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Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy

Crossref DOI link: https://doi.org/10.1186/s40644-023-00620-4

Published Online: 2023-10-22

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

Authors

Chang, Runsheng

Qi, Shouliang http://orcid.org/0000-0003-0977-1939
Wu, Yanan

Yue, Yong

Zhang, Xiaoye

Qian, Wei
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (82072008, 62271131)

Natural Science Foundation of Liaoning Province (2021-YGJC-21)

Fundamental Research Funds for the Central Universities (N2324004-13)
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Text and Data Mining valid from 2023-10-22

Version of Record valid from 2023-10-22
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Article History

Received: 30 May 2023

Accepted: 16 October 2023

First Online: 22 October 2023

Declarations

:

: The study was approved by the Ethics Committee of both Shengjing Hospital of China Medical University. All procedures involving human participants were performed according to the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was waived because of the nature of the retrospective study.

: Not applicable.

: The authors declare that they have no competing interests.

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