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Development and validation of MRI-derived deep learning score for non-invasive prediction of PD-L1 expression and prognostic stratification in head and neck squamous cell carcinoma

Crossref DOI link: https://doi.org/10.1186/s40644-025-00837-5

Published Online: 2025-02-16

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

Authors

Ding, Cong

Kang, Yue

Bai, Fan

Bai, Genji

Xian, Junfang
Funding

Funding for this research was provided by:

the National Natural Science Foundation of China (82471951)

National Key R&D Program of China (2022YFC2404005)

Beijing Municipal Administration of Hospitals' Ascent Plan (DFL20190203)
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Text and Data Mining valid from 2025-02-16

Version of Record valid from 2025-02-16
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Article History

Received: 10 November 2024

Accepted: 6 February 2025

First Online: 16 February 2025

Declarations

:

: Institutional Review Board approval was obtained.

: Written informed consent was waived from each patient due to the retrospective study.

: The authors declare no competing interests.

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