Evaluation of flow velocities after carotid artery stenting through split spectrum Doppler optical coherence tomography and computational fluid dynamics modeling.

Biomed Opt Express

Biophotonics and Bioengineering Laboratory, Dept. Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada ; Physical Science - Brain Sciences Research Program, Sunnybrook Research Institute, 2075 Bayview Avenue,Toronto, ON, M4N 3M5, Canada ; Division of Neurosurgery, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue Toronto, ON, M4N 3M5, Canada ; Division of Neurosurgery, Faculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada.

Published: December 2014

AI Article Synopsis

  • Hemodynamics is crucial in atherosclerosis development, especially in curved blood vessels like bifurcations where blood flow is irregular.
  • Stent implantation can help with carotid atherosclerotic disease but may disrupt local blood flow and lead to complications.
  • This study uses split spectrum Doppler optical coherence tomography (ssDOCT) and computational fluid dynamics (CFD) to assess blood flow changes before and after stent placement, showing significant hemodynamic alterations and a strong correlation between the two imaging methods.

Article Abstract

Hemodynamics plays a critical role in the development of atherosclerosis, specifically in regions of curved vasculature such as bifurcations exhibiting irregular blood flow profiles. Carotid atherosclerotic disease can be intervened by stent implantation, but this may result in greater alterations to local blood flow and consequently further complications. This study demonstrates the use of a variant of Doppler optical coherence tomography (DOCT) known as split spectrum DOCT (ssDOCT) to evaluate hemodynamic patterns both before and after stent implantation in the bifurcation junction in the internal carotid artery (ICA). Computational fluid dynamics (CFD) models were constructed to simulate blood velocity profiles and compared to the findings achieved through ssDOCT images. Both methods demonstrated noticeable alterations in hemodynamic patterns following stent implantation, with features such as slow velocity regions at the neck of the bifurcation and recirculation zones at the stent struts. Strong correlation between CFD models and ssDOCT images demonstrate the potential of ssDOCT imaging in the optimization of stent implantation in the clinical setting.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4285614PMC
http://dx.doi.org/10.1364/BOE.5.004405DOI Listing

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