Image-based Computational Fluid Dynamics for Estimating Pressure Drop and FFR Across Iliac Artery Stenosis: a Comprison with In-vivo Measurements

Skopalik, S., Hall Barrientos, P., Matthews, J., Radjenovic, A. , Mark, P. , Roditi, G. and Paul, M.C. (2019) Image-based Computational Fluid Dynamics for Estimating Pressure Drop and FFR Across Iliac Artery Stenosis: a Comprison with In-vivo Measurements. In: 6th International Conference on Computational and Mathematical Biomedical Engineering (CMBE 2019), Sendai City, Japan, 10-12 Jun 2019, pp. 809-812. ISBN 9780956291455

Abstract

Computational Fluid Dynamics (CFD) and time-resolved phase-contrast MRI (PC-MRI) are potential non-invasive methods for the assessment of the severity of arterial stenoses. Fractional flow reserve (FFR) is the current “gold standard” for determining stenosis severity in the coronary arteries but is an invasive method requiring insertion of a pressure wire. CFD derived FFR (vFFR) is an alternative to traditional catheter derived FFR now available commercially for coronary artery assessment, however, it can potentially be applied to a wider range of vulnerable vessels such as the iliac arteries. In this study CFD simulations are used to assess the ability of vFFR in predicting the stenosis severity in a patient with a severe stenosis of 78% area reduction (>50% diameter reduction) in the left iliac artery. The study concludes that vFFR has good potential to characterise iliac artery stenotic disease.

• Item Type: Conference Proceedings
• Additional Information: This work is kindly funded by Medical Research Scotland (grant PhD-888-2015) and Canon Medical Research Europe Ltd.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Skopalik, Dr Simeon and Paul, Professor Manosh and Roditi, Dr Giles and Mark, Professor Patrick and Hall Barrientos, Dr Pauline and Radjenovic, Dr Aleksandra
• Authors: Skopalik, S., Hall Barrientos, P., Matthews, J., Radjenovic, A., Mark, P., Roditi, G., and Paul, M.C.
• College/School: College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health; College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing; College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Systems Power and Energy
• ISSN: 2227-3085
• ISBN: 9780956291455

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