Peterfy C G, Guermazi A, Zaim S, Tirman P F J, Miaux Y, White D, Kothari M, Lu Y, Fye K, Zhao S, Genant H K
Synarc, Inc, San Francisco, CA 94105, USA.
Osteoarthritis Cartilage. 2004 Mar;12(3):177-90. doi: 10.1016/j.joca.2003.11.003.
To describe a semi-quantitative scoring method for multi-feature, whole-organ evaluation of the knee in osteoarthritis (OA) based on magnetic resonance imaging (MRI) findings. To determine the inter-observer agreement of this scoring method. To examine associations among the features included in the scoring method.
Nineteen knees of 19 patients with knee OA were imaged with MRI using conventional pulse sequences and a clinical 1.5 T MRI system. Images were independently analyzed by two musculoskeletal radiologists using a whole-organ MRI scoring method (WORMS) that incorporated 14 features: articular cartilage integrity, subarticular bone marrow abnormality, subarticular cysts, subarticular bone attrition, marginal osteophytes, medial and lateral meniscal integrity, anterior and posterior cruciate ligament integrity, medial and lateral collateral ligament integrity, synovitis/effusion, intraarticular loose bodies, and periarticular cysts/bursitis. Intraclass correlation coefficients (ICC) were determined for each feature as a measure of inter-observer agreement. Associations among the scores for different features were expressed as Spearman Rho.
All knees showed structural abnormalities with MRI. Cartilage loss and osteophytes were the most prevalent features (98% and 92%, respectively). One of the least common features was ligament abnormality (8%). Inter-observer agreement for WORMS scores was high (most ICC values were >0.80). The individual features showed strong inter-associations.
The WORMS method described in this report provides multi-feature, whole-organ assessment of the knee in OA using conventional MR images, and shows high inter-observer agreement among trained readers. This method may be useful in epidemiological studies and clinical trials of OA.
描述一种基于磁共振成像(MRI)结果对骨关节炎(OA)膝关节进行多特征、全器官评估的半定量评分方法。确定该评分方法的观察者间一致性。检查评分方法中各特征之间的关联。
使用传统脉冲序列和临床1.5T MRI系统对19例膝关节OA患者的19个膝关节进行MRI成像。两名肌肉骨骼放射科医生使用一种包含14个特征的全器官MRI评分方法(WORMS)对图像进行独立分析,这些特征包括:关节软骨完整性、关节下骨髓异常、关节下囊肿、关节下骨质磨损、边缘骨赘、内侧和外侧半月板完整性、前交叉韧带和后交叉韧带完整性、内侧和外侧副韧带完整性、滑膜炎/积液、关节内游离体以及关节周围囊肿/滑囊炎。确定每个特征的组内相关系数(ICC)作为观察者间一致性的度量。不同特征得分之间的关联用Spearman Rho表示。
所有膝关节在MRI上均显示结构异常。软骨损伤和骨赘是最常见的特征(分别为98%和92%)。最不常见的特征之一是韧带异常(8%)。WORMS评分的观察者间一致性较高(大多数ICC值>0.80)。各个特征之间显示出很强的相互关联。
本报告中描述的WORMS方法使用传统MR图像对OA膝关节进行多特征、全器官评估,并且在经过培训的读者之间显示出较高的观察者间一致性。该方法可能在OA的流行病学研究和临床试验中有用。