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Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques
06:29

Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques

Published on: June 11, 2019

[Late gadolinium enhancement in the diagnostics of ischemic heart disease: technical principles, contrast

K U Bauner1, A Biffar, M Greif

  • 1Institut für Klinische Radiologie, Klinikum der Ludwig-Maximilians-Universität München, Campus Grosshadern, Marchioninistr. 15, 81377, München, Deutschland. Kerstin.Bauner@med.uni-muenchen.de

Der Radiologe
|May 7, 2010
PubMed

Insights

The novel "dark blood" technique may improve detection of small subendocardial infarctions. However, the standard inversion recovery gradient echo (IR GRE) sequence remains superior for visualizing infarcts within the myocardium.

Area of Science:

  • Cardiovascular Imaging
  • Magnetic Resonance Imaging (MRI)

Context:

  • Myocardial infarction (MI) detection is crucial for patient outcomes.
  • Standard MRI sequences like inversion recovery gradient echo (IR GRE) are used for MI visualization.
  • Novel techniques are being explored to improve diagnostic accuracy.

Purpose:

  • To evaluate a "dark blood" MRI technique for myocardial infarction visualization.
  • To compare the performance of the "dark blood" technique against the standard IR GRE sequence.

Summary:

  • The study compared a "dark blood" sequence with IR GRE in 9 patients post-contrast administration.
  • Contrast-to-noise ratios (CNR) were calculated to assess image quality.
  • The "dark blood" technique showed a higher CNR for infarct-to-left ventricular cavity (inf-lvc) but a lower CNR for infarct-to-myocardium (inf-myo).

Impact:

  • The "dark blood" technique may enhance the detection of small subendocardial infarctions.
  • The standard IR GRE sequence is currently superior for delineating infarcts within the myocardium.
  • The "dark blood" technique does not replace the standard IR GRE sequence for comprehensive MI assessment.
Abstract

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