南方医科大学学报2025，Vol.45Issue(9)：1809-1817,9.DOI:10.12122/j.issn.1673-4254.2025.09.01
基于乳腺影像报告和数据系统的DWI和T2WI形态评估对乳腺病变的诊断价值
Diagnostic value of morphological features of breast lesions on DWI and T2WI assessed using Breast Imaging Reporting and Data System lexicon descriptors
摘要
Abstract
Objective To qualitatively assess the diagnostic performance of dynamic contrast enhancement(DCE),diffusion-weighted imaging(DWI),and T2-weighted imaging(T2WI),alone or in combination,in the evaluation of breast cancer.Methods We retrospectively reviewed the records of 394 consecutive patients with pathologically confirmed breast lesions who had undergone 3-T magnetic resonance imaging(MRI).The morphological characteristics of breast lesions were evaluated using DCE,DWI,and T2WI based on BI-RADS lexicon descriptors by trained radiologists.Patients were categorized into mass and non-mass groups based on MRI characteristics of the lesions,and the differences between benign and malignant lesions in each group were compared.Clinical prediction models for breast cancer diagnosis were constructed using logistic regression analysis.Diagnostic efficacies were compared using the area under the receiver operating characteristic curve(AUC)and DeLong test.Results For mass-like lesions,all the morphological parameters significantly differentiated benign and malignant lesions on consensus DCE,DWI,and T2WI(P<0.05).The combined method(DCE+DWI+T2WI)had a higher AUC(0.865)than any of the individual modality(DCE:0.786;DWI:0.793;T2WI:0.809)(P<0.05).For non-mass-like lesions,DWI signal intensity was a significant predictor of malignancy(P=0.036),but the model using DWI alone had a low AUC(0.669).Conclusion Morphological assessment using the combination of DCE,DWI,and T2WI provides better diagnostic value in differentiating benign and malignant breast mass-like lesions than assessment with only one of the modalities.关键词
乳腺癌/磁共振成像/扩散加权成像/T2加权成像/诊断准确性Key words
breast cancer/magnetic resonance imaging/diffusion-weighted imaging/T2-weighted imaging/diagnostic accuracy引用本文复制引用
张力莹,张同贞,赵鑫..基于乳腺影像报告和数据系统的DWI和T2WI形态评估对乳腺病变的诊断价值[J].南方医科大学学报,2025,45(9):1809-1817,9.基金项目
Supported by Tianjian Laboratory of Advanced Biomedical Sciences and Medical Science and Technology Plan Joint-Project of Henan Province(No.LHGJ20210475). 2021年河南省医学科技攻关计划联合共建项目(LHGJ20210475) （No.LHGJ20210475）
