Literature DB >> 27134058

Comparison of Quantity of Coronary Atherosclerotic Plaques Detected by Computed Tomography Versus Angiography.

Márton Kolossváry1, Bálint Szilveszter1, István Ferenc Édes2, Sándor Nardai2, Viktor Voros3, István Hartyánszky2, Béla Merkely2, Szilard Voros4, Pál Maurovich-Horvat5.   

Abstract

Numerous clinical studies using coronary computed tomography angiography (CTA) and conventional invasive coronary angiography (ICA) confirmed the strong relation between atherosclerotic disease burden and risk of adverse events. Few studies have compared coronary CTA and ICA regarding semiquantitative plaque burden measurements, reproducibility, and cardiovascular risk assessment. We enrolled 71 consecutive patients (mean age 62 ± 9 years, 37% women) from the Genetic Loci and the Burden of Atherosclerotic Lesions study (NCT01738828), who underwent 256-slice multidetector row coronary CTA and ICA at a single site. On average, 42 ± 32 days passed between the 2 examinations. A total of 1,016 coronary segments were imaged by both CTA and ICA according the 18-segment Society of Cardiovascular Computed Tomography classification. We excluded 16 segments treated with coronary stents. Overall, 1,000 segments were evaluated for the presence of stenosis severity (<25%: minimal, 25% to 49%: mild, 50% to 70%: moderate, 70% to 99%: severe, 100%: occlusion). We calculated the segment involvement score (SIS) and segment stenosis score. Patients were classified into 4 groups: extensive obstructive (SIS >4 and ≥50% stenosis), extensive nonobstructive (SIS >4 and <50% stenosis), nonextensive obstructive (SIS ≤4 and ≥50% stenosis), or nonextensive nonobstructive (SIS ≤4 and <50% stenosis). CTA detected coronary artery plaques in 49%, whereas ICA showed coronary plaques in 24% of the analyzed 1,000 segments (p <0.001). CTA detected atherosclerotic plaque in 35% of coronary segments where ICA was negative, whereas ICA detected plaque only in 3% of segments where CTA was negative. CTA-based segment scores were significantly greater, SIS: 6.9 ± 3.0 versus 3.3 ± 2.0, segment stenosis score: 16.4 ± 8.8 versus 9.4 ± 6.8 (p <0.001 for both). In conclusion, coronary CTA detected approximately twice as many coronary segments with plaque compared to ICA, which resulted in 52% of the patients being assigned to a greater risk category.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27134058     DOI: 10.1016/j.amjcard.2016.03.031

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  5 in total

Review 1.  Plaque imaging with CT-a comprehensive review on coronary CT angiography based risk assessment.

Authors:  Márton Kolossváry; Bálint Szilveszter; Béla Merkely; Pál Maurovich-Horvat
Journal:  Cardiovasc Diagn Ther       Date:  2017-10

2.  Hypermethylation of miR-181b in monocytes is associated with coronary artery disease and promotes M1 polarized phenotype via PIAS1-KLF4 axis.

Authors:  Zhonghua Wang; Chunlei Li; Xinyong Sun; Zhuqin Li; Jia Li; Lanfeng Wang; Yanming Sun
Journal:  Cardiovasc Diagn Ther       Date:  2020-08

Review 3.  CAD-RADS - a new clinical decision support tool for coronary computed tomography angiography.

Authors:  Borek Foldyna; Bálint Szilveszter; Jan-Erik Scholtz; Dahlia Banerji; Pál Maurovich-Horvat; Udo Hoffmann
Journal:  Eur Radiol       Date:  2017-11-07       Impact factor: 5.315

4.  HIV indirectly accelerates coronary artery disease by promoting the effects of risk factors: longitudinal observational study.

Authors:  Márton Kolossváry; David Celentano; Gary Gerstenblith; David A Bluemke; Raul N Mandler; Elliot K Fishman; Sandeepan Bhatia; Shaoguang Chen; Shenghan Lai; Hong Lai
Journal:  Sci Rep       Date:  2021-11-30       Impact factor: 4.379

5.  Pericoronary Adipose Tissue Attenuation Is Associated with High-Risk Plaque and Subsequent Acute Coronary Syndrome in Patients with Stable Coronary Artery Disease.

Authors:  Jeremy Yuvaraj; Andrew Lin; Nitesh Nerlekar; Ravi K Munnur; James D Cameron; Damini Dey; Stephen J Nicholls; Dennis T L Wong
Journal:  Cells       Date:  2021-05-10       Impact factor: 6.600

  5 in total

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