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Development of a nomogram-based model incorporating radiomic features from follow-up longitudinal lung CT images to distinguish invasive adenocarcinoma from benign lesions: a retrospective study

Crossref DOI link: https://doi.org/10.1186/s12890-024-03360-8

Published Online: 2024-10-26

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

Authors

Wang, Zhengming

Wang, Fei

Yang, Yan

Fan, Weijie

Wen, Li

Zhang, Dong
Funding

Funding for this research was provided by:

Chongqing Xinqiao Hospital, Second Affiliated Hospital of Army Medical University (2018JSLC0016)

talent Project of Chongqing (Dong Zhang, CQYC202103075, cstc2022ycjh-bgzxm0082)
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Text and Data Mining valid from 2024-10-26

Version of Record valid from 2024-10-26
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Article History

Received: 5 July 2024

Accepted: 22 October 2024

First Online: 26 October 2024

Declarations

:

: This retrospective study was approved by the Medical Ethics Committee of XinQiao Hospital of Army Medical University(No: 2020-147-01), and patient informed consent was waived. All methods were implemented in accordance with the approved regulations and the Declaration of Helsinki.

: Not applicable.

: The authors declare no competing interests.

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