Incremental Value of Synthetic MRI Radiomics in Predicting Neoadjuvant Response in Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer

Read full text
Authors: Siyi Chen, Yongxin Chen, Chen Jin, Bingjie Zheng, Shishen Ding, ZiJin Weng, Wenjie Tang, Weifeng Liu, Yihong Lin, 孔庆聪, Qianwei Zhou, Yuan Guo
Cited by: 1
References: 34

Abstract

Synthetic MRI radiomics accurately predicted pathologic complete response to neoadjuvant therapy in human epidermal growth factor receptor 2–positive breast cancer, outperformed traditional radiomics models, and was associated with immune-related pathways and recurrence-free survival.

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging MRI in cancer diagnosis Cancer Immunotherapy and Biomarkers

Publication details

Journal / source
Radiology Imaging Cancer
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
5
Pages
e250758–e250758
Publication date
14 August 2026
Language
EN