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Creation and application of virtual patient cohorts of heart models.
Niederer, S A; Aboelkassem, Y; Cantwell, C D; Corrado, C; Coveney, S; Cherry, E M; Delhaas, T; Fenton, F H; Panfilov, A V; Pathmanathan, P; Plank, G; Riabiz, M; Roney, C H; Dos Santos, R W; Wang, L.
Afiliação
  • Niederer SA; King's College London, London, UK.
  • Aboelkassem Y; University of California San Diego, La Jolla, CA, USA.
  • Cantwell CD; Imperial College London, London, UK.
  • Corrado C; King's College London, London, UK.
  • Coveney S; University of Sheffield, Sheffield, UK.
  • Cherry EM; Georgia Institute of Technology, Atlanta, GA, USA.
  • Delhaas T; Maastricht University, Maastricht, the Netherlands.
  • Fenton FH; Georgia Institute of Technology, Atlanta, GA, USA.
  • Panfilov AV; Ghent University, Gent, Belgium.
  • Pathmanathan P; Laboratory of Computational Biology and Medicine, Ural Federal University, Ekaterinburg, Russia.
  • Plank G; Center for Devices and Radiological Health, U.S. Food and Administration, Rockville, MD, USA.
  • Riabiz M; Medical University of Graz, Graz, Austria.
  • Roney CH; King's College London, London, UK.
  • Dos Santos RW; King's College London, London, UK.
  • Wang L; Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil.
Philos Trans A Math Phys Eng Sci ; 378(2173): 20190558, 2020 Jun 12.
Article em En | MEDLINE | ID: mdl-32448064
ABSTRACT
Patient-specific cardiac models are now being used to guide therapies. The increased use of patient-specific cardiac simulations in clinical care will give rise to the development of virtual cohorts of cardiac models. These cohorts will allow cardiac simulations to capture and quantify inter-patient variability. However, the development of virtual cohorts of cardiac models will require the transformation of cardiac modelling from small numbers of bespoke models to robust and rapid workflows that can create large numbers of models. In this review, we describe the state of the art in virtual cohorts of cardiac models, the process of creating virtual cohorts of cardiac models, and how to generate the individual cohort member models, followed by a discussion of the potential and future applications of virtual cohorts of cardiac models. This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelagem Computacional Específica para o Paciente / Modelos Cardiovasculares Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: Philos Trans A Math Phys Eng Sci Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelagem Computacional Específica para o Paciente / Modelos Cardiovasculares Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: Philos Trans A Math Phys Eng Sci Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido