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A radiomics model based on diffusion-weighted imaging developed using machine learning enables prediction of microsatellite instability in endometrial cancer

Crossref DOI link: https://doi.org/10.1186/s12880-025-01944-2

Published Online: 2025-10-08

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

Authors

Zhang, Meng

Wang, Xuejia

Li, Zhong

Liu, Wenling

Li, Xuekun

Jin, Xingxing

Guo, Jinxia

Wang, Kaiyu

Li, Yuxia

Ren, Jipeng
Funding

Funding for this research was provided by:

The Key Project of Henan Province Medical Science and Technology Project (LHGJ20240479, QN-2022-B11)
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Text and Data Mining valid from 2025-10-08

Version of Record valid from 2025-10-08
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Article History

Received: 22 July 2025

Accepted: 12 September 2025

First Online: 8 October 2025

Declarations

:

: This retrospective study was in accordance with the Declaration of Helsinki, conducted with the approval of the First Affiliated Hospital of Xinxiang Medical University (No.EC-022-047), and each patient had informed consent.

: Not appliance.

: The authors declare no competing interests.

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