Professor and Chair, Department of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX.
Assistant Professor, Department of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX; Assistant Professor, Department of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, TX.
J Foot Ankle Surg. 2021 May-Jun;60(3):432-435. doi: 10.1053/j.jfas.2020.03.003. Epub 2021 Feb 3.
The purpose of this study was to assess the intra- and inter-reader reliability of the 2 Charcot neuroarthropathy classifications (Sanders-Frykberg and Brodsky-Trepman), as well as Eichenholtz staging. We hypothesized that the inter-reader reliability, with respect to these 3 classification systems, would be moderate at best. Digital radiographic images were organized in a digital slide presentation without clinical information. All 5 reviewers underwent a standard training session administered by the principal investigator, reviewing 5 cases of Charcot neuroarthropathy. Images of 55 cases of Charcot neuroarthropathy and 5 normal cases were distributed to each of the 5 physicians electronically, who independently rated all 60 cases according to the 3 classification systems. The 95% confidence interval of the intraclass correlation coefficient estimate for Sanders-Frykberg was 0.9601 to 0.9833 at week 0 and 0.9579 to 0.9814 at week 8, which can be regarded as "excellent" reliability. For Trepman-Brodsky, the 95% confidence interval of the intraclass correlation coefficient estimate was 0.8463 to 0.9327 at week 0 and 0.8129 to 0.9226 at week 8, which can be regarded as "good" to "excellent" reliability. For Eichenholtz, the 95% confidence interval of the intraclass correlation coefficient estimate was 0.6841 to 0.8640 and 0.6931 to 0.8730 at weeks 0 and 8, respectively, which can be regarded as "moderate" to "good" reliability. The classification systems of Charcot neuroarthropathy are an important tool for communication among physicians. Based on the results at our institution, the Sanders-Frykberg classification exhibited the best inter-reader performance. The Trepman-Brodsky classification exhibited good to excellent reliability as well. The intraclass correlation coefficient of the Eichenholtz classification was moderate to good.
本研究旨在评估 2 种夏科氏神经关节病分类(桑德斯-弗莱伯格和布罗德斯克-特雷普曼)以及埃申霍尔特分期的读者内和读者间可靠性。我们假设,这 3 种分类系统的读者间可靠性最多为中等。数字射线照相图像以无临床信息的数字幻灯片形式组织。所有 5 位审阅者都参加了由主要研究者进行的标准培训课程,审阅了 5 例夏科氏神经关节病病例。夏科氏神经关节病 55 例和正常 5 例的图像分别以电子方式分发给 5 位医生,他们根据 3 种分类系统独立评估了所有 60 例。桑德斯-弗莱伯格分类在第 0 周的组内相关系数估计值的 95%置信区间为 0.9601 至 0.9833,第 8 周为 0.9579 至 0.9814,可视为“优秀”可靠性。对于特雷普曼-布罗德斯克分类,第 0 周的组内相关系数估计值的 95%置信区间为 0.8463 至 0.9327,第 8 周为 0.8129 至 0.9226,可视为“良好”至“优秀”可靠性。对于埃申霍尔特分期,第 0 周和第 8 周的组内相关系数估计值的 95%置信区间分别为 0.6841 至 0.8640 和 0.6931 至 0.8730,可视为“中等”至“良好”可靠性。夏科氏神经关节病的分类系统是医生之间交流的重要工具。根据我们机构的结果,桑德斯-弗莱伯格分类的读者间表现最佳。特雷普曼-布罗德斯克分类也表现出良好到优秀的可靠性。埃申霍尔特分期的组内相关系数为中等到良好。