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A machine learning model integrating clinical-radiomics-deep learning features accurately predicts postoperative recurrence and metastasis of primary gastrointestinal stromal tumors

Crossref DOI link: https://doi.org/10.1186/s13244-025-02011-8

Published Online: 2025-06-26

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

Authors

Xie, WenJie

Zhang, Zhen

Sun, Zhao

Wan, XiaoChen

Li, JieHan

Jiang, JianWu

Liu, Qi

Yang, Ge

Fu, Yang https://orcid.org/0000-0002-8221-3354
Funding

Funding for this research was provided by:

First Affiliated Hospital of Zhengzhou University (QNCXTD2023022)

Natural Science Foundation of Henan Province (No. 212300410075)

Health Commission of Henan Province (Nos. YXKC2020029/2020054, SBGJ2020002041)

Training Program for Young Backbone Teachers of colleges and universities in Henan Province (2019GGJS024)
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Article History

Received: 1 December 2024

Accepted: 29 May 2025

First Online: 26 June 2025

Declarations

:

: This retrospective study was approved by the review committee of our institution and was adherent to the principles and requirements of the Declaration of Helsinki. The name of the ethics committee for this study was the Ethics Committee of the First Affiliated Hospital of Zhengzhou University. The ethics reference number for this study was 2023-KY-0353-003. Similarly, another ethics committee for this study is the Ethics Committee of Henan Cancer Hospital, and we have also obtained consent, The ethics reference number for this study was 2018095.

: This study was approved by the ethics committee, but as it is a retrospective study, written consent was waived.

: The authors declare no competing interests.

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