@article{Fu2022, 
author = {Zehui Fu and Siqi Wang and Jian Zhang and Yejun Lu and Xiaomin Mo and Ye He and Chong Wang and Hui Chen},
title = {Diagnostic Performance of Superb Microvascular Imaging for Breast Masses: A Systematic Review and Meta-analysis},
year = {2022},
journal = {Advanced Ultrasound in Diagnosis and Therapy},
volume = {6},
number = {3},
pages = {95-103},
keywords = {Breast, Superb microvascular imaging, Diagnosis, Meta-analysis},
url = {https://www.sciopen.com/article/10.37015/AUDT.2022.210028},
doi = {10.37015/AUDT.2022.210028},
abstract = {Objective   In the present study, we aimed to evaluate the diagnostic performance of superb microvascular imaging (SMI) for breast masses through a meta-analysis. Methods   PubMed, EMBASE, Cochrane Library, and Web of Science Core Collection databases, as well as the most comprehensive Chinese academic databases in medicine, such as China Biology Medicine Disc, China National Knowledge Infrastructure, and Wanfang Database, were systematically searched. All included studies used histopathological results as the reference standard. To assess the diagnostic performance, we calculated the pooled sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), diagnostic odds ratio (DOR), and the area under the curve (AUC). In addition, a subgroup meta-regression analysis was performed to investigate the heterogeneity. Results   Fourteen of 1,075 identified articles were included in the current review. The pooled sensitivity, specificity, LR+, LR-, and DOR for SMI were 0.85 (95% CI: 0.79-0.89), 0.80 (95% CI: 0.71-0.87), 4.3 (95% CI: 2.9-6.2), 0.19 (95% CI 0.14-0.26), and 22 (95% CI: 14-36), respectively. The AUC was 0.90 (0.87 - 0.92). Meta-regression showed that there were heterogeneities for sensitivity, but not for specificity. Conclusions   SMI had good sensitivity, specificity, and excellent diagnostic value in distinguishing benign breast masses from malignant masses and could potentially help select suspicious breast masses for surgery.}
}