title: Relation between global left ventricular longitudinal strain assessed with novel automated function imaging and biplane left ventricular ejection fraction in patients with coronary artery disease.
abstract: OBJECTIVE
  Automated function imaging (AFI) is a novel algorithm based on speckle-tracking imaging that can be used for assessment of global longitudinal strain of the left ventricle. The purpose of this study was to evaluate the relation between global longitudinal peak systolic strain average (GLPSS Avg) assessed by AFI and left ventricular ejection fraction (LVEF).
  
  
  METHODS
  The study population consisted of 222 consecutive patients with coronary artery disease (99 patients with acute ST-segment elevation myocardial infarction [STEMI] and 123 patients with advanced ischemic heart failure) and 20 age-matched controls. LVEF was calculated by Simpson's rule. The GLPSS Avg was obtained by AFI.
  
  
  RESULTS
  In the overall study group (65 +/- 10 years, 77% were men), mean GLPSS Avg was 11.1% +/- 4.8% and mean LVEF was 37% +/- 14%. Linear regression analysis showed a good correlation between GLPSS Avg and biplane LVEF for the overall study population (r = 0.83; P < .001). However, in patients with STEMI or heart failure the correlations were less strong (r = 0.42 and r = 0.62, both P < .001).
  
  
  CONCLUSIONS
  Systolic global longitudinal strain assessed by AFI was linearly related to biplane LVEF. In patients with STEMI or heart failure, less strong correlations were observed, suggesting that these 2 parameters reflect different aspects of systolic left ventricular function.
authors.affiliation: Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
authors.forename: Victoria
authors.initials: V
authors.lastname: Delgado
authors.forename: Sjoerd A
authors.initials: SA
authors.lastname: Mollema
authors.forename: Claudia
authors.initials: C
authors.lastname: Ypenburg
authors.forename: Laurens F
authors.initials: LF
authors.lastname: Tops
authors.forename: Ernst E
authors.initials: EE
authors.lastname: van der Wall
authors.forename: Martin J
authors.initials: MJ
authors.lastname: Schalij
authors.forename: Jeroen J
authors.initials: JJ
authors.lastname: Bax
mesh_terms: D000368:Aged; D000465:Algorithms; D001185:Artificial Intelligence; D003324:Coronary Artery Disease / Q000150:complications / Q000000981:diagnostic imaging* / Q000503:physiopathology; D004452:Echocardiography / Q000379:methods*; D055119:Elastic Modulus; D054459:Elasticity Imaging Techniques / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013223:Statistics as Topic; D013318:Stroke Volume; D018487:Ventricular Dysfunction, Left / Q000000981:diagnostic imaging* / Q000209:etiology / Q000503:physiopathology