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| Main Authors: | , , , , |
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| Formato: | Recurso digital |
| Idioma: | |
| Publicado em: |
Zenodo
2025
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| Assuntos: | |
| Acesso em linha: | https://doi.org/10.5281/zenodo.15210496 |
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Sumário:
- <div> <div>The role of homeostasis-driven growth and remodeling (G&R) in vascular adaptation to pathological biomechanical environments remains largely unexplored. This study extends our previous work by refining a computational workflow that integrates homeostasis-driven G&R into patient-specific carotid geometries. Key advancements include adopting a total Lagrangian framework to handle complex geometries, introducing novel post-processing metrics for improved comparisons, and conducting statistical analyses to assess G&R’s impact on biomechanical evaluations of atherosclerotic vessels. These improvements enabled the analysis of a cohort of 18 cases, incorporating patient-specific geometries and pathological tissue distributions reconstructed from clinical imaging data. Results suggest that G&R generally reduces peak stress, though its effectiveness depends on plaque morphology and tissue composition. High calcification leads to localized stress concentrations, limiting remodeling, whereas matrix-rich regions promote stress homogenization. At the cohort level, findings underscore the need for patient-specific analyses in plaque risk evaluation, reinforcing the importance of personalized biomechanical modeling in assessing atherosclerotic disease and guiding clinical decision-making.</div> </div>