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

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/50369

Title: Identification and further differentiation of subendocardial and transmural myocardial infarction by fast strain-encoded (SENC) magnetic resonance imaging at 3.0 Tesla
Authors: Oyama-Manabe, Noriko Browse this author →KAKEN DB
Ishimori, Naoki Browse this author →KAKEN DB
Sugimori, Hiroyuki Browse this author
Van Cauteren, Marc Browse this author
Kudo, Kohsuke Browse this author →KAKEN DB
Manabe, Osamu Browse this author
Okuaki, Tomoyuki Browse this author
Kamishima, Tamotsu Browse this author →KAKEN DB
Ito, Yoichi M. Browse this author
Tsutsui, Hiroyuki Browse this author →KAKEN DB
Tha, Khin Khin Browse this author →KAKEN DB
Terae, Satoshi Browse this author →KAKEN DB
Shirato, Hiroki Browse this author →KAKEN DB
Keywords: Magnetic resonance imaging
Myocardial infarction
Gadolinium
Nephrogenic systemic fibrosis
Diagnosis
Issue Date: Nov-2011
Publisher: Springer-Verlag
Journal Title: European Radiology
Volume: 21
Issue: 11
Start Page: 2362
End Page: 2368
Publisher DOI: 10.1007/s00330-011-2177-4
PMID: 21688005
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 3T. 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.
Rights: The original publication is available at www.springerlink.com
Type: article (author version)
URI: http://hdl.handle.net/2115/50369
Appears in Collections:北海道大学病院 (Hokkaido University Hospital) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 真鍋 徳子

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