Prediction of nonalcoholic fatty liver disease (NAFLD) activity score (NAS) with multiparametric hepatic magnetic resonance imaging and elastography | Zendy

Ziying Yin | Zendy; Matthew C. Murphy | Zendy; Jiahui Li | Zendy; Kevin J. Glaser | Zendy; Amy S. Mauer | Zendy; Taofic Mounajjed | Zendy; Terry M. Therneau | Zendy; Heshan Liu | Zendy; Harmeet Malhi | Zendy; Armando Manduca | Zendy; Richard L. Ehman | Zendy; Meng Yin | Zendy

Open Access

Prediction of nonalcoholic fatty liver disease (NAFLD) activity score (NAS) with multiparametric hepatic magnetic resonance imaging and elastography

Author(s) -

Ziying Yin,

Matthew C. 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) - nonalcoholic fatty liver disease , magnetic resonance elastography , medicine , elastography , magnetic resonance imaging , fatty liver , logistic regression , liver biopsy , neuroradiology , 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.

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