van Oudenaarde Kim, Jobke Björn, Oostveen Ans C M, Marijnissen Annekarien C A, Wolterbeek Ron, Wesseling Janet, Bierma-Zeinstra Sita M A, Bloem Hans L, Reijnierse Monique, Kloppenburg Margreet
Radiology, Leiden University Medical Center, Leiden, The Netherlands
Radiology, German Cancer Research Center, Heidelberg, Germany.
Rheumatology (Oxford). 2017 Jan;56(1):113-120. doi: 10.1093/rheumatology/kew368. Epub 2016 Oct 25.
To determine whether MRI features are associated with development of radiographic knee OA and can be used as a predictive tool in early knee OA.
In 148 participants of the Cohort Hip and Cohort Knee study (mean age 56 years, 78% women), with a Kellgren Lawrence (KL) score ⩽1, we obtained semi-quantitatively scored knee MRI scans and radiographs at baseline. After 5 years, we determined the development of radiographic knee OA (KL ⩾2). We calculated odds ratios (ORs), with 95% CIs adjusted for age, sex and BMI, to identify MRI features associated with OA development. With these MRI features, we constructed an internally validated prediction model, for which we measured the area under the receiver operating characteristics curve, sensitivity and specificity.
Radiographic OA developed in 28% of the participants after 5 years. Statistically significant associations were: cartilage defects OR = 1.7 (95% CI: 1.1, 2.6), osteophytes OR = 3.1 (1.7, 5.7), bone marrow lesions OR = 2.0 (1.2, 3.4), effusion OR = 2.1 (1.2, 3.5) and meniscal pathology OR = 2.8 (1.3, 6.3). With the combined MRI features in a prediction model, the sensitivity was 66%, the specificity 67% and the optimism-corrected area under the receiver operating characteristics curve 0.685.
In early knee OA, MRI depicts significantly associated pathology in cartilage, bone and menisci, whereas the radiograph fails to detect these changes. Although MRI has potential for identifying patients at risk for developing radiographic knee OA, it cannot be used as an absolute diagnostic tool in early knee OA due to its low discriminative ability.
确定MRI特征是否与膝关节影像学骨关节炎的发展相关,并能否用作早期膝关节骨关节炎的预测工具。
在队列髋关节和队列膝关节研究的148名参与者(平均年龄56岁,78%为女性)中,Kellgren Lawrence(KL)评分≤1,我们在基线时获得了半定量评分的膝关节MRI扫描和X线片。5年后,我们确定了膝关节影像学骨关节炎(KL≥2)的发展情况。我们计算了优势比(OR),并对年龄、性别和BMI进行了95%可信区间调整,以确定与骨关节炎发展相关的MRI特征。利用这些MRI特征,我们构建了一个内部验证的预测模型,并测量了受试者工作特征曲线下面积、敏感性和特异性。
5年后,28%的参与者出现了影像学骨关节炎。具有统计学意义的关联为:软骨缺损OR = 1.7(95%CI:1.1,2.6),骨赘OR = 3.1(1.7,5.7),骨髓病变OR = 2.0(1.2,3.4),积液OR = 2.1(1.2,3.5)和半月板病变OR = 2.8(1.3,6.3)。在一个预测模型中结合MRI特征,敏感性为66%,特异性为67%,受试者工作特征曲线下乐观校正面积为0.685。
在早期膝关节骨关节炎中,MRI显示软骨、骨和半月板有显著相关的病变,而X线片未能检测到这些变化。虽然MRI有潜力识别有发展为膝关节影像学骨关节炎风险的患者,但由于其鉴别能力低,在早期膝关节骨关节炎中不能用作绝对的诊断工具。