P81 Novel synthetic clot analogs for in-vitro stroke modelling. (29th August 2022)
- Record Type:
- Journal Article
- Title:
- P81 Novel synthetic clot analogs for in-vitro stroke modelling. (29th August 2022)
- Main Title:
- P81 Novel synthetic clot analogs for in-vitro stroke modelling
- Authors:
- Guerreiro, H
Wortmann, N
Andersek, T
Ngo, TN
Frölich, A
Krause, D
Fiehler, J
Kyselyova, A
Flottmann, F - Abstract:
- Abstract : Introduction: The increased demand for training of mechanical thrombectomy in ischemic stroke urges the creation of new simulation models for training and device assessment. Clot characterization has shown to play a role in procedural planning and thrombectomy device effectiveness. Aim of the Study: In this study, we aim to analyze the characteristics and applicability of completely synthetic, animal-free clots developed by the authors, in the setting of an in-vitro model of mechanical thrombectomy. Methods: Synthetic clots based on agarose (n=12) and silicone (n=11) were evaluated in a previously described in-vitro neurointervention simulation of mechanical thrombectomy with clot extraction devices. 9 clots were excluded due to insufficient vessel occlusion and failure to integrate with clot extraction device. Synthetic thrombi were characterized and compared using a categorical score-system on vessel occlusion, elasticity, fragmentation, adherence and device integration. Results: Both agarose-based and silicone-based clots demonstrated relevant flow arrest and a good integration with the clot extraction device. Silicone-based clots scored higher on adherence to the vessel wall and elasticity. Calcified clots of mixed nature were simulated with addition of 3D printed structures. Conclusion: Selected synthetic clots can successfully be implemented in an in-vitro training environment of mechanical thrombectomy. The clots' different properties might serve to mimicAbstract : Introduction: The increased demand for training of mechanical thrombectomy in ischemic stroke urges the creation of new simulation models for training and device assessment. Clot characterization has shown to play a role in procedural planning and thrombectomy device effectiveness. Aim of the Study: In this study, we aim to analyze the characteristics and applicability of completely synthetic, animal-free clots developed by the authors, in the setting of an in-vitro model of mechanical thrombectomy. Methods: Synthetic clots based on agarose (n=12) and silicone (n=11) were evaluated in a previously described in-vitro neurointervention simulation of mechanical thrombectomy with clot extraction devices. 9 clots were excluded due to insufficient vessel occlusion and failure to integrate with clot extraction device. Synthetic thrombi were characterized and compared using a categorical score-system on vessel occlusion, elasticity, fragmentation, adherence and device integration. Results: Both agarose-based and silicone-based clots demonstrated relevant flow arrest and a good integration with the clot extraction device. Silicone-based clots scored higher on adherence to the vessel wall and elasticity. Calcified clots of mixed nature were simulated with addition of 3D printed structures. Conclusion: Selected synthetic clots can successfully be implemented in an in-vitro training environment of mechanical thrombectomy. The clots' different properties might serve to mimic fibrin-rich and red blood cell human thrombi. References: Nadine Wortmann, Thomas Andersek, Helena Guerreiro, et al . Development of Synthetic Thrombus Models to Simulate Stroke Treatment in a Physical Neurointerventional Training Model, All Life 2022;15:1, 283–301, DOI:10.1080/26895293.2022.2046181 Spallek J, Kuhl J, Wortmann N, et al . Design for Mass Adaptation of the Neurointerventional Training Model Hannes with Patient-specific Aneurysm Models. Proceedings of the Design Society: International Conference on Engineering Design . 2019;1 (1):897–906. DOI:10.1017/DSI.2019.94 Do you have any conflict of interest to declare? : No … (more)
- Is Part Of:
- Journal of neurointerventional surgery. Volume 14(2022)Supplement 2
- Journal:
- Journal of neurointerventional surgery
- Issue:
- Volume 14(2022)Supplement 2
- Issue Display:
- Volume 14, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 14
- Issue:
- 2
- Issue Sort Value:
- 2022-0014-0002-0000
- Page Start:
- A41
- Page End:
- A41
- Publication Date:
- 2022-08-29
- Subjects:
- Nervous system -- Surgery -- Periodicals
Cerebrovascular disease -- Surgery -- Periodicals
617.48 - Journal URLs:
- http://www.bmj.com/archive ↗
http://jnis.bmj.com/ ↗ - DOI:
- 10.1136/neurintsurg-2022-ESMINT.101 ↗
- Languages:
- English
- ISSNs:
- 1759-8478
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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