Novel algorithm for quantitative assessment of left ventricular dyssynchrony with ECG-gated myocardial perfusion

Keisuke Kiso1, Akira Imoto, Yoshihiro Nishimura

  • 1Department of Radiology and Nuclear Medicine, National Cerebral and Cardiovascular Center, 5-7-1 Fujishiro-dai, Suita, Osaka 565-8565, Japan. kkeisuke@hsp.ncvc.go.jp

Insights

A new algorithm using ECG-gated myocardial perfusion SPECT (GMPS) accurately assesses left ventricular (LV) dyssynchrony. This method predicts and evaluates response to cardiac resynchronization therapy (CRT) in heart failure patients.

Area of Science:

  • Cardiology
  • Nuclear Cardiology
  • Medical Imaging

Background:

  • Cardiac resynchronization therapy (CRT) is a key treatment for severe heart failure.
  • Left ventricular (LV) dyssynchrony is a critical predictor of CRT response.
  • Accurate assessment of LV dyssynchrony is essential for optimizing CRT management.

Purpose of the Study:

  • To develop and evaluate a novel software algorithm for quantitative assessment of LV dyssynchrony.
  • To utilize ECG-gated myocardial perfusion SPECT (GMPS) for LV dyssynchrony measurement.
  • To assess the utility of this new method in predicting and managing CRT response.

Main Methods:

  • Thirty-three patients with chronic severe heart failure underwent GMPS before and 6 months after CRT.
  • A new algorithm calculated LV dyssynchrony index (DI) based on time to end-systole (TES) from GMPS data.
  • DI was compared with echocardiographic LV dyssynchrony (ΔTPV) and correlated with LV function parameters (LVEF, LVESV).

Main Results:

  • Baseline DI significantly correlated with LV ejection fraction (LVEF) and LV end-systolic volume (LVESV).
  • Patients responding to CRT (R-Gp) exhibited significantly higher baseline DI than non-responders (NR-Gp).
  • In responders, DI significantly decreased post-CRT, and baseline DI correlated with tissue Doppler imaging (TDI) ΔTPV.

Conclusions:

  • The developed GMPS-based algorithm provides a reliable estimation of LV dyssynchrony.
  • This method demonstrates comparability to tissue Doppler imaging (TDI) for dyssynchrony assessment.
  • The algorithm aids in predicting and evaluating the effectiveness of cardiac resynchronization therapy.
Abstract