Choosing the optimal wall shear parameter for the prediction of plaque location-A patient-specific computational study in human left coronary arteries

被引:103
作者
Rikhtegar, Farhad [1 ]
Knight, Joseph A. [1 ]
Olgac, Ufuk [1 ]
Saur, Stefan C. [2 ]
Poulikakos, Dimos [1 ]
Marshall, William, Jr. [3 ]
Cattin, Philippe C. [2 ,4 ]
Alkadhi, Hatem [5 ]
Kurtcuoglu, Vartan [1 ]
机构
[1] Swiss Fed Inst Technol, Dept Mech & Proc Engn, Lab Thermodynam Emerging Technol, Zurich, Switzerland
[2] Swiss Fed Inst Technol, Dept Informat Technol & Elect Engn, Comp Vis Lab, Zurich, Switzerland
[3] Univ S Florida, Coll Med, Tampa, FL 33620 USA
[4] Univ Basel, Med Image Anal Ctr, Basel, Switzerland
[5] Univ Zurich Hosp, Inst Diagnost & Intervent Radiol, CH-8091 Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
Computed tomography; Wall shear stress; Oscillatory shear index; Relative residence time; Computational fluid dynamics; Plaque prediction; COMPUTED-TOMOGRAPHY; NATURAL-HISTORY; STRESS; PERMEABILITY;
D O I
10.1016/j.atherosclerosis.2012.01.018
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: While the correlation of atherosclerotic plaque locations with local wall shear stress magnitude has been evaluated previously by other investigators in both right (RCA) and left coronary arteries (LCA), the relative performance of average wall shear stress (AWSS), average wall shear stress gradient (AWSSG), oscillatory shear index (OSI) and relative residence time (RRT) as indicators of potential atherosclerotic plaque locations has not been studied for the LCA. Here we determine the performance of said wall shear parameters in the LCA for the prediction of plaque development locations and compare these results to those previously found in the RCA. Methods: We obtained 30 patient-specific geometries (mean age 67.1 (+9.2) years, all with stable angina) of the LCA using dual-source computed tomography and virtually removed any plaque present. We then performed computational fluid dynamics simulations to calculate the wall shear parameters. Results: For the 96 total plaques, AWSS had a higher sensitivity for the prediction of plaque locations (86 +/- 25%) than AWSSG (65 +/- 37%, p < 0.05), OSI (67 +/- 32%, p < 0.01) or RRT (48 +/- 38%, p < 0.001). RRT had a higher PPV (49 +/- 36%) than AWSS (31 +/- 20%, p < 0.05) or AWSSG (16 +/- 12%, p < 0.001). Segment 5 of the LCA presented with overall low values for sensitivity and PPV. Parameter performance in the remainder of the LCA was comparable to that in the RCA. Conclusions: AWSS features remarkably high sensitivity, but does not reach the PPV of RRT. This may indicate that while low wall shear stress is necessary for plaque formation, its presence alone is not sufficient to predict future plaque locations. Time dependent factors have to be taken into account as well. (C) 2012 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:432 / 437
页数:6
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