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dc.contributor.author Liu Ting
dc.contributor.author Maurovich-Horvat, Pál
dc.contributor.author Mayrhofer Thomas
dc.contributor.author Puchner Stefan B
dc.contributor.author Lu Michael T
dc.contributor.author Khristine Ghemigian
dc.contributor.author Pieter H. Kitslaar
dc.contributor.author Alexander Broersen
dc.contributor.author Amit Pursnani
dc.contributor.author Udo Hoffmann
dc.contributor.author Maros Ferencik
dc.date.accessioned 2017-08-24T06:48:55Z
dc.date.available 2017-08-24T06:48:55Z
dc.date.issued 2018
dc.identifier.citation pagination=311-319; journalVolume=34; journalIssueNumber=2; journalTitle=INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/4453
dc.identifier.uri doi:10.1007/s10554-017-1228-6
dc.description.abstract Semi-automated software can provide quantitative assessment of atherosclerotic plaques on coronary CT angiography (CTA). The relationship between established qualitative high-risk plaque features and quantitative plaque measurements has not been studied. We analyzed the association between quantitative plaque measurements and qualitative high-risk plaque features on coronary CTA. We included 260 patients with plaque who underwent coronary CTA in the Rule Out Myocardial Infarction/Ischemia Using Computer Assisted Tomography (ROMICAT) II trial. Quantitative plaque assessment and qualitative plaque characterization were performed on a per coronary segment basis. Quantitative coronary plaque measurements included plaque volume, plaque burden, remodeling index, and diameter stenosis. In qualitative analysis, high-risk plaque was present if positive remodeling, low CT attenuation plaque, napkin-ring sign or spotty calcium were detected. Univariable and multivariable logistic regression analyses were performed to assess the association between quantitative and qualitative high-risk plaque assessment. Among 888 segments with coronary plaque, high-risk plaque was present in 391 (44.0%) segments by qualitative analysis. In quantitative analysis, segments with high-risk plaque had higher total plaque volume, low CT attenuation plaque volume, plaque burden and remodeling index. Quantitatively assessed low CT attenuation plaque volume (odds ratio 1.12 per 1 mm3, 95% CI 1.04-1.21), positive remodeling (odds ratio 1.25 per 0.1, 95% CI 1.10-1.41) and plaque burden (odds ratio 1.53 per 0.1, 95% CI 1.08-2.16) were associated with high-risk plaque. Quantitative coronary plaque characteristics (low CT attenuation plaque volume, positive remodeling and plaque burden) measured by semi-automated software correlated with qualitative assessment of high-risk plaque features.
dc.relation.ispartof urn:issn:1569-5794
dc.title Quantitative coronary plaque analysis predicts high-risk plaque morphology on coronary computed tomography angiography: results from the ROMICAT II trial
dc.type Journal Article
dc.date.updated 2017-08-18T10:00:09Z
dc.language.rfc3066 en
dc.identifier.mtmt 3255456
dc.identifier.pubmed 28803421
dc.contributor.department Semmelweis Egyetem
dc.contributor.institution SE/AOK/K/VAROSMAJOR_SZÍVÉRGYÓGY/KARDI KZP_KARDIO-T/MTA-SE Lendület Kardiovaszkuláris Képalkotó Kutatócsoport


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