CFD Challenge: Predicting Patient-Specific Hemodynamics at Rest and Stress through an Aortic Coarctation
نویسندگان
چکیده
Background Coarctation of the aorta (CoA), a narrowing of the aorta, accounts for approximately 10% of congenital heart defects in the western world. Due to the reduction in diameter, high pressure gradients can appear across the aortic coarctation, resulting in an increased cardiac workload. Current therapies, either surgical or minimally-invasive, aim to alleviate the blood pressure gradient through the coarctation. The pressure gradient is dependent on the severity of the aortic narrowing: the greater the percentage of area reduction, the larger the pressure gradient. The pressure gradient is also highly dependent on the flow rate, and therefore the physiologic state of the patient: a small pressure gradient at rest can increase several-fold even in mild stress conditions. For these reasons, it is critical to assess the blood pressure gradient during exercise induced stress, for an accurate diagnosis. As opposed to the routine assessment during resting conditions, , measuring the pressure gradient under exercise conditions is more challenging since these conditions are not easy to replicate in the clinic. ‘Pharmacological stress-test’ is sometimes performed. However, besides the limitations in replicating other mechanisms present in real exercise conditions, such as alterations in peripheral vascular resistance, the stress tests are not ideal for the patient since they often present side-effects such as palpitations, chest pain, shortness of breath, headache, nausea or fatigue.
منابع مشابه
Predicting hemodynamics in native and residual coarctation: preliminary results of a Rigid-Wall Computational-Fluid-Dynamics model (RW-CFD) validated against clinically invasive pressure measures at rest and during pharmacological stress
Predicting hemodynamics in native and residual coarctation: preliminary results of a Rigid-Wall Computational-Fluid-Dynamics model (RW-CFD) validated against clinically invasive pressure measures at rest and during pharmacological stress Israel Valverde, Cristina Staicu, Heynric Grotenhuis, Alberto Marzo, Kawal Rhode, Yubing Shi, Alistair G Brown, Aphrodite Tzifa, Tarique Hussain, Gerald Greil,...
متن کاملA Finite Element CFD Simulation for Predicting Patient-Specific Hemodynamics of an Aortic Coarctation
This paper presents a numerical simulation of the flow characteristics through a patient-specific model of an aortic coarctation. The purpose of the study was to predict the pressure gradient at rest and at exercise conditions. The commercial package ADINA was used to numerically solve the governing equations using finite-elements methods. The model was based on the patient's MR angiography dat...
متن کاملTraditional CFD Boundary Conditions Applied to Blood Analog Flow through a Patient-Specific Aortic Coarctation
Flow of a blood analog is modeled through a patient-specific aortic coarctation using ANSYS Fluent software. Details of the patient data (aortic geometry and prescribed flow conditions) were provided by the MICCAI-STACOM CFD Challenge website. The objective is to predict a blood pressure difference across the rigid coarctation under both rest and exercise (stress) conditions. The supplied STL g...
متن کاملThe Impact of Cardiac Motion on Aortic Valve Flow Used in Computational Simulations of the Thoracic Aorta.
Advancements in image-based computational modeling are producing increasingly more realistic representations of vasculature and hemodynamics, but so far have not compensated for cardiac motion when imposing inflow boundary conditions. The effect of cardiac motion on aortic flow is important when assessing sequelae in this region including coarctation of the aorta (CoA) or regurgitant fraction. ...
متن کاملIncluding aortic valve morphology in computational fluid dynamics simulations: initial findings and application to aortic coarctation.
Computational fluid dynamics (CFD) simulations quantifying thoracic aortic flow patterns have not included disturbances from the aortic valve (AoV). 80% of patients with aortic coarctation (CoA) have a bicuspid aortic valve (BAV) which may cause adverse flow patterns contributing to morbidity. Our objectives were to develop a method to account for the AoV in CFD simulations, and quantify its im...
متن کامل