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Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound

DC Field Value Language
dc.contributor.author이병권-
dc.contributor.author장양수-
dc.contributor.author장혁재-
dc.contributor.author정남식-
dc.contributor.author허란-
dc.contributor.author홍명기-
dc.date.accessioned2016-02-04T12:00:42Z-
dc.date.available2016-02-04T12:00:42Z-
dc.date.issued2015-
dc.identifier.issn0938-7994-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/141694-
dc.description.abstractOBJECTIVE: To evaluate the diagnostic performance of automated coronary atherosclerotic plaque quantification (QCT) by different users (expert/non-expert/automatic). METHODS: One hundred fifty coronary artery segments from 142 patients who underwent coronary computed tomography angiography (CCTA) and intravascular ultrasound (IVUS) were analyzed. Minimal lumen area (MLA), maximal lumen area stenosis percentage (%AS), mean plaque burden percentage (%PB), and plaque volume were measured semi-automatically by expert, non-expert, and fully automatic QCT analyses, and then compared to IVUS. RESULTS: Between IVUS and expert QCT analysis, the correlation coefficients (r) for the MLA, %AS, %PB, and plaque volume were excellent: 0.89 (p < 0.001), 0.84 (p < 0.001), 0.91 (p < 0.001), and 0.94 (p < 0.001), respectively. There were no significant differences in the mean parameters (all p values >0.05) except %AS (p = 0.01). The automatic QCT analysis showed comparable performance to non-expert QCT analysis, showing correlation coefficients (r) of the MLA (0.80 vs. 0.82), %AS (0.82 vs. 0.80), %PB (0.84 vs. 0.73), and plaque volume (0.84 vs. 0.79) when they were compared to IVUS, respectively. CONCLUSION: Fully automatic QCT analysis showed clinical utility compared with IVUS, as well as a compelling performance when compared with semiautomatic analyses. KEY POINTS: • Coronary CTA enables the assessment of coronary atherosclerotic plaque. • High-risk plaque characteristics and overall plaque burden can predict future cardiac events. • Coronary atherosclerotic plaque quantification is currently unfeasible in practice. • Quantitative computed tomography coronary plaque analysis software (QCT) enables feasible plaque quantification. • Fully automatic QCT analysis shows excellent performance.-
dc.description.statementOfResponsibilityopen-
dc.format.extent3073~3083-
dc.relation.isPartOfEUROPEAN RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAged-
dc.subject.MESHAlgorithms-
dc.subject.MESHCoronary Angiography/methods-
dc.subject.MESHCoronary Artery Disease/pathology*-
dc.subject.MESHFeasibility Studies-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHObserver Variation-
dc.subject.MESHPlaque, Atherosclerotic/diagnostic imaging-
dc.subject.MESHPlaque, Atherosclerotic/pathology*-
dc.subject.MESHTomography, X-Ray Computed/methods-
dc.subject.MESHUltrasonography, Interventional/methods-
dc.titleClinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학)-
dc.contributor.googleauthorHyung-Bok Park-
dc.contributor.googleauthorByoung Kwon Lee-
dc.contributor.googleauthorSanghoon Shin-
dc.contributor.googleauthorRan Heo-
dc.contributor.googleauthorReza Arsanjani-
dc.contributor.googleauthorPieter H. Kitslaar-
dc.contributor.googleauthorAlexander Broersen-
dc.contributor.googleauthorJouke Dijkstra-
dc.contributor.googleauthorSung Gyun Ahn-
dc.contributor.googleauthorJames K. Min-
dc.contributor.googleauthorHyuk-Jae Chang-
dc.contributor.googleauthorMyeong-Ki Hong-
dc.contributor.googleauthorYangsoo Jang-
dc.contributor.googleauthorNamsik Chung-
dc.identifier.doi10.1007/s00330-015-3698-z-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA02793-
dc.contributor.localIdA03448-
dc.contributor.localIdA03490-
dc.contributor.localIdA03585-
dc.contributor.localIdA04348-
dc.contributor.localIdA04391-
dc.relation.journalcodeJ00851-
dc.identifier.eissn1432-1084-
dc.identifier.pmid25994190-
dc.identifier.urlhttp://link.springer.com/article/10.1007%2Fs00330-015-3698-z-
dc.subject.keywordCoronary atherosclerotic plaque-
dc.subject.keywordCoronary computed tomography angiography-
dc.subject.keywordAutomatic quantification-
dc.subject.keywordPlaque volume-
dc.subject.keywordIntravascular ultrasound-
dc.contributor.alternativeNameLee, Byoung Kwon-
dc.contributor.alternativeNameJang, Yang Soo-
dc.contributor.alternativeNameChang, Hyuck Jae-
dc.contributor.alternativeNameChung, Nam Sik-
dc.contributor.alternativeNameHeo, Ran-
dc.contributor.alternativeNameHong, Myeong Ki-
dc.contributor.affiliatedAuthorLee, Byoung Kwon-
dc.contributor.affiliatedAuthorJang, Yang Soo-
dc.contributor.affiliatedAuthorChang, Hyuck Jae-
dc.contributor.affiliatedAuthorChung, Nam Sik-
dc.contributor.affiliatedAuthorHeo, Ran-
dc.contributor.affiliatedAuthorHong, Myeong Ki-
dc.rights.accessRightsnot free-
dc.citation.volume25-
dc.citation.number10-
dc.citation.startPage3073-
dc.citation.endPage3083-
dc.identifier.bibliographicCitationEUROPEAN RADIOLOGY, Vol.25(10) : 3073-3083, 2015-
dc.identifier.rimsid30821-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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