Diagnostic Accuracy of Echo Envelope Statistical Modeling Compared to B-Mode and Power Doppler Ultrasound Imaging in Patients With Clinically Diagnosed Lateral Epicondylosis of the Elbow

被引:11
作者
Bureau, Nathalie J. [1 ,3 ]
Destrempes, Francois [3 ]
Acid, Souad [4 ]
Lungu, Eugen [1 ]
Moser, Thomas [1 ,3 ]
Michaud, Johan [2 ]
Cloutier, Guy [3 ]
机构
[1] Ctr Hosp Univ Montreal, Dept Radiol, 1000 Rue St Denis, Montreal, PQ H2X 0C1, Canada
[2] Ctr Hosp Univ Montreal, Dept Med, Montreal, PQ, Canada
[3] Ctr Hosp Univ Montreal, Res Ctr, Montreal, PQ, Canada
[4] Catholic Univ Louvain, Clin Univ St Luc, Dept Radiol, Brussels, Belgium
基金
加拿大自然科学与工程研究理事会;
关键词
elbow; sensitivity; specificity; statistical models; tendons; ultrasound; TENDON; PAIN; US;
D O I
10.1002/jum.14964
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Objectives-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. Methods-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 (mu n, 1/a, 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/a, CET-RCL area, and local estimate of k. Results-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. Conclusions-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.
引用
收藏
页码:2631 / 2641
页数:11
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