title: Comparison of model-based and expert-rule based electrocardiographic identification of the culprit artery in patients with acute coronary syndrome.
abstract: OBJECTIVE
  Culprit coronary artery assessment in the triage ECG of patients with suspected acute coronary syndrome (ACS) is relevant a priori knowledge preceding percutaneous coronary intervention (PCI). We compared a model-based automated method (Olson method) with an expert-rule based method for the culprit artery assessment.
  
  
  METHODS
  In each of the 53 patients who were admitted with the working diagnosis of suspected ACS, scheduled for emergent angiography with a view on revascularization as initial treatment and subsequently found to have an angiographically documented completely occluded culprit artery, culprit artery location was assessed in the preceding ECG by both the model-based Olson method and the expert-rule based method that considered either visual or computer-measured J-point amplitudes. ECG culprit artery estimations were compared with the angiographic culprit lesion locations. Proportions of correct classifications were compared by a Z test at the 5% significance level.
  
  
  RESULTS
  The Olson method performed slightly, but not significantly, better, when the expert-rule based method used visual assessment of J-point amplitudes (88.7% versus 81.1% correct; P=0.28). However, the Olson method performed significantly better when the expert-rule based method used computer-measured J-point amplitudes (88.7% versus 71.7% correct; P<0.05).
  
  
  CONCLUSIONS
  The automated model-based Olson method performed at least at the level of expert cardiologists using a manual rule-based method.
authors.affiliation: Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
authors.forename: Vivian P
authors.initials: VP
authors.lastname: Kamphuis
authors.affiliation: Department of Cardiology, Duke University, NC, USA.
authors.forename: Galen S
authors.initials: GS
authors.lastname: Wagner
authors.affiliation: Department of Clinical Physiology, Lund University and Skane University Hospital, Lund, Sweden.
authors.forename: Olle
authors.initials: O
authors.lastname: Pahlm
authors.affiliation: Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
authors.forename: Sumche
authors.initials: S
authors.lastname: Man
authors.affiliation: ECG-TECH Corp, Huntington, NY.
authors.forename: Charles W
authors.initials: CW
authors.lastname: Olson
authors.affiliation: International Laser Center, Bratislava, Slovak Republic.
authors.forename: Ljuba
authors.initials: L
authors.lastname: Bacharova
authors.affiliation: Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands. Electronic address: c.a.swenne@lumc.nl.
authors.forename: Cees A
authors.initials: CA
authors.lastname: Swenne
mesh_terms: D054058:Acute Coronary Syndrome / Q000175:diagnosis* / Q000209:etiology / Q000503:physiopathology*; D000465:Algorithms; D003198:Computer Simulation; D003324:Coronary Artery Disease / Q000150:complications / Q000175:diagnosis / Q000503:physiopathology; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D005103:Expert Systems; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: Acute coronary syndrome; Culprit artery assessment; Expert-rule based method; Model-based Olson method