Cerebral microhemorrhage and iron deposition in mild cognitive impairment: susceptibility-weighted MR imaging

Sven Haller1, Andreas Bartsch, Duy Nguyen

  • 1Department of Diagnostic and Interventional Neuroradiology, DISIM, University Hospitals of Geneva, Rue Gabrielle Perret-Gentil 4, 1211 Geneva 14, Switzerland. sven.haller@hcuge.ch

Radiology
|October 7, 2010
PubMed
Abstract

Insights

Susceptibility-weighted imaging can detect cerebral microhemorrhages and altered iron distribution in patients with mild cognitive impairment. This may help predict future cognitive decline and identify individuals at risk.

Area of Science:

  • Neuroimaging
  • Neurology
  • Radiology

Background:

  • Mild cognitive impairment (MCI) is a precursor to dementia.
  • Early detection of MCI progression is crucial for timely intervention.
  • Identifying biomarkers for MCI progression is an active area of research.

Purpose of the Study:

  • To evaluate the predictive value of susceptibility-weighted imaging (SWI) at baseline for cognitive decline in individuals with MCI.
  • To assess iron deposition patterns in deep gray matter nuclei in MCI patients compared to healthy controls.

Main Methods:

  • Prospective study including 69 MCI patients and 35 healthy controls.
  • SWI was used to assess cerebral microhemorrhages.
  • Iron concentration in deep gray matter was analyzed using voxel-wise and region-of-interest methods.
  • A support vector machine (SVM) was employed for classification of MCI and prediction of progression.

Main Results:

  • MCI patients exhibited a higher number of cerebral microhemorrhages at baseline compared to controls.
  • Altered iron distribution was observed in subcortical nuclei of MCI patients.
  • SVM achieved high accuracy (84-85%) in discriminating MCI from controls and predicting MCI progression.

Conclusions:

  • Cerebral microhemorrhages and altered iron distribution are present at baseline in MCI patients, irrespective of subsequent cognitive decline.
  • SWI analysis, particularly iron deposition patterns assessed by SVM, shows potential for identifying MCI patients at risk of cognitive decline.