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Medicina 2018, 54(3), 42; https://doi.org/10.3390/medicina54030042

Computational Fluid Dynamics as an Engineering Tool for the Reconstruction of Hemodynamics after Carotid Artery Stenosis Operation: A Case Study

1
The Main School of Fire Service, Faculty of Fire Safety Engineering, 01-629 Warsaw, Poland
2
Department of Angiology, Interfaculty Chair of Anatomy and Histology, Medical University of Lodz, 90-136 Lodz, Poland
3
Medical Electronics Division, Institute of Electronics, Lodz University of Technology, 90-924 Lodz, Poland
4
Department of Radiology and Diagnostic Imaging, Medical University of Lodz, 90-153 Lodz, Poland
*
Author to whom correspondence should be addressed.
Received: 3 April 2018 / Revised: 22 May 2018 / Accepted: 28 May 2018 / Published: 1 June 2018
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Abstract

Background and objectives: Brain ischemic stroke is caused by impaired or absolutely blocked blood flow into the brain regions. Despite the large number of possible origins, there is no general strategy for preventive treatment. In this paper, we aimed to predict the hemodynamics in a patient who experienced a critical stenosis operation in the carotid artery. This is a unique study where we used medical data together with the computational fluid (CFD) technique not to plan the surgery, but to predict its outcome. Materials and Methods: AngioCT data and blood perfusion of brain tissue (CT-perfusion) together with CFD technique were applied for stroke formation reconstruction in different clinical conditions. With the use of self-made semiautomatic algorithm for image processing and 3DDoctror software, 3D-vascular geometries before and after surgical intervention were reconstructed. As the paper is focused on the analysis of stroke appearance, apparent stroke was simulated as higher and lower pressure values in the cranial part due to different outcomes of the surgical intervention. This allowed to investigate the influence of spatial configuration and pressure values on blood perfusion in the analyzed circulatory system. Results: Application of CFD simulations for blood flow reconstruction for clinical conditions in the circulatory system accomplished on average 98.5% and 98.7% accuracy for CFD results compared to US-Doppler before and after surgical intervention, respectively. Meanwhile, CFD results compared to CT-perfusion indicated an average 89.7% and 92.8% accuracy before and after surgical intervention, respectively. Thus, the CFD is a reliable approach for predicting the patient hemodynamics, as it was confirmed by postoperative data. Conclusions: Our study indicated that the application of CFD simulations for blood flow reconstruction for clinical conditions in circulatory system reached 98% and 90% accuracy for US-Doppler and CT-perfusion, respectively. Therefore, the proposed method might be used as a tool for reconstruction of specific patients’ hemodynamics after operation of critical stenosis in the carotid artery. However, further studies are necessary to confirm its usefulness in clinical practice. View Full-Text
Keywords: brain ischemic stroke; blood hemodynamics reconstruction; artery stenosis; CT-perfusion brain ischemic stroke; blood hemodynamics reconstruction; artery stenosis; CT-perfusion
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Polanczyk, A.; Podgorski, M.; Wozniak, T.; Stefanczyk, L.; Strzelecki, M. Computational Fluid Dynamics as an Engineering Tool for the Reconstruction of Hemodynamics after Carotid Artery Stenosis Operation: A Case Study. Medicina 2018, 54, 42.

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