title: Identification and further differentiation of subendocardial and transmural myocardial infarction by fast strain-encoded (SENC) magnetic resonance imaging at 3.0 Tesla.
abstract: OBJECTIVE
  To investigate whether subendocardial and transmural myocardial infarction can be identified and differentiated using the peak circumferential and longitudinal strains measured by fast strain-encoded (SENC).
  
  
  METHODS
  Nineteen patients with ischemic heart diseases underwent imaging with fast SENC and late gadolinium enhancement (LGE) MRI at 3 T. Fast SENC measurements were performed in three short-axis slices (basal, mid-ventricular and apical levels) and one long-axis view (four-chamber) to assess peak longitudinal and circumferential systolic strains.
  
  
  RESULTS
  All patients showed myocardial infarction with an average of 7 positive LGE segments. A total of 304 segments for longitudinal strains (LS) and 114 segments for circumferential strains (CS) could be analysed. Positive LGE segments showed lower peak CS and LS compared with the no LGE segments (P < 0.0001 for both). Segments with subendocardial infarction showed reduced CS and LS compared with the no LGE segments (P < 0.0001 for both). There was a significant difference in CS between subendocardial and transmural infarct segments (P = 0.03), but no significant difference in LS between them (P = 0.64).
  
  
  CONCLUSIONS
  Fast SENC can identify old myocardial infarction and differentiate subendocardial from transmural infarction.
authors.affiliation: Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Kita15, Nishi 7, kita-ku, Sapporo, Japan. norikooyama@med.hokudai.ac.jp
authors.forename: Noriko
authors.initials: N
authors.lastname: Oyama-Manabe
authors.forename: Naoki
authors.initials: N
authors.lastname: Ishimori
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Sugimori
authors.forename: Marc
authors.initials: M
authors.lastname: Van Cauteren
authors.forename: Kohsuke
authors.initials: K
authors.lastname: Kudo
authors.forename: Osamu
authors.initials: O
authors.lastname: Manabe
authors.forename: Tomoyuki
authors.initials: T
authors.lastname: Okuaki
authors.forename: Tamotsu
authors.initials: T
authors.lastname: Kamishima
authors.forename: Yoichi M
authors.initials: YM
authors.lastname: Ito
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Tsutsui
authors.forename: Khin Khin
authors.initials: KK
authors.lastname: Tha
authors.forename: Satoshi
authors.initials: S
authors.lastname: Terae
authors.forename: Hiroki
authors.initials: H
authors.lastname: Shirato
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D019540:Area Under Curve; D003937:Diagnosis, Differential; D003952:Diagnostic Imaging / Q000379:methods; D005260:Female; D005355:Fibrosis; D005682:Gadolinium / Q000494:pharmacology*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008495:Medical Oncology / Q000379:methods*; D008875:Middle Aged; D009203:Myocardial Infarction / Q000175:diagnosis* / Q000503:physiopathology*; D012680:Sensitivity and Specificity
chemical_list: D005682:Gadolinium