Predictive accuracy of semi-quantitative scoring to screen for unfavorable ejection fraction and infarct size
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POSTER PRESENTATION
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Predictive accuracy of semi-quantitative scoring to screen for unfavorable ejection fraction and infarct size Lara Bakhos*, Maria M Izquierdo-Gomez, Daniel C Lee, Edwin Wu From 2011 SCMR/Euro CMR Joint Scientific Sessions Nice, France. 3-6 February 2011 Background Manual planimetry for quantitative analysis of ejection fraction (EF) and infarct size (IS) on cardiac magnetic resonance (CMR) imaging are too time-consuming, and therefore, impractical in daily clinical practice. We sought to derive and examine the predictive accuracy of a semi-quantitative scoring technique to screen patients with an EF ≤35% or an IS ≥18.5%, known independent predictors of increased cardiac events and mortality. Methods The CMR derivation cohort consisted of 122 STsegment elevation myocardial infarction patients. The validation cohort consisted of an additional 172 patients from the multi-center DEfibrillators To REduce Risk by MagnetIc ResoNance Imaging Evaluation (DETERMINE) trial. Cines were scored on a 17-segment model for wall motion and totaled for the Sum Motion Score (SMS): 0 = normal, 1 = mild hypokinesis, 2 = moderate to severe hypokinesis, 3 = akinesis, 4 = dyskinesis. Viability images were scored for infarct transmurality and totaled for the Sum Infarct Score (SIS): 0 = none, 1 = 1-25%, 2 = 26-50%, 3 = 51-75%, 4 = 76-100%. Quantitative EF and IS were manually planimetered using QMass (Medis). Results From the derivation cohort, the SMS correlated with EF (R=-0.91, p
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