Pathophysiology of the ascending aorta: Impact of dilation and valve phenotype on large-scale blood flow coherence detected by 4D flow MRI

Other authors

Institut Català de la Salut

[Calò K, Mazzi V, Lodi Rizzini M] PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy. [Guala A] Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Biomedical Research Networking Center on Cardiovascular Diseases, Instituto de Salud Carlos III, Madrid, Spain. [Dux-Santoy L] Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. [Rodriguez-Palomares J] Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Biomedical Research Networking Center on Cardiovascular Diseases, Instituto de Salud Carlos III, Madrid, Spain. Servei de Cardiologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2024-10-10T09:12:31Z

2024-10-10T09:12:31Z

2024-10



Abstract

4D flow MRI; Aortic dilation; Hemodynamics


Resonancia magnética de flujo 4D; Dilatación aórtica; Hemodinámica


Ressonància magnètica de flux 4D; Dilatació aòrtica; Hemodinàmica


Background and objective The evidence on the role of hemodynamics in aorta pathophysiology has yet to be robustly translated into clinical applications, to improve risk stratification of aortic diseases. Motivated by the need to enrich the current understanding of the pathophysiology of the ascending aorta (AAo), this study evaluates in vivo how large-scale aortic flow coherence is affected by AAo dilation and aortic valve phenotype. Methods A complex networks-based approach is applied to 4D flow MRI data to quantify subject-specific AAo flow coherence in terms of correlation between axial velocity waveforms and the aortic flow rate waveform along the cardiac cycle. The anatomical length of persistence of such correlation is quantified using the recently proposed network metric average weighted curvilinear distance (AWCD). The analysis considers 107 subjects selected to allow an ample stratification in terms of aortic valve morphology, absence/presence of AAo dilation and of aortic valve stenosis. Results The analysis highlights that the presence of AAo dilation as well as of bicuspid aortic valve phenotype breaks the physiological AAo flow coherence, quantified in terms of AWCD. Of notice, it emerges that cycle-average blood flow rate and relative AAo dilation are main determinants of AWCD, playing opposite roles in promoting and hampering the persistence of large-scale flow coherence in AAo, respectively. Conclusions The findings of this study can contribute to broaden the current mechanistic link between large-scale blood flow coherence and aortic pathophysiology, with the prospect of enriching the existing tools for the in vivo non-invasive hemodynamic risk assessment for aortic diseases onset and progression.


The authors K.C., D.G. and U.M. acknowledge the support of «ASSOCIATE» project (code 2022L7KK7L) – funded by European Union – Next Generation EU within the PRIN 2022 program (D.D. 104 - 02/02/2022 Ministero dell'Università e della Ricerca). Author A.G. has received funding from “la Caixa” Foundation (LCF/BQ/PR22/11920008).

Document Type

Article


Published version

Language

English

Publisher

Elsevier

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Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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