Open AccessMRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma
Author(s) -
Stefanie Hectors,
Sara Lewis,
Cecilia Besa,
Michael King,
Daniela Said,
Juan Putra,
Stephen Ward,
Taishi Higashi,
Swan N. Thung,
Yao Shen,
Ilaria Laface,
Myron Schwartz,
Sacha Gnjatic,
Miriam Mérad,
Yujin Hoshida,
Bachir Taouli
Publication year - 2020
Publication title -
european radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.606
H-Index - 149
eISSN - 1432-1084
pISSN - 0938-7994
DOI - 10.1007/s00330-020-06675-2
Subject(s) - medicine , hepatocellular carcinoma , neuroradiology , radiomics , logistic regression , radiology , pathology , oncology , neurology , psychiatry
To assess the value of qualitative and quantitative MRI radiomics features for noninvasive prediction of immuno-oncologic characteristics and outcomes of hepatocellular carcinoma (HCC).