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Multiple Sclerosis l: Introduction

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Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression

Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression

Published on: May 7, 2019

Dynamic Changes in Long-Standing Multiple Sclerosis Revealed by Longitudinal Structural Network Analysis Using

Hui-Qin Zhang^1,2, Jacky Chi-Yan Lee³, Lu Wang⁴

¹From the Department of Diagnostic Radiology (H.-Q.Z.), National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

AJNR. American Journal of Neuroradiology

|February 1, 2024

Summary

This summary is machine-generated.

Network measurements derived from diffusion tensor imaging (DTI) are more sensitive than conventional DTI metrics for tracking brain changes in multiple sclerosis (MS) patients over time.

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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Area of Science:

Neuroimaging
Neurology
Biomedical Engineering

Background:

Diffusion tensor imaging (DTI) offers conventional diffusion measurements for detecting white matter abnormalities in multiple sclerosis (MS).
DTI also enables the construction of structural brain networks and derivation of network measurements.
Limited research compares the sensitivity of these DTI-derived measurements in tracking longitudinal brain alterations in MS.

Purpose of the Study:

To compare the sensitivity of conventional diffusion measurements and structural network measurements derived from DTI in tracking longitudinal brain changes in MS.
To identify which DTI-derived metrics are most effective for monitoring disease progression in MS patients over a 12-month period.

Main Methods:

Eighteen MS patients were evaluated at baseline, 6 months, and 12 months.
MR imaging and clinical assessments were performed at each time point.
Conventional diffusion measurements and structural network metrics (nodal degree, efficiency, path length) were derived and analyzed for longitudinal changes.

Main Results:

Conventional DTI measurements showed no statistically significant changes over the 12-month follow-up.
Significant longitudinal changes were observed in nodal degree, nodal efficiency, and nodal path length of specific regions in the frontal lobe (left middle frontal gyrus and bilateral inferior frontal gyrus, opercular part).

Conclusions:

Structural network measurements, specifically nodal degree, nodal efficiency, and nodal path length, demonstrate potential for monitoring brain changes in MS.
These network metrics may serve as sensitive biomarkers for tracking disease progression and treatment response in multiple sclerosis.