Gated myocardial perfusion SPECT for evaluating left ventricular dyssynchrony in cardiac resynchronization therapy

Agnieszka Stępień-Wroniecka1,2, Ewa Dziewięcka2, Katarzyna Graczyk1,2

  • 1Doctoral School of Medical and Health Sciences, Jagiellonian University Medical College, Krakow, Poland .

PubMed

Insights

Gated single-photon emission computed tomography (SPECT) myocardial perfusion imaging can assess left ventricular mechanical dyssynchrony (LVMD) in cardiac resynchronization therapy (CRT) candidates. SPECT shows potential for improving CRT selection and patient outcomes.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Heart Failure Management

Background:

  • Cardiac resynchronization therapy (CRT) is indicated for heart failure patients with reduced ejection fraction and electrical dyssynchrony.
  • Electrical dyssynchrony does not always correlate with left ventricular mechanical dyssynchrony (LVMD).
  • Gated single-photon emission computed tomography (SPECT) myocardial perfusion imaging assesses LVMD, but its role in CRT selection is debated.

Approach:

  • A systematic literature review evaluated SPECT's utility for predicting LVMD and patient outcomes in CRT candidates.
  • PRISMA 2020 and Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) frameworks guided the review.
  • Searches included PubMed, Embase, and Cochrane databases.

Key Points:

  • 33 studies with original data on SPECT for LVMD prediction were included.
  • LVMD was primarily measured using phase histogram bandwidth (HBW) and standard deviation (PSD).
  • SPECT-derived cutoffs for predicting CRT response were identified (HBW: 55°-152°, PSD: 20°-54°).
  • Elevated baseline HBW and PSD values were linked to poorer patient outcomes in five studies.

Conclusions:

  • SPECT provides objective and reproducible LVMD measurements, highlighting its potential value.
  • SPECT assessment is an emerging adjunctive technique that may enhance CRT outcomes.
  • Further research can solidify SPECT's role in optimizing CRT patient selection.
Abstract