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Coronary CTA plaque volume severity stages according to invasive coronary angiography and FFR

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dc.contributor.author장혁재-
dc.date.accessioned2023-04-07T01:15:52Z-
dc.date.available2023-04-07T01:15:52Z-
dc.date.issued2022-09-
dc.identifier.issn1934-5925-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/193846-
dc.description.abstractBackground: Atherosclerotic plaque characterization by coronary computed tomography angiography (CCTA) enables quantification of coronary artery disease (CAD) burden and type, which has been demonstrated as the strongest discriminant of future risk of major adverse cardiac events (MACE). To date, there are no clinically useful thresholds to assist with understanding a patient's disease burden and guide diagnosis and management, as there exists with coronary artery calcium (CAC) scoring. The purpose of this manuscript is to establish clinically relevant plaque stages and thresholds based on evidence from invasive angiographic stenosis (ICA) and fractional flow reserve (FFR) data. Methods: 303 patients underwent CCTA prior to ICA and FFR for an AHA/ACC clinical indication. Quantitative computed tomography (QCT) was performed for total plaque volume (TPV, mm3) and percent atheroma volume (PAV, %). We segmented atherosclerosis by composition for low-density non-calcified plaque (LD-NCP), non-calcified plaque (NCP), and calcified plaque (CP). ICAs were evaluated by quantitative coronary angiography (QCA) for all coronary segments for % diameter stenosis. The relationship of atherosclerotic plaque burden and composition by QCT to ICA stenosis extent and severity by QCA and presence of ischemia by FFR was assessed to develop 4 distinct disease stages. Results: The mean age of the patients was 64.4 ​± ​10.2 years; 71% male. At the 50% QCA stenosis threshold, QCT revealed a mean PAV of 9.7 (±8.2)% and TPV of 436 (±444.9)mm3 for those with non-obstructive CAD; PAV of 11.7 (±8.0)% and TPV of 549.3 (±408.3) mm3 for 1 vessel disease (1VD), PAV of 17.8 (±9.8)% and TPV of 838.9 (±550.7) mm3 for 2VD, and PAV of 19.2 (±8.2)% and TPV of 799.9 (±357.4) mm3 for 3VD/left main disease (LMD). Non-ischemic patients (FFR >0.8) had a mean PAV of 9.2 (±7.3) % and TPV of 422.9 (±387.9 ​mm3) while patients with at least one vessel ischemia (FFR ≤0.8) had a PAV of 15.2 (±9.5)% and TPV of 694.6 (±485.1). Definition of plaque stage thresholds of 0, 250, 750 ​mm3 and 0, 5, and 15% PAV resulted in 4 clinically distinct stages in which patients with no, nonobstructive, single VD and multi-vessel disease were optimally distributed. Conclusion: Atherosclerotic plaque burden by QCT is related to stenosis severity and extent as well as ischemia. We propose staging of CAD atherosclerotic plaque burden using the following definitions: Stage 0 (Normal, 0% PAV, 0 ​mm3 TPV), Stage 1 (Mild, >0-5% PAV or >0-250 ​mm3 TPV), Stage 2 (Moderate, >5-15% PAV or >250-750 ​mm3 TPV) and Stage 3 (Severe, >15% PAV or >750 mm3 TPV).-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageEnglish-
dc.publisherElsevier-
dc.relation.isPartOfJOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHAged-
dc.subject.MESHComputed Tomography Angiography / methods-
dc.subject.MESHConstriction, Pathologic-
dc.subject.MESHCoronary Angiography / methods-
dc.subject.MESHCoronary Artery Disease* / diagnostic imaging-
dc.subject.MESHCoronary Stenosis* / diagnostic imaging-
dc.subject.MESHCoronary Vessels / diagnostic imaging-
dc.subject.MESHFemale-
dc.subject.MESHFractional Flow Reserve, Myocardial*-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPlaque, Atherosclerotic*-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHSeverity of Illness Index-
dc.titleCoronary CTA plaque volume severity stages according to invasive coronary angiography and FFR-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학교실)-
dc.contributor.googleauthorJames K Min-
dc.contributor.googleauthorHyuk-Jae Chang-
dc.contributor.googleauthorDaniele Andreini-
dc.contributor.googleauthorGianluca Pontone-
dc.contributor.googleauthorMarco Guglielmo-
dc.contributor.googleauthorJeroen J Bax-
dc.contributor.googleauthorPaul Knaapen-
dc.contributor.googleauthorSubha V Raman-
dc.contributor.googleauthorRichard A Chazal-
dc.contributor.googleauthorAndrew M Freeman-
dc.contributor.googleauthorTami Crabtree-
dc.contributor.googleauthorJames P Earls-
dc.identifier.doi10.1016/j.jcct.2022.03.001-
dc.contributor.localIdA03490-
dc.relation.journalcodeJ01291-
dc.identifier.eissn1876-861X-
dc.identifier.pmid35379596-
dc.contributor.alternativeNameChang, Hyuck Jae-
dc.contributor.affiliatedAuthor장혁재-
dc.citation.volume16-
dc.citation.number5-
dc.citation.startPage415-
dc.citation.endPage422-
dc.identifier.bibliographicCitationJOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, Vol.16(5) : 415-422, 2022-09-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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