Impact of aortic arch curvature in flow haemodynamics in patients with transposition of the great arteries after arterial switch operation

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dc.contributor.authorSotelo, Julio
dc.contributor.authorValverde, Israel
dc.contributor.authorMartins, Duarte
dc.contributor.authorBonnet, Damien
dc.contributor.authorBoddaert, Nathalie
dc.contributor.authorPushparajan, Kuberan
dc.contributor.authorUribe, Sergio
dc.contributor.authorRaimondi, Francesca
dc.date.accessioned2022-11-30T02:47:00Z
dc.date.available2022-11-30T02:47:00Z
dc.date.issued2022
dc.description.abstractAims. In this study, we will describe a comprehensive haemodynamic analysis and its relationship to the dilation of the aorta in transposition of the great artery (TGA) patients post-arterial switch operation (ASO) and controls using 4D-flow magnetic resonance imaging (MRI) data. Methods and results. Using 4D-flow MRI data of 14 TGA young patients and 8 age-matched normal controls obtained with 1.5 T GE-MR scanner, we evaluate 3D maps of 15 different haemodynamics parameters in six regions; three of them in the aortic root and three of them in the ascending aorta (anterior-left, -right, and posterior for both cases) to find its relationship with the aortic arch curvature and root dilation. Differences between controls and patients were evaluated using Mann–Whitney U test, and the relationship with the curvature was accessed by unpaired t-test. For statistical significance, we consider a P-value of 0.05. The aortic arch curvature was significantly different between patients 46.238 ± 5.581 m−1 and controls 41.066 ± 5.323 m−1. Haemodynamic parameters as wall shear stress circumferential (WSS-C), and eccentricity (ECC), were significantly different between TGA patients and controls in both the root and ascending aorta regions. The distribution of forces along the ascending aorta is highly inhomogeneous in TGA patients. We found that the backward velocity (B-VEL), WSS-C, velocity angle (VEL-A), regurgitation fraction (RF), and ECC are highly correlated with the aortic arch curvature and root dilatation. Conclusion. We have identified six potential biomarkers (B-VEL, WSS-C, VEL-A, RF, and ECC), which may be helpful for follow-up evaluation and early prediction of aortic root dilatation in this patient population.en_ES
dc.facultadFacultad de Ingenieríaen_ES
dc.file.nameSotelo_Imp2022.pdf
dc.identifier.citationJulio Sotelo, Israel Valverde, Duarte Martins, Damien Bonnet, Nathalie Boddaert, Kuberan Pushparajan, Sergio Uribe, Francesca Raimondi, Impact of aortic arch curvature in flow haemodynamics in patients with transposition of the great arteries after arterial switch operation, European Heart Journal - Cardiovascular Imaging, Volume 23, Issue 3, March 2022, Pages 402–411, https://doi.org/10.1093/ehjci/jeaa416en_ES
dc.identifier.doihttps://doi.org/10.1093/ehjci/jeaa416
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/7547
dc.languageen
dc.publisherEuropean Society Of Cardiology
dc.sourceEuropean Heart Journal - Cardiovascular Imaging
dc.subjectTRANSPOSITION OF THE GREAT ARTERIESen_ES
dc.subjectARTERIAL SWITCH OPERATIONen_ES
dc.subject4D FLOW MRIen_ES
dc.subjectHAEMODYNAMIC PARAMETERSen_ES
dc.subjectBIOMARKERSen_ES
dc.subjectAORTIC ROOT DILATATIONen_ES
dc.titleImpact of aortic arch curvature in flow haemodynamics in patients with transposition of the great arteries after arterial switch operation
dc.typeArticulo
uv.departamentoEscuela de Ingenieria Biomedica
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