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Computational modelling of multi-folded balloon delivery systems for coronary artery stenting: insights into patient-specific stent malapposition

Computational modelling of multi-folded balloon delivery systems for coronary artery stenting: insights into patient-specific stent malapposition
Computational modelling of multi-folded balloon delivery systems for coronary artery stenting: insights into patient-specific stent malapposition
Despite the clinical effectiveness of coronary artery stenting, percutaneous coronary intervention or “stenting” is not free of complications. Stent malapposition (SM) is a common feature of “stenting” particularly in challenging anatomy, such as that characterized by long, tortuous and bifurcated segments. SM is an important risk factor for stent thrombosis and recently it has been associated with longitudinal stent deformation. SM is the result of many factors including reference diameter, vessel tapering, the deployment pressure and the eccentric anatomy of the vessel. For the purpose of the present paper, virtual multi-folded balloon models have been developed for simulated deployment in both constant and varying diameter vessels under uniform pressure. The virtual balloons have been compared to available compliance charts to ensure realistic inflation response at nominal pressures. Thereafter, patient-specific simulations of stenting have been conducted aiming to reduce SM. Different scalar indicators, which allow a more global quantitative judgement of the mechanical performance of each delivery system, have been implemented. The results indicate that at constant pressure, the proposed balloon models can increase the minimum stent lumen area and thereby significantly decrease SM
0090-6964
1-36
Ragkousis, G.
a61b817c-7578-49da-94d8-dfa8ec6fd4a2
Curzen, Nick P.
70f3ea49-51b1-418f-8e56-8210aef1abf4
Bressloff, Neil W.
4f531e64-dbb3-41e3-a5d3-e6a5a7a77c92
Ragkousis, G.
a61b817c-7578-49da-94d8-dfa8ec6fd4a2
Curzen, Nick P.
70f3ea49-51b1-418f-8e56-8210aef1abf4
Bressloff, Neil W.
4f531e64-dbb3-41e3-a5d3-e6a5a7a77c92

Ragkousis, G., Curzen, Nick P. and Bressloff, Neil W. (2015) Computational modelling of multi-folded balloon delivery systems for coronary artery stenting: insights into patient-specific stent malapposition. Annals of Biomedical Engineering, 43, 1-36. (doi:10.1007/s10439-014-1237-8). (PMID:25575740)

Record type: Article

Abstract

Despite the clinical effectiveness of coronary artery stenting, percutaneous coronary intervention or “stenting” is not free of complications. Stent malapposition (SM) is a common feature of “stenting” particularly in challenging anatomy, such as that characterized by long, tortuous and bifurcated segments. SM is an important risk factor for stent thrombosis and recently it has been associated with longitudinal stent deformation. SM is the result of many factors including reference diameter, vessel tapering, the deployment pressure and the eccentric anatomy of the vessel. For the purpose of the present paper, virtual multi-folded balloon models have been developed for simulated deployment in both constant and varying diameter vessels under uniform pressure. The virtual balloons have been compared to available compliance charts to ensure realistic inflation response at nominal pressures. Thereafter, patient-specific simulations of stenting have been conducted aiming to reduce SM. Different scalar indicators, which allow a more global quantitative judgement of the mechanical performance of each delivery system, have been implemented. The results indicate that at constant pressure, the proposed balloon models can increase the minimum stent lumen area and thereby significantly decrease SM

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Accepted/In Press date: 22 December 2014
e-pub ahead of print date: 10 January 2015
Published date: August 2015
Organisations: Computational Engineering & Design Group

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Local EPrints ID: 374119
URI: http://eprints.soton.ac.uk/id/eprint/374119
ISSN: 0090-6964
PURE UUID: 46abef54-f936-4d76-9e58-486ea76f3260
ORCID for Nick P. Curzen: ORCID iD orcid.org/0000-0001-9651-7829

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Date deposited: 06 Feb 2015 14:26
Last modified: 15 Mar 2024 03:23

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Contributors

Author: G. Ragkousis
Author: Nick P. Curzen ORCID iD

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