Department of Trauma Surgery, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
Eur J Trauma Emerg Surg. 2022 Oct;48(5):4181-4188. doi: 10.1007/s00068-022-01959-2. Epub 2022 Mar 29.
Different classification systems have been developed for ankle fractures. In recent years, the posterior malleolus has gained in importance and led to computed tomography (CT)-based classification systems. The aim of the study was to analyse their reliability, fracture patterns and influence on treatment strategy.
Patients with a trimalleolar ankle fracture treated between 2011 and 2020 with preoperative radiographs and CT images were included. The blinded images were independently classified by three reviewers according to the AO/OTA, Herscovici, Bartoníček, Mason and Haraguchi classifications. The interobserver reliability was calculated by Fleiss' kappa (κ). CT images were analysed to determine the dimensions of the posterior malleolus fragments. Patient registries were reviewed regarding the treatment data.
A total of 193 patients were included. The AO/OTA classification showed almost perfect inter- and intraobserver reliability (Fleiss' κ = 0.86, 95% CI 0.82-0.90). Regarding the posterior malleolus, the Bartoníček classification demonstrated the highest reliability (Fleiss' κ = 0.78, 95% CI 0.73-0.83). The Herscovici classification only reached moderate reliability for medial malleolus fractures (Fleiss' κ = 0.59, 95% CI 0.54-0.65). There was a trend towards direct fixation of the posterior malleolus in the last 3 years of the observation period (OR: 2.49, 95% CI 1.03-5.99).
In trimalleolar ankle fractures, the AO/OTA classification is a reliable system to characterize the type of fracture, but it fails to provide solid information about the posterior malleolus. Nowadays, treatment recommendations for trimalleolar ankle fractures focus on the configuration of the posterior malleolus; therefore, the results of this study advocate the use of the Bartoníček classification as a reliable tool to guide treatment.
已经开发出不同的踝关节骨折分类系统。近年来,后踝的重要性不断增加,并导致了基于计算机断层扫描(CT)的分类系统。本研究的目的是分析其可靠性、骨折模式以及对治疗策略的影响。
纳入了 2011 年至 2020 年间接受三踝骨折切开复位内固定术治疗的患者,术前均拍摄 X 线片和 CT 图像。三位观察者独立对图像进行盲法分类,采用 AO/OTA、Herscovici、Bartoníček、Mason 和 Haraguchi 分类法。采用 Fleiss'kappa(κ)计算观察者间的可靠性。分析 CT 图像以确定后踝骨块的尺寸。回顾患者病历以获取治疗数据。
共纳入 193 例患者。AO/OTA 分类法显示出几乎完美的观察者间和观察者内可靠性(Fleiss'κ=0.86,95%CI 0.82-0.90)。对于后踝,Bartoníček 分类法的可靠性最高(Fleiss'κ=0.78,95%CI 0.73-0.83)。Herscovici 分类法仅对内侧踝骨折具有中等可靠性(Fleiss'κ=0.59,95%CI 0.54-0.65)。在观察期的最后 3 年,后踝直接固定有增加的趋势(OR:2.49,95%CI 1.03-5.99)。
在三踝骨折中,AO/OTA 分类法是一种可靠的骨折类型分类系统,但无法提供关于后踝的可靠信息。如今,三踝骨折的治疗建议侧重于后踝的形态;因此,本研究结果支持使用 Bartoníček 分类法作为可靠的治疗指导工具。