What shear wave elastography parameter best differentiates breast cancer and predicts its histologic aggressiveness?

Abstract

This study aimed to identify useful shear wave elastography (SWE) parameters for differentiating breast cancer and predicting associated immunohistochemical factors and subtypes. Methods: From November 2018 to February 2019, a total of 211 breast lesions from 190 patients who underwent conventional breast ultrasonography and SWE were included. The Breast Imaging, Reporting and Data System categories and qualitative and quantitative SWE parameters for each lesion were obtained. Pathologic results including immunohistochemical factors were evaluated. The diagnostic performance of each parameter and its correlation with histological characteristics, immunohistochemical factors, and subtypes of breast cancer were analyzed using analysis of variance, the independent t test, the Fisher exact test, logistic regression analysis, and the DeLong method. Results: Among 211 breast lesions, 82 were malignant, and 129 were benign. Of the SWE parameters, Emax showed the highest area under the curve (AUC) for differentiating malignant from benign lesions (AUC, 0.891; cut-off>50.85). Poor tumor differentiation and progesterone receptor-negativity were correlated with higher SDmean and Emax (P<0.05). Ki-67-positive breast cancer showed higher SDmean and a heterogeneous color distribution (P<0.05). Ki-67 and cytokeratin 5/6-positive breast cancers showed higher Emax/Efat ratios (P<0.05). Luminal B, human epidermal growth factor receptor 2-enriched, and triple-negative (non-basal) subtypes showed somewhat higher SDmean values than the luminal A and triple-negative (basal) subtypes (P=0.028). Conclusion: Emax is a reliable parameter for differentiating malignancies from benign breast lesions. In addition, high stiffness and SDmean values in tumors measured on SWE could be used to predict poorly differentiated, progesterone receptor-negative, or Ki-67-positive breast cancer.

Evaluation of diagnostic efficacy of multimode ultrasound in BI-RADS 4 breast neoplasms and establishment of a predictive model

“…For quantitative analysis, malignant neoplasms had higher values. In 2D-SWE, eEmax (sensitivity: 86.4; specificity: 96.3) and eEratio (sensitivity: 81.8; specificity: 95.1) showed the best performance, consistent with previous studies ( 5 , 10 , 11 ). In color images, the neoplasm showed a hard ring sign significantly indicating malignancy.…”

Meme kanserinde strain elastografi ile histopatolojik parametreler arasındaki ilişki

“…In the same study, it was shown that there were significant correlations between SWE stiffness rates and lymphovascular invasion, lymph node metastasis, and histological grade. In the study by Kim et al, it was observed that lesions with negative PR and high Ki-67 proliferation index had high stiffness rates, as obtained with SWE 23 . Similarly, Gu et al showed significant correlations between lymph node metastasis, histological grade, and SWE stiffness rates.…”

Quantitative assessment of the aging corpus cavernosum by shear wave elastography

“…20 21 This aging process applies to the penile CC and results in a decline in erectile function. 8 9 10 SWE is a noninvasive method to measure differences in tissue structure, and it is widely used in the differential diagnosis of breast, 22 prostate, 23 and liver 24 diseases. In the current study, we used SWE to evaluate the tissue structure of the CC.…”