Personalized prediction of pathological complete response in breast cancer neoadjuvant therapy: a nomogram combining quantitative MRI biomarkers and molecular subtypes

Breast MRI accuracy was reduced in ER-negative tumors, those lacking DCIS, and lesions exhibiting coexistent mass and NME. A clinicopathological-MRI integrated nomogram demonstrated robust predictive performance for pCR after NAT completion, potentially aiding in surgical strategy planning.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-09-25
DOI
https://doi.org/10.3389/fonc.2025.1669700
Citations
1
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.94

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article

Personalized prediction of pathological complete response in breast cancer neoadjuvant therapy: a nomogram combining quantitative MRI biomarkers and molecular subtypes

Hanyan Zhu, Qian Xiao-min, Xiaoxing Bian, Jin Zhang et al.
1 citations
Frontiers in Oncology
Breast Cancer Treatment Studies
0.94
article

Personalized prediction of pathological complete response in breast cancer neoadjuvant therapy: a nomogram combining quantitative MRI biomarkers and molecular subtypes

Hanyan Zhu, Qian Xiao-min, Xiaoxing Bian, Jin Zhang, Chunyan Li, Peng Zhou, Jie Meng, Zhendong Shi
article en
1 citations

Abstract

Breast MRI accuracy was reduced in ER-negative tumors, those lacking DCIS, and lesions exhibiting coexistent mass and NME. A clinicopathological-MRI integrated nomogram demonstrated robust predictive performance for pCR after NAT completion, potentially aiding in surgical strategy planning.

Frontiers in OncologyVol. 15
Tianjin Medical University Cancer Institute and Hospital (CN), Tianjin Medical University (CN)
Tianjin Medical University, Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Openalex Percentile: Top 20%
Breast Cancer Treatment Studies
0.94
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