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利用术前CT成像预测股骨头骨骺滑脱的骨骺稳定性

Predicting epiphyseal stability of slipped capital femoral epiphysis with preoperative CT imaging.

作者信息

Fischer-Colbrie Megan E, Louer Craig R, Bomar James D, Hahn Peter, Edmonds Eric W, Pennock Andrew T, Upasani Vidyadhar V

机构信息

University of California, San Diego Medical Center, San Diego, USA.

University of North Carolina, Chapel Hill, USA.

出版信息

J Child Orthop. 2020 Feb 1;14(1):68-75. doi: 10.1302/1863-2548.14.190123.

Abstract

BACKGROUND

We analyzed preoperative CT scans of hips with slipped capital femoral epiphysis (SCFE) for characteristics that could be predictive of intraoperative epiphyseal stability and developed a set of imaging criteria for stable and unstable SCFE. We then compared this grading system with the Loder classification.

METHODS

We reviewed preoperative CT imaging to develop a SCFE stability classification system. Three orthopaedic surgeons used the classification system to grade stability on a series of SCFE hips. Kappa was used to evaluate intra- and interobserver reliability among the observers. A series of SCFE hips treated with open procedures in which intraoperative stability was determined under direct visualization was evaluated. Intraoperative stability was compared with stability ratings as determined by the CT classification system and the Loder classification system.

RESULTS

Interobserver reliability among our three observers was κ = 0.823 (95% confidence interval (CI) 0.414 to 1.0; p < 0.001). Intraobserver reliability was κ = 0.901 (95% CI 0.492 to 1.31; p < 0.001). In all, 27 hips were used in the comparison of intraoperative stability with the Loder and CT classification systems. CT-predicted stability exhibited 78% concordance with intraoperative stability. The sensitivity and specificity of CT-predicted stability was 75% and 82%, respectively, Loder sensitivity of 69% and specificity of 91%.

CONCLUSION

The CT evaluation method provided is easy to use and can help to improve the accuracy in determining preoperative epiphyseal stability, which may lead to improved treatment outcomes for this population.

LEVEL OF EVIDENCE

III.

摘要

背景

我们分析了患有股骨头骨骺滑脱(SCFE)的髋关节术前CT扫描,以寻找可预测术中骨骺稳定性的特征,并制定了一套稳定和不稳定SCFE的影像学标准。然后,我们将该分级系统与洛德分类法进行了比较。

方法

我们回顾术前CT影像以建立SCFE稳定性分类系统。三位骨科医生使用该分类系统对一系列SCFE髋关节的稳定性进行分级。kappa值用于评估观察者之间以及观察者自身的可靠性。评估了一系列接受开放手术治疗的SCFE髋关节,术中在直视下确定稳定性。将术中稳定性与CT分类系统和洛德分类系统确定的稳定性评级进行比较。

结果

我们三位观察者之间的观察者间可靠性为κ = 0.823(95%置信区间(CI)0.414至1.0;p < 0.001)。观察者自身可靠性为κ = 0.901(95% CI 0.492至1.31;p < 0.001)。总共27例髋关节用于术中稳定性与洛德和CT分类系统的比较。CT预测的稳定性与术中稳定性的一致性为78%。CT预测稳定性的敏感性和特异性分别为75%和82%,洛德分类法的敏感性为69%,特异性为91%。

结论

所提供的CT评估方法易于使用,有助于提高术前确定骨骺稳定性的准确性,这可能会改善该人群的治疗效果。

证据水平

III级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf66/7043117/4240505a4003/jco-14-68-g0001.jpg

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