Identification and further differentiation of subendocardial and transmural myocardial infarction by fast strain-encoded (SENC) magnetic resonance imaging at 3.0 Tesla

Noriko Oyama-Manabe, Naoki Ishimori, Hiroyuki Sugimori, Marc Van Cauteren, Kohsuke Kudo, Osamu Manabe, Tomoyuki Okuaki, Tamotsu Kamishima, Yoichi M. Ito, Hiroyuki Tsutsui, Khin Khin Tha, Satoshi Terae, Hiroki Shirato

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

Objectives: 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.

Original languageEnglish
Pages (from-to)2362-2368
Number of pages7
JournalEuropean Radiology
Volume21
Issue number11
DOIs
Publication statusPublished - Nov 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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