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Diagnostic accuracy of 64-slice multidetector computed tomography for selecting coronary artery bypass graft surgery candidates

DC Field Value Language
dc.contributor.author김영진-
dc.contributor.author김중선-
dc.contributor.author유경종-
dc.contributor.author이혜정-
dc.contributor.author최규옥-
dc.contributor.author최병욱-
dc.contributor.author허진-
dc.date.accessioned2014-12-20T16:25:03Z-
dc.date.available2014-12-20T16:25:03Z-
dc.date.issued2011-
dc.identifier.issn0022-5223-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/92676-
dc.description.abstractOBJECTIVE: The objective of our study was to investigate the diagnostic accuracy of computed tomographic coronary angiography for the selection of candidates for coronary artery bypass graft surgery. METHODS: Institutional review board approval was obtained. We included 172 patients (mean age, 63 years; 127 men and 45 women) with a suspicion of coronary artery disease who underwent both computed tomographic coronary angiography and conventional coronary angiography. We established eligible criteria for coronary artery bypass graft surgery based on American College of Cardiology/American Heart Association practice guidelines: 3-vessel disease, left main coronary artery disease, and left main coronary artery equivalent disease. Results of computed tomographic coronary angiography and conventional coronary angiography were reviewed retrospectively by 2 radiologists and 2 cardiologists who were unaware of the other examiners' findings. Diagnostic performances of computed tomographic coronary angiography were calculated, with conventional coronary angiography as the reference standard. RESULTS: The overall sensitivity, specificity, positive predictive value, and negative predictive value of computed tomographic coronary angiography for the selection of coronary artery bypass graft surgery candidates were 85.9%, 96.0%, 93.8%, and 90.7%, respectively. We also obtained high diagnostic performances for 3-vessel disease (sensitivity, 83.1%; specificity, 96.5%; positive predictive value, 92.5%; negative predictive value, 91.6%), left main coronary artery disease (sensitivity, 94.7%; specificity, 96.7%; positive predictive value, 78.3%; negative predictive value, 99.3%), and left main coronary artery equivalent disease (sensitivity, 100%; specificity, 100%; positive predictive value, 100%; negative predictive value, 100%). CONCLUSIONS: Patients selected as candidates for coronary artery bypass graft surgery with conventional coronary angiography can also be relatively accurately classified by using computed tomographic coronary angiography with 64-slice multidetector computed tomography.-
dc.description.statementOfResponsibilityopen-
dc.format.extent571~577-
dc.relation.isPartOfJOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHCoronaryAngiography/methods*-
dc.subject.MESHCoronaryArteryBypass*-
dc.subject.MESHCoronaryArteryDisease/diagnosticimaging*-
dc.subject.MESHCoronaryArteryDisease/surgery*-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHObserver Variation-
dc.subject.MESHPatient Selection*-
dc.subject.MESHPractice Guidelines as Topic-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHReproducibility of Results-
dc.subject.MESHRepublic of Korea-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSensitivity and Specificity-
dc.subject.MESHTomography, X-RayComputed*-
dc.titleDiagnostic accuracy of 64-slice multidetector computed tomography for selecting coronary artery bypass graft surgery candidates-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학)-
dc.contributor.googleauthorHye-Jeong Lee-
dc.contributor.googleauthorJung-Sun Kim-
dc.contributor.googleauthorYoung Jin Kim-
dc.contributor.googleauthorJin Hur-
dc.contributor.googleauthorKyung-Jong Yoo-
dc.contributor.googleauthorKyu Ok Choe-
dc.contributor.googleauthorByoung Wook Choi-
dc.identifier.doi10.1016/j.jtcvs.2010.03.020-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00961-
dc.contributor.localIdA02453-
dc.contributor.localIdA04042-
dc.contributor.localIdA04059-
dc.contributor.localIdA04370-
dc.contributor.localIdA03320-
dc.contributor.localIdA00727-
dc.relation.journalcodeJ01906-
dc.identifier.eissn1097-685X-
dc.identifier.pmid20416891-
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S0022522310003156-
dc.contributor.alternativeNameKim, Young Jin-
dc.contributor.alternativeNameKim, Jung Sun-
dc.contributor.alternativeNameYoo, Kyung Jong-
dc.contributor.alternativeNameLee, Hye Jeong-
dc.contributor.alternativeNameChoe, Kyu Ok-
dc.contributor.alternativeNameChoi, Byoung Wook-
dc.contributor.alternativeNameHur, Jin-
dc.contributor.affiliatedAuthorKim, Jung Sun-
dc.contributor.affiliatedAuthorYoo, Kyung Jong-
dc.contributor.affiliatedAuthorChoe, Kyu Ok-
dc.contributor.affiliatedAuthorChoi, Byoung Wook-
dc.contributor.affiliatedAuthorHur, Jin-
dc.contributor.affiliatedAuthorLee, Hye Jeong-
dc.contributor.affiliatedAuthorKim, Young Jin-
dc.rights.accessRightsnot free-
dc.citation.volume141-
dc.citation.number2-
dc.citation.startPage571-
dc.citation.endPage577-
dc.identifier.bibliographicCitationJOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, Vol.141(2) : 571-577, 2011-
dc.identifier.rimsid28690-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Thoracic and Cardiovascular Surgery (흉부외과학교실) > 1. Journal Papers

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