title: Usefulness of peak systolic strain measurement by automated function imaging in the prediction of coronary perfusion in patients with acute myocardial infarction.
abstract: OBJECTIVE
  The usefulness of global longitudinal peak systolic strain (GLPSS) measurement by automated function imaging (AFI) in the prediction of perfusion status of infarct-related artery (IRA) before percutaneous coronary intervention (PCI) was evaluated.
  
  
  METHODS
  Sixty-nine patients with acute myocardial infarction (AMI) who underwent successful primary PCI were divided into two groups; the patients with occlusion of IRA (Group I, 41 patients, 63.0 ± 14.9 years of age, 31 males) versus the patients with patent IRA (Group II, 28 patients, 63.8 ± 11.2 years of age, 15 males). GLPSS by AFI and wall-motion score index (WMSI) were analyzed in both groups.
  
  
  RESULTS
  GLPSS was significantly decreased in Group I compared with Group II (-11.2 ± 3.7 vs. -14.1 ± 4.7%, p = 0.005), but WMSI (1.49 ± 0.28 vs. 1.35 ± 0.32, p = 0.062) did not differ between groups. GLPSS of infarct segments was significantly lower (-3.7 ± 5.4 vs. -11.4 ± 4.8%, p < 0.001), and WMSI of infarct segments was significantly higher (2.13 ± 0.57 vs. 1.66 ± 0.57, p = 0.001) in Group I compared with Group II. By receiver operation curve analysis, the area under the curve to predict IRA occlusion was 0.850 in GLPSS of infarct segments and 0.719 in WMSI of infarct segments. The optimal cut-off value to predict IRA occlusion was -9.4% in GLPSS of infarct segments (sensitivity, 85.4%; specificity, 67.9%) and 1.68 in WMSI of infarct segments (sensitivity, 78.0%; specificity, 60.7%).
  
  
  CONCLUSIONS
  The present study suggested that GLPSS measured by AFI is a more sensitive predictor of IRA occlusion than is WMSI before PCI. Routine measurement of GLPSS by AFI can be a very useful tool in risk stratification of AMI.
authors.affiliation: The Heart Center of Chonnam National University Hospital, Chonnam National University Research Institute of Medical Sciences, Gwangju, Korea.
authors.forename: Jung Sun
authors.initials: JS
authors.lastname: Cho
authors.forename: Kye Hun
authors.initials: KH
authors.lastname: Kim
authors.forename: Woo Seok
authors.initials: WS
authors.lastname: Lee
authors.forename: Hyun Ju
authors.initials: HJ
authors.lastname: Yoon
authors.forename: Nam Sik
authors.initials: NS
authors.lastname: Yoon
authors.forename: Young Joon
authors.initials: YJ
authors.lastname: Hong
authors.forename: Hyung Wook
authors.initials: HW
authors.lastname: Park
authors.forename: Ju Han
authors.initials: JH
authors.lastname: Kim
authors.forename: Youngkeun
authors.initials: Y
authors.lastname: Ahn
authors.forename: Myung Ho
authors.initials: MH
authors.lastname: Jeong
authors.forename: Jeong Gwan
authors.initials: JG
authors.lastname: Cho
authors.forename: Jong Chun
authors.initials: JC
authors.lastname: Park
authors.forename: Jung Chaee
authors.initials: JC
authors.lastname: Kang
mesh_terms: D000368:Aged; D015906:Angioplasty, Balloon, Coronary; D003326:Coronary Circulation; D004452:Echocardiography; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000000981:diagnostic imaging / Q000503:physiopathology* / Q000628:therapy; D015425:Myocardial Reperfusion; D013599:Systole