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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.

NMR in Biomedicine
|December 19, 2014
PubMed
Summary

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.

Keywords:
ASLlivermetastasismouseperfusionpreclinicalrepeatabilityvariability

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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.