Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer

OBJECTIVES: To create a radiomics approach based on multiparametric magnetic resonance imaging (mpMRI) features extracted from an auto-fixed volume of interest (VOI) that quantifies the phenotype of clinically significant (CS) peripheral zone (PZ) prostate cancer (PCa). METHODS: This study included...

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Detalhes bibliográficos
Publicado no:Eur Radiol
Main Authors: Bleker, Jeroen, Kwee, Thomas C., Dierckx, Rudi A. J. O., de Jong, Igle Jan, Huisman, Henkjan, Yakar, Derya
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2019
Assuntos:
Imaging Informatics and Artificial Intelligence
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7033141/
https://ncbi.nlm.nih.gov/pubmed/31776744
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-019-06488-y
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