Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T(1)-weighted Contrast-enhanced Imaging

BACKGROUND: Based on conventional MRI images, it is difficult to differentiatepseudoprogression from true progressionin GBM patients after standard treatment, which isa critical issue associated with survival. The aim of this study was to evaluate the diagnostic performance of machine learning using...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860032/
https://www.ncbi.nlm.nih.gov/pubmed/33535988
http://dx.doi.org/10.1186/s12880-020-00545-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860032/
https://www.ncbi.nlm.nih.gov/pubmed/33535988
http://dx.doi.org/10.1186/s12880-020-00545-5

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