Liu Qian, Ma Yunqing, Wu Bo, Zhang Yao, Qi Jingwen, Mei Yuqian
School of Medical Imaging, North Sichuan Medical College, Nanchong, Sichuan 637100, P. R. China.
School of Medical Imaging, Mudanjiang Medical University, Mudanjiang, Heilongjiang 157001, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Jun 25;42(3):592-600. doi: 10.7507/1001-5515.202404045.
The orientation of the acetabular cup in hip joint anteroposterior radiograph is a key factor in evaluating the postoperative outcomes of total hip arthroplasty (THA). Currently, measurement of the acetabular cup anteversion angle primarily relies on manual drawing of auxiliary lines by orthopedic surgeons and calculations using scientific calculators. This study proposes an automated computer-aided measurement method for the acetabular cup anteversion angle based on hip joint anteroposterior radiograph. The proposed method segments hip prosthesis images using an improved Otsu algorithm, identifies feature points at the acetabular cup opening by combining circle-fitting theory and the cup's geometric characteristics, and fits an ellipse to the cup opening to calculate the anteversion angle. A total of 104 hip joint anteroposterior radiographs, including 71 right-sided and 81 left-sided prostheses, were analyzed. Two orthopedic surgeons independently measured the postoperative anteversion angles, and the results were compared with computer-generated measurements for correlation analysis. Spearman and Pearson correlation analyses demonstrated significant correlations between the proposed method and manual measurements for both the right group ( = 0.795, < 0.01) and the left group ( = 0.859, < 0.01). This method provides a reliable reference for orthopedic surgeons to assess postoperative prognosis.
髋关节前后位X线片中髋臼杯的方向是评估全髋关节置换术（THA）术后效果的关键因素。目前，髋臼杯前倾角的测量主要依靠骨科医生手动绘制辅助线并使用科学计算器进行计算。本研究提出了一种基于髋关节前后位X线片的髋臼杯前倾角自动计算机辅助测量方法。该方法使用改进的大津算法分割髋关节假体图像，结合圆拟合理论和髋臼杯的几何特征识别髋臼杯开口处的特征点，并对杯口拟合椭圆以计算前倾角。共分析了104张髋关节前后位X线片，包括71个右侧假体和81个左侧假体。两名骨科医生独立测量术后前倾角，并将结果与计算机生成的测量结果进行相关性分析。Spearman和Pearson相关性分析表明，该方法与手动测量在右侧组（r = 0.795，P < 0.01）和左侧组（r = 0.859，P < 0.01）中均具有显著相关性。该方法为骨科医生评估术后预后提供了可靠的参考。
