Holland Christopher T, Tse Shannon, Bateni Cyrus P, Chen Dillon, Lee Cassandra A
Department of Orthopaedic Surgery and Biomedical Engineering, Campbell Clinic Orthopaedics, University of Tennessee Health Science Center, Memphis, TN 38104, USA.
Department of Orthopaedic Surgery, University of California Davis, 3301 C Street, Suite 1600, Sacramento, CA 95816, USA.
J Clin Med. 2025 Jun 11;14(12):4160. doi: 10.3390/jcm14124160.
While magnetic resonance imaging (MRI) is commonly used to identify meniscal tears, intraoperative assessment typically dictates repairability. This study evaluated whether a simplified MRI-based scoring system could reliably predict meniscal repair versus meniscectomy. Patients who underwent meniscectomy or meniscal repair between 2010 and 2018 were retrospectively identified. Preoperative MRIs were independently reviewed in a blinded fashion by two radiologists and one orthopedic sports surgeon. Reviewers scored images based on four arthroscopic criteria for tear repairability, with one point awarded for each of the following criteria-(1) proximity within 4 mm of the meniscosynovial junction, (2) length > 10 mm, (3) presence of intact inner meniscal segment, and (4) >50% meniscal thickness. Tears scoring four points were considered repairable. Accuracy, sensitivity, and positive and negative predictive values were calculated against the actual procedure performed. Inter- and intraobserver reliability were evaluated using kappa statistics. The predictive performance of each individual criterion was also analyzed. A total of 202 meniscal tears were included (134 meniscectomies and 68 repairs). Reviewer accuracy in predicting repairability ranged from 48% to 76%. Intraobserver reliability was moderate to substantial (κ = 0.42-0.66), whereas interobserver reliability was poor to moderate (pairwise κ = 0.07-0.43; Fleiss' κ = 0.11). Analysis of individual MRI criteria demonstrated limited predictive value, with most criteria achieving less than 50% accuracy across reviewers. MRI-based prediction of meniscal repairability using arthroscopic criteria demonstrated limited accuracy and poor interobserver reliability. Overall predictive reliability remains insufficient for clinical decision-making. Further investigation, integrating advanced imaging techniques and artificial intelligence, may improve the preoperative assessment of meniscal repairability.
虽然磁共振成像(MRI)通常用于识别半月板撕裂,但术中评估通常决定了其可修复性。本研究评估了一种基于MRI的简化评分系统能否可靠地预测半月板修复与半月板切除术。回顾性确定了2010年至2018年间接受半月板切除术或半月板修复术的患者。两名放射科医生和一名骨科运动外科医生以盲法独立回顾术前MRI。 reviewers根据撕裂可修复性的四个关节镜标准对图像进行评分,以下每个标准得1分:(1)距半月板滑膜交界处4mm以内;(2)长度>10mm;(3)半月板内段完整;(4)半月板厚度>50%。得4分的撕裂被认为可修复。根据实际执行的手术计算准确性、敏感性以及阳性和阴性预测值。使用kappa统计评估观察者间和观察者内的可靠性。还分析了每个单独标准的预测性能。共纳入202例半月板撕裂(134例半月板切除术和68例修复术)。reviewers预测可修复性的准确性在48%至76%之间。观察者内可靠性为中度至高度(κ=0.42 - 0.66),而观察者间可靠性为低至中度(成对κ=0.07 - 0.43;Fleiss'κ=0.11)。对单个MRI标准的分析显示预测价值有限,大多数标准在所有reviewers中的准确性均低于50%。使用关节镜标准基于MRI预测半月板可修复性的准确性有限,观察者间可靠性较差。总体预测可靠性仍不足以用于临床决策。整合先进成像技术和人工智能的进一步研究可能会改善半月板可修复性的术前评估。