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White matter lesions and dementia: MRI-pathological correlation

Fukashi Udaka1, Hideyuki Sawada, Masakuni Kameyama

  • 1Department of Neurology, Sumitomo Hospital, 5-3-20 Nakanoshima, Kita-ku, Osaka 530-0005, Japan. udaka-fukashi@sumitomo-hp.or.jp

Annals of the New York Academy of Sciences
|December 14, 2002
PubMed

Insights

This study correlates Magnetic Resonance Imaging (MRI) findings with pathology in white matter lesions. Understanding these lesions, including dilated perivascular spaces, is crucial for evaluating cognitive function impacts.

Area of Science:

  • Neurology
  • Radiology
  • Pathology

Background:

  • White matter lesions on Magnetic Resonance Imaging (MRI) require pathological clarification.
  • Existing classifications of perivascular spaces may not fully capture pathological nuances.

Purpose of the Study:

  • To correlate MRI findings of white matter lesions with underlying pathological substrates.
  • To propose a refined classification for dilated perivascular spaces observed in brain imaging.

Main Methods:

  • An MRI-pathological correlation study was conducted.
  • Histopathological examination identified myelin loss, axonal loss, microinfarcts, astrogliosis, and dilated perivascular spaces.
  • A novel classification for dilated perivascular spaces was developed.

Main Results:

  • Pathological findings in white matter lesions included myelin and axonal loss, microinfarcts, astrogliosis, and dilated perivascular spaces.
  • A new classification for dilated perivascular spaces was proposed, categorizing them by location (e.g., état criblé in basal ganglia, white matter, or specific arterial territories).
  • Relative preservation of subcortical U-fibers was noted.

Conclusions:

  • Pathological correlates of white matter lesions on MRI are diverse, involving degenerative and vascular changes.
  • The proposed classification aids in characterizing dilated perivascular spaces.
  • Accurate tissue characterization using T2-weighted, T1-weighted, and FLAIR MRI sequences is essential for evaluating the cognitive impact of white matter lesions.

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