There is increasing clinical requirement for early and accurate ultrasound diagnosis of rotator cuff tears (RCTs). A method based on non-linear statistical analysis was proposed for the detection of RCTs using ultrasound radiofrequency (RF) signals. One hundred fifty-two patients with shoulder pain were first examined with ultrasound and then diagnosed with magnetic resonance imaging (MRI) as the ground truth. By comparison of the region of interest (ROI) with a part of the supraspinatus with no pathologic change part in the same RF signal frame, the relative P_ks value (viz., rP_ks value) was evaluated to quantify the pathophysiologic changes. The results indicated that the rP_ks values of all RCTs are <0.7, and the accuracy, sensitivity and specificity of the proposed method can reach 97.5%, 100% and 91.4%, respectively. This computer-aided method was found to perform better diagnostic than the results reported by an experienced radiologist (accuracy = 75.7%, sensitivity = 72.6%, and specificity = 85.7%). The high sensitivity advantage of this method indicates that the prospects for its application in the computer-aided diagnosis of RCTs are good.

对肩袖撕裂 (RCT) 的早期和准确超声诊断的临床需求日益增加。提出了一种基于非线性统计分析的方法，用于利用超声射频 (RF) 信号检测 RCT。152 名肩痛患者首先接受了超声检查，然后通过磁共振成像 (MRI) 作为基本事实进行了诊断。通过将感兴趣区域（ROI）与同一RF信号帧中没有病理变化的冈上肌部分进行比较，评估相对P _ks值（即，r P _ks值）以量化病理生理变化。结果表明，r P _ks所有RCT的值均<0.7，所提方法的准确度、灵敏度和特异性分别达到97.5%、100%和91.4%。发现这种计算机辅助方法比经验丰富的放射科医生报告的结果具有更好的诊断效果（准确度 = 75.7%，灵敏度 = 72.6%，特异性 = 85.7%）。该方法灵敏度高的优势表明其在RCTs的计算机辅助诊断中的应用前景良好。