MRI-Based Computational Fluid Dynamics for Diagnosis and Treatment Prediction: Clinical Validation Study in Patients With Coarctation of Aorta

PurposeTo reduce the need for diagnostic catheterization and optimize treatment in a variety of congenital heart diseases, magnetic resonance imaging (MRI)-based computational fluid dynamics (CFD) is proposed. However, data about the accuracy of CFD in a clinical context are still sparse. To fill this gap, this study compares MRI-based CFD to catheterization in the coarctation of aorta (CoA) setting. Materials and MethodsThirteen patients with CoA were investigated by routine MRI prior to catheterization. 3D whole-heart MRI was used to reconstruct geometries and 4D flow-sensitive phase-contrast MRI was used to acquire flows. Peak systolic flows were simulated using the program FLUENT. ResultsPeak systolic pressure drops in CoA measured by catheterization and CFD correlated significantly for both pre- and posttreatment measurements (pre: r=0.98, p=0.00; post: r=0.87, p=0.00). The pretreatment bias was -0.53.33 mmHg (95% confidence interval -2.55 to 1.47 mmHg). CFD predicted a reduction of the peak systolic pressure drop after treatment that ranged from 17.6 +/- 5.56 mmHg to 6.7 +/- 5.58 mmHg. The posttreatment bias was 3.0 +/- 2.91 mmHg (95% CI -1.74 to 5.43 mmHg). ConclusionPeak systolic pressure drops can be reliably calculated using MRI-based CFD in a clinical setting. Therefore, CFD might be an attractive noninvasive alternative to diagnostic catheterization. J. Magn. Reson. Imaging 2015;41:909-916. (c) 2014 Wiley Periodicals, Inc.