims at providing recommendations to improve reproducibility and to standardize cartilage compositional imaging. The QIBA Profile provides two complementary claims (summary statements of the technical performance of the quantitative imaging biomarkers that are being profiled) regarding the reproducibility of biomarkers. First, cartilage T1ρ and T2 values are measurable at 3.0-T MRI with a within-subject coefficient of variation of 4%-5%. Second, a measured increase or decrease in T1ρ and T2 of 14% or more indicates a minimum detectable change with 95% confidence. If only an increase in T1ρ and T2 values is expected (progressive cartilage degeneration), then an increase of 12% represents a minimum detectable change over time. The QIBA Profile provides recommendations for clinical researchers, clinicians, and industry scientists pertaining to image data acquisition, analysis, and interpretation and assessment procedures for T1ρ and T2 cartilage imaging and test-retest conformance. This special report aims to provide the rationale for the proposed claims, explain the content of the QIBA Profile, and highlight the future needs and developments for MRI-based cartilage compositional imaging for risk prediction, early diagnosis, and treatment monitoring of osteoarthritis.
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Affiliation(s)
- Majid Chalian
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - Xiaojuan Li
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - Ali Guermazi
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - Nancy A. Obuchowski
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - John A. Carrino
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - Edwin H. Oei
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - Thomas M. Link
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
| | - for the RSNA QIBA MSK Biomarker Committee
- From the Department of Radiology, Division of Musculoskeletal Imaging
and Intervention, University of Washington, UW Radiology–Roosevelt
Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (M.C.); Department
of Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI)
(X.L.), and Department of Biostatistics (N.A.O.), Cleveland Clinic, Cleveland,
Ohio; Department of Radiology, Boston University School of Medicine, Boston,
Mass (A.G.); Department of Radiology and Imaging, Hospital for Special Surgery,
New York, NY (J.A.C.); Department of Radiology & Nuclear Medicine,
Erasmus MC University Medical Center, Rotterdam, the Netherlands (E.H.O.);
European Imaging Biomarkers Alliance (E.H.O.); and Department of Radiology and
Biomedical Imaging, University of California, San Francisco, Calif
(T.M.L.)
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8
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Boon J, Ploem T, Simpson CS, Hermann I, Akcakaya M, Oei EH, Zadpoor AA, Tumer N, Piscaer TM, Tourais J, Weingartner S. Magnetic Resonance Imaging compatible Elastic Loading Mechanism (MELM): A minimal footprint device for MR imaging under load. Annu Int Conf IEEE Eng Med Biol Soc 2021; 2021:3721-3724. [PMID: 34892045 DOI: 10.1109/embc46164.2021.9630397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Quantitative Magnetic Resonance Imaging (MRI) can enable early diagnosis of knee cartilage damage if imaging is performed during the application of load. Mechanical loading via ropes, pulleys and suspended weights can be obstructive and require adaptations to the patient table. In this paper, a new lightweight MRI-compatible elastic loading mechanism is introduced. The new device showed sufficient linearity (|α/β| = 0.42 ± 0.25), reproducibility (CoV = 5 ± 2%), and stability (CoV = 0.5 ± 0.1%). In vivo and ex vivo scans confirmed the ability of the device to exert sufficient force to study the knee cartilage under loading conditions, inducing up to a 29% decrease in $T_2^{\ast}$ of the central medial cartilage. With this device mechanical loading can become more accessible for researchers and clinicians, thus facilitating the translational use of MRI biomarkers for the detection of cartilage deterioration.
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9
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Fournier L, Costaridou L, Bidaut L, Michoux N, Lecouvet FE, de Geus-Oei LF, Boellaard R, Oprea-Lager DE, Obuchowski NA, Caroli A, Kunz WG, Oei EH, O'Connor JPB, Mayerhoefer ME, Franca M, Alberich-Bayarri A, Deroose CM, Loewe C, Manniesing R, Caramella C, Lopci E, Lassau N, Persson A, Achten R, Rosendahl K, Clement O, Kotter E, Golay X, Smits M, Dewey M, Sullivan DC, van der Lugt A, deSouza NM, European Society Of Radiology. Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers. Eur Radiol 2021; 31:6001-6012. [PMID: 33492473 PMCID: PMC8270834 DOI: 10.1007/s00330-020-07598-8] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 11/16/2020] [Accepted: 12/03/2020] [Indexed: 02/07/2023]
Abstract
Existing quantitative imaging biomarkers (QIBs) are associated with known biological tissue characteristics and follow a well-understood path of technical, biological and clinical validation before incorporation into clinical trials. In radiomics, novel data-driven processes extract numerous visually imperceptible statistical features from the imaging data with no a priori assumptions on their correlation with biological processes. The selection of relevant features (radiomic signature) and incorporation into clinical trials therefore requires additional considerations to ensure meaningful imaging endpoints. Also, the number of radiomic features tested means that power calculations would result in sample sizes impossible to achieve within clinical trials. This article examines how the process of standardising and validating data-driven imaging biomarkers differs from those based on biological associations. Radiomic signatures are best developed initially on datasets that represent diversity of acquisition protocols as well as diversity of disease and of normal findings, rather than within clinical trials with standardised and optimised protocols as this would risk the selection of radiomic features being linked to the imaging process rather than the pathology. Normalisation through discretisation and feature harmonisation are essential pre-processing steps. Biological correlation may be performed after the technical and clinical validity of a radiomic signature is established, but is not mandatory. Feature selection may be part of discovery within a radiomics-specific trial or represent exploratory endpoints within an established trial; a previously validated radiomic signature may even be used as a primary/secondary endpoint, particularly if associations are demonstrated with specific biological processes and pathways being targeted within clinical trials. KEY POINTS: • Data-driven processes like radiomics risk false discoveries due to high-dimensionality of the dataset compared to sample size, making adequate diversity of the data, cross-validation and external validation essential to mitigate the risks of spurious associations and overfitting. • Use of radiomic signatures within clinical trials requires multistep standardisation of image acquisition, image analysis and data mining processes. • Biological correlation may be established after clinical validation but is not mandatory.
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Affiliation(s)
- Laure Fournier
- PARCC, INSERM, Radiology Department, AP-HP, Hopital europeen Georges Pompidou, Université de Paris, F-75015, Paris, France
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
| | - Lena Costaridou
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- School of Medicine, University of Patras, University Campus, Rio, 26 500, Patras, Greece
| | - Luc Bidaut
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- College of Science, University of Lincoln, Lincoln, LN6 7TS, UK
| | - Nicolas Michoux
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Department of Radiology, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint Luc, Université Catholique de Louvain (UCLouvain), B-1200, Brussels, Belgium
| | - Frederic E Lecouvet
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Department of Radiology, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint Luc, Université Catholique de Louvain (UCLouvain), B-1200, Brussels, Belgium
| | - Lioe-Fee de Geus-Oei
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Biomedical Photonic Imaging Group, University of Twente, Enschede, The Netherlands
| | - Ronald Boellaard
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Radiology & Nuclear Medicine, Cancer Centre Amsterdam, Amsterdam University Medical Centers (VU University), Amsterdam, The Netherlands
- Quantitative Imaging Biomarkers Alliance, Radiological Society of North America, Oak Brook, IL, USA
| | - Daniela E Oprea-Lager
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Department of Radiology & Nuclear Medicine, Cancer Centre Amsterdam, Amsterdam University Medical Centers (VU University), Amsterdam, The Netherlands
| | - Nancy A Obuchowski
- Quantitative Imaging Biomarkers Alliance, Radiological Society of North America, Oak Brook, IL, USA
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Anna Caroli
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Biomedical Engineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Wolfgang G Kunz
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Edwin H Oei
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - James P B O'Connor
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Marius E Mayerhoefer
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Manuela Franca
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Radiology, Centro Hospitalar Universitário do Porto, Instituto de Ciências Biomédicas de Abel Salazar, University of Porto, Porto, Portugal
| | - Angel Alberich-Bayarri
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Quantitative Imaging Biomarkers in Medicine (QUIBIM), Valencia, Spain
| | - Christophe M Deroose
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Christian Loewe
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Division of Cardiovascular and Interventional Radiology, Dept. for Bioimaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Rashindra Manniesing
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands
| | - Caroline Caramella
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Radiology Department, Hôpital Marie Lannelongue, Institut d'Oncologie Thoracique, Université Paris-Saclay, Le Plessis-Robinson, France
| | - Egesta Lopci
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Nuclear Medicine, Humanitas Clinical and Research Hospital - IRCCS, Rozzano, MI, Italy
| | - Nathalie Lassau
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Quantitative Imaging Biomarkers Alliance, Radiological Society of North America, Oak Brook, IL, USA
- Imaging Department, Gustave Roussy Cancer Campus Grand, Paris, UMR 1281, INSERM, CNRS, CEA, Universite Paris-Saclay, Saint-Aubin, France
| | - Anders Persson
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Radiology, and Department of Health, Medicine and Caring Sciences, Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Rik Achten
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Radiology and Medical Imaging, Ghent University Hospital, Gent, Belgium
| | - Karen Rosendahl
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Radiology, University Hospital of North Norway, Tromsø, Norway
| | - Olivier Clement
- PARCC, INSERM, Radiology Department, AP-HP, Hopital europeen Georges Pompidou, Université de Paris, F-75015, Paris, France
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
| | - Elmar Kotter
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Radiology, University Medical Center Freiburg, Freiburg, Germany
| | - Xavier Golay
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Quantitative Imaging Biomarkers Alliance, Radiological Society of North America, Oak Brook, IL, USA
- Queen Square Institute of Neurology, University College London, London, UK
| | - Marion Smits
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Marc Dewey
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Daniel C Sullivan
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Quantitative Imaging Biomarkers Alliance, Radiological Society of North America, Oak Brook, IL, USA
- Dept. of Radiology, Duke University, 311 Research Dr, Durham, NC, 27710, USA
| | - Aad van der Lugt
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Nandita M deSouza
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria.
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium.
- Quantitative Imaging Biomarkers Alliance, Radiological Society of North America, Oak Brook, IL, USA.
- Division of Radiotherapy and Imaging, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK.
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Eijkenboom JFA, van der Heijden RA, de Kanter JLM, Oei EH, Bierma-Zeinstra SMA, van Middelkoop M. Patellofemoral alignment and geometry and early signs of osteoarthritis are associated in patellofemoral pain population. Scand J Med Sci Sports 2020; 30:885-893. [PMID: 32096249 PMCID: PMC7187437 DOI: 10.1111/sms.13641] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 02/03/2020] [Accepted: 02/06/2020] [Indexed: 12/20/2022]
Abstract
Background Patellofemoral pain (PFP) patients show increased prevalence of patellar malalignment. Structural and alignment abnormalities of the patellofemoral joint (PFJ) may play a role in development of PFP and patellofemoral osteoarthritis (PFOA). Objectives Evaluating associations of patellofemoral alignment and femoral geometry with bony and cartilaginous abnormalities in PFP patients and healthy control subjects. Methods Data from a case‐control study were used (64 PFP subjects, 70 control subjects, 57% female, age 23.2 (6.4)). Alignment and femoral geometry measures in the PFJ were determined using MRI. Structural abnormalities in the PFJ associated with OA (bone marrow lesions, osteophytes, minor cartilage defects and Hoffa‐synovitis), quantified cartilage composition (T1ρ relaxation times) in the PFJ and perfusion within the patellar bone were examined using different MRI techniques. Associations were analyzed using regression analyses, adjusted for potential confounders. Results Lateral patellar tilt was negatively associated with presence of osteophytes on both patella (OR 0.91; 95% CI 0.84 to 0.98), anterior femur (OR 0.92; 95% CI 0.84 to 0.99) and minor cartilage defects on patella (OR 0.91; 95% CI 0.84 to 0.99). Patella alta was positively associated with the presence of bone marrow lesions in the patella and minor cartilage defects (OR 48.33; 95% CI 4.27 to 547.30 and OR 17.51; 95% CI 1.17 to 262.57, respectively). Patella alta and medial patellar translation were positively associated with T1ρ relaxation times within trochlear cartilage (β 5.2; 95% CI 0.77 to 9.58, and 0.36; 95% CI 0.08 to 0.64, respectively). None of the alignment and geometry measures were associated with bone perfusion. Conclusion Our study implies that associations between patellofemoral alignment and geometry and structural joint abnormalities linked to OA are already present in both PFP patients and healthy control subjects.
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Affiliation(s)
- Joost F A Eijkenboom
- Department of General Practice, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Rianne A van der Heijden
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Janneke L M de Kanter
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Edwin H Oei
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Sita M A Bierma-Zeinstra
- Department of General Practice, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Marienke van Middelkoop
- Department of General Practice, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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11
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Koromani F, Oei L, Shevroja E, Trajanoska K, Schoufour J, Muka T, Franco OH, Ikram MA, Zillikens MC, Uitterlinden AG, Krestin GP, Anastassiades T, Josse R, Kaiser SM, Goltzman D, Lentle BC, Prior JC, Leslie WD, McCloskey E, Lamy O, Hans D, Oei EH, Rivadeneira F. Vertebral Fractures in Individuals With Type 2 Diabetes: More Than Skeletal Complications Alone. Diabetes Care 2020; 43:137-144. [PMID: 31658976 PMCID: PMC7411280 DOI: 10.2337/dc19-0925] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 10/07/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We aimed to assess whether individuals with type 2 diabetes (T2D) have increased risk of vertebral fractures (VFs) and to estimate nonvertebral fracture and mortality risk among individuals with both prevalent T2D and VFs. RESEARCH DESIGN AND METHODS A systematic PubMed search was performed to identify studies that investigated the relationship between T2D and VFs. Cohorts providing individual participant data (IPD) were also included. Estimates from published summary data and IPD cohorts were pooled in a random-effects meta-analysis. Multivariate Cox regression models were used to estimate nonvertebral fracture and mortality risk among individuals with T2D and VFs. RESULTS Across 15 studies comprising 852,705 men and women, individuals with T2D had lower risk of prevalent (odds ratio [OR] 0.84 [95% CI 0.74-0.95]; I 2 = 0.0%; P het = 0.54) but increased risk of incident VFs (OR 1.35 [95% CI 1.27-1.44]; I 2 = 0.6%; P het = 0.43). In the IPD cohorts (N = 19,820), risk of nonvertebral fractures was higher in those with both T2D and VFs compared with those without T2D or VFs (hazard ratio [HR] 2.42 [95% CI 1.86-3.15]) or with VFs (HR 1.73 [95% CI 1.32-2.27]) or T2D (HR 1.94 [95% CI 1.46-2.59]) alone. Individuals with both T2D and VFs had increased mortality compared with individuals without T2D and VFs (HR 2.11 [95% CI 1.72-2.59]) or with VFs alone (HR 1.84 [95% CI 1.49-2.28]) and borderline increased compared with individuals with T2D alone (HR 1.23 [95% CI 0.99-1.52]). CONCLUSIONS Based on our findings, individuals with T2D should be systematically assessed for presence of VFs, and, as in individuals without T2D, their presence constitutes an indication to start osteoporosis treatment for the prevention of future fractures.
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Affiliation(s)
- Fjorda Koromani
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ling Oei
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Enisa Shevroja
- Bone and Joint Department, Center of Bone Diseases, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Josje Schoufour
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Taulant Muka
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Insitute of Social and Preventive Medicine, Bern, Switzerland
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Insitute of Social and Preventive Medicine, Bern, Switzerland
| | - M Arfan Ikram
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Gabriel P Krestin
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Tassos Anastassiades
- Division of Rheumatology, Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Robert Josse
- Division of Endocrinology and Metabolism, University of Toronto, Toronto, Ontario, Canada
| | - Stephanie M Kaiser
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - David Goltzman
- Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Brian C Lentle
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jerilynn C Prior
- Endocrinology, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - William D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Eugene McCloskey
- The Mellanby Centre for Bone Research, University of Sheffield, Sheffield, U.K
| | - Olivier Lamy
- Bone and Joint Department, Center of Bone Diseases, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Didier Hans
- Bone and Joint Department, Center of Bone Diseases, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Edwin H Oei
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
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12
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Lentle B, Koromani F, Brown JP, Oei L, Ward L, Goltzman D, Rivadeneira F, Leslie WD, Probyn L, Prior J, Hammond I, Cheung AM, Oei EH. The Radiology of Osteoporotic Vertebral Fractures Revisited. J Bone Miner Res 2019; 34:409-418. [PMID: 30645770 DOI: 10.1002/jbmr.3669] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 12/17/2018] [Accepted: 01/05/2019] [Indexed: 01/31/2023]
Abstract
Until recently there has been little evidence available to validate any method by which to make an accurate diagnosis of an osteoporotic vertebral fractures (OVFs) from plain radiographs. In part this reflects a lack of a completely satisfactory "gold standard," but primarily it relates to the absence of well-designed prospective studies in this context. Historically, OVFs were recognized by evidence of macroscopic structural failure in vertebrae using the criteria applied elsewhere in the skeleton. This comprised altered alignment, fragmentation, cortical disruptions, and breaks, among other changes. However, these morphological criteria were replaced by vertebral morphometry, referring to the use of quantitative or quasi-quantitative measurement tools for fracture diagnosis. Vertebral morphometry emerged as an understanding of and treatment for osteoporosis evolved, mainly in response to the need for expeditious assessments of large numbers of spine images for epidemiological and pharmaceutical purposes. Although most of the descriptions of such morphometric tools have stressed that they were not to be applied to clinical diagnosis with respect to individual patients, this constraint has been widely disregarded. Here we review the major attempts to develop a diagnostic strategy for OVF and describe their characteristics in adults and children. Recent evidence suggests that morphometric (quantitative; ie, based on measurement of dimensions and shape description) criteria are inferior to morphologic (qualitative; ie, based on structural integrity) vertebral damage assessment in identifying people with low bone density and at an increased risk of future fracture. Thus there is now an evidentiary basis for suggesting that morphological assessment is the preferred strategy for use in diagnosing OVF from radiographs. © 2019 American Society for Bone and Mineral Research.
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Affiliation(s)
- Brian Lentle
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Fjorda Koromani
- Department of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands.,Department of Internal Medicine, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands.,Department of Epidemiology, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands
| | - Jacques P Brown
- Department of Medicine, Division of Rheumatology, CHU de Québec Research Centre, Laval University, Québec City, QC, Canada
| | - Ling Oei
- Department of Internal Medicine, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands.,Department of Epidemiology, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands
| | - Leanne Ward
- Division of Bone Health, Department of Pediatrics, University of Ottawa, Ottawa, ON, Canada
| | - David Goltzman
- Department of Medicine, McGill University and McGill University Health Centre, Montréal, QC, Canada
| | - Fernando Rivadeneira
- Department of Internal Medicine, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands.,Department of Epidemiology, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands
| | - William D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Linda Probyn
- Department of Medical Imaging, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Jerilynn Prior
- Division of Endocrinology, University of British Columbia, Vancouver, BC, Canada
| | - Ian Hammond
- Department of Radiology, University of Ottawa, Ottawa, ON, Canada
| | - Angela M Cheung
- Department of Medicine and Joint Department of Medical Imaging, Centre of Excellence in Skeletal Health Assessment, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Edwin H Oei
- Department of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Erasmus MC, Rotterdam, The Netherlands
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13
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van Middelkoop M, Macri EM, Eijkenboom JF, van der Heijden RA, Crossley KM, Bierma-Zeinstra SM, de Kanter JL, Oei EH, Collins NJ. Are Patellofemoral Joint Alignment and Shape Associated With Structural Magnetic Resonance Imaging Abnormalities and Symptoms Among People With Patellofemoral Pain? Am J Sports Med 2018; 46:3217-3226. [PMID: 30321064 PMCID: PMC6236631 DOI: 10.1177/0363546518801314] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Patellofemoral malalignment has been observed among people with patellofemoral pain (PFP) and may be associated with the presence of imaging features of osteoarthritis, symptoms, and function. PURPOSE To determine whether patellofemoral joint alignment and bony shape are associated with (1) cartilage, bone, and soft tissue morphological abnormalities defined on magnetic resonance imaging (MRI) and (2) reported symptoms and function among people with PFP. STUDY DESIGN Cross-sectional study; Level of evidence, 3. METHODS Participants (mean ± SD age, 30.2 ± 9.5 years; range, 14-50 years; 78 females, 58.6%) completed questionnaires regarding demographics, pain, symptoms, and function and underwent a 3-T MRI scan of their more symptomatic eligible knee. Structural MRI abnormalities were scored with the MOAKS (Magnetic Resonance Imaging Osteoarthritis Knee Score), and MRI alignment and shape were measured with standardized methods. Associations among MOAKS features, PFP symptoms, and alignment and shape measures were evaluated with regression analyses (α = .05). RESULTS Minor cartilage defects were present in 22 (16.5%) participants, patellar osteophytes in 83 (62.4%), anterior femur osteophytes in 29 (21.8%), Hoffa synovitis in 81 (60.9%), and prefemoral fat pad synovitis in 49 (36.8%). A larger Insall-Salvati ratio was significantly associated with the presence of patellar osteophytes (odds ratio [OR], 51.82; 95% CI, 4.20-640.01), Hoffa synovitis (OR, 60.37; 95% CI, 4.66-782.61), and prefemoral fat pad synovitis (OR, 43.31; 95% CI, 4.28-438.72) in the patellofemoral joint. A larger patellar tilt angle was significantly associated with the presence of minor cartilage defects (OR, 1.10; 95% CI, 1.00-1.20), the presence of patellar osteophytes (OR 1.12; 95%CI 1.02-1.22), and prefemoral fat pad synovitis (OR, 1.11; 95% CI, 1.03-1.20) in the patellofemoral joint. Finally, a larger bisect offset was significantly associated with the presence of minor cartilage defects (OR, 1.05; 95% CI, 1.00-1.11) and patellar osteophytes (OR, 1.07; 95% CI, 1.01-1.14) in the patellofemoral joint. The majority of patellofemoral alignment measures were not associated with symptoms or function. CONCLUSION For people with PFP, the presence of morphological abnormalities defined on MRI appears to be related to particular patellofemoral alignment measures, including higher Insall-Salvati ratio (indicating patella alta), larger patellar tilt angle (indicating greater lateral tilt), and larger bisect offset (indicating greater lateral displacement). Hardly any associations were found with symptoms or function. So there might be a distinct subgroup of PFP that is more prone to developing patellofemoral osteoarthritis later in life, as particular alignment measures seem to be associated with the presence of patellar osteophytes. Prospective studies are required to investigate the longitudinal relationship between alignment or bony shape and morphological abnormalities defined on MRI in this patient population.
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Affiliation(s)
- Marienke van Middelkoop
- Department of General Practice, Erasmus MC Medical University Center Rotterdam, Rotterdam, the Netherlands,Marienke van Middelkoop, PhD, Department of General Practice, Erasmus University Medical Centre, PO Box 2040, 3000 CA, Rotterdam, the Netherlands ()
| | - Erin M. Macri
- Centre for Hip Health and Mobility, Department of Family Practice, University of British, Columbia, Canada
| | - Joost F. Eijkenboom
- Department of General Practice, Erasmus MC Medical University Center Rotterdam, Rotterdam, the Netherlands
| | - Rianne A. van der Heijden
- Department of Radiology and Nuclear Medicine, Erasmus MC Medical University Center Rotterdam, Rotterdam, the Netherlands
| | - Kay M. Crossley
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, La Trobe University, Bundoora, Australia
| | - Sita M.A. Bierma-Zeinstra
- Department of General Practice, Erasmus MC Medical University Center Rotterdam, Rotterdam, the Netherlands
| | - Janneke L. de Kanter
- Department of Radiology and Nuclear Medicine, Erasmus MC Medical University Center Rotterdam, Rotterdam, the Netherlands
| | - Edwin H. Oei
- Department of Radiology and Nuclear Medicine, Erasmus MC Medical University Center Rotterdam, Rotterdam, the Netherlands
| | - Natalie J. Collins
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia
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14
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Boesen M, Kubassova O, Sudoł-Szopińska I, Maas M, Hansen P, Nybing JD, Oei EH, Hemke R, Guermazi A. MR Imaging of Joint Infection and Inflammation with Emphasis on Dynamic Contrast-Enhanced MR Imaging. PET Clin 2018; 13:523-550. [PMID: 30219186 DOI: 10.1016/j.cpet.2018.05.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Contrast-enhanced MR imaging (CE-MR imaging) is recommended for diagnosis and monitoring of infectious and most inflammatory joint diseases. CE-MR imaging clearly differentiates soft and bony tissue from fluid collections and infectious debris. To improve imaging information, a dynamic CE-MR imaging sequence (DCE-MR imaging) sequence can be applied using fast T1-weighted sequential image acquisition during contrast injection. Use of DCE-MR imaging allows robust extraction of quantitative information regarding blood flow and capillary permeability, especially when dedicated analysis methods and software are used to analyze contrast kinetics. This article describes principles of DCE-MR imaging for the assessment of infectious and inflammatory joint diseases.
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Affiliation(s)
- Mikael Boesen
- Department of Radiology, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23, 2400, Copenhagen Nv, Denmark; Parker Institute, Bispebjerg and Frederiksberg Hospital, Nordrefasanvej 57, 2000 Copenhagen F, Denmark.
| | - Olga Kubassova
- Image Analysis Group (IAG), AQBC Minster House, 272-274 Vauxhall Bridge Road, SW1V 1BA, London, UK
| | - Iwona Sudoł-Szopińska
- Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland; Department of Diagnostic Imaging, Warsaw Medical University, Warsaw, Poland
| | - Mario Maas
- Department of Radiology, Faculty of Medicine, Academic Medical Center (AMC) Amsterdam, University of Amsterdam, Amsterdam, The Netherlands; Department of Nuclear Medicine, Faculty of Medicine, Academic Medical Center (AMC) Amsterdam, University of Amsterdam, Amsterdam, The Netherlands
| | - Philip Hansen
- Department of Radiology, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23, 2400, Copenhagen Nv, Denmark
| | - Janus Damm Nybing
- Department of Radiology, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23, 2400, Copenhagen Nv, Denmark
| | - Edwin H Oei
- Department of Radiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Robert Hemke
- Department of Radiology, Faculty of Medicine, Academic Medical Center (AMC) Amsterdam, University of Amsterdam, Amsterdam, The Netherlands; Department of Nuclear Medicine, Faculty of Medicine, Academic Medical Center (AMC) Amsterdam, University of Amsterdam, Amsterdam, The Netherlands
| | - Ali Guermazi
- Department of Radiology, Boston University School of Medicine, Boston, MA, USA
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15
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Jans L, De Kock I, Herregods N, Verstraete KL, Van den Bosch FE, Carron P, Oei EH, Elewaut D, Jacques P. Response to: 'Use of dual-energy CT to detect and depict bone marrow oedema in rheumatoid arthritis: is it ready to substitute MRI?' by Wu et al. Ann Rheum Dis 2018; 78:e90. [PMID: 30002086 DOI: 10.1136/annrheumdis-2018-213960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 06/28/2018] [Indexed: 11/04/2022]
Affiliation(s)
- Lennart Jans
- Department of Radiology, Ghent University Hospital, Ghent, Belgium
| | - Isabelle De Kock
- Department of Radiology, Ghent University Hospital, Ghent, Belgium
| | - Nele Herregods
- Department of Radiology, Ghent University Hospital, Ghent, Belgium
| | | | - Filip E Van den Bosch
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgium.,Department of Rheumatology and VIB Inflammation Research Center, Unit for Molecular Immunology and Inflammation, Ghent University Hospital, Ghent, Belgium
| | - Philippe Carron
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgium.,Department of Rheumatology and VIB Inflammation Research Center, Unit for Molecular Immunology and Inflammation, Ghent University Hospital, Ghent, Belgium
| | - Edwin H Oei
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Dirk Elewaut
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgium.,Department of Rheumatology and VIB Inflammation Research Center, Unit for Molecular Immunology and Inflammation, Ghent University Hospital, Ghent, Belgium
| | - Peggy Jacques
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgium.,Department of Rheumatology and VIB Inflammation Research Center, Unit for Molecular Immunology and Inflammation, Ghent University Hospital, Ghent, Belgium
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16
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Jans L, De Kock I, Herregods N, Verstraete K, Van den Bosch F, Carron P, Oei EH, Elewaut D, Jacques P. Dual-energy CT: a new imaging modality for bone marrow oedema in rheumatoid arthritis. Ann Rheum Dis 2018; 77:958-960. [PMID: 29496720 DOI: 10.1136/annrheumdis-2018-213152] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 02/15/2018] [Accepted: 02/18/2018] [Indexed: 01/01/2023]
Affiliation(s)
- Lennart Jans
- Department of Radiology, Ghent University Hospital, Ghent, Belgium
| | - Isabelle De Kock
- Department of Radiology, Ghent University Hospital, Ghent, Belgium
| | - Nele Herregods
- Department of Radiology, Ghent University Hospital, Ghent, Belgium
| | | | - Filip Van den Bosch
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgiuim.,Department of Rheumatology and VIB Inflammation Research Center, Unit for Molecular Immunology and Inflammation, Ghent University Hospital, Ghent, Belgium
| | - Philippe Carron
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgiuim.,Department of Rheumatology and VIB Inflammation Research Center, Unit for Molecular Immunology and Inflammation, Ghent University Hospital, Ghent, Belgium
| | - Edwin H Oei
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Dirk Elewaut
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgiuim.,Department of Rheumatology and VIB Inflammation Research Center, Unit for Molecular Immunology and Inflammation, Ghent University Hospital, Ghent, Belgium
| | - Peggy Jacques
- Department of Rheumatology, Ghent University Hospital, Ghent, Belgiuim.,Department of Rheumatology and VIB Inflammation Research Center, Unit for Molecular Immunology and Inflammation, Ghent University Hospital, Ghent, Belgium
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17
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Ferket BS, Feldman Z, Zhou J, Oei EH, Bierma-Zeinstra SMA, Mazumdar M. Impact of total knee replacement practice: cost effectiveness analysis of data from the Osteoarthritis Initiative. BMJ 2017; 356:j1131. [PMID: 28351833 PMCID: PMC6284324 DOI: 10.1136/bmj.j1131] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Objectives To evaluate the impact of total knee replacement on quality of life in people with knee osteoarthritis and to estimate associated differences in lifetime costs and quality adjusted life years (QALYs) according to use by level of symptoms.Design Marginal structural modeling and cost effectiveness analysis based on lifetime predictions for total knee replacement and death from population based cohort data.Setting Data from two studies-Osteoarthritis Initiative (OAI) and the Multicenter Osteoarthritis Study (MOST)-within the US health system.Participants 4498 participants with or at high risk for knee osteoarthritis aged 45-79 from the OAI with no previous knee replacement (confirmed by baseline radiography) followed up for nine years. Validation cohort comprised 2907 patients from MOST with two year follow-up.Intervention Scenarios ranging from current practice, defined as total knee replacement practice as performed in the OAI (with procedural rates estimated by a prediction model), to practice limited to patients with severe symptoms to no surgery.Main outcome measures Generic (SF-12) and osteoarthritis specific quality of life measured over 96 months, model based QALYs, costs, and incremental cost effectiveness ratios over a lifetime horizon.Results In the OAI, total knee replacement showed improvements in quality of life with small absolute changes when averaged across levels of confounding variables: 1.70 (95% uncertainty interval 0.26 to 3.57) for SF-12 physical component summary (PCS); -10.69 (-13.39 to -8.01) for Western Ontario and McMaster Universities arthritis index (WOMAC); and 9.16 (6.35 to 12.49) for knee injury and osteoarthritis outcome score (KOOS) quality of life subscale. These improvements became larger with decreasing functional status at baseline. Provision of total knee replacement to patients with SF-12 PCS scores <35 was the optimal scenario given a cost effectiveness threshold of $200 000/QALY, with cost savings of $6974 ($5789 to $8269) and a minimal loss of 0.008 (-0.056 to 0.043) QALYs compared with current practice. These findings were reproduced among patients with knee osteoarthritis from the MOST cohort and were robust against various scenarios including increased rates of total knee replacement and mortality and inclusion of non-healthcare costs but were sensitive to increased deterioration in quality of life without surgery. In a threshold analysis, total knee replacement would become cost effective in patients with SF-12 PCS scores ≤40 if the associated hospital admission costs fell below $14 000 given a cost effectiveness threshold of $200 000/QALY.Conclusion Current practice of total knee replacement as performed in a recent US cohort of patients with knee osteoarthritis had minimal effects on quality of life and QALYs at the group level. If the procedure were restricted to more severely affected patients, its effectiveness would rise, with practice becoming economically more attractive than its current use.
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Affiliation(s)
- Bart S Ferket
- Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY 10029, USA
| | - Zachary Feldman
- Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY 10029, USA
| | - Jing Zhou
- Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY 10029, USA
| | - Edwin H Oei
- Department of Radiology, Erasmus MC, University Medical Centre Rotterdam, Postbus 2040, 3000 CA, Rotterdam, Netherlands
| | - Sita M A Bierma-Zeinstra
- Department of Orthopedics, Erasmus MC, University Medical Centre Rotterdam, Postbus 2040, 3000 CA, Rotterdam, Netherlands
- Department of General Practice, Erasmus MC, University Medical Centre Rotterdam, Postbus 2040, 3000 CA, Rotterdam, Netherlands
| | - Madhu Mazumdar
- Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY 10029, USA
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18
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van de Laarschot DM, Somford MP, Jager A, Oei EH, Bos PK, Zillikens MC. "Atypical" atypical femur fractures and use of bisphosphonates. Clin Cases Miner Bone Metab 2017; 13:204-208. [PMID: 28228783 DOI: 10.11138/ccmbm/2016.13.3.204] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Atypical femur fractures (AFFs) present a rare but serious condition associated with use of bisphosphonates. Underlying mechanisms and clinical risk factors remain unclear. According to the diagnostic criteria formulated by the ASBMR, a lateral localization of an AFF is required. CASE HISTORY We present a patient who developed bilateral leg pain while using an oral bisphosphonate and aromatase inhibitor in the course of adjuvant treatment for breast cancer. Initially she was diagnosed with bone metastases and received radiotherapy on the right femur. However, the bilateral periosteal reactions of the subtrochanteric femur are highly suggestive of AFFs. Our case meets all criteria for AFF except that she presented with lesions at the medial side of the femur. Therefore they could be best described as "atypical" atypical femur fractures. DISCUSSION Since the pathogenesis of AFFs is not fully understood, we cannot rule out that AFFs also occur in the medial femur or in other weight-baring bones. Hence we propose that medial stress reactions belong to a spectrum of atypical fractures associated with use of antiresorptive drugs. The localization may depend on yet unknown biomechanical factors. CONCLUSION We propose that these periosteal reactions of the subtrochanteric femur are in fact AFFs with uncommon medial localization and could hence be considered "atypical" AFFs. We recommend being alert of AFFs in patients with bone pain and medial subtrochanteric lesions. More epidemiological studies are needed to investigate the occurrence of both medial and lateral AFFs and to gain more insight into its frequency and pathogenesis.
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Affiliation(s)
| | - Matthijs P Somford
- Department of Orthopedic Surgery, Rijnstate Hospital, Arnhem, The Netherlands
| | - Agnes Jager
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Edwin H Oei
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - P Koen Bos
- Department of Orthopedics, Erasmus MC, Rotterdam, The Netherlands
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19
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Nielson CM, Liu CT, Smith AV, Ackert-Bicknell CL, Reppe S, Jakobsdottir J, Wassel C, Register TC, Oei L, Alonso N, Oei EH, Parimi N, Samelson EJ, Nalls MA, Zmuda J, Lang T, Bouxsein M, Latourelle J, Claussnitzer M, Siggeirsdottir K, Srikanth P, Lorentzen E, Vandenput L, Langefeld C, Raffield L, Terry G, Cox AJ, Allison MA, Criqui MH, Bowden D, Ikram MA, Mellström D, Karlsson MK, Carr J, Budoff M, Phillips C, Cupples LA, Chou WC, Myers RH, Ralston SH, Gautvik KM, Cawthon PM, Cummings S, Karasik D, Rivadeneira F, Gudnason V, Orwoll ES, Harris TB, Ohlsson C, Kiel DP, Hsu YH. Novel Genetic Variants Associated With Increased Vertebral Volumetric BMD, Reduced Vertebral Fracture Risk, and Increased Expression of SLC1A3 and EPHB2. J Bone Miner Res 2016; 31:2085-2097. [PMID: 27476799 PMCID: PMC5477772 DOI: 10.1002/jbmr.2913] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Revised: 06/22/2016] [Accepted: 07/08/2016] [Indexed: 12/26/2022]
Abstract
Genome-wide association studies (GWASs) have revealed numerous loci for areal bone mineral density (aBMD). We completed the first GWAS meta-analysis (n = 15,275) of lumbar spine volumetric BMD (vBMD) measured by quantitative computed tomography (QCT), allowing for examination of the trabecular bone compartment. SNPs that were significantly associated with vBMD were also examined in two GWAS meta-analyses to determine associations with morphometric vertebral fracture (n = 21,701) and clinical vertebral fracture (n = 5893). Expression quantitative trait locus (eQTL) analyses of iliac crest biopsies were performed in 84 postmenopausal women, and murine osteoblast expression of genes implicated by eQTL or by proximity to vBMD-associated SNPs was examined. We identified significant vBMD associations with five loci, including: 1p36.12, containing WNT4 and ZBTB40; 8q24, containing TNFRSF11B; and 13q14, containing AKAP11 and TNFSF11. Two loci (5p13 and 1p36.12) also contained associations with radiographic and clinical vertebral fracture, respectively. In 5p13, rs2468531 (minor allele frequency [MAF] = 3%) was associated with higher vBMD (β = 0.22, p = 1.9 × 10-8 ) and decreased risk of radiographic vertebral fracture (odds ratio [OR] = 0.75; false discovery rate [FDR] p = 0.01). In 1p36.12, rs12742784 (MAF = 21%) was associated with higher vBMD (β = 0.09, p = 1.2 × 10-10 ) and decreased risk of clinical vertebral fracture (OR = 0.82; FDR p = 7.4 × 10-4 ). Both SNPs are noncoding and were associated with increased mRNA expression levels in human bone biopsies: rs2468531 with SLC1A3 (β = 0.28, FDR p = 0.01, involved in glutamate signaling and osteogenic response to mechanical loading) and rs12742784 with EPHB2 (β = 0.12, FDR p = 1.7 × 10-3 , functions in bone-related ephrin signaling). Both genes are expressed in murine osteoblasts. This is the first study to link SLC1A3 and EPHB2 to clinically relevant vertebral osteoporosis phenotypes. These results may help elucidate vertebral bone biology and novel approaches to reducing vertebral fracture incidence. © 2016 American Society for Bone and Mineral Research.
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Affiliation(s)
- Carrie M Nielson
- School of Public Health, Oregon Health & Science University, Portland, OR, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Albert V Smith
- Icelandic Heart Association, Kópavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | | | - Sjur Reppe
- Department of Medical Biochemistry, Oslo University Hospital, Ullevål, Oslo, Norway.,Lovisenberg Diakonale Hospital, Oslo, Norway.,Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | | | - Christina Wassel
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
| | - Thomas C Register
- Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ling Oei
- Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.,Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - Nerea Alonso
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, UK
| | - Edwin H Oei
- Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Neeta Parimi
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Elizabeth J Samelson
- Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA, USA
| | - Mike A Nalls
- National Institute on Aging (NIA), National Institutes of Health, Bethesda, MD, USA
| | - Joseph Zmuda
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Thomas Lang
- Department of Radiology, University of California, San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Mary Bouxsein
- Center for Advanced Orthopedic Studies, Beth Israel Deaconess Medical Center, Harvard University Medical School, Boston, MA, USA
| | | | - Melina Claussnitzer
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Technical University Munich, Munich, Germany
| | | | - Priya Srikanth
- School of Public Health, Oregon Health & Science University, Portland, OR, USA
| | - Erik Lorentzen
- Department of Bioinformatics, Gothenburg University, Gothenburg, Sweden
| | - Liesbeth Vandenput
- Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Carl Langefeld
- Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Laura Raffield
- Center for Human Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Greg Terry
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN, USA
| | - Amanda J Cox
- Center for Diabetes Research, Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Matthew A Allison
- Department of Family Medicine and Public Health, University of California, San Diego (UCSD), La Jolla, CA, USA
| | - Michael H Criqui
- Department of Family Medicine and Public Health, University of California, San Diego (UCSD), La Jolla, CA, USA
| | - Don Bowden
- Center for Diabetes Research, Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Internal Medicine/Endocrinology, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Dan Mellström
- Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Magnus K Karlsson
- Department of Orthopaedics and Clinical Sciences, Malmö University Hospital, Lund University, Malmö, Sweden
| | - John Carr
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN, USA
| | - Matthew Budoff
- Los Angeles Biomedical Research Institute, Torrance, CA, USA
| | - Caroline Phillips
- National Institute on Aging (NIA), National Institutes of Health, Bethesda, MD, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Wen-Chi Chou
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Stuart H Ralston
- Rheumatic Diseases Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, UK
| | - Kaare M Gautvik
- Lovisenberg Diakonale Hospital, Oslo, Norway.,Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Peggy M Cawthon
- California Pacific Medical Center Research Institute, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Steven Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - David Karasik
- Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA, USA.,Faculty of Medicine in the Galilee, Bar-Ilan University, Safed, Israel
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kópavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Eric S Orwoll
- Division of Endocrinology, Oregon Health & Science University, Portland, OR, USA
| | - Tamara B Harris
- National Institute on Aging (NIA), National Institutes of Health, Bethesda, MD, USA
| | - Claes Ohlsson
- Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Douglas P Kiel
- Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA, USA.,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University Medical School, Boston, MA, USA
| | - Yi-Hsiang Hsu
- Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Molecular and Integrative Physiological Sciences, Harvard School of Public Health, Boston, MA, USA
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20
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Runhaar J, Deroisy R, van Middelkoop M, Barretta F, Barbetta B, Oei EH, Vroegindeweij D, Giacovelli G, Bruyère O, Rovati LC, Reginster JY, Bierma-Zeinstra SM. The role of diet and exercise and of glucosamine sulfate in the prevention of knee osteoarthritis: Further results from the PRevention of knee Osteoarthritis in Overweight Females (PROOF) study. Semin Arthritis Rheum 2016; 45:S42-8. [DOI: 10.1016/j.semarthrit.2015.11.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Accepted: 11/04/2015] [Indexed: 12/23/2022]
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21
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Runhaar J, van Middelkoop M, Reijman M, Willemsen S, Oei EH, Vroegindeweij D, van Osch G, Koes B, Bierma-Zeinstra SMA. Prevention of knee osteoarthritis in overweight females: the first preventive randomized controlled trial in osteoarthritis. Am J Med 2015; 128:888-895.e4. [PMID: 25818496 DOI: 10.1016/j.amjmed.2015.03.006] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Revised: 03/11/2015] [Accepted: 03/11/2015] [Indexed: 10/23/2022]
Abstract
BACKGROUND With accumulating knowledge on osteoarthritis development, the next step is to focus on possibilities for primary prevention. METHODS In a 2 × 2 factorial design, the effects of a diet-and-exercise program and of oral glucosamine sulfate (double blind and placebo-controlled) on the incidence of knee osteoarthritis were evaluated in a high-risk group of 407 middle-aged women with a body mass index ≥ 27 kg/m(2) without clinical signs of knee osteoarthritis at baseline (ISRCTN 42823086). Primary outcome was the incidence of knee osteoarthritis, defined as Kellgren & Lawrence grade ≥ 2, joint space narrowing of ≥ 1.0 mm, or clinical knee osteoarthritis (clinical and radiographic American College of Rheumatology criteria) after 2.5 years. RESULTS After 2.5 years, only 10% of all subjects were lost to follow-up, and 17% of all knees showed incident knee osteoarthritis. Accounting for the significant interaction between the interventions, no significant main effect of either intervention was found. Independently, both interventions alone showed indications of reduced knee osteoarthritis incidence (odds ratio [OR] 0.69; 95% CI, 0.39-1.21 for the diet-and-exercise program and OR 0.60; 95% CI, 0.31-1.12 for the glucosamine intervention). These effects were neutralized in subjects receiving both interventions (OR 0.97; 95% CI, 0.55-1.71). CONCLUSIONS No significant main effects of the diet-and-exercise program and of glucosamine sulfate were found on incident knee osteoarthritis. Nevertheless, this trial provides valuable insights for future trial design for preventive osteoarthritis studies.
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Affiliation(s)
- Jos Runhaar
- Department of General Practice, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
| | - Marienke van Middelkoop
- Department of General Practice, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Max Reijman
- Department of Orthopaedics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Sten Willemsen
- Department of Biostatistics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Edwin H Oei
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | | | - Gerjo van Osch
- Department of Orthopaedics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Bart Koes
- Department of General Practice, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Sita M A Bierma-Zeinstra
- Department of General Practice, Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Orthopaedics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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22
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Roels P, Agricola R, Oei EH, Weinans H, Campoli G, Zadpoor AA. Mechanical factors explain development of cam-type deformity. Osteoarthritis Cartilage 2014; 22:2074-82. [PMID: 25241242 DOI: 10.1016/j.joca.2014.09.011] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2014] [Revised: 09/04/2014] [Accepted: 09/06/2014] [Indexed: 02/02/2023]
Abstract
OBJECTIVE A cam-type deformity drastically increases the risk of hip osteoarthritis (OA). Since this type of skeletal anomaly is more prevalent among young active adults, it is hypothesized that the loading conditions experienced during certain types of vigorous physical activities stimulates formation of cam-type deformity. We further hypothesize that the growth plate shape modulates the influence of mechanical factors on the development of cam-type deformity. DESIGN We used finite element (FE) models of the proximal femur with an open growth plate to study whether mechanical factors could explain the development of cam-type deformity in adolescents. Four different loading conditions (representing different types of physical activities) and three different levels of growth plate extension towards the femoral neck were considered. Mechanical stimuli at the tissue level were calculated by means of the osteogenic index (OI) for all loading conditions and growth plate shape variations. RESULTS Loading conditions and growth plate shape influence the distribution of OI in hips with an open growth plate, thereby driving the development of cam-type deformity. In particular, specific types of loads experienced during physical activities and a larger growth plate extension towards the femoral neck increase the chance of cam-type deformity. CONCLUSIONS Specific loading patterns seem to stimulate the development of cam-type deformity by modifying the distribution of the mechanical stimulus. This is in line with recent clinical studies and reveals mechanobiological mechanisms that trigger the development of cam-type deformity. Avoiding these loading patterns during skeletal growth might be a potential preventative strategy for future hip OA.
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Affiliation(s)
- P Roels
- Department of Biomechanical Engineering, Faculty of Mechanical, Maritime, and Materials Engineering, Delft University of Technology, Mekelweg 2, Delft 2628 CD, The Netherlands.
| | - R Agricola
- Department of Orthopedics, Erasmus Medical Center, Rotterdam, The Netherlands.
| | - E H Oei
- Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands.
| | - H Weinans
- Department of Biomechanical Engineering, Faculty of Mechanical, Maritime, and Materials Engineering, Delft University of Technology, Mekelweg 2, Delft 2628 CD, The Netherlands; Department of Orthopedics, University Medical Center, Utrecht, The Netherlands; Department of Rheumatology, University Medical Center, Utrecht, The Netherlands.
| | - G Campoli
- Department of Biomechanical Engineering, Faculty of Mechanical, Maritime, and Materials Engineering, Delft University of Technology, Mekelweg 2, Delft 2628 CD, The Netherlands.
| | - A A Zadpoor
- Department of Biomechanical Engineering, Faculty of Mechanical, Maritime, and Materials Engineering, Delft University of Technology, Mekelweg 2, Delft 2628 CD, The Netherlands.
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23
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van Meer BL, Oei EH, Bierma-Zeinstra SM, van Arkel ER, Verhaar JA, Reijman M, Meuffels DE. Are magnetic resonance imaging recovery and laxity improvement possible after anterior cruciate ligament rupture in nonoperative treatment? Arthroscopy 2014; 30:1092-9. [PMID: 24951134 DOI: 10.1016/j.arthro.2014.04.098] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2013] [Revised: 04/14/2014] [Accepted: 04/22/2014] [Indexed: 02/02/2023]
Abstract
PURPOSE This study aimed to determine whether anterior cruciate ligament (ACL) features on magnetic resonance imaging (MRI) and knee laxity are improved 2 years after ACL rupture treated nonoperatively and to analyze the relation between changes in scores of ACL features and changes in laxity. METHODS One hundred fifty-four eligible patients were included in a prospective multicenter cohort study with 2-year follow-up. Inclusion criteria were (1) ACL rupture diagnosed by physical examination and MRI, (2) MRI within 6 months after trauma, and (3) age 18 to 45 years. Laxity tests and MRI were performed at baseline and at 2-year follow-up. Fifty of 143 patients, for whom all MRI data was available, were treated nonoperatively and were included for this study. Nine ACL features were scored using MRI: fiber continuity, signal intensity, slope of ACL with respect to the Blumensaat line, distance between the Blumensaat line and the ACL, tension, thickness, clear boundaries, assessment of original insertions, and assessment of the intercondylar notch. A total score was determined by summing scores for each feature. RESULTS Fiber continuity improved in 30 patients (60%), and the empty intercondylar notch resolved for 22 patients (44%). Improvement in other ACL features ranged from 4% to 28%. Sixteen patients (32%) improved on the Lachman test (change from soft to firm end points [n = 14]; decreased anterior translation [n = 2]), one patient (2%) showed improvement with the KT-1000 arthrometer (MEDmetric, San Diego, CA) and 4 patients (8%) improved on the pivot shift test. Improvement on the Lachman test was moderately negatively associated with the total score of ACL features at follow-up. Analyzing ACL features separately showed that only signal intensity improvement, clear boundaries, and intercondylar notch assessment were positively associated with improvement on the Lachman test. CONCLUSIONS Two years after ACL rupture and nonoperative management, patients experienced partial recovery on MRI, and some knee laxity improvement was present. Improvement of ACL features on MRI correlates moderately with improved laxity. LEVEL OF EVIDENCE Level II, Prospective comparative study.
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Affiliation(s)
- Belle L van Meer
- Department of Orthopedic Surgery, Erasmus MC, University Medical Center Rotterdam, The Netherlands.
| | - Edwin H Oei
- Department of Radiology, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Sita M Bierma-Zeinstra
- Department of Orthopedic Surgery, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of General Practice, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Ewoud R van Arkel
- Department of Orthopedic Surgery, Medical Center Haaglanden, The Hague, The Netherlands
| | - Jan A Verhaar
- Department of Orthopedic Surgery, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Max Reijman
- Department of Orthopedic Surgery, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Duncan E Meuffels
- Department of Orthopedic Surgery, Erasmus MC, University Medical Center Rotterdam, The Netherlands
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24
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Groot Koerkamp B, Nikken JJ, Oei EH, Stijnen T, Ginai AZ, Hunink MGM. Value of Information Analysis Used to Determine the Necessity of Additional Research: MR Imaging in Acute Knee Trauma as an Example. Radiology 2008; 246:420-5. [DOI: 10.1148/radiol.2462070093] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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