The School of Medicine, Nankai University, Tianjin, PR China.
Department of Orthopaedics, The Third Hospital of Hebei Medical University, Shijiazhuang, PR China.
Orthop Surg. 2022 Sep;14(9):2307-2316. doi: 10.1111/os.13375. Epub 2022 Aug 4.
Edelson classification is a 3D classification of proximal humeral fractures, but there is a scarcity of application of this classification in large samples, and the accuracy of classification was also not testified. The objective of this research was to verify whether a revised Edelson classification produces satisfactory agreement for proximal humeral fracture classification in adult patients.
A total of 827 proximal humeral fractures (304 male and 520 female patients, 58.0 ± 16.2 years) were found retrospectively from January 2014 to December 2019, and classified according to the traditional and newly proposed Edelson classification. The three-dimensional CT images were processed, rotated and visualized within software. Five shoulder surgeons classified each fracture. After data collection, radiographic classifications results were compared by inter- and intraobserver analysis with the method of weighted kappa coefficients. Fracture classification based on Edelson and revised Edelson classification was presented and compared.
The mean k value for the interobserver reliability was 0.748 (range, 0.583 to 0.958) compared with Edelson classification (0.548, range, 0.48 to 0.635), indicating satisfactory agreement. The mean k value for intraobserver reliability was 0.906 (range, 0.823 to 0.943) compared with Edelson classification (0.762, range, 0.666 to 0.808), indicating excellent agreement when using the newly revised Edelson classification. The mechanism was categorized as the shoulder being in a position of forward flexion, abduction, and internal rotation in Edelson I-IV and bicipital fractures. For the greater tuberosity fracture, the mechanism was classified into two mechanisms based on the presence of a combined dislocation. Bicipital groove fracture is a commonly observed fracture pattern, and included in the revised Edelson classification.
The revised Edelson classification proposed was more in line with the injury mechanism of the fracture, was beneficial in identifying more fracture types such as bicipital groove fracture, and verified to be a good proximal humeral fracture classification with good reliability compared with the traditional Edelson classification.
Edelson 分类法是一种对肱骨近端骨折的 3D 分类,但在大量样本中应用较少,且分类准确性也未经证实。本研究旨在验证修订后的 Edelson 分类法是否能为成人肱骨近端骨折分类提供满意的一致性。
回顾性分析 2014 年 1 月至 2019 年 12 月期间共 827 例肱骨近端骨折(男 304 例,女 520 例,58.0±16.2 岁),根据传统和新提出的 Edelson 分类法进行分类。对三维 CT 图像进行处理,在软件中旋转和可视化。由 5 名肩关节外科医生对每例骨折进行分类。数据收集后,采用加权 Kappa 系数对放射学分类结果进行组内和组间分析比较。基于 Edelson 分类法和修订后的 Edelson 分类法进行骨折分类,并进行比较。
与 Edelson 分类法(0.548,范围为 0.48 至 0.635)相比,观察者间可靠性的平均 K 值为 0.748(范围为 0.583 至 0.958),表明一致性较好。与 Edelson 分类法(0.762,范围为 0.666 至 0.808)相比,观察者内可靠性的平均 K 值为 0.906(范围为 0.823 至 0.943),表明采用新修订的 Edelson 分类法具有极好的一致性。Edelson I-IV 型和二头肌骨折中,肩关节处于前屈、外展和内旋位。对于大结节骨折,根据是否存在合并脱位,将其机制分为两种类型。二头肌沟骨折是一种常见的骨折模式,包含在修订后的 Edelson 分类中。
提出的修订版 Edelson 分类法更符合骨折的损伤机制,有助于识别更多的骨折类型,如二头肌沟骨折,与传统的 Edelson 分类法相比,具有良好的可靠性,是一种较好的肱骨近端骨折分类方法。