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计算机辅助系统在评估髋关节发育中的应用价值

Computer-Aided System Application Value for Assessing Hip Development.

作者信息

Jiang Yaoxian, Yang Guangyao, Liang Yuan, Shi Qin, Cui Boqi, Chang Xiaodan, Qiu Zhaowen, Zhao Xudong

机构信息

Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.

College of Information and Computer Engineering, Northeast Forestry University, Harbin, China.

出版信息

Front Physiol. 2020 Dec 1;11:587161. doi: 10.3389/fphys.2020.587161. eCollection 2020.

Abstract

PURPOSE

A computer-aided system was used to semiautomatically measure Tönnis angle, Sharp angle, and center-edge (CE) angle using contours of the hip bones to establish an auxiliary measurement model for developmental screening or diagnosis of hip joint disorders.

METHODS

We retrospectively analyzed bilateral hip x-rays for 124 patients (41 men and 83 women aged 20-70 years) who presented at the Affiliated Zhongshan Hospital of Dalian University in 2017 and 2018. All images were imported into a computer-aided detection system. After manually outlining hip bone contours, Tönnis angle, Sharp angle, and CE angle marker lines were automatically extracted, and the angles were measured and recorded. An imaging physician also manually measured all angles and recorded hip development, and Pearson correlation coefficients were used to compare computer-aided system measurements with imaging physician measurements. Accuracy for different angles was calculated, and the area under the receiver operating characteristic (AUROC) curve was used to represent the diagnostic efficiency of the computer-aided system.

RESULTS

For Tönnis angle, Sharp angle, and CE angle, correlation coefficients were 0.902, 0.887, and 0.902, respectively; the accuracies of the computer-aided detection system were 89.1, 93.1, and 82.3%; and the AUROC curve values were 0.940, 0.956, and 0.948.

CONCLUSION

The measurements of Tönnis angle, Sharp angle, and CE angle using the semiautomatic system were highly correlated with the measurements of the imaging physician and can be used to assess hip joint development with high accuracy and diagnostic efficiency.

摘要

目的

使用计算机辅助系统通过髋骨轮廓半自动测量托尼角(Tönnis角)、夏普角(Sharp角)和中心边缘(CE)角,以建立用于髋关节疾病发育筛查或诊断的辅助测量模型。

方法

我们回顾性分析了2017年和2018年在大连大学附属中山医院就诊的124例患者(41名男性和83名女性,年龄20 - 70岁)的双侧髋部X线片。所有图像均导入计算机辅助检测系统。在手动勾勒髋骨轮廓后,自动提取托尼角、夏普角和CE角的标记线,并测量和记录角度。一名影像科医生也手动测量了所有角度并记录髋关节发育情况,使用皮尔逊相关系数比较计算机辅助系统测量结果与影像科医生的测量结果。计算不同角度的准确性,并使用受试者操作特征(AUROC)曲线下面积来表示计算机辅助系统的诊断效率。

结果

对于托尼角、夏普角和CE角,相关系数分别为0.902、0.887和0.902;计算机辅助检测系统的准确性分别为89.1%、93.1%和82.3%;AUROC曲线值分别为0.940、0.956和0.948。

结论

使用半自动系统测量托尼角、夏普角和CE角与影像科医生的测量结果高度相关,可用于高精度和高诊断效率地评估髋关节发育情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1f2/7736091/75527dffdd6c/fphys-11-587161-g001.jpg

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