Arrhythmic risk stratification by cardiac magnetic resonance tissue characterization: disclosing the arrhythmic

Aldostefano Porcari1, Antonio De Luca1, Chrysanthos Grigoratos2

  • 1Cardiovascular Department, Division of Cardiology, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, Via Pietro Valdoni 7, 34149, Trieste, Italy.

Heart Failure Reviews
|June 22, 2020
PubMed

Insights

Sudden cardiac death risk stratification can be improved using cardiac magnetic resonance (CMR) imaging. CMR identifies cardiac fibrosis, a key factor in arrhythmias, offering better accuracy than current methods for selecting patients for defibrillator therapy.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Electrophysiology

Background:

  • Sudden cardiac death (SCD) poses a significant global health challenge.
  • Current risk stratification for implantable cardioverter defibrillator (ICD) therapy relies on left ventricular ejection fraction (LVEF) and functional status, with limited accuracy for specific cardiomyopathies.
  • Existing risk scores offer suboptimal accuracy due to partial reflection of global arrhythmic risk.

Purpose of the Study:

  • To evaluate the role of cardiac magnetic resonance (CMR) in identifying arrhythmic substrates for improved risk stratification.
  • To explore CMR's ability to characterize myocardial tissue composition and identify fibrosis.
  • To assess the prognostic value of CMR, including late gadolinium enhancement (LGE) and mapping techniques, in predicting major arrhythmic events.

Main Methods:

  • Utilizing cardiac magnetic resonance (CMR) for comprehensive cardiac evaluation, including tissue characterization.
  • Employing sequences before and after contrast administration, alongside mapping techniques, to analyze myocardial tissue composition.
  • Assessing late gadolinium enhancement (LGE) as a marker for cardiac fibrosis and arrhythmic substrate.

Main Results:

  • Cardiac magnetic resonance (CMR) provides detailed insights into myocardial tissue composition, identifying cardiac fibrosis as a significant arrhythmic substrate.
  • Late gadolinium enhancement (LGE) on CMR is a strong prognostic marker for major arrhythmic events, independent of LVEF.
  • CMR offers incremental prognostic value over traditional methods in both ischemic and non-ischemic cardiomyopathies.

Conclusions:

  • Cardiac magnetic resonance (CMR) imaging, particularly through tissue characterization like LGE, enhances arrhythmic risk stratification.
  • CMR's ability to disclose the arrhythmic substrate within the myocardium is crucial for personalized patient management.
  • While mapping techniques show promise, further investigation and standardization are needed for their integration into clinical practice.

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