PURPOSE: To 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 METHODS: Thirteen 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. RESULTS: Peak 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 -0.5 ± 3.33 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). CONCLUSION: Peak 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.
PURPOSE: To 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 METHODS: Thirteen 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. RESULTS: Peak 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 -0.5 ± 3.33 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). CONCLUSION: Peak 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.
Authors: Pavlo Yevtushenko; Florian Hellmeier; Jan Bruening; Sarah Nordmeyer; Volkmar Falk; Christoph Knosalla; Marcus Kelm; Titus Kuehne; Leonid Goubergrits Journal: Biophys J Date: 2019-07-22 Impact factor: 4.033
Authors: Mathias Neugebauer; Martin Glöckler; Leonid Goubergrits; Marcus Kelm; Titus Kuehne; Anja Hennemuth Journal: Int J Comput Assist Radiol Surg Date: 2015-05-16 Impact factor: 2.924
Authors: David C Wendell; Margaret M Samyn; Joseph R Cava; Mary M Krolikowski; John F LaDisa Journal: J Biomech Eng Date: 2016-09-01 Impact factor: 2.097
Authors: Henrik Haraldsson; Sarah Kefayati; Sinyeob Ahn; Petter Dyverfeldt; Jonas Lantz; Matts Karlsson; Gerhard Laub; Tino Ebbers; David Saloner Journal: Magn Reson Med Date: 2017-07-26 Impact factor: 4.668
Authors: Elias Karabelas; Matthias A F Gsell; Christoph M Augustin; Laura Marx; Aurel Neic; Anton J Prassl; Leonid Goubergrits; Titus Kuehne; Gernot Plank Journal: Front Physiol Date: 2018-05-28 Impact factor: 4.566
Authors: Jaykrishna Singh; Gerd Brunner; Joel D Morrisett; Christie M Ballantyne; Alan B Lumsden; Dipan J Shah; Paolo Decuzzi Journal: Comput Methods Biomech Biomed Eng Imaging Vis Date: 2016-10-12