Literature DB >> 25186434

Left ventricular fluid mechanics: the long way from theoretical models to clinical applications.

Gianni Pedrizzetti1, Federico Domenichini.   

Abstract

The flow inside the left ventricle is characterized by the formation of vortices that smoothly accompany blood from the mitral inlet to the aortic outlet. Computational fluid dynamics permitted to shed some light on the fundamental processes involved with vortex motion. More recently, patient-specific numerical simulations are becoming an increasingly feasible tool that can be integrated with the developing imaging technologies. The existing computational methods are reviewed in the perspective of their potential role as a novel aid for advanced clinical analysis. The current results obtained by simulation methods either alone or in combination with medical imaging are summarized. Open problems are highlighted and perspective clinical applications are discussed.

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Year:  2014        PMID: 25186434     DOI: 10.1007/s10439-014-1101-x

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  16 in total

1.  Assessment of methodologies to calculate intraventricular pressure differences in computational models and patients.

Authors:  Francisco J Londono-Hoyos; Abigail Swillens; Joris Van Cauwenberge; Brett Meyers; Maheswara Reddy Koppula; Pavlos Vlachos; Julio A Chirinos; Patrick Segers
Journal:  Med Biol Eng Comput       Date:  2017-08-16       Impact factor: 2.602

2.  Patient-specific CFD models for intraventricular flow analysis from 3D ultrasound imaging: Comparison of three clinical cases.

Authors:  A M Bavo; A M Pouch; J Degroote; J Vierendeels; J H Gorman; R C Gorman; P Segers
Journal:  J Biomech       Date:  2016-11-11       Impact factor: 2.712

3.  Vortex formation time as an index of left ventricular filling efficiency: comparison between children volunteers and patients with tetralogy of Fallot.

Authors:  Li-Wei Hu; Yang Xiang; Su-Yang Qin; Rong-Zhen Ouyang; Jin-Long Liu; Ya-Feng Peng; Wei-Hui Xie; Yong Zhang; Hong Liu; Yu-Min Zhong
Journal:  Transl Pediatr       Date:  2022-06

4.  A novel methodology for personalized simulations of ventricular hemodynamics from noninvasive imaging data.

Authors:  A de Vecchi; A Gomez; K Pushparajah; T Schaeffter; J M Simpson; R Razavi; G P Penney; N P Smith; D A Nordsletten
Journal:  Comput Med Imaging Graph       Date:  2016-04-02       Impact factor: 4.790

5.  Development of a modeling pipeline for the prediction of hemodynamic outcome after virtual mitral valve repair using image-based CFD.

Authors:  Katharina Vellguth; Jan Brüning; Leonid Goubergrits; Lennart Tautz; Anja Hennemuth; Ulrich Kertzscher; Franziska Degener; Marcus Kelm; Simon Sündermann; Titus Kuehne
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-07-14       Impact factor: 2.924

6.  A method to quantify mechanobiologic forces during zebrafish cardiac development using 4-D light sheet imaging and computational modeling.

Authors:  Vijay Vedula; Juhyun Lee; Hao Xu; C-C Jay Kuo; Tzung K Hsiai; Alison L Marsden
Journal:  PLoS Comput Biol       Date:  2017-10-30       Impact factor: 4.475

7.  Comparative Analysis of Right Ventricle Fluid Dynamics.

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

8.  A D-Shaped Bileaflet Bioprosthesis which Replicates Physiological Left Ventricular Flow Patterns.

Authors:  Sean Guo-Dong Tan; Sangho Kim; Jimmy Kim Fatt Hon; Hwa Liang Leo
Journal:  PLoS One       Date:  2016-06-03       Impact factor: 3.240

Review 9.  Heart blood flow simulation: a perspective review.

Authors:  Siamak N Doost; Dhanjoo Ghista; Boyang Su; Liang Zhong; Yosry S Morsi
Journal:  Biomed Eng Online       Date:  2016-08-25       Impact factor: 2.819

Review 10.  Application of Patient-Specific Computational Fluid Dynamics in Coronary and Intra-Cardiac Flow Simulations: Challenges and Opportunities.

Authors:  Liang Zhong; Jun-Mei Zhang; Boyang Su; Ru San Tan; John C Allen; Ghassan S Kassab
Journal:  Front Physiol       Date:  2018-06-26       Impact factor: 4.566

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