Computational Fluid Dynamics Support for Fontan Planning in Minutes, Not Hours : The Next Step in Clinical Pre-Interventional Simulations
(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.
(Less)
- author
- Frieberg, Petter LU ; Aristokleous, Nicolas LU ; Sjöberg, Pia LU ; Töger, Johannes LU ; Liuba, Petru LU and Carlsson, Marcus LU
- organization
- publishing date
- 2022
- 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
-
- scopus:85121724918
- pmid:34961904
- 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
- 2024-09-10 02:08:28
@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}}, }