Department of Radiology, Yantai Hospital of Traditional Chinese Medicine, Shandong 264000, China.
Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China.
Clin Radiol. 2022 Sep;77(9):655-663. doi: 10.1016/j.crad.2022.04.015. Epub 2022 May 28.
To analyse the diagnostic value of magnetic resonance imaging (MRI)-based radiomics for triple-negative breast cancer (TNBC) by conducting a meta-analysis.
A comprehensive search was performed to identify relevant English articles concerning the MRI-based radiomics diagnosis of TNBC (from the date of database establishment to November 2021). The pooled sensitivity (SEN), pooled specificity (SPE), positive likelihood ratio (LR+), negative likelihood ratio (LR-), diagnostic odds ratio (DOR) with 95% confidence interval (CI), summary receiver operating characteristic (SROC) curve and area under the curve (AUC) for the accuracy of MRI-based radiomics in the diagnosis of TNBC were calculated. The I test was used to assess heterogeneity and the source of heterogeneity was investigated by performing a meta-regression analysis. Publication bias was assessed using Deeks' funnel plot asymmetry test.
Six studies (1,223 patients) met the eligibility criteria. The pooled sensitivity and specificity were 0.72 and 0.91, respectively. The LR+ of the malignant ultrasonic features was 8.0, and the LR- was 0.31, revealing that MRI-based radiomics exhibited excellent ability to confirm or exclude TNBC. SROC curves showed that the AUC of the MRI-based radiomics diagnosis of TNBC was 0.88, indicating that MRI-based radiomics has good diagnostic value for TNBC.
MRI radiomics is an excellent diagnostic tool with high specificity for the diagnosis of TNBC.
通过荟萃分析评估基于磁共振成像(MRI)的放射组学对三阴性乳腺癌(TNBC)的诊断价值。
全面检索了关于 MRI 基于放射组学诊断 TNBC 的相关英文文献(从数据库建立日期到 2021 年 11 月)。计算基于 MRI 的放射组学诊断 TNBC 的汇总敏感度(SEN)、汇总特异度(SPE)、阳性似然比(LR+)、阴性似然比(LR-)、诊断优势比(DOR)及其 95%置信区间(CI)、汇总受试者工作特征(SROC)曲线和曲线下面积(AUC)。采用 I 检验评估异质性,并通过进行荟萃回归分析来探讨异质性的来源。采用 Deeks 漏斗图不对称检验评估发表偏倚。
共有 6 项研究(1223 例患者)符合纳入标准。汇总敏感度和特异度分别为 0.72 和 0.91。恶性超声特征的 LR+为 8.0,LR-为 0.31,表明 MRI 基于放射组学具有出色的能力来确认或排除 TNBC。SROC 曲线表明,MRI 基于放射组学诊断 TNBC 的 AUC 为 0.88,表明 MRI 基于放射组学对 TNBC 具有良好的诊断价值。
MRI 放射组学是一种具有高特异性的优秀诊断工具,可用于诊断 TNBC。