Literature DB >> 28711164

On estimating intraventricular hemodynamic forces from endocardial dynamics: A comparative study with 4D flow MRI.

Gianni Pedrizzetti1, Per M Arvidsson2, Johannes Töger2, Rasmus Borgquist3, Federico Domenichini4, Håkan Arheden2, Einar Heiberg5.   

Abstract

Intraventricular pressure gradients or hemodynamic forces, which are their global measure integrated over the left ventricular volume, have a fundamental importance in ventricular function. They may help revealing a sub-optimal cardiac function that is not evident in terms of tissue motion, which is naturally heterogeneous and variable, and can influence cardiac adaptation. However, hemodynamic forces are not utilized in clinical cardiology due to the unavailability of simple non-invasive measurement tools. Hemodynamic forces depend on the intraventricular flow; nevertheless, most of them are imputable to the dynamics of the endocardial flow boundary and to the exchange of momentum across the mitral and aortic orifices. In this study, we introduce a simplified model based on first principles of fluid dynamics that allows estimating hemodynamic forces without knowing the velocity field inside the LV. The model is validated with 3D phase-contrast MRI (known as 4D flow MRI) in 15 subjects, (5 healthy and 10 patients) using the endocardial surface reconstructed from the three standard long-axis projections. Results demonstrate that the model provides consistent estimates for the base-apex component (mean correlation coefficient r=0.77 for instantaneous values and r=0.88 for root mean square) and good estimates of the inferolateral-anteroseptal component (r=0.50 and 0.84, respectively). The present method represents a potential integration to the existing ones quantifying endocardial deformation in MRI and echocardiography to add a physics-based estimation of the corresponding hemodynamic forces. These could help the clinician to early detect sub-clinical diseases and differentiate between different cardiac dysfunctional states.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  4D flow MRI; Cardiac fluid dynamics; Hemodynamic forces; Intraventricular pressure gradient

Mesh:

Year:  2017        PMID: 28711164     DOI: 10.1016/j.jbiomech.2017.06.046

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  11 in total

1.  Surrogate models provide new insights on metrics based on blood flow for the assessment of left ventricular function.

Authors:  Dario Collia; Giulia Libero; Gianni Pedrizzetti; Valentina Ciriello
Journal:  Sci Rep       Date:  2022-05-24       Impact factor: 4.996

2.  Microstructure-based finite element model of left ventricle passive inflation.

Authors:  Ce Xi; Ghassan S Kassab; Lik Chuan Lee
Journal:  Acta Biomater       Date:  2019-04-11       Impact factor: 8.947

3.  Impact of intraventricular haemodynamic forces misalignment on left ventricular remodelling after myocardial infarction.

Authors:  Domenico Filomena; Sara Cimino; Sara Monosilio; Nicola Galea; Giuseppe Mancuso; Marco Francone; Giovanni Tonti; Gianni Pedrizzetti; Viviana Maestrini; Francesco Fedele; Luciano Agati
Journal:  ESC Heart Fail       Date:  2021-12-23

4.  Hemodynamic force analysis is not ready for clinical trials on HFpEF.

Authors:  Per M Arvidsson; Anders Nelsson; Martin Magnusson; J Gustav Smith; Marcus Carlsson; Håkan Arheden
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.996

5.  Introduction to Hemodynamic Forces Analysis: Moving Into the New Frontier of Cardiac Deformation Analysis.

Authors:  Fabrizio Vallelonga; Lorenzo Airale; Giovanni Tonti; Edgar Argulian; Alberto Milan; Jagat Narula; Gianni Pedrizzetti
Journal:  J Am Heart Assoc       Date:  2021-12-10       Impact factor: 6.106

6.  Comparative Analysis of Right Ventricle Fluid Dynamics.

Authors:  Dario Collia; Luigino Zovatto; Giovanni Tonti; Gianni Pedrizzetti
Journal:  Front Bioeng Biotechnol       Date:  2021-07-06

Review 7.  Cardiac fluid dynamics meets deformation imaging.

Authors:  Matteo Dal Ferro; Davide Stolfo; Valerio De Paris; Pierluigi Lesizza; Renata Korcova; Dario Collia; Giovanni Tonti; Gianfranco Sinagra; Gianni Pedrizzetti
Journal:  Cardiovasc Ultrasound       Date:  2018-02-20       Impact factor: 2.062

8.  Left ventricular blood flow kinetic energy after myocardial infarction - insights from 4D flow cardiovascular magnetic resonance.

Authors:  Pankaj Garg; Saul Crandon; Peter P Swoboda; Graham J Fent; James R J Foley; Pei G Chew; Louise A E Brown; Sethumadhavan Vijayan; Mariëlla E C J Hassell; Robin Nijveldt; Malenka Bissell; Mohammed S M Elbaz; Abdallah Al-Mohammad; Jos J M Westenberg; John P Greenwood; Rob J van der Geest; Sven Plein; Erica Dall'Armellina
Journal:  J Cardiovasc Magn Reson       Date:  2018-08-30       Impact factor: 5.364

9.  Analysis of mitral valve regurgitation by computational fluid dynamics.

Authors:  Dario Collia; Luigino Zovatto; Gianni Pedrizzetti
Journal:  APL Bioeng       Date:  2019-08-23

10.  Reference Ranges of Left Ventricular Hemodynamic Forces in Healthy Adults: A Speckle-Tracking Echocardiographic Study.

Authors:  Francesco Ferrara; Francesco Capuano; Rosangela Cocchia; Brigida Ranieri; Carla Contaldi; Graziella Lacava; Valentina Capone; Salvatore Chianese; Salvatore Rega; Roberto Annunziata; Chiara Sepe; Andrea Salzano; Rodolfo Citro; Antonello D'Andrea; Ciro Mauro; Filippo Cademartiri; Gianni Pedrizzetti; Eduardo Bossone
Journal:  J Clin Med       Date:  2021-12-17       Impact factor: 4.241

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