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Machine learning prediction of pathological complete response to neoadjuvant chemotherapy with peritumoral breast tumor ultrasound radiomics: compare with intratumoral radiomics and clinicopathologic predictors

Crossref DOI link: https://doi.org/10.1007/s10549-025-07727-1

Published Online: 2025-05-16

Published Print: 2025-07

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

Authors

Yao, Jiejie

Zhou, Wei

Jia, Xiaohong

Zhu, Ying

Chen, Xiaosong

Zhan, Weiwei

Zhou, Jianqiao
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Text and Data Mining valid from 2025-05-16

Version of Record valid from 2025-05-16
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Article History

Received: 20 October 2024

Accepted: 7 May 2025

First Online: 16 May 2025

Declarations

:

: The authors declare no competing interests.

: This study was approved by Ruijin Hospital Ethics Committee and was conducted in accordance with The Declaration of Helsinki (approval number: 2023221).

: Informed consent was obtained from all participants.

: The authors affirm that human research participants provided informed consent for publication of the data.

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