Departments of Radiology, Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.
Departments of Research Center, Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.
J Ultrasound Med. 2019 Oct;38(10):2631-2641. doi: 10.1002/jum.14964. Epub 2019 Feb 6.
To compare the accuracy of homodyned K quantitative ultrasound (QUS) with that of B-mode and Doppler ultrasound imaging for discriminating between lateral epicondylosis (LE) and asymptomatic elbows.
This prospective study received Institutional Review Board approval, and participants provided written informed consent. Between February 2015 and March 2017, 30 LE elbows in 27 patients and 24 asymptomatic elbows in 13 volunteers underwent B-mode, Doppler, and radiofrequency ultrasound imaging of the common extensor tendon (CET) and radial collateral ligament (RCL). Two readers classified the elbows independently on the basis of a review of B-mode and Doppler images. The global and local estimates of QUS parameters (μ , 1/α, and k) were computed in the CET and CET-RCL regions, respectively, and the area of each region was calculated. A random-forest classifier identified the most discriminating 3-parameter combination: CET global estimate of 1/α, CET-RCL area, and local estimate of k.
The patients with LE had a mean age of 50 years (range, 31-66 years), and the volunteers had a mean age of 50 years (range, 37-57 years). The area under the receiver operating characteristic curve, sensitivity, and specificity of reader 1, reader 2, and the QUS-based model were 0.80 (95% confidence interval [CI], 0.66-0.95), 0.72 (95% CI, 0.56-0.89), and 0.88 (95% CI, 0.72-1.04); 0.79 (95% CI, 0.66-0.93), 0.65 (95% CI, 0.47-0.82), and 0.84 (95% CI, 0.67-1.01); and 0.82 (95% CI, 0.80-0.85), 0.73, and 0.79, respectively.
An automated, computer-based QUS technique diagnosed LE with accuracy of 0.82. This technique could provide quantitative biomarkers for the characterization of LE disease.
比较同调 K 定量超声(QUS)与 B 型和多普勒超声成像在鉴别外侧肱骨(LE)和无症状肘部方面的准确性。
本前瞻性研究获得机构审查委员会批准,参与者提供书面知情同意书。在 2015 年 2 月至 2017 年 3 月期间,27 名患者的 30 个 LE 肘部和 13 名志愿者的 24 个无症状肘部接受了 CET 和桡侧副韧带(RCL)的 B 型、多普勒和射频超声成像。两名读者根据 B 型和多普勒图像的回顾独立对肘部进行分类。分别在 CET 和 CET-RCL 区域计算 QUS 参数(μ、1/α和 k)的全局和局部估计值,并计算每个区域的面积。随机森林分类器确定了最具鉴别力的 3 个参数组合:CET 全局估计值 1/α、CET-RCL 面积和局部估计值 k。
LE 患者的平均年龄为 50 岁(范围 31-66 岁),志愿者的平均年龄为 50 岁(范围 37-57 岁)。读者 1、读者 2 和基于 QUS 的模型的受试者工作特征曲线下面积、敏感性和特异性分别为 0.80(95%置信区间[CI],0.66-0.95)、0.72(95% CI,0.56-0.89)和 0.88(95% CI,0.72-1.04);0.79(95% CI,0.66-0.93)、0.65(95% CI,0.47-0.82)和 0.84(95% CI,0.67-1.01);和 0.82(95% CI,0.80-0.85)、0.73 和 0.79。
自动、基于计算机的 QUS 技术诊断 LE 的准确率为 0.82。该技术可为 LE 疾病的特征提供定量生物标志物。