MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma | Zendy

Stefanie J. Hectors | Zendy; Sara Lewis | Zendy; Cecilia Besa | Zendy; Michael J. King | Zendy; Daniela Said | Zendy; Juan Putra | Zendy; Stephen C. Ward | Zendy; Takaaki Higashi | Zendy; Swan N. Thung | Zendy; Yao Shen | Zendy; Ilaria Laface | Zendy; Myron Schwartz | Zendy; Sacha Gnjatic | Zendy; Miriam Mérad | Zendy; Yujin Hoshida | Zendy; Bachir Taouli | Zendy

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MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma

Author(s) -

Stefanie J. Hectors,

Sara Lewis,

Cecilia Besa,

Michael J. King,

Daniela Said,

Juan Putra,

Stephen C. Ward,

Takaaki 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 , radiology , logistic regression , oncology , pathology , 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).

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