Maksymowych Walter P, Jaremko Jacob L, Pedersen Susanne J, Eshed Iris, Weber Ulrich, McReynolds Andrew, Bird Paul, Wichuk Stephanie, Lambert Robert G
Department of Medicine, University of Alberta, 568 Heritage Medical Research Building, University of Alberta, Edmonton, AB T6R 2G8, Canada.
CARE Arthritis, Edmonton, AB, Canada.
Ther Adv Musculoskelet Dis. 2023 Jul 12;15:1759720X231171766. doi: 10.1177/1759720X231171766. eCollection 2023.
Bone marrow lesions (BMLs) and synovitis on magnetic resonance imaging (MRI) are associated with symptoms and predict degeneration of articular cartilage in osteoarthritis (OA). Validated methods for their semiquantitative assessment on MRI are available, but they all have similar scoring designs and questionable sensitivity to change. New scoring methods with completely different designs need to be developed and compared to existing methods.
To compare the performance of new web-based versions of the Knee Inflammation MRI Scoring System (KIMRISS) with the MRI OA Knee Score (MOAKS) for quantification of BMLs and synovitis-effusion (S-E).
Retrospective follow-up cohort.
We designed web-based overlays outlining regions in the knee that are scored for BML in MOAKS and KIMRISS. For KIMRISS, both BML and S-E are scored on consecutive sagittal slices. The performance of these methods was compared in an international reading exercise of 8 readers evaluating 60 pairs of scans conducted 1 year apart from cases recruited to the OA Initiative (OAI) cohort. Interobserver reliability for baseline status and baseline to 1 year change in BML and S-E was assessed by intra-class correlation coefficient (ICC) and smallest detectable change (SDC). Feasibility was assessed using the System Usability Scale (SUS).
Mean change in BML and S-E was minimal over 1 year. Pre-specified targets for acceptable reliability (ICC ⩾ 0.80 and ⩾ 0.70 for status and change scores, respectively) were achieved more frequently for KIMRISS for both BML and synovitis. Mean (95% CI) ICC for change in BML was 0.88 (0.83-0.92) and 0.69 (0.60-0.78) for KIMRISS and MOAKS, respectively. KIMRISS mean SUS usability score was 85.7 and at the 95th centile of ranking for usability versus a score of 55.4 and 20th centile for MOAKS.
KIMRISS had superior performance metrics to MOAKS for quantification of BML and S-E. Both methods should be further compared in trials of new therapies for OA.
磁共振成像(MRI)上的骨髓病变(BMLs)和滑膜炎与症状相关,并可预测骨关节炎(OA)中关节软骨的退变。目前已有对其在MRI上进行半定量评估的有效方法,但它们都具有相似的评分设计,且对变化的敏感性存疑。需要开发设计完全不同的新评分方法,并与现有方法进行比较。
比较基于网络的新型膝关节炎症MRI评分系统(KIMRISS)与MRI骨关节炎膝关节评分(MOAKS)在量化BMLs和滑膜炎-积液(S-E)方面的性能。
回顾性随访队列研究。
我们设计了基于网络的覆盖图,勾勒出在MOAKS和KIMRISS中对BML进行评分的膝关节区域。对于KIMRISS,BML和S-E均在连续的矢状面上进行评分。在一项国际阅片活动中,8名阅片者对从骨关节炎倡议(OAI)队列招募的病例相隔1年进行的60对扫描进行评估,比较这些方法的性能。通过组内相关系数(ICC)和最小可检测变化(SDC)评估BML和S-E的基线状态以及从基线到1年变化的观察者间可靠性。使用系统可用性量表(SUS)评估可行性。
BML和S-E在1年中的平均变化极小。对于KIMRISS,在BML和滑膜炎方面,可接受可靠性的预先设定目标(状态和变化分数的ICC分别⩾0.80和⩾0.70)实现得更为频繁。BML变化的平均(95%CI)ICC,KIMRISS为0.88(0.83 - 0.92),MOAKS为0.69(0.60 - 0.78)。KIMRISS的平均SUS可用性评分为85.7,在可用性排名中处于第95百分位,而MOAKS的评分为55.4,处于第20百分位。
在量化BML和S-E方面,KIMRISS的性能指标优于MOAKS。在OA新疗法试验中,两种方法应进一步比较。