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Assessment of myocardial viability based on dual-energy computed tomography in patients with chronic myocardial infarction: comparison with magnetic resonance imaging

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dc.contributor.author심지영-
dc.contributor.author이병권-
dc.contributor.author장혁재-
dc.contributor.author정남식-
dc.contributor.author조인정-
dc.contributor.author홍그루-
dc.date.accessioned2018-07-20T08:08:40Z-
dc.date.available2018-07-20T08:08:40Z-
dc.date.issued2017-
dc.identifier.issn0899-7071-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/160876-
dc.description.abstractPURPOSE: To evaluate the diagnostic performance of dual-energy computed tomography (DECT) for the assessment of myocardial viability compared with magnetic resonance imaging (MRI) in patients with chronic myocardial infarction (CMI). METHODS AND MATERIAL: Twenty-six patients were prospectively enrolled, who underwent DECT and MRI at delayed phase. The infarct volumes for DECT and MRI were measured. RESULTS: In per-segment and per-vessel analysis, DECT showed excellent diagnostic performance compared with MRI (diagnostic accuracy: 86.2%, 81.2% respectively). In volume analysis, DECT correlated well with MRI (r=0.966, p<0.0001). CONCLUSIONS: DECT has excellent diagnostic performance for detecting CMI.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherElsevier-
dc.relation.isPartOfCLINICAL IMAGING-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAged-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMagnetic Resonance Imaging/methods*-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHMyocardial Infarction/pathology*-
dc.subject.MESHSensitivity and Specificity-
dc.subject.MESHTomography, X-Ray Computed/methods*-
dc.titleAssessment of myocardial viability based on dual-energy computed tomography in patients with chronic myocardial infarction: comparison with magnetic resonance imaging-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Internal Medicine-
dc.contributor.googleauthorSang Jin Ha-
dc.contributor.googleauthorYeonggul Jang-
dc.contributor.googleauthorByoung Kwon Lee-
dc.contributor.googleauthorIn-Jeong Cho-
dc.contributor.googleauthorChi Young Shim-
dc.contributor.googleauthorGeu-Ru Hong-
dc.contributor.googleauthorNamsik Chung-
dc.contributor.googleauthorHyuk-Jae Chang-
dc.identifier.doi10.1016/j.clinimag.2017.06.003-
dc.contributor.localIdA02213-
dc.contributor.localIdA02793-
dc.contributor.localIdA03490-
dc.contributor.localIdA03585-
dc.contributor.localIdA03892-
dc.contributor.localIdA04386-
dc.relation.journalcodeJ00577-
dc.identifier.eissn1873-4499-
dc.identifier.pmid28672224-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0899707117301122-
dc.contributor.alternativeNameShim, Chi Young-
dc.contributor.alternativeNameLee, Byoung Kwon-
dc.contributor.alternativeNameChang, Hyuck Jae-
dc.contributor.alternativeNameChung, Nam Sik-
dc.contributor.alternativeNameCho, In Jeong-
dc.contributor.alternativeNameHong, Geu Ru-
dc.contributor.affiliatedAuthorShim, Chi Young-
dc.contributor.affiliatedAuthorLee, Byoung Kwon-
dc.contributor.affiliatedAuthorChang, Hyuck Jae-
dc.contributor.affiliatedAuthorChung, Nam Sik-
dc.contributor.affiliatedAuthorCho, In Jeong-
dc.contributor.affiliatedAuthorHong, Geu Ru-
dc.citation.volume46-
dc.citation.startPage8-
dc.citation.endPage13-
dc.identifier.bibliographicCitationCLINICAL IMAGING, Vol.46 : 8-13, 2017-
dc.identifier.rimsid60759-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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