Multiparametric MRI radiomics for noninvasive prediction of HER2 status in immunohistochemical 2+ breast cancer

The mpMRI-based radiomics models had potential to noninvasively predict the HER2 status in IHC 2+ BC patients.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2026-01-14
DOI
https://doi.org/10.3389/fonc.2025.1765392
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multiparametric MRI radiomics for noninvasive prediction of HER2 status in immunohistochemical 2+ breast cancer

Peng Zhong, Chao Cong, Cheng Cheng, Xiaoguang Li et al.
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
article

Multiparametric MRI radiomics for noninvasive prediction of HER2 status in immunohistochemical 2+ breast cancer

Peng Zhong, Chao Cong, Cheng Cheng, Xiaoguang Li, Shan Gui, Qiujie Dong, Chunlai Zhang, Yi Wang, Hong Guo
article en

Abstract

The mpMRI-based radiomics models had potential to noninvasively predict the HER2 status in IHC 2+ BC patients.

Frontiers in OncologyVol. 15
Army Medical University (CN), Daping Hospital (CN), Chongqing University of Technology (CN)
Army Medical University
Openalex Percentile: Top 90%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.