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Computational Fluid Dynamics Support for Fontan Planning in Minutes, Not Hours : The Next Step in Clinical Pre-Interventional Simulations

Frieberg, Petter LU ; Aristokleous, Nicolas LU orcid ; Sjöberg, Pia LU ; Töger, Johannes LU ; Liuba, Petru LU and Carlsson, Marcus LU (2022) In Journal of Cardiovascular Translational Research 15(4). p.708-720
Abstract

Computational fluid dynamics (CFD) modeling may aid in planning of invasive interventions in Fontan patients. Clinical application of current CFD techniques is however limited by complexity and long computation times. Therefore, we validated a "lean" CFD method to magnetic resonance imaging (MRI) and an "established" CFD method, ultimately aiming to reduce complexity to enable predictive CFD during ongoing interventions. Fifteen Fontan patients underwent MRI for CFD modeling. The differences between lean and established approach, in hepatic and total flow percentage to the left pulmonary artery (%LPA), power loss and relative wall shear stress area were 1.5 ± 4.0%, -0.17 ± 1.1%, -0.055 ± 0.092 mW and 1.1 ± 1.4%. Compared with MRI, the... (More)

Computational fluid dynamics (CFD) modeling may aid in planning of invasive interventions in Fontan patients. Clinical application of current CFD techniques is however limited by complexity and long computation times. Therefore, we validated a "lean" CFD method to magnetic resonance imaging (MRI) and an "established" CFD method, ultimately aiming to reduce complexity to enable predictive CFD during ongoing interventions. Fifteen Fontan patients underwent MRI for CFD modeling. The differences between lean and established approach, in hepatic and total flow percentage to the left pulmonary artery (%LPA), power loss and relative wall shear stress area were 1.5 ± 4.0%, -0.17 ± 1.1%, -0.055 ± 0.092 mW and 1.1 ± 1.4%. Compared with MRI, the lean and established method showed a bias in %LPA of -1.9 ± 3.4% and -1.8 ± 3.1%. Computation time was for the lean and established approach 3.0 ± 2.0 min and 7.0 ± 3.4 h, respectively. We conclude that the proposed lean method provides fast and reliable results for future CFD support during interventions.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Cardiovascular Translational Research
volume
15
issue
4
pages
708 - 720
publisher
Springer
external identifiers
  • pmid:34961904
  • scopus:85121724918
ISSN
1937-5395
DOI
10.1007/s12265-021-10198-6
project
Predictive simulation of congenital right heart disorders
language
English
LU publication?
yes
additional info
© 2021. The Author(s).
id
c67ab9ff-82f9-43b4-89c9-7607260e23e5
date added to LUP
2022-02-17 10:48:23
date last changed
2024-06-18 20:52:43
@article{c67ab9ff-82f9-43b4-89c9-7607260e23e5,
  abstract     = {{<p>Computational fluid dynamics (CFD) modeling may aid in planning of invasive interventions in Fontan patients. Clinical application of current CFD techniques is however limited by complexity and long computation times. Therefore, we validated a "lean" CFD method to magnetic resonance imaging (MRI) and an "established" CFD method, ultimately aiming to reduce complexity to enable predictive CFD during ongoing interventions. Fifteen Fontan patients underwent MRI for CFD modeling. The differences between lean and established approach, in hepatic and total flow percentage to the left pulmonary artery (%LPA), power loss and relative wall shear stress area were 1.5 ± 4.0%, -0.17 ± 1.1%, -0.055 ± 0.092 mW and 1.1 ± 1.4%. Compared with MRI, the lean and established method showed a bias in %LPA of -1.9 ± 3.4% and -1.8 ± 3.1%. Computation time was for the lean and established approach 3.0 ± 2.0 min and 7.0 ± 3.4 h, respectively. We conclude that the proposed lean method provides fast and reliable results for future CFD support during interventions.</p>}},
  author       = {{Frieberg, Petter and Aristokleous, Nicolas and Sjöberg, Pia and Töger, Johannes and Liuba, Petru and Carlsson, Marcus}},
  issn         = {{1937-5395}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{708--720}},
  publisher    = {{Springer}},
  series       = {{Journal of Cardiovascular Translational Research}},
  title        = {{Computational Fluid Dynamics Support for Fontan Planning in Minutes, Not Hours : The Next Step in Clinical Pre-Interventional Simulations}},
  url          = {{http://dx.doi.org/10.1007/s12265-021-10198-6}},
  doi          = {{10.1007/s12265-021-10198-6}},
  volume       = {{15}},
  year         = {{2022}},
}