Evaluation of the value of shear wave elastography in differential diagnosis of benign and malignant breast lesions by logistic regression / 中华医学超声杂志（电子版）

ABSTRACT

Objective To obtain the elasticity value of solid breast lesions with supersonic shear wave elastrography (SWE) and apply the binary Logistic regression in order to evaluate the value of SWE in differential diagnosis of benign and malignant breast lesions. Methods SWE quantitative elastography was preformed in 91 breast lesions of 91 patients in Zhenghai Longsai Hospital to obtain the maximum and mean elasticity value (Emax, Emean). And receiver operating characteristic (ROC) curves were used to assess the diagnostic performance. A Logistic regression for the gray scale ultrasound and the elastic modulus was conducted with multiple variables including Emax, Emean, border, echo, form, calcification. Results Pathological examination showed 73 benign lesions and 18 malignant lesions. Emax and Emean of malignant lesions were obviously higher than those of benign lesions [(99.73±41.15) kPa vs (38.59±14.28) kPa, (61.45±24.88) kPa vs (23.46±11.44) kPa, t=-15.05,-14.12, both P=0.000]. The area under the ROC curve of Emax and Emean were 0.932 and 0.915. Taking 63.70 kPa as the threshold of Emax, the sensitivity was 77.8%and the speciifcity was 97.3%. Then taking 44.22 kPa as the threshold of Emean, the sensitivity was 83.3%and the speciifcity was 94.5%. The results of Logistic regression analysis showedthe 3 most effective variables were Emax, border of the lesions and Emean. Conclusions The multivariate analysis model of binary Logistic regression can select the valuable indexes of differential diagnosis of benign and malignant breast lesions. SWE plays an important role in differentiating benign and malignant lesions and it is valuable in clinical practice.