Page 59 - Read Online
P. 59

Morgan et al. Vessel Plus 2020;4:6                                          Vessel Plus
               DOI: 10.20517/2574-1209.2019.32




               Review                                                                        Open Access


               Imaging and computational modeling of tricuspid
               regurgitation and repair


               Ashley E. Morgan , Kenneth Howell , Stacey Chen , Rosemarie O. Serrone , Yue Zheng , Vicky Y. Wang ,
                                                                              1
                                                                                                       3
                                                                                         3
                                             1
                              1
                                                          2
               Jiwon J. Kim , Eugene Grossi , Craig H. Selzman , Julius M. Guccione , Vikas Sharma , Rob MacLeod ,
                          4
                                                                                                      5
                                                         1
                                         2
                                                                                        1
                                                                           3
               Mark B. Ratcliffe 3
               1 Department of Surgery, Cardiothoracic Surgery, University of Utah, Salt Lake City, UT 84112, USA.
               2 Department of Surgery, Cardiothoracic Surgery, New York University School of Medicine, New York, NY 10016, USA.
               3 Department of Bioengineering, Northern California Institute for Research and Education, San Francisco, CA 94121, USA.
               4 Department of Medicine, Cardiology, Weill-Cornell Medical College, New York, NY 10075, USA.
               5 Department of Engineering, University of Utah, Salt Lake City, UT 84112, USA.
               Correspondence to: Dr. Ashley E. Morgan, Department of Surgery, Division of Cardiothoracic Surgery, University of Utah, 30 N
               1900 E, SOM 3C-127, Salt Lake City, UT 84132, USA. E-mail: ashley-morgan@hsc.utah.edu
               How to cite this article: Morgan AE, Howell K, Chen S, Serrone RO, Zheng Y, Wang VY, Kim JJ, Grossi E, Selzman CH, Guccione
               JM, Sharma V, MacLeod R, Ratcliffe MB. Imaging and computational modeling of tricuspid regurgitation and repair. Vessel Plus
               2020;4:6. http://dx.doi.org/10.20517/2574-1209.2019.32
               Received: 10 Dec 2019    First Decision: 6 Jan 2020    Revised: 3 Feb 2020    Accepted: 3 Feb 2020    Published: 18 Mar 2020
               Science Editor: Mario F. L. Gaudino    Copy Editor: Jing-Wen Zhang    Production Editor: Tian Zhang


               Abstract
               The tricuspid valve (TV) and right ventricle (RV) are a complex mechanical system. Tricuspid regurgitation impacts a
               growing and heterogeneous population, leading to right-sided volume overload and right heart failure if left untreated.
               In part because isolated surgical tricuspid valve repair (TVR) is performed infrequently and has a high mortality, several
               percutaneous TVR options are being developed. However, the mechanical effects of different types of percutaneous or
               surgical TVR are unclear. Both the quality of RV imaging and the power of cardiac computational modeling have increased,
               and accurate computational models of the TV + RV with simulated TVR are now possible. Computational models of TV +
               RV may aid in patient selection and procedural planning prior to surgical and percutaneous TVR.

               Keywords: Adult cardiac surgery, tricuspid regurgitation, bioengineering, computational modeling, finite element modeling





               INTRODUCTION
               Tricuspid regurgitation (TR) affects an estimated 0.5% of the US adult population, equivalent to the
                                        [1]
               prevalence of aortic stenosis . The population of patients with moderate to severe TR is increasing with

                           © The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
                sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long
                as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
                and indicate if changes were made.


                                                                                                                                                       www.vpjournal.net
   54   55   56   57   58   59   60   61   62   63   64