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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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Published on: July 28, 2013

A Diffusion Tensor Imaging Study on White Matter Abnormalities in Patients with Type 2 Diabetes Using Tract-Based

Y Xiong¹, Y Sui², Z Xu³

¹From the Departments of Radiology (Y.X., W.Z.) Center for Magnetic Resonance Research (Y.X., Y.S., M.M.K., K.C., X.J.Z.).

AJNR. American Journal of Neuroradiology

|March 19, 2016

Summary

This summary is machine-generated.

Diffusion tensor imaging (DTI) parameters reveal white matter changes in type 2 diabetes mellitus patients with cognitive decline. These DTI metrics show potential for early detection of mild cognitive impairment before clinical diagnosis.

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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

Area of Science:

Neuroimaging
Neurology
Diabetes Research

Background:

Type 2 diabetes mellitus (T2DM) significantly increases the risk of cognitive impairment and dementia.
White matter (WM) alterations are observed in T2DM patients, correlating with cognitive decline.

Purpose of the Study:

To investigate if diffusion tensor imaging (DTI) parameters can detect gradual white matter changes in T2DM patients.
To assess the utility of DTI parameters in differentiating T2DM patients with and without mild cognitive impairment (MCI).

Main Methods:

Recruited 42 T2DM patients (20 with MCI, 22 with normal cognition) and 26 healthy controls.
Utilized 3T DTI and Tract-Based Spatial Statistics to analyze fractional anisotropy (FA) and diffusivity measures (MD, λ1, λ23).
Employed receiver operating characteristic (ROC) analysis to evaluate DTI parameter performance in distinguishing cognitive groups.

Main Results:

Significant WM differences (decreased FA, increased MD) were found between T2DM groups and with healthy controls, primarily driven by elevated radial diffusivity.
Individual fiber tract analysis showed reduced FA and elevated MD in regions critical for cognitive function.
ROC analysis demonstrated FA (AUC=0.832) and MD (AUC=0.753) could differentiate MCI from normal cognition in T2DM patients; combined FA and MD improved AUC to 0.857.

Conclusions:

DTI parameters effectively differentiate T2DM patients with and without MCI, indicating their potential as imaging biomarkers for cognitive decline.
DTI may capture subtle, continuous WM changes associated with early cognitive decline in T2DM, potentially preceding clinical detection by standard tests.