Chan Chloe Xiaoyun, Song Jun, Woo Chin Yee, Lam Kai Yet, Puhaindran Mark Edward, Ning Bo, Hui Hoi Po James
Department of Orthopaedic Surgery, National University Hospital, National University Health System (NUHS), Singapore, Singapore.
Department of Paediatric Orthopaedic Surgery, Children's Hospital of Fudan University, Shanghai, China.
J Hand Surg Am. 2025 Aug;50(8):1006.e1-1006.e10. doi: 10.1016/j.jhsa.2024.07.010. Epub 2024 Aug 22.
The objective of this study was to evaluate the Masada and Jo classifications for clinical use in patients with forearm deformity caused by hereditary multiple osteochondroma and propose a new classification system that is all-inclusive and can guide clinical management.
A retrospective review of 275 forearms was performed. A split-sample approach was used, where 138 forearms were analyzed to create a new classification, which was then validated on the remaining 137 forearms. Radiographs were reviewed to determine the number and location of osteochondromas and the presence of radial head dislocation (RHD) and to measure radiographic parameters. Multivariable logistic regression analysis was performed to identify radiological parameters associated with RHD.
According to the Masada and Jo classifications, 95 of 275 forearms (34.5%) were unclassifiable. Analyses of the split group (n = 138) revealed 42 forearms with RHD. All these had distal ulna lesions, qualifying as the greatest associated factor for RHD. Further subgroup multivariable logistic regression analysis of forearms with distal ulna lesions identified radiological parameter proportional ulna length as a statistically significant association of RHD, qualifying as "at-risk" criteria. The area under the receiver operating characteristic curve for proportional ulna length was 0.89, with a receiver operating characteristic-derived ideal value of ≤ 0.95 (sensitivity 0.86 and specificity 0.86).
We proposed a new classification system stratified into three groups-high, moderate, and low-risk of RHD-based on the identified factors associated with RHD. Type 1 comprises forearms with distal ulna osteochondromas-subdivided into type 1A (high-risk), where forearms meet the at-risk criteria for RHD and type 1B (moderate-risk), where forearms do not meet the at-risk criteria. Type 2 (low-risk) comprises forearms without distal ulna osteochondromas.
Our classification system addresses the limitations of existing classifications by risk stratifying forearms into three groups-high, moderate, and low-risk of RHD.
本研究的目的是评估马萨达(Masada)分类法和乔(Jo)分类法在遗传性多发性骨软骨瘤所致前臂畸形患者临床应用中的效果,并提出一种全面且能指导临床管理的新分类系统。
对275例前臂进行回顾性研究。采用拆分样本法,其中138例前臂用于分析以创建新分类,然后在其余137例前臂上进行验证。回顾X线片以确定骨软骨瘤的数量和位置、桡骨头脱位(RHD)情况,并测量影像学参数。进行多变量逻辑回归分析以确定与RHD相关的影像学参数。
根据马萨达分类法和乔分类法,275例前臂中有95例(34.5%)无法分类。对拆分组(n = 138)的分析显示有42例前臂存在RHD。所有这些前臂均有尺骨远端病变,这被认为是RHD的最大相关因素。对有尺骨远端病变的前臂进行进一步亚组多变量逻辑回归分析,确定影像学参数尺骨比例长度与RHD存在统计学显著关联,可作为“风险”标准。尺骨比例长度的受试者工作特征曲线下面积为0.89,受试者工作特征衍生理想值≤0.95(敏感性0.86,特异性0.86)。
我们基于确定的与RHD相关的因素,提出了一种新的分类系统,分为三组——RHD高风险、中风险和低风险。1型包括有尺骨远端骨软骨瘤的前臂——再细分为1A型(高风险),即前臂符合RHD风险标准;1B型(中风险),即前臂不符合风险标准。2型(低风险)包括没有尺骨远端骨软骨瘤的前臂。
我们的分类系统通过将前臂按RHD风险分为高、中、低三组,解决了现有分类法的局限性。