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Role of Computational Modelling in Planning and Executing Interventional Procedures for Congenital Heart Disease.

Abstract Increasingly, computational modelling and numerical simulations are used to help plan complex surgical and interventional cardiovascular procedures in children and young adults with congenital heart disease. From its origins more than 30 years ago, surgical planning with analysis of flow hemodynamics and energy loss/efficiency has helped design and implement many modifications to existing techniques. On the basis of patient-specific medical imaging, surgical planning allows accurate model production that can then be manipulated in a virtual surgical environment, with the proposed solutions finally tested with advanced computational fluid dynamics to evaluate the results. Applications include a broad range of congenital heart disease, including patients with single-ventricle anatomy undergoing staged palliation, those with arch obstruction, with double outlet right ventricle, or with tetralogy of Fallot. In the present work, we focus on clinical applications of this exciting field. We describe the framework for these techniques, including brief descriptions of the engineering principles applied and the interaction between "benchtop" data with medical decision-making. We highlight some early insights learned from pioneers over the past few decades, including refinements in Fontan baffle geometries and configurations. Finally, we offer a glimpse into exciting advances that are presently being explored, including use of modelling for transcatheter interventions. In this era of personalized medicine, computational modelling and surgical planning allows patient-specific tailoring of interventions to optimize clinical outcomes.
PMID
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Authors

Mayor MeshTerms

Computer Simulation

Models, Cardiovascular

Keywords
Journal Title the canadian journal of cardiology
Publication Year Start




PMID- 28843327
OWN - NLM
STAT- MEDLINE
DA  - 20170827
DCOM- 20170901
LR  - 20170901
IS  - 1916-7075 (Electronic)
IS  - 0828-282X (Linking)
VI  - 33
IP  - 9
DP  - 2017 Sep
TI  - Role of Computational Modelling in Planning and Executing Interventional
      Procedures for Congenital Heart Disease.
PG  - 1159-1170
LID - S0828-282X(17)30274-X [pii]
LID - 10.1016/j.cjca.2017.05.024 [doi]
AB  - Increasingly, computational modelling and numerical simulations are used to help 
      plan complex surgical and interventional cardiovascular procedures in children
      and young adults with congenital heart disease. From its origins more than 30
      years ago, surgical planning with analysis of flow hemodynamics and energy
      loss/efficiency has helped design and implement many modifications to existing
      techniques. On the basis of patient-specific medical imaging, surgical planning
      allows accurate model production that can then be manipulated in a virtual
      surgical environment, with the proposed solutions finally tested with advanced
      computational fluid dynamics to evaluate the results. Applications include a
      broad range of congenital heart disease, including patients with single-ventricle
      anatomy undergoing staged palliation, those with arch obstruction, with double
      outlet right ventricle, or with tetralogy of Fallot. In the present work, we
      focus on clinical applications of this exciting field. We describe the framework 
      for these techniques, including brief descriptions of the engineering principles 
      applied and the interaction between "benchtop" data with medical decision-making.
      We highlight some early insights learned from pioneers over the past few decades,
      including refinements in Fontan baffle geometries and configurations. Finally, we
      offer a glimpse into exciting advances that are presently being explored,
      including use of modelling for transcatheter interventions. In this era of
      personalized medicine, computational modelling and surgical planning allows
      patient-specific tailoring of interventions to optimize clinical outcomes.
CI  - Copyright (c) 2017 Canadian Cardiovascular Society. Published by Elsevier Inc.
      All rights reserved.
FAU - Slesnick, Timothy C
AU  - Slesnick TC
AD  - Emory University School of Medicine, Children's Healthcare of Atlanta, Atlanta,
      Georgia. Electronic address: [email protected]
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20170603
PL  - England
TA  - Can J Cardiol
JT  - The Canadian journal of cardiology
JID - 8510280
SB  - IM
MH  - Cardiac Surgical Procedures/*methods
MH  - *Computer Simulation
MH  - Heart Defects, Congenital/*surgery
MH  - Humans
MH  - *Models, Cardiovascular
EDAT- 2017/08/28 06:00
MHDA- 2017/09/02 06:00
CRDT- 2017/08/28 06:00
PHST- 2017/02/02 [received]
PHST- 2017/05/26 [revised]
PHST- 2017/05/27 [accepted]
AID - S0828-282X(17)30274-X [pii]
AID - 10.1016/j.cjca.2017.05.024 [doi]
PST - ppublish
SO  - Can J Cardiol. 2017 Sep;33(9):1159-1170. doi: 10.1016/j.cjca.2017.05.024. Epub
      2017 Jun 3.