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Deep learning radiomics for the prediction of epidermal growth factor receptor mutation status based on MRI in brain metastasis from lung adenocarcinoma patients

Crossref DOI link: https://doi.org/10.1186/s12885-025-13823-8

Published Online: 2025-03-12

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

Authors

Cao, Pingdong

Jia, Xiao

Wang, Xi

Fan, Liyuan

Chen, Zheng

Zhao, Yuanyuan

Zhu, Jian

Wen, Qiang
Funding

Funding for this research was provided by:

Shandong Medical Association Clinical Research Fund- -Qilu Special Project (YXH2022ZX02196)

Jinan Science and Technology Clinical Medicine Innovation Plan (20225011)

Shandong Province Medical Staff Science and Technology Innovation Program (SDYWZGKCJH2022018)

Natural Science Foundation of Shandong Province (ZR2024MH268)
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Text and Data Mining valid from 2025-03-12

Version of Record valid from 2025-03-12
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Article History

Received: 22 July 2024

Accepted: 26 February 2025

First Online: 12 March 2025

Declarations

:

: This study received approval from the Research Ethics Committee of Shandong Provincial Hospital Affiliated to Shandong First Medical University. Ethical approve of present study was obtained from the Institutional Review Board. Meanwhile, this study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). Informed consent was obtained from all participants.

: Not Applicable.

: The authors declare no competing interests.

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