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Mapping hepatocyte size in vivo using temporal diffusion spectroscopy MRI.

Xiaoyu Jiang^1,2, Junzhong Xu^1,2,3,4, John C Gore^1,2,3,4,5

¹Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA.

Magnetic Resonance in Medicine

|April 26, 2020

Summary

This summary is machine-generated.

A new noninvasive MRI method, IMPULSED (Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion), accurately maps hepatocyte size in vivo. This technique offers a promising alternative to liver biopsy for diagnosing and monitoring liver diseases.

Keywords:

diffusion magnetic resonance imaging hepatocyte size microstructure characterization temporal diffusion spectroscopy

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Area of Science:

Medical Imaging
Hepatology
Biophysics

Background:

Pathological changes in hepatocyte size are crucial for diagnosing and assessing treatment response in liver diseases.
Current methods for measuring hepatocyte size, such as liver biopsy, are invasive and have limitations.

Purpose of the Study:

To implement and validate a noninvasive method for in vivo mapping of hepatocyte size.
To explore the clinical and preclinical applications of this novel imaging technique.

Main Methods:

Development of the IMPULSED (Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion) MRI protocol, based on temporal diffusion spectroscopy.
Acquisition of selected diffusion imaging data and fitting to a water compartment model to estimate cell sizes.
Validation in rodent models and implementation in healthy human subjects using a 3T MRI scanner.

Main Results:

IMPULSED accurately measured mean hepatocyte sizes in rats and mice (15-20 µm), consistent with histological data.
Clinically feasible scan times of under 15 minutes were achieved for human hepatocyte size mapping.
Generated maps of mean hepatocyte size in vivo.

Conclusions:

The IMPULSED method provides a noninvasive approach for mapping hepatocyte sizes.
This technique has the potential to overcome limitations associated with liver biopsy.
The method is suitable for clinical applications in liver disease diagnosis and treatment monitoring.