scholarly journals GAN and dual‐input two‐compartment model‐based training of a neural network for robust quantification of contrast uptake rate in gadoxetic acid‐enhanced MRI

2020 ◽  
Vol 47 (4) ◽  
pp. 1702-1712
Author(s):  
Josiah Simeth ◽  
Yue Cao
Keyword(s):  
Neural Network ◽  
Uptake Rate ◽  
Compartment Model ◽  
Gadoxetic Acid ◽  
Model Based ◽  
Enhanced Mri ◽  
Two Compartment Model

scholarly journals Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure

2020 ◽  
Vol 26 (11) ◽  
pp. 1208-1220 ◽  
Author(s):  
Wang-Shu Zhu ◽  
Si-Ya Shi ◽  
Ze-Hong Yang ◽  
Chao Song ◽  
Jun Shen
Keyword(s):  
Liver Failure ◽  
Gadoxetic Acid ◽  
Model Based ◽  
Enhanced Mri

Quantification of hepatic perfusion and hepatocyte function with dynamic gadoxetic acid-enhanced MRI in patients with chronic liver disease

2018 ◽  
Vol 132 (7) ◽  
pp. 813-824 ◽  
Author(s):  
Benjamin Leporq ◽  
Jean-Luc Daire ◽  
Catherine M. Pastor ◽  
Pierre Deltenre ◽  
Christine Sempoux ◽  
...  
Keyword(s):  
Liver Disease ◽  
Chronic Liver Disease ◽  
Dynamic Mri ◽  
Free Breathing ◽  
Compartment Model ◽  
Chronic Liver ◽  
Parameter Analysis ◽  
Gadoxetic Acid ◽  
Hepatic Perfusion ◽  
Enhanced Mri

The purpose of the present study was to develop and perform initial validation of dynamic MRI enhanced with gadoxetic acid as hepatobiliary contrast agent to quantify hepatic perfusion and hepatocyte function in patients with chronic liver disease. Free-breathing, dynamic gadoxetic acid-enhanced MRI was performed at 3.0 T using a 3D time-resolved angiography sequence with stochastic trajectories during 38 min. A dual-input three-compartment model was developed to derive hepatic perfusion and hepatocyte function parameters. Method feasibility was assessed in 23 patients with biopsy-proven chronic liver disease. Parameter analysis could be performed in 21 patients (91%). The hepatocyte function parameters were more discriminant than the perfusion parameters to differentiate between patients with minimal fibrosis (METAVIR F0–F1), intermediate fibrosis (F2–F3) and cirrhosis (F4). The areas under the receiver operating characteristic curves (ROCs) to diagnose significant fibrosis (METAVIR F ≥ 2) were: 0.95 (95% CI: 0.87–1; P<0.001) for biliary efflux, 0.88 (95% CI: 0.73–1; P<0.01) for sinusoidal backflux, 0.81 (95% CI: 0.61–1; P<0.05) for hepatocyte uptake fraction and 0.75 (95% CI: 0.54–1; P<0.05) for hepatic perfusion index (HPI), respectively. These initial results in patients with chronic liver diseases show that simultaneous quantification of hepatic perfusion and hepatocyte function is feasible with free breathing dynamic gadoxetic acid-enhanced MRI. Hepatocyte function parameters may be relevant to assess liver fibrosis severity.

Sign in / Sign up

Export Citation Format

Share Document