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Validation of fluid-structure interaction simulations of the opening phase of phantom mitral heart valves under physiologically inspired conditions

Christierson, Lea LU ; Frieberg, Petter LU ; Lala, Tania LU ; Töger, Johannes LU ; Liuba, Petru LU ; Revstedt, Johan LU ; Isaksson, Hanna LU orcid and Hakacova, Nina LU (2024) In Computers in Biology and Medicine 171. p.1-12
Abstract
Background and objective
Atrioventricular valve disease is a common cause of heart failure, and successful surgical or interventional outcomes are crucial. Patient-specific fluid-structure interaction (FSI) modeling may provide valuable insights into valve dynamics and guidance of valve repair strategies. However, lack of validation has kept FSI modeling from clinical implementation. Therefore, this study aims to validate FSI simulations against in vitro benchmarking data, based on clinically relevant parameters for evaluating heart valve disease.

Methods
An FSI model that mimics the left heart was developed. The domain included a deformable mitral valve of different stiffnesses run with different inlet velocities. Five... (More)
Background and objective
Atrioventricular valve disease is a common cause of heart failure, and successful surgical or interventional outcomes are crucial. Patient-specific fluid-structure interaction (FSI) modeling may provide valuable insights into valve dynamics and guidance of valve repair strategies. However, lack of validation has kept FSI modeling from clinical implementation. Therefore, this study aims to validate FSI simulations against in vitro benchmarking data, based on clinically relevant parameters for evaluating heart valve disease.

Methods
An FSI model that mimics the left heart was developed. The domain included a deformable mitral valve of different stiffnesses run with different inlet velocities. Five different cases were simulated and compared to in vitro data based on the pressure difference across the valve, the valve opening, and the velocity in the flow domain.

Results
The simulations underestimate the pressure difference across the valve by 6.8–14 % compared to catheter measurements. Evaluation of the valve opening showed an underprediction of 5.4–7.3 % when compared to cine MRI, 2D Echo, and 3D Echo data. Additionally, the simulated velocity through the valve showed a 7.9–8.4 % underprediction in relation to Doppler Echo measurements. Qualitative assessment of the velocity profile in the ventricle and the streamlines of the flow in the domain showed good agreement of the flow behavior.

Conclusions
Parameters relevant to the diagnosis of heart valve disease estimated by FSI simulations showed good agreement when compared to in vitro benchmarking data, with differences small enough not to affect the grading of heart valve disease. The FSI model is thus deemed good enough for further development toward patient-specific cases. (Less)
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author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Computers in Biology and Medicine
volume
171
article number
108033
pages
1 - 12
publisher
Elsevier
external identifiers
  • scopus:85186563654
  • pmid:38430739
ISSN
0010-4825
DOI
10.1016/j.compbiomed.2024.108033
language
English
LU publication?
yes
id
1d754e7c-d6eb-4a7e-8bf3-b6d0284326f5
date added to LUP
2024-03-11 15:02:50
date last changed
2024-03-13 08:24:45
@article{1d754e7c-d6eb-4a7e-8bf3-b6d0284326f5,
  abstract     = {{Background and objective<br/>Atrioventricular valve disease is a common cause of heart failure, and successful surgical or interventional outcomes are crucial. Patient-specific fluid-structure interaction (FSI) modeling may provide valuable insights into valve dynamics and guidance of valve repair strategies. However, lack of validation has kept FSI modeling from clinical implementation. Therefore, this study aims to validate FSI simulations against in vitro benchmarking data, based on clinically relevant parameters for evaluating heart valve disease.<br/><br/>Methods<br/>An FSI model that mimics the left heart was developed. The domain included a deformable mitral valve of different stiffnesses run with different inlet velocities. Five different cases were simulated and compared to in vitro data based on the pressure difference across the valve, the valve opening, and the velocity in the flow domain.<br/><br/>Results<br/>The simulations underestimate the pressure difference across the valve by 6.8–14 % compared to catheter measurements. Evaluation of the valve opening showed an underprediction of 5.4–7.3 % when compared to cine MRI, 2D Echo, and 3D Echo data. Additionally, the simulated velocity through the valve showed a 7.9–8.4 % underprediction in relation to Doppler Echo measurements. Qualitative assessment of the velocity profile in the ventricle and the streamlines of the flow in the domain showed good agreement of the flow behavior.<br/><br/>Conclusions<br/>Parameters relevant to the diagnosis of heart valve disease estimated by FSI simulations showed good agreement when compared to in vitro benchmarking data, with differences small enough not to affect the grading of heart valve disease. The FSI model is thus deemed good enough for further development toward patient-specific cases.}},
  author       = {{Christierson, Lea and Frieberg, Petter and Lala, Tania and Töger, Johannes and Liuba, Petru and Revstedt, Johan and Isaksson, Hanna and Hakacova, Nina}},
  issn         = {{0010-4825}},
  language     = {{eng}},
  month        = {{02}},
  pages        = {{1--12}},
  publisher    = {{Elsevier}},
  series       = {{Computers in Biology and Medicine}},
  title        = {{Validation of fluid-structure interaction simulations of the opening phase of phantom mitral heart valves under physiologically inspired conditions}},
  url          = {{http://dx.doi.org/10.1016/j.compbiomed.2024.108033}},
  doi          = {{10.1016/j.compbiomed.2024.108033}},
  volume       = {{171}},
  year         = {{2024}},
}