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Abstract #3744

PRESSURE GRADIENT PREDICTION in AORTIC COARCTATION using a COMPUTATIONAL-FLUID-DYNAMIC (CFD) MODEL: Validation Against Invasive Pressure Catheterization at Rest & Pharmacological Stress

Israel Valverde1, Cristina Staicu2, Alberto Marzo2, Heynric Grotenhuis3, Kawal Rhode1, Yubing Shi2, Aphrodite Tzifa1, Reza Razavi1, Patricia Lawford2, Rod Hose2, Philipp Beerbaum1

1Imaging Sciences, King's College London, London, United Kingdom; 2Department of Cardiovascular Science, Medical Physics Group, University of Sheffield, Sheffield, United Kingdom; 3Leiden University Medical Centre, Leiden, Netherlands

Current clinical evaluation of aortic coarctation commonly involves the use of invasive catheterization to determine the pressure gradient at rest and during pharmacological stress.The goal of the present study is to investigate the feasibility of using patient-specific computational-fluid-dynamic simulations to predict the pressure drop.The patient-specific vascular anatomy and flow data required as boundary were extracted from magnetic resonance studies(CMR).Our preliminary results are encouraging,predicting accurately the pressure drop at rest and giving an indication of the severity during stress.This is the first step towards a patient-specific CMR assessment to predict hemodynamic conditions in the aorta,avoiding invasive catheterization and ionizing radiation.