Assessing liver function and liver fibrosis with the dual-input dual-compartmental uptake and efflux model based on DCE-MRI: a rat model study

Motivation: Quantitatively assessing liver function and liver fibrosis is important for patients with chronic liver disease. Goal(s): To evaluate the value of pharmacokinetic parameters derived from the dual-input dual-compartmental uptake and efflux model based on DCE-MRI for quantitatively assessing the liver function and liver fibrosis in a rat model. Approach: The relationships between pharmacokinetic parameters and the expression of hepatic transporters and histopathological metrics (Sirius red and α-SMA-positive ratios) were analysed in a liver fibrosis rat model. Results: Significant correlations were found between pharmacokinetic parameters and the expression of hepatic transporters. The diagnostic efficency of these parameters for staging liver fibrosis was satisfactory. Impact: Our findings suggested that the parameters derived from the dual-input dual-compartmental uptake and efflux model were useful for assessing liver function and simultaneously evaluating the degree of liver fibrosis.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/1802
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing liver function and liver fibrosis with the dual-input dual-compartmental uptake and efflux model based on DCE-MRI: a rat model study

Ziwei Jin, Tingting Guo, Peng Sun, Xin Li et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Liver Disease Diagnosis and Treatment
article

Assessing liver function and liver fibrosis with the dual-input dual-compartmental uptake and efflux model based on DCE-MRI: a rat model study

Ziwei Jin, Tingting Guo, Peng Sun, Xin Li, Fan Yang, Yiwan Guo
article en

Abstract

Motivation: Quantitatively assessing liver function and liver fibrosis is important for patients with chronic liver disease. Goal(s): To evaluate the value of pharmacokinetic parameters derived from the dual-input dual-compartmental uptake and efflux model based on DCE-MRI for quantitatively assessing the liver function and liver fibrosis in a rat model. Approach: The relationships between pharmacokinetic parameters and the expression of hepatic transporters and histopathological metrics (Sirius red and α-SMA-positive ratios) were analysed in a liver fibrosis rat model. Results: Significant correlations were found between pharmacokinetic parameters and the expression of hepatic transporters. The diagnostic efficency of these parameters for staging liver fibrosis was satisfactory. Impact: Our findings suggested that the parameters derived from the dual-input dual-compartmental uptake and efflux model were useful for assessing liver function and simultaneously evaluating the degree of liver fibrosis.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 66%
Liver Disease Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.