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CT-based radiomics deep learning signatures for non-invasive prediction of metastatic potential in pheochromocytoma and paraganglioma: a multicohort study

Crossref DOI link: https://doi.org/10.1186/s13244-025-01952-4

Published Online: 2025-04-05

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

Authors

Zhou, Yongjie

Zhan, Yuan

Zhao, Jinhong

Zhong, Linhua

Zou, Fei

Zhu, Xuechao

Zeng, Qiao

Nan, Jiayu

Gong, Lianggeng

Tan, Yongming

Liu, Lan
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Text and Data Mining valid from 2025-04-05

Version of Record valid from 2025-04-05
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Article History

Received: 17 September 2024

Accepted: 11 March 2025

First Online: 5 April 2025

Declarations

:

: The Institutional Review Board approved this study and waived the requirement for patient consent.

: Not applicable.

: The authors declare that they have no competing interests.

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