文献类型：期刊文献

英文题名：Imaging Features Derived From Dynamic Contrast-Enhanced Magnetic Resonance Imaging to Differentiate Malignant From Benign Breast Lesions: A Systematic Review and Meta-Analysis

作者：Zhang, Jie[1];Wang, Lin[1];Liu, Hai-Feng[2]

第一作者：张杰

通信作者：Liu, HF[1]

机构：[1]Gansu Univ Chinese Med, Affiliated Hosp, Dept Radiol, Lanzhou, Gansu, Peoples R China;[2]Soochow Univ, Affiliated Hosp 3, Dept Radiol, 185 Juqian ST, Changzhou 213003, Jiangsu, Peoples R China

第一机构：甘肃中医药大学第二附属医院

通信机构：[1]corresponding author), Soochow Univ, Affiliated Hosp 3, Dept Radiol, 185 Juqian ST, Changzhou 213003, Jiangsu, Peoples R China.

年份：2022

卷号：46

期号：3

起止页码：383

外文期刊名：JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY

收录：;EI(收录号：20234915163547);Scopus(收录号：2-s2.0-85130025168);WOS:【SCI-EXPANDED(收录号:WOS:000794011800010)】；

基金：This work was supported by Youth Project of Changzhou Health Commission (QN202022); Young Talent Development Plan of Changzhou Health Commission (CZQM2021005).

语种：英文

外文关键词：imaging feature; dynamic contrast-enhanced magnetic resonance imaging; breast lesion; meta-analysis

摘要：The aim of this study is to explore the accuracy of individual imaging features derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating malignant from benign breast lesions. Materials and Methods The PubMed, Web of Science, Embase, and the Cochrane Library databases were searched up to January 2021 to identify original studies that investigated the accuracy of individual DCE-MRI features in differentiating malignant from benign breast lesions. Pooled sensitivity, specificity, and area under the curve were calculated by STATA software based on the data extracted from included studies. Moreover, quality assessment, subgroup analysis, and publication bias evaluation were performed. Results Twenty-nine studies comprising 2976 patients and 3365 suspicious breast lesions were included. Malignant breast lesions tended to present irregular shapes (83.59%), noncircumscribed margins (85.50%), mass enhancement (52.31%), heterogeneous internal enhancement (71.72%), and type II or III time intensity curve (TIC) patterns (91.17%), showing significant differences compared with benign breast lesions (P < 0.05). For differentiating malignant from benign breast lesions, the area under the curve values of irregular shape, noncircumscribed margin, mass enhancement, heterogeneous internal enhancement, and type II or III TIC patterns were 0.79 (0.76-0.83), 0.87 (0.84-0.90), 0.63 (0.58-0.67), 0.82 (0.78-0.85), and 0.89 (0.86-0.92), respectively. Conclusions Imaging features derived from DCE-MRI, especially TIC patterns, are important for diagnosing and differentiating malignant from benign breast lesions.