Early prediction of neoadjuvant therapy response in breast cancer using MRI-based neural networks: data from the ACRIN 6698 trial and a prospective Chinese cohort

Authors

Wanfang Xie
Siyao Du (ORCID: https://orcid.org/0000-0002-2300-4130)
Lina Zhang (ORCID: https://orcid.org/0000-0002-4079-9692)
Jiangang Liu (ORCID: https://orcid.org/0000-0003-2346-656X)
Huidong Wang (ORCID: https://orcid.org/0000-0001-7524-5721)
Gao Si (ORCID: https://orcid.org/0000-0002-9583-1928)
Zhenyu Liu (ORCID: https://orcid.org/0000-0001-8401-9056)
Jie Tian (ORCID: https://orcid.org/0000-0003-0498-0432)
Ruimeng Zhao

Institutions

Fourth Affiliated Hospital of China Medical University (CN)
First Hospital of China Medical University (CN)
Beihang University (CN)
Ministry of Industry and Information Technology (CN)
China Medical University (CN)

Publication Details

Journal: Breast Cancer Research
Published: 2025-04-03
DOI: https://doi.org/10.1186/s13058-025-02009-6
Citations: 5
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 6.80

Funders

National Natural Science Foundation of China

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article

Early prediction of neoadjuvant therapy response in breast cancer using MRI-based neural networks: data from the ACRIN 6698 trial and a prospective Chinese cohort

Wanfang Xie, Siyao Du, Lina Zhang, Jiangang Liu et al.

Apr 3, 2025

5 citations

Breast Cancer Research

Radiomics and Machine Learning in Medical Imaging

6.80

article

Early prediction of neoadjuvant therapy response in breast cancer using MRI-based neural networks: data from the ACRIN 6698 trial and a prospective Chinese cohort

Wanfang Xie, Siyao Du, Lina Zhang, Jiangang Liu, Huidong Wang, Gao Si, Zhenyu Liu, Jie Tian, Ruimeng Zhao

April 3, 2025article en

5 citations

Abstract

No abstract available for this paper.

Breast Cancer ResearchVol. 27(1)

Fourth Affiliated Hospital of China Medical University (CN), First Hospital of China Medical University (CN), Beihang University (CN), Ministry of Industry and Information Technology (CN), China Medical University (CN)

National Natural Science Foundation of China

Good health and well-being

Openalex Percentile: Top 3%

Radiomics and Machine Learning in Medical Imaging

6.80

DOI Open Access PDF OpenAlex

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