Literature DB >> 29479395

The Role of Computational Modeling and Simulation in the Total Product Life Cycle of Peripheral Vascular Devices.

Tina M Morrison1, Maureen L Dreher1, Srinidhi Nagaraja1, Leonardo M Angelone1, Wolfgang Kainz1.   

Abstract

The total product life cycle (TPLC) of medical devices has been defined by four stages: discovery and ideation, regulatory decision, product launch, and postmarket monitoring. Manufacturers of medical devices intended for use in the peripheral vasculature, such as stents, inferior vena cava (IVC) filters, and stent-grafts, mainly use computational modeling and simulation (CM&S) to aid device development and design optimization, supplement bench testing for regulatory decisions, and assess postmarket changes or failures. For example, computational solid mechanics and fluid dynamics enable the investigation of design limitations in the ideation stage. To supplement bench data in regulatory submissions, manufactures can evaluate the effects of anatomical characteristics and expected in vivo loading environment on device performance. Manufacturers might also harness CM&S to aid root-cause analyses that are necessary when failures occur postmarket, when the device is exposed to broad clinical use. Once identified, CM&S tools can then be used for redesign to address the failure mode and re-establish the performance profile with the appropriate models. The Center for Devices and Radiological Health (CDRH) wants to advance the use of CM&S for medical devices and supports the development of virtual physiological patients, clinical trial simulations, and personalized medicine. Thus, the purpose of this paper is to describe specific examples of how CM&S is currently used to support regulatory submissions at different phases of the TPLC and to present some of the stakeholder-led initiatives for advancing CM&S for regulatory decision-making.

Entities:  

Year:  2017        PMID: 29479395      PMCID: PMC5823268          DOI: 10.1115/1.4035866

Source DB:  PubMed          Journal:  J Med Device        ISSN: 1932-6181            Impact factor:   0.582


  1 in total

1.  A System for Optimizing Medical Device Development Using Finite Element Analysis Predictions.

Authors:  Chi-Lun Lin; Ashutosh Srivastava; Dane Coffey; Daniel Keefe; Marc Horner; Mark Swenson; Arthur Erdman
Journal:  J Med Device       Date:  2014-04-28       Impact factor: 0.582

  1 in total
  10 in total

1.  Assessing Computational Model Credibility Using a Risk-Based Framework: Application to Hemolysis in Centrifugal Blood Pumps.

Authors:  Tina M Morrison; Prasanna Hariharan; Chloe M Funkhouser; Payman Afshari; Mark Goodin; Marc Horner
Journal:  ASAIO J       Date:  2019 May/Jun       Impact factor: 2.872

2.  Advances in Computational Human Phantoms and Their Applications in Biomedical Engineering - A Topical Review.

Authors:  Wolfgang Kainz; Esra Neufeld; Wesley E Bolch; Christian G Graff; Chan Hyeong Kim; Niels Kuster; Bryn Lloyd; Tina Morrison; Paul Segars; Yeon Soo Yeom; Maria Zankl; X George Xu; Benjamin M W Tsui
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2019-01

3.  Patient-Specific Immersed Finite Element-Difference Model of Transcatheter Aortic Valve Replacement.

Authors:  Jordan A Brown; Jae H Lee; Margaret Anne Smith; David R Wells; Aaron Barrett; Charles Puelz; John P Vavalle; Boyce E Griffith
Journal:  Ann Biomed Eng       Date:  2022-10-20       Impact factor: 4.219

4.  Picosecond Laser-Induced Photothermal Skin Damage Evaluation by Computational Clinical Trial.

Authors:  Y Shimojo; T Nishimura; H Hazama; N Ito; K Awazu
Journal:  Laser Ther       Date:  2020-07-17

5.  Use of the FDA nozzle model to illustrate validation techniques in computational fluid dynamics (CFD) simulations.

Authors:  Prasanna Hariharan; Gavin A D'Souza; Marc Horner; Tina M Morrison; Richard A Malinauskas; Matthew R Myers
Journal:  PLoS One       Date:  2017-06-08       Impact factor: 3.240

6.  Fluid-Structure Interaction Models of Bioprosthetic Heart Valve Dynamics in an Experimental Pulse Duplicator.

Authors:  Jae H Lee; Alex D Rygg; Ebrahim M Kolahdouz; Simone Rossi; Stephen M Retta; Nandini Duraiswamy; Lawrence N Scotten; Brent A Craven; Boyce E Griffith
Journal:  Ann Biomed Eng       Date:  2020-02-07       Impact factor: 3.934

7.  Bioprosthetic aortic valve diameter and thickness are directly related to leaflet fluttering: Results from a combined experimental and computational modeling study.

Authors:  Jae H Lee; Lawrence N Scotten; Robert Hunt; Thomas G Caranasos; John P Vavalle; Boyce E Griffith
Journal:  JTCVS Open       Date:  2020-09-21

8.  Advancing Regulatory Science With Computational Modeling for Medical Devices at the FDA's Office of Science and Engineering Laboratories.

Authors:  Tina M Morrison; Pras Pathmanathan; Mariam Adwan; Edward Margerrison
Journal:  Front Med (Lausanne)       Date:  2018-09-25

9.  Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial.

Authors:  Aldo Badano; Christian G Graff; Andreu Badal; Diksha Sharma; Rongping Zeng; Frank W Samuelson; Stephen J Glick; Kyle J Myers
Journal:  JAMA Netw Open       Date:  2018-11-02

10.  The 'Digital Twin' to enable the vision of precision cardiology.

Authors:  Jorge Corral-Acero; Francesca Margara; Maciej Marciniak; Cristobal Rodero; Filip Loncaric; Yingjing Feng; Andrew Gilbert; Joao F Fernandes; Hassaan A Bukhari; Ali Wajdan; Manuel Villegas Martinez; Mariana Sousa Santos; Mehrdad Shamohammdi; Hongxing Luo; Philip Westphal; Paul Leeson; Paolo DiAchille; Viatcheslav Gurev; Manuel Mayr; Liesbet Geris; Pras Pathmanathan; Tina Morrison; Richard Cornelussen; Frits Prinzen; Tammo Delhaas; Ada Doltra; Marta Sitges; Edward J Vigmond; Ernesto Zacur; Vicente Grau; Blanca Rodriguez; Espen W Remme; Steven Niederer; Peter Mortier; Kristin McLeod; Mark Potse; Esther Pueyo; Alfonso Bueno-Orovio; Pablo Lamata
Journal:  Eur Heart J       Date:  2020-12-21       Impact factor: 29.983

  10 in total

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