医学
髁突
股骨髁
接收机工作特性
股骨
核医学
截骨术
口腔正畸科
曼惠特尼U检验
股骨颈
解剖
外科
内科学
骨质疏松症
软骨
作者
Jiaxing Chen,Baoshan Yin,Jinjiang Yao,Yunlong Zhou,Hua Zhang,Jian Zhang,Aiguo Zhou
标识
DOI:10.1007/s00167-022-07016-0
摘要
Abstract Purpose To verify whether femoral anteversion measured by the surgical transepicondylar axis (S‐FA) is a reliable parameter for evaluating femoral rotational deformities and to provide an indication for derotational distal femoral osteotomy (DDFO) in patients with patellar dislocation. Methods Ninety patients with recurrent patellar dislocation and 90 healthy individuals were enrolled. The S‐FA, the femoral anteversion measured by posterior condylar reference line (P‐FA), the length of posterior femoral condyles, and the posterior condylar angle (PCA) were assessed by CT images. The unpaired t test and Pearson correlation analysis were conducted. Receiver operating characteristic curves and the area under the curve (AUC) were used to evaluate the diagnostic capacity of the parameters. The pathological value of the measurements was determined, and a binary regression model was established. Results The S‐FA and P‐FA were greater in the study group (14.2 ± 7.7° and 19.7 ± 7.3°, respectively) than in the control group (7.2 ± 8.0° and 12.2 ± 8.2°, respectively) ( P < 0.001). The lateral/posterior condyle was shorter in patients with patellar dislocation (21.2 ± 2.5 mm) than in healthy individuals (23.5 ± 2.7 mm) ( P = 0.001). The P‐FA was correlated with PCA in the study group ( P < 0.001). The S‐FA and P‐FA had AUCs of 0.734 and 0.767 for patellar dislocation, respectively. The pathological values of the S‐FA and P‐FA were 20.4° and 25.8°, respectively. The S‐FA revealed a significant OR of 10.47 ( P = 0.014) for patellar dislocation. Conclusion The S‐FA is a reliable parameter for identifying femoral rotational deformities in patients with patellar dislocation. DDFO is recommended when a pathological S‐FA (> 20.4°) is presented. Level of evidence Retrospective cohort study (diagnostic), level II.
科研通智能强力驱动
Strongly Powered by AbleSci AI