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Development and validation of machine-learning model based on dynamic tumor markers in predicting pathological complete response after neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer: a multicenter cohort study

Crossref DOI link: https://doi.org/10.1007/s00384-025-04993-9

Published Online: 2025-09-26

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

Authors

Chen, Bin

Peng, Tengyi

Pan, Zhen

Li, Shoufeng

Wang, Ye

Zheng, Shaoqing

Zhuang, Jinfu

Liu, Xing

Lu, Xingrong

Zeng, Changqing

Guan, Guoxian
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Text and Data Mining valid from 2025-09-26

Version of Record valid from 2025-09-26
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Article History

Received: 29 April 2025

Accepted: 22 August 2025

First Online: 26 September 2025

Declarations

:

: The study was successfully approved by the Ethics Committee of the First Affiliated Hospital of Fujian Medical University, the Ethics Committee of the Union Hospital of Fujian Medical University, and the Ethics Committee of Fujian Provincial Hospital. We solemnly declare that the entire study process was carried out in strict compliance with the relevant guidelines and regulations. All participants and/or their legal guardians have signed the informed consent form.

: All patients have signed an informed consent form, explicitly agreeing that their data and images can be used for research purposes.

: The authors declare no competing interests.

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