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Updated: Jun 14, 2026

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
Published on: March 24, 2023
Molecular imaging contrast media for visualization of liver function.
Matsuoka Yoshinori1, Murata Masaharu, Huzisaki Yuri
1Department of Disaster and Emergency Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Kyushu, Japan. yoshinori216@h2.dion.ne.jp
Researchers developed new molecular imaging contrast media targeting liver cells. This novel agent effectively visualizes liver tissue function using magnetic resonance imaging (MRI), showing promise for improved liver disease diagnosis.
Area of Science:
- Hepatobiliary imaging
- Molecular imaging
- Biomedical nanotechnology
Background:
- Liver disease diagnosis benefits from advanced imaging.
- Magnetic resonance imaging (MRI) offers radiation-free liver imaging.
- Current MRI methods struggle to detect subtle liver tissue changes or diseased areas.
Purpose of the Study:
- Develop novel contrast agents for visualizing liver functional changes.
- Assess the efficacy of new contrast media for liver molecular imaging.
Main Methods:
- Created molecular imaging contrast media targeting the asialoglycoprotein receptor (ASGP-R) on hepatocytes.
- Evaluated contrast media diameter and cytotoxicity.
- Confirmed ASGP-R binding specificity using confocal microscopy and blocking agents.
- Assessed MRI signal enhancement in hepatocytes using the developed contrast media.
Main Results:
- The contrast media formed 30 nm nanoparticles with low cytotoxicity.
- Demonstrated high specificity for ASGP-R on normal rat hepatocytes in vitro.
- Lactose and anti-ASGP-R antibody blocked media interaction with ASGP-R.
- Significantly enhanced T1-weighted MRI signals in normal hepatocytes compared to liver cancer cells.
Conclusions:
- The developed contrast media is effective for in vitro molecular imaging of hepatocytes via MRI.
- This novel agent shows potential for enhancing the detection and characterization of liver diseases.
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