Journal article : Letter
Synchronous inflation of a valvuloplasty balloon catheter with heart rate: in-vitro evaluation in terms of dilatation performance
- Abstract:
- Balloon aortic valvuloplasty (BAV), a minimally invasive procedure to alleviate aortic valve stenosis, commonly employs rapid ventricular pacing (RVP) for balloon stabilization. However, the repeated and extended operation time associated with this technique poses potential complications. This letter introduces a novel approach to mitigate these concerns by employing a dilatation mechanism that is synchronized with the cardiac frequency, wherein the balloon catheter is fully inflated and deflated to a safe, low volume during the decrement of the ventricular pressure. The synchronized pacing was tested at a heart rate of 60 bpm. To experimentally validate the performance of this new approach, mock aortic roots reproducing different calcification patterns were used to compare the leaflets' mobility after the dilatation test with traditional BAV. Results confirm successful balloon pacing, maintaining low volume before the ventricular pressure increases. The dilatation performance assessment underscores that the proposed methodology resulted in a higher improvement in terms of the transvalvular pressure gradient and opening area. Optimal performance occurs at 60 bpm, yielding a 30.28% gradient decrease and a 21.35% opening area increase. This research represents a notable step forward toward the development of BAV devices capable of autonomous stabilization, eliminating the need for RVP and its related complications. Furthermore, the use of calcified aortic root (AR) phantoms contributes to an enhanced understanding of hemodynamic implications during BAV procedures.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 9.3MB, Terms of use)
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- Publisher copy:
- 10.1109/lra.2024.3518066
Authors
- Publisher:
- IEEE
- Journal:
- IEEE Robotics and Automation Letters More from this journal
- Volume:
- 10
- Issue:
- 2
- Pages:
- 1114-1121
- Publication date:
- 2024-12-16
- Acceptance date:
- 2024-11-10
- DOI:
- EISSN:
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2377-3766
- Language:
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English
- Keywords:
- Subtype:
-
Letter
- Pubs id:
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2354014
- Local pid:
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pubs:2354014
- Source identifiers:
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W4405429447
- Deposit date:
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2026-03-10
- ARK identifier:
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2024
- Rights statement:
- © 2024 IEEE. All rights reserved, including rights for text and data mining, and training of artificial intelligence and similar technologies.
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
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