Prevalence and predictors of mechanical dyssynchrony as defined by phase analysis in patients with left ventricular dysfunction undergoing gated SPECT myocardial perfusion imaging.

Journal Article (Journal Article)

BACKGROUND: A novel method to quantify dyssynchrony using phase analysis of single-photon emission computed tomography (SPECT) myocardial perfusion imaging has been developed. We sought to determine the prevalence of SPECT-derived mechanical dyssynchrony, and we report clinical variables which predict mechanical dyssynchrony in patients with left ventricular dysfunction. METHODS: We used a count-based Fourier analysis method to convert the regional myocardial counts from discrete frames per cardiac cycle into a continuous thickening function which allows resolution of the phase of the onset of myocardial contraction. The standard deviation of left ventricular phases (Phase SD) describes the regional phase dispersion as a measure of dyssynchrony. Significant dyssynchrony was defined as Phase SD ≥ 43°. 260 patients with left ventricular ejection fraction ≤ 35% were examined. RESULTS: The prevalence of mechanical dyssynchrony in the entire cohort of patients studied was 52%. Univariate predictors of Phase SD were age (P = .03), black race (P = .0005), QRS duration, EF, EDV, summed stress score (SSS), and summed rest score (SRS) (all P = <.0001). Black race, male gender, QRS EF, and SRS were independent predictors of SPECT-based mechanical dyssynchrony. CONCLUSIONS: Significant SPECT-based mechanical dyssynchrony is relatively common among patients with left ventricular dysfunction. In a population of patients with predominantly ischemic heart disease referred for SPECT, a reduced EF, increasing QRS duration, severity and extent of myocardial scar on SPECT imaging are independent predictors of mechanical dyssynchrony and may serve to identify patients for dyssynchrony screening.

Full Text

Duke Authors

Cited Authors

  • Samad, Z; Atchley, AE; Trimble, MA; Sun, J-L; Shaw, LK; Pagnanelli, R; Chen, J; Garcia, EV; Iskandrian, AE; Velazquez, EJ; Borges-Neto, S

Published Date

  • February 2011

Published In

Volume / Issue

  • 18 / 1

Start / End Page

  • 24 - 30

PubMed ID

  • 21082299

Pubmed Central ID

  • PMC3077282

Electronic International Standard Serial Number (EISSN)

  • 1532-6551

Digital Object Identifier (DOI)

  • 10.1007/s12350-010-9310-7


  • eng

Conference Location

  • United States