{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,7]],"date-time":"2023-10-07T09:15:29Z","timestamp":1696670129478},"reference-count":29,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2016,8,27]],"date-time":"2016-08-27T00:00:00Z","timestamp":1472256000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100003710","name":"Korea Health Industry Development Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003710","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cathet Cardio Intervent"],"published-print":{"date-parts":[[2017,6]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Although ischemia\u2010guided revascularization improves clinical outcomes, morphological determinants of clinically relevant myocardial ischemia have not been studied. To identify intravascular ultrasound (IVUS)\u2010derived anatomical parameters for predicting myocardial perfusion defect and its extent.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A total of 103 patients (88 stable and 15 unstable angina) with 153 lesions (angiographic diameter stenosis of 30\u201380%) underwent stress myocardial perfusion computed tomography (CT) and IVUS pre\u2010procedure. The volume of CT perfusion defect and %CT perfusion defect in the target vessel territories were measured.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The CT perfusion defect was seen in 76 (50%) lesions. The independent determinants for the presence of CT perfusion defect were IVUS\u2010minimal lumen area (MLA) (adjusted OR\u2009=\u20090.56, 95% CI\u2009=\u20090.38\u20130.82), plaque burden (adjusted OR\u2009=\u20091.07, 95% CI\u2009=\u20091.02\u20131.11) and involvement of left main or left anterior descending artery (adjusted OR\u2009=\u20094.13, 95% CI\u2009=\u20091.75\u20139.78, all <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05). The CT perfusion defect was predicted by IVUS\u2010MLA &lt;2.28mm<jats:sup>2<\/jats:sup> (sensitivity 74%, specificity 82%) and plaque burden &gt;77% (sensitivity 79%, specificity 78%) as thresholds. The independent determinants for the volume of CT perfusion defect were the involvement of left main or left anterior descending artery (<jats:italic>\u03b2<\/jats:italic>\u2009=\u200916.43, standard errors\u2009=\u20094.387, <jats:italic>P<\/jats:italic>\u2009=\u20090.020) and a greater plaque burden (<jats:italic>\u03b2<\/jats:italic>\u2009=\u20090.56, standard errors\u2009=\u20090.163, <jats:italic>P<\/jats:italic>\u2009=\u20090.026).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>IVUS\u2010derived morphological parameters were useful to predict the presence of CT perfusion defect and the size of myocardial ischemia that were primarily determined by lesion severity and subtended myocardial territory. \u00a9 2016 Wiley Periodicals, Inc.<\/jats:p><\/jats:sec>","DOI":"10.1002\/ccd.26710","type":"journal-article","created":{"date-parts":[[2016,8,27]],"date-time":"2016-08-27T14:49:37Z","timestamp":1472309377000},"source":"Crossref","is-referenced-by-count":3,"title":["Intravascular ultrasound\u2010derived morphological predictors of myocardial ischemia assessed by stress myocardial perfusion computed tomography"],"prefix":"10.1002","volume":"89","author":[{"given":"Soo\u2010Jin","family":"Kang","sequence":"first","affiliation":[{"name":"Department of Cardiology University of Ulsan College of Medicine, Asan Medical Center Seoul Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong Hyun","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Radiology University of Ulsan College of Medicine, Asan Medical Center Seoul Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyun Jung","family":"Koo","sequence":"additional","affiliation":[{"name":"Department of 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