Wang Wei, Jiang Tianshu, Zhang Jiang, Liu Jun, Chan Lok Chun, Lin Mengqi, Li Jia, Ding Changhai, Chiu Kwong Yuen, Fu Henry, Chan Ping Keung, Wen Chunyi
Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Osteoarthr Cartil Open. 2024 Mar 19;6(2):100461. doi: 10.1016/j.ocarto.2024.100461. eCollection 2024 Jun.
Joint space width (JSW) is a traditional imaging marker for knee osteoarthritis (OA) severity, but it lacks sensitivity in advanced cases. We propose tibial subchondral bone area (TSBA), a new CT imaging marker to explore its relationship with OA radiographic severity, and to test its performance for classifying surgical decisions between unicompartmental knee arthroplasty (UKA) and total knee arthroplasty (TKA) compared to JSW.
We collected clinical, radiograph, and CT data from 182 patients who underwent primary knee arthroplasty (73 UKA, 109 TKA). The radiographic severity was scored using Kellgren-Lawrence (KL) grading system. TSBA and JSW were extracted from 3D CT-reconstruction model. We used independent -test to investigate the relationship between TSBA and KL grade, and binary logistic regression to identify factors associated with TKA risk. The accuracy of TSBA, JSW and established classification model in differentiating between UKA and TKA was assessed using AUC.
All parameters exhibited inter- and intra-class coefficients greater than 0.966. Patients with KL grade 4 had significantly larger TSBA than those with KL grade 3. TSBA (0.708 of AUC) was superior to minimal/average JSW (0.547/0.554 of AUC) associated with the risk of receiving TKA. Medial TSBA, together with gender and Knee Society Knee Score, emerged as independent classification factors in multivariate analysis. The overall AUC of composite model for surgical decision-making was 0.822.
Tibial subchondral bone area is an independent imaging marker for radiographic severity, and is superior to JSW for surgical decision-making between UKA and TKA in advanced OA patients.
关节间隙宽度(JSW)是评估膝关节骨关节炎(OA)严重程度的传统影像学指标,但在晚期病例中缺乏敏感性。我们提出胫骨软骨下骨面积(TSBA)这一新型CT影像学指标,旨在探讨其与OA影像学严重程度的关系,并与JSW比较,测试其在单髁膝关节置换术(UKA)和全膝关节置换术(TKA)手术决策分类中的性能。
我们收集了182例行初次膝关节置换术患者(73例UKA,109例TKA)的临床、X线和CT数据。采用Kellgren-Lawrence(KL)分级系统对影像学严重程度进行评分。从3D CT重建模型中提取TSBA和JSW。我们使用独立样本t检验来研究TSBA与KL分级之间的关系,并采用二元逻辑回归来确定与TKA风险相关的因素。使用AUC评估TSBA、JSW和既定分类模型在区分UKA和TKA方面的准确性。
所有参数的组内和组间相关系数均大于0.966。KL 4级患者的TSBA明显大于KL 3级患者。与接受TKA风险相关的TSBA(AUC为0.708)优于最小/平均JSW(AUC为0.547/0.554)。在多变量分析中,内侧TSBA以及性别和膝关节协会膝关节评分成为独立的分类因素。手术决策复合模型的总体AUC为0.822。
胫骨软骨下骨面积是影像学严重程度的独立影像学指标,在晚期OA患者的UKA和TKA手术决策中优于JSW。