Magnetic resonance diffusion tensor imaging for detecting the cerebral microstructure changes in patients with

Jing Xu1, Hongyan Zhong2, Liuyang Wu1

  • 1Department of Radiology, Jiangnan University Medical Center, Wuxi, People's Republic of China.

PubMed

Insights

Diffusion tensor imaging (DTI) reveals significant correlations between brain microstructural changes and cognitive function in patients with cerebral small vessel disease (CSVD) and mild cognitive impairment (MCI). These findings highlight DTI

Area of Science:

  • Neuroimaging and Neurology
  • Cognitive Neuroscience
  • Medical Diagnostics

Background:

  • Cerebral small vessel disease (CSVD) is a common cause of cognitive decline, particularly mild cognitive impairment (MCI).
  • Brain atrophy, often measured by diffusion tensor imaging (DTI), is a hallmark of MCI in CSVD patients.
  • Understanding the relationship between DTI parameters and cognitive function is crucial for diagnosing and managing MCI in CSVD.

Purpose of the Study:

  • To investigate the association between DTI-derived fractional anisotropy (FA) and mean diffusivity (MD) and cognitive function in CSVD patients with MCI.
  • To evaluate the diagnostic value of DTI parameters in differentiating MCI from non-MCI (NMCI) in CSVD patients.
  • To explore correlations between DTI metrics in the hippocampus and entorhinal cortex and Montreal Cognitive Assessment (MoCA) scores.

Main Methods:

  • Retrospective analysis of 185 CSVD patients (87 MCI, 98 NMCI).
  • DTI parameters (FA and MD) were measured in the hippocampus and entorhinal cortex.
  • Receiver-operating-characteristic (ROC) analysis was used to assess diagnostic values; correlation analysis examined relationships with MoCA scores.

Main Results:

  • DTI parameters showed significant diagnostic potential, with FA in the left hippocampus yielding the highest area under the curve (0.76).
  • MD exhibited significant negative correlations with MoCA scores across all examined regions (e.g., hippocampus-left: r = -0.58, P < 0.001).
  • FA demonstrated significant positive correlations with MoCA scores (e.g., hippocampus-left: r = 0.51, P < 0.001).

Conclusions:

  • DTI parameters, specifically FA and MD, are valuable diagnostic tools for identifying MCI in CSVD patients.
  • Microstructural brain changes measured by DTI are significantly associated with cognitive function in this population.
  • These findings underscore the utility of DTI in assessing cognitive impairment related to CSVD.