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Updated: Apr 19, 2026

Non-Invasive PET/MR Imaging in an Orthotopic Mouse Model of Hepatocellular Carcinoma
Published on: August 31, 2022
Hepatic arterial spin labelling MRI: an initial evaluation in mice.
R Ramasawmy1, A E Campbell-Washburn, J A Wells
1UCL Centre for Advanced Biomedical Imaging, Paul O'Gorman Building, London, UK; UCL Cancer Institute, Paul O'Gorman Building, London, UK.
Hepatic arterial spin labelling (HASL) is a feasible method for assessing liver perfusion in mice, showing good repeatability. This technique accurately measured reduced perfusion in liver metastasis models, offering a platform for disease research.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Radiology
Background:
- Strategies to combat hepatic disease and improve tissue regeneration necessitate methods for assessing regional liver function.
- Liver perfusion imaging offers potential for evaluating various hepatic diseases and therapeutic responses.
Purpose of the Study:
- To assess the feasibility, variability, and repeatability of hepatic arterial spin labelling (HASL) in mice at 9.4T.
- To apply HASL to a mouse model of colorectal liver metastasis for functional assessment.
Main Methods:
- Utilized flow-sensitive alternating inversion recovery-arterial spin labelling (FAIR-ASL) with a Look-Locker readout at 9.4T.
- Employed retrospective respiratory gating and T1-based quantification for data analysis.
- Validated HASL in a preclinical mouse model of liver metastasis.
Main Results:
- Demonstrated feasibility and good repeatability of preclinical HASL, with a mean liver perfusion of 2.2 ± 0.8 mL/g/min.
- Reported within-session coefficient of variation (CVWS) of 7% and between-session (CVBS) of 9%.
- Measured significantly lower perfusion (1.1 ± 0.5 mL/g/min) within liver tumors compared to healthy tissue.
Conclusions:
- Preclinical HASL is a precise and accurate technique for estimating liver perfusion in mice.
- HASL provides a valuable platform for future studies on hepatic perfusion in disease models.
- The method shows promise for assessing therapeutic efficacy in liver diseases.
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