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Augmenting conventional criteria: a CT-based deep learning radiomics nomogram for early recurrence risk stratification in hepatocellular carcinoma after liver transplantation

Crossref DOI link: https://doi.org/10.1186/s13244-025-02082-7

Published Online: 2025-09-17

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

Authors

Wu, Ziqian

Liu, Danyang

Ouyang, Siyu

Hu, Jingyi

Ding, Jie

Guo, Qiu

Gao, Jidong

Luo, Jiawen

Ren, Ke https://orcid.org/0000-0002-5735-055X
Funding

Funding for this research was provided by:

Xiamen Medical And Health Guiding Project (3502Z20244ZD1157)
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Text and Data Mining valid from 2025-09-17

Version of Record valid from 2025-09-17
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Article History

Received: 15 April 2025

Accepted: 27 August 2025

First Online: 17 September 2025

Declarations

:

: This study was conducted with the Declaration of Helsinki. This study was conducted retrospectively in two centers and was approved by the Institutional Review Board of the Xiang’an Hospital of Xiamen University (ethics approval no. XAHLL2024035) on August 23, 2024, with a waiver of informed consent.

: The need for informed consent as waived.

: The authors declare no competing interests.

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