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Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T1-weighted Contrast-enhanced Imaging

Crossref DOI link: https://doi.org/10.1186/s12880-020-00545-5

Published Online: 2021-02-03

Published Print: 2021-12

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

Authors

Sun, Ying-Zhi

Yan, Lin-Feng

Han, Yu

Nan, Hai-Yan

Xiao, Gang

Tian, Qiang

Pu, Wen-Hui

Li, Ze-Yang

Wei, Xiao-Cheng

Wang, Wen

Cui, Guang-Bin
Funding

Funding for this research was provided by:

National Basic Research Program of China (973 Program) (2016YFC0107105)
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Text and Data Mining valid from 2021-02-03

Version of Record valid from 2021-02-03
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Article History

Received: 30 June 2020

Accepted: 28 December 2020

First Online: 3 February 2021

Ethics approval and consent to participate

: Theretrospective studywas approved by the Air Force Medical University, Tang Du Hospital Institutional Review Boardand the requirement for written informed consent was waived.(Study Nr.201510–013).

: Our manuscript does not contain any individual person’s data. (Not applicable).

: The authors declare no conflicts of interest.

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