Magnetic resonance criteria for future trials of cardiac resynchronization therapy

Benjamin England1, Andrew Lee, Thao Tran

  • 1Huntington Memorial Hospital, Pasadena, California, USA.

Insights

Cardiac Resynchronization Therapy (CRT) selection can be improved by measuring cardiac asymmetry and asynchrony using cardiac magnetic resonance imaging. These novel indices accurately identify heart failure patients who may benefit from CRT.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Current Cardiac Resynchronization Therapy (CRT) patient selection relies on electrocardiogram (ECG) QRS duration, potentially missing candidates with disconjugate cardiac contractility.
  • Heart failure management and treatment efficacy can be significantly improved with better patient stratification.

Purpose of the Study:

  • To develop a robust numerical index for patient selection in CRT using cardiac magnetic resonance imaging (CMR).
  • To evaluate the roles of cardiac asymmetry, asynchrony, and circumferential strain in disconjugate cardiac contractility for CRT candidate identification.

Main Methods:

  • Standard CMR imaging was performed on a GE 1.5 Tesla Signa LX MRI scanner.
  • MASS Analysis software was used for image analysis.
  • Statistical analysis included t-tests and standardized differences to determine efficacy and statistical power.

Main Results:

  • Indices of asymmetry (Ism) and asynchrony (Isn) were accurately measurable using CMR.
  • These indices demonstrated excellent statistical power as surrogate markers to differentiate heart failure patients (including CRT candidates) from normal subjects.
  • Asymmetry and asynchrony are critical, improvable components of dilated cardiomyopathy.

Conclusions:

  • Cardiac magnetic resonance imaging-derived indices of asymmetry and asynchrony are efficacious for screening CRT patients.
  • These findings suggest a potential improvement over current ECG-based selection criteria for CRT.
  • Further comparison with echocardiography data is recommended to optimize outcomes for CRT.

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