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Abdollahi R, Shahi A, Roy D, Lessard S, Mongrain R, Soulez G. Virtual and analytical self-expandable braided stent treatment models. Med Eng Phys 2024; 126:104145. [PMID: 38621838 DOI: 10.1016/j.medengphy.2024.104145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 02/25/2024] [Accepted: 03/09/2024] [Indexed: 04/17/2024]
Abstract
The Flow Diverter is a self-expandable braided stent that has helped improve the effectiveness of cerebral aneurysm treatment during the last decade. The Flow Diverter's efficiency heavily relies on proper decision-making during the pre-operative phase, which is currently based on static measurements that fail to account for vessel or tissue deformation. In the context of providing realistic measurements, a biomechanical computational method is designed to aid physicians in predicting patient-specific treatment outcomes. The method integrates virtual and analytical treatment models, validated against experimental mechanical tests, and two patient treatment outcomes. In the case of both patients, deployed stent length was one of the validated result parameters, which displayed an error inferior to 1.5% for the virtual and analytical models. These results indicated both models' accuracy. However, the analytical model provided more accurate results with a 0.3% error while requiring a lower computational cost for length prediction. This computational method can offer designing and testing platforms for predicting possible intervention-related complications, patient-specific medical device designs, and pre-operative planning to automate interventional procedures.
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Affiliation(s)
- Reza Abdollahi
- Faculté de médecine, Université de Montréal, H3T 1J4, Montréal, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, H2X 0A9, Montréal, Canada
| | - Amirali Shahi
- Faculté de médecine, Université de Montréal, H3T 1J4, Montréal, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, H2X 0A9, Montréal, Canada
| | - Daniel Roy
- Faculté de médecine, Université de Montréal, H3T 1J4, Montréal, Canada; Département de Radiologie, Centre Hospitalier de l'Université de Montréal, H2X 0C1, Montréal, Canada
| | - Simon Lessard
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, H2X 0A9, Montréal, Canada; École de Technologie Supérieure, H3C 1K3, Montréal, Canada
| | - Rosaire Mongrain
- Mechanical Engineering Department, McGill University, H3A 0C3, Montréal, Canada
| | - Gilles Soulez
- Faculté de médecine, Université de Montréal, H3T 1J4, Montréal, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, H2X 0A9, Montréal, Canada; Département de Radiologie, Centre Hospitalier de l'Université de Montréal, H2X 0C1, Montréal, Canada.
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