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Magnetic resonance imaging of chronic myocardial infarcts in formalin-fixed human autopsy hearts

J C Hsu1, G A Johnson, W M Smith

  • 1Department of Pathology, Duke University School of Medicine, Duke University Medical Center, Durham, NC 27710.

Circulation
|May 1, 1994
PubMed

Insights

Magnetic resonance imaging can differentiate infarcted from noninfarcted heart tissue using T1 and T2 values. This technique allows for high-resolution, three-dimensional imaging and quantification of myocardial infarcts.

Area of Science:

  • Cardiovascular Imaging
  • Biomedical Engineering
  • Pathology

Background:

  • Myocardial infarct structure and size are critical in post-heart attack patients.
  • Current methods for infarct assessment are imprecise and time-intensive.
  • Advanced magnetic resonance imaging (MRI) offers potential for detailed infarct analysis.

Purpose of the Study:

  • To evaluate MRI's capability in distinguishing infarcted from noninfarcted myocardium.
  • To assess MRI at various spatial resolutions for quantitative morphometry.
  • To explore MRI microscopy for microscopic infarct quantification.

Main Methods:

  • MRI at 2.0 T was used on autopsied heart sections with old myocardial infarcts.
  • T1 and T2 values were derived from images with varying repetition and echo times.
  • Histological sections identified tissue types, enabling T1/T2 value correlation.
  • Microscopic MRI acquired images with significantly smaller voxels (100 x 100 x 625 microns).

Main Results:

  • T1 values were significantly higher in infarcted tissue (459 ± 266 ms) compared to noninfarcted tissue (272 ± 163 ms).
  • T2 values were also significantly greater in infarcted tissue (49 ± 14 ms) than in noninfarcted tissue (35 ± 8 ms).
  • These differences were consistent across all samples (P < .001).

Conclusions:

  • T1 and T2 values reliably differentiate infarcted from noninfarcted myocardium.
  • MRI techniques can achieve 400-micron resolution for 3D infarct imaging and quantification.
  • The study demonstrates MRI's potential for quantitative 3D cardiac morphometry.
Abstract

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