title: Transmural peak systolic strain and strain rate predict transmural myocardial blood flow in a pig myocardial infarction model.
abstract: OBJECTIVE
  To test the hypothesis that the transmural variation of the longitudinal myocardial peak systolic strain (Sp) and strain rate (SRp) can predict the transmural distribution of myocardial blood flow (MBF) in a pig model of acute myocardial infarction.
  
  
  METHODS
  The longitudinal Sp and SRp were measured by echocardiography in both subendocardium (Sp-endo, SRp-endo) and subepicardium (Sp-epi, SRp-epi) in the normal, ischemic and infarct segments, respectively. The MBF in corresponding sites was measured by colored microspheres technique. The subendocardial to subepicardial ratio of Sp (Sp-EER), SRp (SRp-EER) and MBF (MBF-EER) were calculated.
  
  
  RESULTS
  In the normal segments, Sp-endo and SRp-endo were significantly higher than Sp-epi and SRp-ep, respectively. In the ischemic segments, Sp-endo and SRp-endo decreased to a greater extent than Sp-epi and SRp-epi, respectively. In the infarct segments, Sp-endo, SRp-endo Sp-epi and SRp-epi were all remarkably reduced. High correlations were found between Sp and SRp measurements and MBF in both subendocardium and subepicardium (r = -0.75 to -0.84, p < 0.001).
  
  
  CONCLUSIONS
  Strain and strain rate imaging provides a reliable approach to the noninvasive estimation of the transmural blood distribution across the normal, ischemic and infarct segments.
authors.affiliation: Key Laboratory of Cardiovascular Remodelling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health, Shandong University Qilu Hospital, 107 Wen Hua Xi Road, Jinan, Shandong, China.
authors.forename: Huixia
authors.initials: H
authors.lastname: Lu
authors.forename: Guihua
authors.initials: G
authors.lastname: Yao
authors.forename: Huili
authors.initials: H
authors.lastname: Lin
authors.forename: Xinsheng
authors.initials: X
authors.lastname: Xu
authors.forename: Changjiang
authors.initials: C
authors.lastname: Li
authors.forename: Xiaolu
authors.initials: X
authors.lastname: Li
authors.forename: Huiwen
authors.initials: H
authors.lastname: Sun
authors.forename: Lihang
authors.initials: L
authors.lastname: Qi
authors.forename: Chengmei
authors.initials: C
authors.lastname: Zhang
authors.forename: Fenglei
authors.initials: F
authors.lastname: Zhang
authors.forename: Mengxiong
authors.initials: M
authors.lastname: Tang
authors.forename: Mei
authors.initials: M
authors.lastname: Zhang
authors.forename: Yun
authors.initials: Y
authors.lastname: Zhang
mesh_terms: D000818:Animals; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging / Q000503:physiopathology*; D003326:Coronary Circulation / Q000502:physiology*; D004195:Disease Models, Animal; D004452:Echocardiography / Q000706:statistics & numerical data; D008297:Male; D009203:Myocardial Infarction / Q000000981:diagnostic imaging / Q000503:physiopathology*; D015588:Observer Variation; D011237:Predictive Value of Tests; D013552:Swine; D013556:Swine, Miniature; D013599:Systole / Q000502:physiology*