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Summary
This summary is machine-generated.

Low-field MRI with WMH-SynthSeg shows promise for assessing brain changes in Alzheimer's patients undergoing anti-amyloid immunotherapy. However, further development is needed for precise quantification of small regions and accurate detection of amyloid-related imaging abnormalities.

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Area of Science:

  • Neuroimaging
  • Alzheimer's Disease Research
  • Artificial Intelligence in Medical Imaging

Background:

  • White matter hyperintensities (WMH) predict amyloid-related imaging abnormalities (ARIA) in patients receiving anti-amyloid immunotherapy (AAT) for Alzheimer's disease.
  • Low-field magnetic resonance imaging (MRI) offers a safer alternative to high-field MRI for patients with contraindications, potentially capturing WMH and volumetric changes.
  • WMH-SynthSeg is a novel FreeSurfer tool for processing low-field MRI data, requiring evaluation against traditional 3T MRI.

Purpose of the Study:

  • To evaluate the performance of FreeSurfer WMH-SynthSeg on low-field MRI for volumetric and WMH lesion processing.
  • To compare low-field MRI volumetric measures processed by WMH-SynthSeg with those from 3T MRI.
  • To assess the ability of WMH-SynthSeg to detect WMH and ARIA in patients undergoing AAT.

Main Methods:

  • Acquired low-field (0.064T) MRI scans from 19 healthy controls and 23 patients undergoing AAT.
  • Obtained 3T MRI scans for treated patients for ARIA screening.
  • Utilized WMH-SynthSeg for low-field MRI and FreeSurfer-7.4 for 3T MRI to extract volumetric data and generate WMH lesion probability maps.
  • Performed linear regressions to compare volumetrics between low-field and 3T MRI, and assessed WMH volumes across groups (controls, AAT patients with/without ARIA-E).

Main Results:

  • WMH-SynthSeg volumetric estimates for lateral ventricles, white matter, and cortical grey matter showed agreement with 3T MRI.
  • Hippocampal volume was significantly underestimated by WMH-SynthSeg on low-field MRI compared to 3T MRI.
  • WMH lesion probability maps spatially aligned with known ARIA but did not encompass the full affected area.
  • While WMH volumes differed between healthy controls and AAT patients, no significant difference was found between AAT patients with and without ARIA-E.

Conclusions:

  • WMH-SynthSeg on low-field MRI provides comparable volumetric measures for large brain regions to 3T MRI and can spatially identify known ARIA.
  • The current WMH-SynthSeg implementation, in this small sample, lacks sufficient sensitivity for full ARIA identification and precise quantification of small brain regions.
  • Further advancements in WMH-SynthSeg are necessary to enhance accuracy in small region quantification and WMH lesion detection, especially for low-field MRI applications.