title: Diagnostic value of segmental longitudinal strain by automated function imaging in coronary artery disease without left ventricular dysfunction.
abstract: BACKGROUND
  The aim of this study was to investigate the role of segmental longitudinal strain for the diagnosis of coronary artery disease (CAD) assessed by automated function imaging.
  
  
  METHODS
  One hundred fifty-two subjects (mean age, 63 ± 12 years; 77 men) referred for assessment of cardiac function under suspicion of CAD were recruited for this study. Patients with left ventricular dysfunction or with acute coronary syndromes were excluded.
  
  
  RESULTS
  Peak systolic global longitudinal strain (GLS) was significantly decreased in patients with CAD. Peak segmental longitudinal strain difference (LSD) and its ratio to peak systolic GLS were significant higher in patients with CAD. The areas under receiver operating characteristic curves for the diagnosis of CAD were 0.813 for peak systolic GLS, 0.851 for the number of abnormal segments, 0.805 for peak segmental LSD, and 0.862 for the ratio of peak segmental LSD to peak systolic GLS. Using 1.0 as a cutoff point for the ratio of peak segmental LSD to peak systolic GLS, sensitivity was 77.3% and specificity 79.2%.
  
  
  CONCLUSIONS
  This study suggests that it may be possible to assess CAD with strain by automated function imaging, but further larger scale studies are needed to confirm this.
authors.affiliation: Department of Internal Medicine, National Cheng Kung University Medical Center, Tainan, Taiwan. wctsai@ksmail.seed.net.tw
authors.forename: Wei-Chuan
authors.initials: WC
authors.lastname: Tsai
authors.forename: Yen-Wen
authors.initials: YW
authors.lastname: Liu
authors.forename: Yao-Yi
authors.initials: YY
authors.lastname: Huang
authors.forename: Chih-Chan
authors.initials: CC
authors.lastname: Lin
authors.forename: Cheng-Han
authors.initials: CH
authors.lastname: Lee
authors.forename: Liang-Miin
authors.initials: LM
authors.lastname: Tsai
mesh_terms: D000368:Aged; D016022:Case-Control Studies; D016001:Confidence Intervals; D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging* / Q000503:physiopathology; D003326:Coronary Circulation / Q000502:physiology; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D010363:Pattern Recognition, Automated / Q000379:methods*; D012016:Reference Values; D015203:Reproducibility of Results; D018570:Risk Assessment; D013318:Stroke Volume / Q000502:physiology; D018487:Ventricular Dysfunction, Left / Q000503:physiopathology