Early peritumoral edema change improve prediction of pathological complete response in breast cancer: a multiparametric magnetic resonance imaging-based model

A predictive model incorporating early peritumoral edema changes, apparent diffusion coefficient, lesion diameter, and molecular subtype achieved an AUC of 0.899, indicating robust predictive performance in predicting pCR among breast cancer patients undergoing NAC. This model may facilitate personalized treatment planning and clinical decision-making.

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Publication Details

Journal
Frontiers in Oncology
Published
2026-01-30
DOI
https://doi.org/10.3389/fonc.2026.1671985
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00

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article

Early peritumoral edema change improve prediction of pathological complete response in breast cancer: a multiparametric magnetic resonance imaging-based model

Y. M. Zhang, Fuqiang Pan, Gang Li, Yuqing Xin et al.
Frontiers in Oncology
MRI in cancer diagnosis
article

Early peritumoral edema change improve prediction of pathological complete response in breast cancer: a multiparametric magnetic resonance imaging-based model

Y. M. Zhang, Fuqiang Pan, Gang Li, Yuqing Xin, Heshan Han, Baoqi Zhang
article en

Abstract

A predictive model incorporating early peritumoral edema changes, apparent diffusion coefficient, lesion diameter, and molecular subtype achieved an AUC of 0.899, indicating robust predictive performance in predicting pCR among breast cancer patients undergoing NAC. This model may facilitate personalized treatment planning and clinical decision-making.

Frontiers in OncologyVol. 16
Bengbu Medical College (CN), Fuda Cancer Hospital (CN), Fuyang City People's Hospital (CN), Fuyang Maternity and Child Health Care Hospital (CN), Fuyang Second People's Hospital (CN)
Bengbu Medical College
Good health and well-being
Openalex Percentile: Top 72%
MRI in cancer diagnosis
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Early peritumoral edema change improve prediction of pathological complete response in breast cancer: a multiparametric magnetic resonance imaging-based model — Y. M. Zhang, Fuqiang Pan, et al. · Frontiers in Oncology (2026) | TGRS Research Map | TGRS