Literature DB >> 22317967

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

Farhad Rikhtegar1, Joseph A Knight, Ufuk Olgac, Stefan C Saur, Dimos Poulikakos, William Marshall, Philippe C Cattin, Hatem Alkadhi, Vartan Kurtcuoglu.   

Abstract

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. Copyright Â
© 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22317967     DOI: 10.1016/j.atherosclerosis.2012.01.018

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  29 in total

Review 1.  Coronary CT angiography: Beyond morphological stenosis analysis.

Authors:  Zhonghua Sun
Journal:  World J Cardiol       Date:  2013-12-26

Review 2.  Comprehensive plaque assessment by coronary CT angiography.

Authors:  Pál Maurovich-Horvat; Maros Ferencik; Szilard Voros; Béla Merkely; Udo Hoffmann
Journal:  Nat Rev Cardiol       Date:  2014-04-22       Impact factor: 32.419

3.  Multilayer flow modulator enhances vital organ perfusion in patients with type B aortic dissection.

Authors:  Farhad Rikhtegar Nezami; Lambros S Athanasiou; Junedh M Amrute; Elazer R Edelman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-08-10       Impact factor: 4.733

4.  Wall shear stress oscillation and its gradient in the normal left coronary artery tree bifurcations.

Authors:  Jv Soulis; Dk Fytanidis; Kv Seralidou; Gd Giannoglou
Journal:  Hippokratia       Date:  2014-01       Impact factor: 0.471

5.  Complementary X-ray tomography techniques for histology-validated 3D imaging of soft and hard tissues using plaque-containing blood vessels as examples.

Authors:  Margaret N Holme; Georg Schulz; Hans Deyhle; Timm Weitkamp; Felix Beckmann; Johannes A Lobrinus; Farhad Rikhtegar; Vartan Kurtcuoglu; Irene Zanette; Till Saxer; Bert Müller
Journal:  Nat Protoc       Date:  2014-05-22       Impact factor: 13.491

Review 6.  Plaque assessment by coronary CT.

Authors:  Bálint Szilveszter; Csilla Celeng; Pál Maurovich-Horvat
Journal:  Int J Cardiovasc Imaging       Date:  2015-08-18       Impact factor: 2.357

7.  Quantification of near-wall hemodynamic risk factors in large-scale cerebral arterial trees.

Authors:  Mahsa Ghaffari; Ali Alaraj; Xinjian Du; Xiaohong Joe Zhou; Fady T Charbel; Andreas A Linninger
Journal:  Int J Numer Method Biomed Eng       Date:  2018-05-23       Impact factor: 2.747

8.  Position Paper Computational Cardiology.

Authors:  Lambros Athanasiou; Farhad Rikhtegar Nezami; Elazer R Edelman
Journal:  IEEE J Biomed Health Inform       Date:  2018-10-19       Impact factor: 5.772

9.  Validation of parametric mesh generation for subject-specific cerebroarterial trees using modified Hausdorff distance metrics.

Authors:  Mahsa Ghaffari; Lea Sanchez; Guoren Xu; Ali Alaraj; Xiaohong Joe Zhou; Fady T Charbel; Andreas A Linninger
Journal:  Comput Biol Med       Date:  2018-07-07       Impact factor: 4.589

10.  Compound ex vivo and in silico method for hemodynamic analysis of stented arteries.

Authors:  Farhad Rikhtegar; Fernando Pacheco; Christophe Wyss; Kathryn S Stok; Heng Ge; Ryan J Choo; Aldo Ferrari; Dimos Poulikakos; Ralph Müller; Vartan Kurtcuoglu
Journal:  PLoS One       Date:  2013-03-13       Impact factor: 3.240

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