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Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning

Crossref DOI link: https://doi.org/10.1186/s12885-023-10855-w

Published Online: 2023-04-21

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

Authors

Peng, Jiaxuan

Wang, Wei

Jin, Hui

Qin, Xue

Hou, Jie

Yang, Zhang

Shu, Zhenyu
Funding

Funding for this research was provided by:

Zhejiang Provincial Natural Science Foundation of China (LTGY23H180017)

Zhejiang Province Public Welfare Technology Application Research Project (GF21H180051)
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Text and Data Mining valid from 2023-04-21

Version of Record valid from 2023-04-21
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Article History

Received: 23 January 2023

Accepted: 17 April 2023

First Online: 21 April 2023

Declarations

:

: This retrospective study was approved by the Medical Ethics Committee of Zhejiang Provincial People’s Hospital (NO. 2021QT256) and in conformity to the Declaration of Helsinki. The informed consent was waived for this retrospective study by the Medical Ethics Committee of Zhejiang Provincial People’s Hospital (NO. 2021QT256), because of the retrospective nature of the study.

: NA.

: No competing interests.

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