title: Quantitative prediction of improvement in cardiac function after revascularization with MR imaging and modeling: initial results.
abstract: OBJECTIVE
  To evaluate a model that can be used quantitatively to predict changes in postrevascularization left ventricular function based on classification of myocardial tissue as hibernating, scarred, or normal with cine magnetic resonance (MR) imaging.
  
  
  METHODS
  Eleven patients with chronic left ventricular dysfunction were studied before and after revascularization with cine MR imaging. Regional myocardial contractility and wall thickness were used in the model to predict postrevascularization ejection fraction (EF). The actual EF from the postrevascularization MR images was compared with the EF from the prerevascularization images predicted with the model by using regression analysis and Bland-Altman analysis.
  
  
  RESULTS
  Correlation between the actual EF after revascularization and the EF predicted by using the model yielded an R value of 0.98, with a standard error of 1.3 EF percentage points. Predicting changes in function in a myocardial segment was less successful because only 55% of segments classified as hibernating actually improved resting function after revascularization. In nonimproved segments, 78% were either adjacent to infarcted segments or had nontransmural wall thinning.
  
  
  CONCLUSIONS
  A simple mathematical model combined with functional information provided by MR imaging was used to predict improvements in global EF resulting from revascularization.
authors.affiliation: Frederik Philips MR Research Center, Department of Radiology, Emory University School of Medicine, 1364 Clifton Rd NE, Atlanta, GA 30322, USA. jnoshin@emory.edu
authors.forename: J N
authors.initials: JN
authors.lastname: Oshinski
authors.forename: H C
authors.initials: HC
authors.lastname: Han
authors.forename: D N
authors.initials: DN
authors.lastname: Ku
authors.forename: R I
authors.initials: RI
authors.lastname: Pettigrew
mesh_terms: D000368:Aged; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D009204:Myocardial Revascularization; D017682:Myocardial Stunning / Q000503:physiopathology; D011237:Predictive Value of Tests; D013318:Stroke Volume; D018487:Ventricular Dysfunction, Left / Q000473:pathology* / Q000503:physiopathology* / Q000601:surgery