
Prediction of nonalcoholic fatty liver disease (NAFLD) activity score (NAS) with multiparametric hepatic magnetic resonance imaging and elastography
Author(s) -
Ziying Yin,
Matthew Murphy,
Jiahui Li,
Kevin J. Glaser,
Amy S. Mauer,
Taofic Mounajjed,
Terry M. Therneau,
Heshan Liu,
Harmeet Malhi,
Armando Manduca,
Richard L. Ehman,
Meng Yin
Publication year - 2019
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/s00330-019-06076-0
Subject(s) - magnetic resonance elastography , nonalcoholic fatty liver disease , medicine , elastography , magnetic resonance imaging , fatty liver , logistic regression , neuroradiology , liver biopsy , radiology , biopsy , ultrasound , disease , neurology , psychiatry
To investigate the use of MR elastography (MRE)-derived mechanical properties (shear stiffness (|G*|) and loss modulus (G″)) and MRI-derived fat fraction (FF) to predict the nonalcoholic fatty liver disease (NAFLD) activity score (NAS) in a NAFLD mouse model.