Literature DB >> 27160175

Non-invasive endothelial function assessment using digital reactive hyperaemia correlates with three-dimensional intravascular ultrasound and virtual histology-derived plaque volume and plaque phenotype.

Tomas Kovarnik1, Stepan Jerabek, Zhi Chen, Andreas Wahle, Ling Zhang, Gabriela Dostalova, Hana Skalicka, Ales Kral, Jan Horak, Milan Sonka, Ales Linhart.   

Abstract

BACKGROUND AND AIM: To study relationships between endothelial dysfunction (ED) and coronary atherosclerosis derived from intravascular ultrasound (IVUS) and virtual histology (VH).
METHODS: Endothelial dysfunction was examined by EndoPAT system (Itamar Medical) in 56 patients who underwent IVUS and VH (Volcano corp.). Reactive hyperaemia index (RHI) < 2 was used for definition of ED. IVUS sequences were divided into 5 mm-long non-overlapping and adjacent vessel segments. Plaque phenotype was determined for each frame and 5 mm vessel segment was labeled according to highest frame score (from 0 for "no lesion" to 5 for "thin cap fibroatheroma; TCFA").
RESULTS: IVUS-VH data were collected from 41 patients suitable for three-dimensional analysis. Patients with ED exhibited larger plaque burden than those without ED (0.46 ± 0.08 vs. 0.39 ± 0.07, p = 0.014), smaller lumen area (8.59 ± 2.19 vs. 11.90 ± 3.50, p = 0.016), higher plaque risk score (2.82 ± 1.18 vs. 1.84 ± 0.90, p = 0.012), and higher number of TCFA frames (0.36 ± 0.22 vs. 0.22 ± 0.16, p = 0.038). Relative amounts of fibrous tissue correlated positively with RHI (p = 0.034, r = 0.33). The numbers of fibroatheromas and calcified plaques correlated with RHI inversely (r = -0.34, p = 0.031 and r = -0.32, p = 0.044, respectively).
CONCLUSIONS: Endothelial dysfunction correlates with severity and phenotype of coronary lesions and can contribute to non-invasive detection of individuals with higher risk of cardiovascular events.

Entities:  

Keywords:  endothelial dysfunction; intravascular ultrasound; prediction; thin cap fibroatheroma

Mesh:

Year:  2016        PMID: 27160175      PMCID: PMC5503116          DOI: 10.5603/KP.a2016.0062

Source DB:  PubMed          Journal:  Kardiol Pol        ISSN: 0022-9032            Impact factor:   3.108


  24 in total

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2.  Geometrically correct 3-D reconstruction of intravascular ultrasound images by fusion with biplane angiography--methods and validation.

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Review 3.  Tissue characterisation using intravascular radiofrequency data analysis: recommendations for acquisition, analysis, interpretation and reporting.

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Journal:  IEEE Trans Med Imaging       Date:  2010-07-19       Impact factor: 10.048

5.  Endothelial function assessment in atherosclerosis: comparison of brachial artery flow‑mediated vasodilation and peripheral arterial tonometry.

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Authors:  P W Wilson; R B D'Agostino; D Levy; A M Belanger; H Silbershatz; W B Kannel
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Review 7.  Non-invasive endothelial function testing and the risk of adverse outcomes: a systematic review and meta-analysis.

Authors:  Yang Xu; Rakesh C Arora; Brett M Hiebert; Blake Lerner; Andrea Szwajcer; Kerry McDonald; Claudio Rigatto; Paul Komenda; Manish M Sood; Navdeep Tangri
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2014-01-07       Impact factor: 6.875

8.  Noninvasive identification of patients with early coronary atherosclerosis by assessment of digital reactive hyperemia.

Authors:  Piero O Bonetti; Geralyn M Pumper; Stuart T Higano; David R Holmes; Jeffrey T Kuvin; Amir Lerman
Journal:  J Am Coll Cardiol       Date:  2004-12-07       Impact factor: 24.094

Review 9.  Pathophysiological relevance of NO signaling in the cardiovascular system: novel insight from mice lacking all NO synthases.

Authors:  Masato Tsutsui; Hiroaki Shimokawa; Yutaka Otsuji; Nobuyuki Yanagihara
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Review 10.  Obesity, inflammation and endothelial dysfunction.

Authors:  M Iantorno; U Campia; N Di Daniele; S Nistico; G B Forleo; C Cardillo; M Tesauro
Journal:  J Biol Regul Homeost Agents       Date:  2014 Apr-Jun       Impact factor: 1.711

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