Details

Autor(en) / Beteiligte

• Park, Jun-Bean
• Choi, Gilwoo
• Chun, Eun Ju
• Kim, Hyun Jin
• Park, Jonghanne
• Jung, Ji-Hyun
• Lee, Min-Ho
• Otake, Hiromasa
• Doh, Joon-Hyung
• Nam, Chang-Wook
• Shin, Eun-Seok
• De Bruyne, Bernard
• Taylor, Charles A
• Koo, Bon-Kwon

Titel

Computational fluid dynamic measures of wall shear stress are related to coronary lesion characteristics

Ist Teil von

• Heart (British Cardiac Society), 2016-10, Vol.102 (20), p.1655-1661

Ort / Verlag

England: BMJ Publishing Group LTD

Erscheinungsjahr

2016

Quelle

BMJ Journals Archiv - DFG Nationallizenzen

Beschreibungen/Notizen

• ObjectiveTo assess the distribution of pressure and shear-related forces acting on atherosclerotic plaques and their association with lesion characteristics using coronary CT angiography (cCTA)-based computational fluid dynamics (CFD) model of epicardial coronary arteries.MethodsPatient-specific models of epicardial coronary arteries were reconstructed from cCTA in 80 patients (12 women, 63.8±9.0 years). The pressure and wall shear stress (WSS) in left anterior descending coronary arteries were assessed using CFD. High-risk plaques were defined as the presence of at least one of the following adverse plaque characteristics: low-density plaque, positive remodelling, napkin-ring sign and spotty calcification.ResultsAt resting condition, 39.5% of stenotic segments (% diameter stenosis 52.3±14.4%) were exposed to high WSS (>40 dyne/cm2). When the stenotic lesion was subdivided into three segments, the distribution of WSS was different from that of pressure change and its magnitude was highest at minimal lumen area (p<0.001). High pressure gradient, proximal location, small lumen and short length were independent determinants of WSS (all p<0.05). The plaques exposed to the highest WSS tertile had a significantly greater proportion of high-risk plaques. The addition of WSS to % diameter stenosis significantly improved the measures of discrimination and reclassification of high-risk plaques (area under the curves from 0.540 to 0.718, p=0.031; net reclassification index 0.827, p<0.001).ConclusionsThe cCTA-based CFD method can improve the identification of high-risk plaques and the risk stratification for coronary artery disease patients by providing non-invasive measurements of WSS affecting coronary plaques.