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Relationship of Plaque Features at Coronary CT to Coronary Hemodynamics and Cardiovascular Events

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dc.contributor.author장혁재-
dc.date.accessioned2023-04-07T01:32:03Z-
dc.date.available2023-04-07T01:32:03Z-
dc.date.issued2022-12-
dc.identifier.issn0033-8419-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/193970-
dc.description.abstractBackground Plaque assessments with coronary CT angiography (CCTA) and coronary flow indexes have prognostic implications. Purpose To investigate the association and additive prognostic value of plaque burden and characteristics at CCTA with coronary pressure and flow. Materials and Methods Data of patients with coronary artery disease who underwent CCTA within 90 days before physiologic assessments at tertiary cardiovascular centers between January 2011 and December 2018 were retrospectively analyzed, which included fractional flow reserve (FFR), resting distal coronary artery pressure (Pd)-to-aortic pressure (Pa) ratio (hereafter, Pd/Pa), coronary flow reserve (CFR), hyperemic flow (1/hyperemic mean transit time [Tmn]), resting flow (1/resting Tmn), and index of microcirculatory resistance (IMR). Four high-risk plaque (HRP) attributes at CCTA defined high disease burden (plaque burden, ≥70%; minimum lumen area, <4 mm2) and adverse plaque (low-attenuation plaque, positive remodeling). Their lesion-specific relationships with coronary hemodynamic parameters and major adverse cardiovascular events (MACE) were investigated using a generalized estimating equation and marginal Cox model. Results Among 406 lesions from 335 patients (mean age, 67 years ± 10 [SD]; 259 men), high disease burden is predicted by FFR (odds ratio [OR], 0.55; P < .001), resting Pd/Pa (OR, 0.47; P < .001), CFR (OR, 0.85; P = .004), and hyperemic flow (OR, 0.91; P = .03), and adverse plaque by FFR (OR, 0.67; P < .001), resting Pd/Pa (OR, 0.69; P = .001), hyperemic flow (OR, 0.76; P = .006), resting flow (OR, 0.54; P = .001), and IMR (OR, 1.27; P = .008). High disease burden (hazard ratio [HR], 4.0; P = .004) and adverse plaque (HR, 2.7; P = .02) were associated with a higher risk of MACE (n = 27) over median 2.9-year follow-up. In six lesion subsets with normal flow or pressure, at least three HRP attributes predicted a higher MACE rate (HR range, 2.6-6.3). Conclusion High-risk plaque features and plaque burden at coronary CT angiography were associated with cardiovascular events independent of coronary hemodynamic parameters. Clinical trial registration no. NCT04037163-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherRadiological Society of North America-
dc.relation.isPartOfRADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHAged-
dc.subject.MESHComputed Tomography Angiography / methods-
dc.subject.MESHCoronary Angiography / methods-
dc.subject.MESHCoronary Artery Disease* / complications-
dc.subject.MESHCoronary Artery Disease* / diagnostic imaging-
dc.subject.MESHCoronary Stenosis* / diagnostic imaging-
dc.subject.MESHCoronary Vessels / diagnostic imaging-
dc.subject.MESHCoronary Vessels / physiology-
dc.subject.MESHFemale-
dc.subject.MESHFractional Flow Reserve, Myocardial* / physiology-
dc.subject.MESHHemodynamics-
dc.subject.MESHHumans-
dc.subject.MESHHyperemia*-
dc.subject.MESHMale-
dc.subject.MESHMicrocirculation-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPlaque, Atherosclerotic* / complications-
dc.subject.MESHPlaque, Atherosclerotic* / diagnostic imaging-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHRetrospective Studies-
dc.titleRelationship of Plaque Features at Coronary CT to Coronary Hemodynamics and Cardiovascular Events-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학교실)-
dc.contributor.googleauthorSeokhun Yang-
dc.contributor.googleauthorMasahiro Hoshino-
dc.contributor.googleauthorBon-Kwon Koo-
dc.contributor.googleauthorTaishi Yonetsu-
dc.contributor.googleauthorJinlong Zhang-
dc.contributor.googleauthorDoyeon Hwang-
dc.contributor.googleauthorEun-Seok Shin-
dc.contributor.googleauthorJoon-Hyung Doh-
dc.contributor.googleauthorChang-Wook Nam-
dc.contributor.googleauthorJianan Wang-
dc.contributor.googleauthorShaoliang Chen-
dc.contributor.googleauthorNobuhiro Tanaka-
dc.contributor.googleauthorHitoshi Matsuo-
dc.contributor.googleauthorTakashi Kubo-
dc.contributor.googleauthorHyuk-Jae Chang-
dc.contributor.googleauthorTsunekazu Kakuta-
dc.contributor.googleauthorJagat Narula-
dc.identifier.doi10.1148/radiol.213271-
dc.contributor.localIdA03490-
dc.relation.journalcodeJ02596-
dc.identifier.eissn1527-1315-
dc.identifier.pmid35972355-
dc.identifier.urlhttps://pubs.rsna.org/doi/10.1148/radiol.213271-
dc.contributor.alternativeNameChang, Hyuck Jae-
dc.contributor.affiliatedAuthor장혁재-
dc.citation.volume305-
dc.citation.number3-
dc.citation.startPage578-
dc.citation.endPage587-
dc.identifier.bibliographicCitationRADIOLOGY, Vol.305(3) : 578-587, 2022-12-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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