Literature DB >> 21484526

In vivo imaging and computational analysis of the aortic root. Application in clinical research and design of transcatheter aortic valve systems.

Paul Schoenhagen1, Alexander Hill, Tim Kelley, Zoran Popovic, Sandra S Halliburton.   

Abstract

Valvular heart disease is a major cause of morbidity and mortality in developing and industrialized countries. For patients with advanced symptomatic disease, surgical open-heart valve replacement is an effective treatment, supported by long-term outcome data. More recently, less-invasive transcatheter approaches for valve replacement/implantation have been developed for patients that are not considered surgical candidates. An understanding of valvular and paravalvular anatomy and biomechanics is pivotal for the optimization of interventional valve procedures. Advanced imaging is increasingly used not only for clinical guidance but also for the design and further improvement of transcatheter valve systems. Computed tomography is particularly attractive because it acquires high-resolution volumetric data sets of the root including the leaflets and coronary artery ostia, with sufficient temporal resolution for multi-phasic analysis. These volumetric data sets allow subsequent 3-D and 4-D display, reconstruction in unlimited planes, and mathematical modeling. Computer modeling, specifically finite element analysis, of devices intended for implantation in the aortic root, allows for structural analysis of devices and modeling of the interaction between the device and cardiovascular anatomy. This paper will provide an overview of computer modeling of the aortic root and describe FEA approaches that could be applied to TAVI and have an impact on clinical practice and device design.

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Year:  2011        PMID: 21484526     DOI: 10.1007/s12265-011-9277-z

Source DB:  PubMed          Journal:  J Cardiovasc Transl Res        ISSN: 1937-5387            Impact factor:   4.132


  94 in total

1.  Aortic valve calcification on computed tomography predicts the severity of aortic stenosis.

Authors:  G J Morgan-Hughes; C A Roobottom
Journal:  Clin Radiol       Date:  2004-02       Impact factor: 2.350

2.  Geometric modeling of functional trileaflet aortic valves: development and clinical applications.

Authors:  Michel R Labrosse; Carsten J Beller; Francis Robicsek; Mano J Thubrikar
Journal:  J Biomech       Date:  2005-09-30       Impact factor: 2.712

3.  Transluminal implantation of artificial heart valves. Description of a new expandable aortic valve and initial results with implantation by catheter technique in closed chest pigs.

Authors:  H R Andersen; L L Knudsen; J M Hasenkam
Journal:  Eur Heart J       Date:  1992-05       Impact factor: 29.983

4.  A multiscale computational comparison of the bicuspid and tricuspid aortic valves in relation to calcific aortic stenosis.

Authors:  Eli J Weinberg; Mohammad R Kaazempur Mofrad
Journal:  J Biomech       Date:  2008-11-08       Impact factor: 2.712

5.  A 'hemispherical' model of aortic valvar geometry.

Authors:  J Scott Rankin; Arthur F Dalley; Philip S Crooke; Robert H Anderson
Journal:  J Heart Valve Dis       Date:  2008-03

6.  Three dimensional evaluation of the aortic annulus using multislice computer tomography: are manufacturer's guidelines for sizing for percutaneous aortic valve replacement helpful?

Authors:  Carl J Schultz; Adriaan Moelker; Nicolo Piazza; Apostolos Tzikas; Amber Otten; Rutger J Nuis; Lisan A Neefjes; Robert J van Geuns; Pim de Feyter; Gabriel Krestin; Patrick W Serruys; Peter P T de Jaegere
Journal:  Eur Heart J       Date:  2009-12-07       Impact factor: 29.983

7.  First-in-man implantation of a novel percutaneous valve: a new approach to medical device development.

Authors:  Silvia Schievano; Andrew M Taylor; Claudio Capelli; Louise Coats; Fiona Walker; Philipp Lurz; Johannes Nordmeyer; Sue Wright; Sachin Khambadkone; Victor Tsang; Mario Carminati; Philipp Bonhoeffer
Journal:  EuroIntervention       Date:  2010-01       Impact factor: 6.534

8.  Stress analysis of aortic valve leaflets with smoothed geometrical data.

Authors:  A Cataloglu; R E Clark; P L Gould
Journal:  J Biomech       Date:  1977       Impact factor: 2.712

9.  Aortic root remodeling over the adult life course: longitudinal data from the Framingham Heart Study.

Authors:  Carolyn S P Lam; Vanessa Xanthakis; Lisa M Sullivan; Wolfgang Lieb; Jayashri Aragam; Margaret M Redfield; Gary F Mitchell; Emelia J Benjamin; Ramachandran S Vasan
Journal:  Circulation       Date:  2010-08-16       Impact factor: 29.690

10.  Three-year outcome after balloon aortic valvuloplasty. Insights into prognosis of valvular aortic stenosis.

Authors:  C M Otto; M C Mickel; J W Kennedy; E L Alderman; T M Bashore; P C Block; J A Brinker; D Diver; J Ferguson; D R Holmes
Journal:  Circulation       Date:  1994-02       Impact factor: 29.690

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  5 in total

1.  Patient-specific simulations of transcatheter aortic valve stent implantation.

Authors:  C Capelli; G M Bosi; E Cerri; J Nordmeyer; T Odenwald; P Bonhoeffer; F Migliavacca; A M Taylor; S Schievano
Journal:  Med Biol Eng Comput       Date:  2012-02       Impact factor: 2.602

2.  Quantification of biomechanical interaction of transcatheter aortic valve stent deployed in porcine and ovine hearts.

Authors:  Joseph Mummert; Eric Sirois; Wei Sun
Journal:  Ann Biomed Eng       Date:  2012-11-17       Impact factor: 3.934

Review 3.  Computed tomography in the evaluation for transcatheter aortic valve implantation (TAVI).

Authors:  Paul Schoenhagen; Jörg Hausleiter; Stephan Achenbach; Milind Y Desai; E Murat Tuzcu
Journal:  Cardiovasc Diagn Ther       Date:  2011-12

4.  A validated computational framework to predict outcomes in TAVI.

Authors:  Giorgia M Bosi; Claudio Capelli; Mun Hong Cheang; Nicola Delahunty; Michael Mullen; Andrew M Taylor; Silvia Schievano
Journal:  Sci Rep       Date:  2020-06-18       Impact factor: 4.379

5.  Population-specific material properties of the implantation site for transcatheter aortic valve replacement finite element simulations.

Authors:  Giorgia M Bosi; Claudio Capelli; Mun Hong Cheang; Nicola Delahunty; Michael Mullen; Andrew M Taylor; Silvia Schievano
Journal:  J Biomech       Date:  2018-02-20       Impact factor: 2.712

  5 in total

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