The first clinical application of magnetic resonance elastography (MRE) was in the
evaluation of chronic liver disease (CLD) for detection and staging of liver fibrosis. In the …

Non-invasive evaluation of liver fibrosis has evolved over the last couple of decades.
Currently, elastography techniques are the most widely used non-invasive methods for …

Purpose To develop and validate a deep learning system (DLS) for staging liver fibrosis by
using CT images in the liver. Materials and Methods DLS for CT-based staging of liver …

Objectives To (1) develop a fully automated deep learning (DL) algorithm based on
gadoxetic acid–enhanced hepatobiliary phase (HBP) MRI and (2) compare the diagnostic …

Background Diffusion-weighted (DW) MRI–based elastography has recently been proposed
for noninvasive liver fibrosis staging but requires evaluation in a larger number of patients …

MR elastography (MRE), first described in 1995 and FDA-cleared in 2009, has emerged as
an important tool for noninvasively detecting and staging liver fibrosis in patients with known …

OBJECTIVE. The purpose of this study is to develop a machine learning model to
categorically classify MR elastography (MRE)–derived liver stiffness using clinical and …

The hepatic diseases are extremely common in clinical practice. The correct classification of
liver fibrosis is extremely important, as it influences therapy and predicts disease outcomes …

Background Normalized iodine concentration (NIC)(ratio of iodine concentration of liver to
that of aorta) of liver at delayed dual-energy CT (DECT) may reflect the amount of fibrosis …

Purpose Autoimmune hepatitis (AIH) is an immune-mediated chronic liver disease that leads
to severe fibrosis and cirrhosis. The aim of this study was to determine the diagnostic value …