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Multiparametric MRI deep learning model based on dynamic Contrast-enhanced and apparent diffusion coefficient map enables accurate prediction of benign and malignant breast lesions

Crossref DOI link: https://doi.org/10.1186/s40644-025-00970-1

Published Online: 2025-12-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Luo, Chen

Chen, Yanhong

Yan, Lijun

Wang, Churan

Wang, Lijun

Luo, Ran

Zhang, Zhengwei

Wang, Ruobing

Zhang, Fandong

Zhang, Zhongyang

Yin, Qiufeng

Zhang, Yuzhen

Liu, Huanhuan https://orcid.org/0000-0003-0291-1097
Wang, Dengbin https://orcid.org/0000-0001-9529-4870
Funding

Funding for this research was provided by:

the Shanghai Municipality of Science and Technology Commission (24TS1415200)

the Shanghai Municipality of Science and Technology Commission (24TS1415300)

Program of Shanghai Municipal Health Youth Talent (2022YQ042)

the National Natural Science Foundation of China (82071870, 92159203, 82471976)
License Information

Text and Data Mining valid from 2025-12-05

Version of Record valid from 2026-01-12
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Article History

Received: 13 August 2025

Accepted: 27 November 2025

First Online: 5 December 2025

Declarations

:

: The study protocol was approved by the Ethics Committee of Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, and informed consent was obtained from all patients according to the committee’s regulations. All methods were performed in accordance with the relevant guidelines and regulations of the committee.

: Not applicable.

: The authors declare no competing interests.

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