Validation of a Knowledge Transfer Tool for the Knee Inflammation MRI Scoring System for Bone Marrow Lesions According to the OMERACT Filter: Data from the Osteoarthritis Initiative

被引:7
|
作者
Jaremko, Jacob L. [1 ]
Azmat, Omar [1 ]
Lambert, Robert G. [1 ]
Bird, Paul [3 ]
Haugen, Ida K. [4 ]
Jans, Lennart [5 ]
Weber, Ulrich [6 ,7 ]
Winn, Naomi [8 ]
Zubler, Veronika [9 ]
Maksymowych, Walter P. [2 ]
机构
[1] Univ Alberta, Dept Radiol & Diagnost Imaging, Fac Med & Dent, Edmonton, AB, Canada
[2] Univ Alberta, Div Rheumatol, Fac Med & Dent, Edmonton, AB, Canada
[3] Univ New South Wales, Div Med, Sydney, NSW, Australia
[4] Diakonhjemmet Hosp, Dept Rheumatol, Oslo, Norway
[5] Ghent Univ Hosp, Dept Radiol & Med Imaging, Ghent, Belgium
[6] King Christian 10th Hosp Rheumat Dis, Grasten, Denmark
[7] Univ Southern Denmark, Inst Reg Hlth Res, Odense, Denmark
[8] Robert Jones & Agnes Hunt Orthopaed Hosp, Dept Radiol, Oswestry, Shrops, England
[9] Balgrist Univ Hosp, Dept Radiol, Zurich, Switzerland
关键词
KNEE JOINT; SCORING METHODS; OSTEOARTHRITIS; OMERACT; MRI; BONE MARROW LESION; PROGRESSION; OVERLAY; MODULE; DAMAGE; BLOKS;
D O I
10.3899/jrheum.161102
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective. To assess feasibility and reliability of scoring bone marrow lesions (BML) on knee magnetic resonance imaging (MRI) in osteoarthritis using the Outcome Measures in Rheumatology Knee Inflammation MRI Scoring System (KIMRISS), with a Web-based interface and online training with real-time iterative calibration. Methods. Six readers new to the KIMRISS (3 radiologists, 3 rheumatologists) scored sagittal T2-weighted fat-saturated MRI in 20 subjects randomly selected from the Osteoarthritis Initiative data, at baseline and 1-year followup. In the KIMRISS, the reader moves a transparent overlay grid within a Web-based interface to fit bones, then clicks or touches each region containing BML per slice, to score 1 if BML is present. Regional and total scores are automatically calculated. Outcomes include the interreader intraclass correlation coefficients (ICC) and the smallest detectable change (SDC). Results. Scoring took 3-12 min per scan and all readers rated the process as moderately to very user friendly. Despite a low BML burden (average score 2.8% of maximum possible) and small changes, interobserver reliability was moderate to high for BML status and change in the femur and tibia (ICC 0.78-0.88). Four readers also scored the patella reliably, whereas 2 readers were outliers, likely because of image artifacts. SDC of 1.5-5.6 represented 0.7% of the maximum possible score. Conclusion. We confirmed feasibility of knee BML scoring by new readers using interactive training and a Web-based touch-sensitive overlay system, finding high reliability and sensitivity to change. Further work will include adjustments to training materials regarding patellar scoring, and study in therapeutic trial datasets with higher burden of BML and larger changes.
引用
收藏
页码:1718 / 1722
页数:5
相关论文
共 50 条
  • [21] The reliability of a new scoring system for knee osteoarthritis MRI and the validity of bone marrow lesion assessment: BLOKS (Boston-Leeds Osteoarthritis Knee Score)
    Hunter, D. J.
    Lo, G. H.
    Gale, D.
    Grainger, A. J.
    Guermazi, A.
    Conaghan, P. G.
    ANNALS OF THE RHEUMATIC DISEASES, 2008, 67 (02) : 206 - 211
  • [22] Automatic Detection of Bone Marrow Lesions from Knee MRI Data from the OAI Study
    Liu, Shen
    Sun, Xiaoxiao
    Roemer, Frank
    Ashbeck, Erin
    Bedrick, Edward
    Li, Zong-Ming
    Guermazi, Ali
    Kwoh, Kent
    ARTHRITIS & RHEUMATOLOGY, 2021, 73 : 3096 - 3097
  • [23] CONCURRENT CRITERION AND CLINICAL VALIDATION OF A RAPID, QUANTITATIVE METHOD OF MRI-DETECTED BONE MARROW LESIONS IN KNEE OSTEOARTHRITIS
    Ratzlaff, C.
    Guermazi, A.
    Collins, J.
    Katz, J. N.
    Losina, E.
    Russell, R.
    Vanwyngaarden, C.
    Duryea, J.
    OSTEOARTHRITIS AND CARTILAGE, 2013, 21 : S184 - S185
  • [24] Similar Reliability of DESS and TSE Magnetic Resonance Imaging Sequences in the Assessment of Bone Marrow Lesions in Knee Osteoarthritis Patients: Data From the Osteoarthritis Initiative Cohort
    Raynauld, Jean-Pierre
    Wildi, Lukas M.
    Abram, Francois
    Moser, Thomas
    Girard, Manon
    Martel-Pelletier, Johanne
    Pelletier, Jean Pierre
    ARTHRITIS AND RHEUMATISM, 2011, 63 (10): : S779 - S780
  • [25] Factors associated with trajectories of bone marrow lesions over 4 years: data from the Osteoarthritis Initiative
    Shen, Ziyuan
    Zhang, Xiaoyue
    Wang, Yining
    Zhu, Rui
    Ge, Liru
    Cai, Guoqi
    SKELETAL RADIOLOGY, 2024, 53 (07) : 1333 - 1341
  • [26] BONE MARROW LESIONS ARE SPATIALLY ASSOCIATED WITH DENUDED CARTILAGE IN OSTEOARTHRITIC KNEES: DATA FROM THE OSTEOARTHRITIS INITIATIVE
    Bowes, M. A.
    McLure, S. W.
    Wolstenholme, C. B.
    Vincent, G. R.
    Williams, S.
    Conaghan, P. G.
    OSTEOARTHRITIS AND CARTILAGE, 2014, 22 : S261 - S261
  • [27] Factors associated with trajectories of bone marrow lesions over 4 years: data from the Osteoarthritis Initiative
    Ziyuan Shen
    Xiaoyue Zhang
    Yining Wang
    Rui Zhu
    Liru Ge
    Guoqi Cai
    Skeletal Radiology, 2024, 53 : 1333 - 1341
  • [28] THE RELATIONSHIP BETWEEN KNEE SYMPTOMS AND 3D MRI KNEE BONE SHAPE: DATA FROM THE OSTEOARTHRITIS INITIATIVE
    Barr, A. J.
    Dube, B.
    Hensor, E. M.
    Kingsbury, S. R.
    Peat, G.
    Bowes, M. A.
    Sharples, L. D.
    Conaghan, P. G.
    OSTEOARTHRITIS AND CARTILAGE, 2016, 24 : S278 - S279
  • [29] Thigh muscle and fat volumes are associated with knee cartilage abnormalities and bone marrow edema-like lesions: data from the osteoarthritis initiative
    Rawee Manatrakul
    Amir M. Pirmoazen
    Upasana U. Bharadwaj
    Zehra Akkaya
    Paula J. Giesler
    John A. Lynch
    Michael C. Nevitt
    Charles E. McCulloch
    Gabby B. Joseph
    Thomas M. Link
    Skeletal Radiology, 2024, 53 : 1279 - 1286
  • [30] Thigh muscle and fat volumes are associated with knee cartilage abnormalities and bone marrow edema-like lesions: data from the osteoarthritis initiative
    Manatrakul, Rawee
    Pirmoazen, Amir M.
    Bharadwaj, Upasana U.
    Akkaya, Zehra
    Giesler, Paula J.
    Lynch, John A.
    Nevitt, Michael C.
    Mcculloch, Charles E.
    Joseph, Gabby B.
    Link, Thomas M.
    SKELETAL RADIOLOGY, 2024, 53 (07) : 1279 - 1286