Longitudinal DCE MRI Vascular Textures: Radiologic and Biologic Insights for pCR Prediction in HER2-Negative Breast Cancer

Radiology Artificial Intelligence 2026

View at publisher
Authors: Xinzhi Teng, Junjie Ma, Jiang Zhang, Min Zhao, Xiangjiao Meng, Y. -H. I. Yin, Haonan Xiao, Qingpei Lai, Xinyu Zhang, Yufeng Jiang, Jing Cai
DOI: 10.1148/ryai.250734
Cited by: 2
References: 35

Abstract

Dynamic contrast-enhanced (DCE) MRI vascularization-based response tracking (DCE-VASC-TRACK), a predictive model that uses longitudinal DCE MRI data, improved pathologic complete response prediction in human epidermal growth factor receptor 2–negative breast cancer through an integrated framework incorporating biologic pathway analysis and image phenotype characterization to ensure interpretability and robustness.

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging MRI in cancer diagnosis Breast Cancer Treatment Studies

Publication details

Journal / source
Radiology Artificial Intelligence
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
3
Pages
e250734–e250734
Publication date
25 March 2026
Language
EN