スギモト　ケン   Ken Sugimoto   杉本　研    所属   川崎医科大学  医学部 臨床医学　総合老年医学    職種   教授
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Use of echocardiography for predicting myocardial viability in patients with reperfused anterior wall myocardial infarction.
掲載誌名	正式名：The American journal of cardiology 略　 称：Am J Cardiol ISSNコード：00029149/00029149
掲載区分	国外
巻・号・頁	85(6),pp.744-748
著者・共著者	Iwakura K, Ito H, Nishikawa N, Sugimoto K, Shintani Y, Yamamoto K, Higashino Y, Masuyama T, Hori M, Fujii K
発行年月	2000/03
概要	Dobutamine stress echocardiography (DSE), myocardial contrast echocardiography (MCE), and ultrasonic tissue characterization with integrated backscatter are useful methods for assessing myocardial viability in acute myocardial infarction. In this study, we compared the potential of 3 methods for predicting myocardial viability in 38 patients with reperfused anterior wall acute myocardial infarction. We performed MCE shortly after coronary reperfusion with an intracoronary injection of microbubbles. We recorded 2-dimensional integrated backscatter images at rest and, then, performed low-dose (10 microg/kg/min) DSE 3 days later. In integrated backscatter images, we placed the region of interest in the midwall of the myocardial segment to reconstruct the cyclic variation of myocardial integrated backscatter. The myocardial segment was judged viable when it showed active contraction 3 months later. Among 74 segments analyzed, 34 were judged viable. Presence of contractile response during DSE predicted segmental viability with 91% sensitivity and 78% specificity. Intense and homogenous contrast enhancement with MCE predicted viability with 82% sensitivity and 73% specificity. The presence of synchronous contraction of cyclic variation predicted myocardial viability with 79% sensitivity and 83% specificity. There were no differences in sensitivity and specificity among the 3 methods. Thus, MCE and ultrasonic tissue characterization can predict myocardial viability as accurately as DSE in patients with acute myocardial infarction. The logistics of the methods may determine clinical application.
DOI	10.1016/s0002-9149(99)00852-8
PMID	12000051