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MRI-cytometry: Mapping nonparametric cell size distributions using diffusion MRI.

Junzhong Xu^1,2,3,4, Xiaoyu Jiang^1,2, Sean P Devan¹

¹Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.

Magnetic Resonance in Medicine

|September 16, 2020

Summary

This summary is machine-generated.

This study introduces MRI-cytometry, a new diffusion MRI method to map cell size distributions noninvasively. This technique accurately measures cell sizes in tissues and shows promise for clinical applications in cancer diagnosis.

Keywords:

MRI cell size cytometry diffusion distribution oscillating gradient volume fraction

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Area of Science:

Biomedical Imaging
Radiology
Cell Biology

Background:

Accurate characterization of cell size distributions is crucial for understanding tissue biology and disease.
Noninvasive methods for mapping cell size distributions in vivo are limited.

Purpose of the Study:

To introduce and validate a novel diffusion MRI-based method, MRI-cytometry.
To enable noninvasive mapping of intravoxel, nonparametric cell size distributions in biological tissues.

Main Methods:

Acquired diffusion MRI signals across various diffusion times and gradient factors.
Developed a 2-step fitting model to estimate cell size distributions, avoiding noise-induced artifacts.
Validated the method using in silico simulations, in vitro cell cultures, in vivo animal models, and in 7 human breast cancer patients.

Main Results:

MRI-cytometry reliably maps intravoxel, nonparametric cell size distributions.
The method demonstrated the potential to discriminate between smaller and larger cells.
Feasibility of clinical translation was shown through application in breast cancer patients.

Conclusions:

MRI-cytometry can characterize nonparametric cell size distributions in human tumors.
This method offers a practical imaging approach for deriving histopathological information.
The technique holds potential for advancing noninvasive tissue analysis.