Crossmark

Development and validation of a machine learning model based on interpretable clinical characteristics for preoperative prediction of Ki-67 expression in pituitary adenomas

Crossref DOI link: https://doi.org/10.1007/s10072-026-08840-9

Published Online: 2026-02-05

Published Print: 2026-03

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

Authors

Bian, Jiaxiang

Wang, Xiaoyang

Cheng, Lixia

Wang, Yuting

Li, Quancai https://orcid.org/0009-0004-9163-5569
License Information

Text and Data Mining valid from 2026-02-05

Version of Record valid from 2026-02-05
More Information

Article History

Received: 4 August 2025

Accepted: 15 January 2026

First Online: 5 February 2026

Declarations

:

: This study was conducted in accordance with the principles of the Helsinki Declaration and was approved by the Ethics Committee of Weifang People's Hospital(KYLL20250402-2). As this study is retrospective, the medical record data used were obtained from previous clinical diagnoses and treatments, and the requirement for informed consent was waived by the Ethics Committee.

: Not applicable.

: The authors have no competing interests to declare that are relevant to the content of this article.

Document is current

Any future updates will be listed below