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首页> 外文期刊>The Journal of foot and ankle surgery: official publication of the American College of Foot and Ankle Surgeons >Interobserver and Intraobserver Reliability Assessment of Calcaneal Fracture Classification Systems
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Interobserver and Intraobserver Reliability Assessment of Calcaneal Fracture Classification Systems

机译:can骨骨折分类系统的观察者间和观察者内可靠性评估

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The aim of the present study was to assess the reliability of commonly used intra-articular calcaneal fracture classification systems and to compare them with the newer AO Integral Classification of Injuries (ICI) system. Forty computed tomography and radiographic images of 40 intra-articular calcaneal fractures were reviewed independently by 3 reviewers on 2 separate occasions and classified according to the Essex-Lopresti, Atkins, Zwipp and Tscherne, Sanders, and AO-ICI classification systems. The reviewers were unaware of the patients' identity and all aspects of clinical care. The data were analyzed using kappa (κ) statistics to assess the intra- and interobserver reliability. The κ values were calculated for Essex-Lopresti (κ = 0.85 intraobserver, κ = 0.78 interobserver), Atkins (κ = 0.42 intraobserver, κ = 0.73 interobserver), Zwipp and Tscherne (κ = 0.40 intraobserver, κ = 0.47 interobserver), Sanders (κ = 0.31 intraobserver, κ = 0.35 interobserver), and AO-ICI (κ = 0.41 intraobserver, κ = 0.33 interobserver). The AO-ICI classification system had levels of reproducibility similar to that of the Sanders classification, currently the most widely used system. The Essex-Lopresti classification demonstrated improved reliability compared with that reported in previous studies. This can be attributed to using sagittal computed tomography images, in addition to the originally described plain radiographs, for assessment. This improvement is relevant because of its accepted prognostic predictability.
机译:本研究的目的是评估常用的关节内跟骨骨折分类系统的可靠性,并将其与更新的AO损伤综合分类(ICI)系统进行比较。由3位审稿人在2个不同的场合分别对40处跟骨关节内骨折的40台计算机断层扫描和X线照片进行了分类,并根据Essex-Lopresti,Atkins,Zwipp和Tscherne,Sanders和AO-ICI分类系统进行了分类。审阅者没有意识到患者的身份以及临床护理的各个方面。使用kappa(κ)统计数据对数据进行分析,以评估观察者内部和观察者之间的可靠性。计算Essex-Lopresti(κ= 0.85观察者内,κ= 0.78观察者间),Atkins(κ= 0.42内观察者,κ= 0.73内观察者),Zwipp和Tscherne(κ= 0.40内观察者,κ= 0.47观察者),Sanders的κ值(κ= 0.31观察者内,κ= 0.35观察者间)和AO-ICI(κ= 0.41观察者内,κ= 0.33观察者)。 AO-ICI分类系统的可重复性水平与目前使用最广泛的系统Sanders分类的相似。与以前的研究相比,Essex-Lopresti分类显示出更高的可靠性。这可以归因于除了最初描述的平片之外,还使用矢状计算机断层摄影图像进行评估。由于其可接受的预后可预测性,因此这种改善是有意义的。

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