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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K

Quantitative MRI of Perivascular Spaces at 3T for Early Diagnosis of Mild Cognitive Impairment

M Niazi1,2, M Karaman3, S Das4

  • 1From the Department of Radiology (M.N., X.J.Z., K.C.).

AJNR. American Journal of Neuroradiology
|August 11, 2018
PubMed
Abstract

Insights

Quantifying enlarged perivascular spaces in brain MRIs can help diagnose mild cognitive impairment (MCI). Higher densities in MCI patients suggest this is a potential imaging biomarker for early detection and intervention.

Area of Science:

  • Neurology
  • Radiology
  • Biomarker Discovery

Background:

  • Current mild cognitive impairment (MCI) diagnostic methods limit early therapeutic interventions.
  • Developing reliable biomarkers for MCI is crucial for delaying dementia progression.

Purpose of the Study:

  • To evaluate if quantifying enlarged perivascular spaces on MR imaging can differentiate MCI patients from healthy controls.
  • To assess the potential of enlarged perivascular spaces as an imaging surrogate for MCI diagnosis.

Main Methods:

  • Developed a custom Matlab program for automated identification and quantification of enlarged perivascular spaces in brain MRIs.
  • Compared enlarged perivascular space densities between 14 MCI patients and 15 age-matched healthy controls.

Main Results:

  • MCI patients showed significantly higher enlarged perivascular space densities (4.17% subcortical, 3.90% basal ganglia) than controls (2.82% subcortical, 2.74% basal ganglia).
  • Receiver operating characteristic analysis demonstrated high diagnostic accuracy (92.86% sensitivity, 93.33% specificity) for enlarged perivascular spaces as a biomarker.

Conclusions:

  • Significantly elevated densities of enlarged perivascular spaces in MCI patients indicate their potential as a diagnostic imaging biomarker.
  • This quantitative MRI approach may aid in the early diagnosis of mild cognitive impairment.

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