Quantitative susceptibility mapping in β-Amyloid PET-stratified patients with dementia and healthy controls - A

Solveig Tiepolt1, Michael Rullmann2, Thies H Jochimsen1

  • 1Department of Nuclear Medicine, University of Leipzig, Liebigstr. 18, 04103 Leipzig, Germany.

Abstract

Insights

Alzheimer's disease (AD) patients show distinct brain iron levels detectable by quantitative susceptibility mapping (QSM) MRI. These iron differences may correlate with neurodegeneration and could serve as a diagnostic biomarker.

Area of Science:

  • Neuroimaging
  • Biomarkers
  • Neurodegenerative Diseases

Background:

  • Accumulation of iron in the brain is observed in Alzheimer's disease (AD).
  • Previous studies indicate increased iron-sensitive MRI signals in the putamen of AD patients.
  • Clinical diagnosis of AD has moderate sensitivity; Aβ-PET aids in patient stratification.

Purpose of the Study:

  • To investigate differences in regional magnetic susceptibility between Aβ-positive (AD), Aβ-negative (non-AD) patients, and healthy controls (HCs).
  • To explore correlations between magnetic susceptibility, Mini Mental State Examination (MMSE) scores, and global Aβ-load.

Main Methods:

  • Retrospective analysis of [11C]PiB PET/MRI data from 11 HCs, 16 AD, and 10 non-AD patients.
  • Quantitative susceptibility mapping (QSM) used to measure iron-sensitive MRI signals at 3T.
  • Global cerebral Aβ-load determined by composite [11C]PiB SUV ratios.

Main Results:

  • AD patients exhibited higher putaminal QSM values compared to HCs (p=0.006).
  • Non-AD patients showed lower caudate nucleus QSM values than HCs (p=0.006).
  • A significant correlation was found between global Aβ-load and putaminal QSM in AD patients (ρ=-0.574, p=0.020).

Conclusions:

  • Quantitative susceptibility mapping (QSM) may detect distinct cerebral iron pathologies in AD and non-AD patients.
  • Observed iron differences are potentially linked to neurodegeneration.
  • Further research in well-defined cohorts is encouraged to validate QSM as a diagnostic biomarker for neurodegenerative diseases.

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