Predictive value of triple negative breast cancer based on DCE-MRI multi-phase full-volume ROI clinical radiomics model

• Published in: Acta radiologica (1987) 2024-02, Vol.65 (2), p.173-184
• Main Authors: Qi, Xuan, Wang, Wuling, Pan, Shuya, Liu, Guangzhu, Xia, Liang, Duan, Shaofeng, He, Yongsheng
• Format: Article
• Language: English
• ISSN: 0284-1851; 1600-0455
• DOI: 10.1177/02841851231215145

Background Since no studies compared the value of radiomics features of distinct phases of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for predicting triple-negative breast cancer (TNBC). Purpose To identify the optimal phase of DCE-MRI for diagnosing TNBC and, in combination with clinical factors, to develop a clinical-radiomics model to well predict TNBC. Material and Methods This retrospective study included 158 patients with pathology-confirmed breast cancer, including 38 cases of TNBC. The patients were randomly divided into the training and validation set (7:3). Eight radiomics models were built based on eight DCE-MR phases, and their performances were evaluated using receiver operating characteristic curve (ROC) and DeLong's test. The Radscore derived from the best radiomics model was integrated with independent clinical risk factors to construct a clinical-radiomics predictive model, and evaluate its performance using ROC analysis, calibration, and decision curve analyses. Results WHO classification, margin, and T2-weighted (T2W) imaging signals were significantly correlated with TNBC and independent risk factors for TNBC (P