Modeling intracranial aneurysm stability and growth: an integrative mechanobiological framework for clinical cases
Biomechanics and Modeling in Mechanobiology, ISSN: 1617-7940, Vol: 19, Issue: 6, Page: 2413-2431
2020
- 11Citations
- 44Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations11
- Citation Indexes11
- 11
- Captures44
- Readers44
- 44
Article Description
We present a novel patient-specific fluid-solid-growth framework to model the mechanobiological state of clinically detected intracranial aneurysms (IAs) and their evolution. The artery and IA sac are modeled as thick-walled, non-linear elastic fiber-reinforced composites. We represent the undulation distribution of collagen fibers: the adventitia of the healthy artery is modeled as a protective sheath whereas the aneurysm sac is modeled to bear load within physiological range of pressures. Initially, we assume the detected IA is stable and then consider two flow-related mechanisms to drive enlargement: (1) low wall shear stress; (2) dysfunctional endothelium which is associated with regions of high oscillatory flow. Localized collagen degradation and remodelling gives rise to formation of secondary blebs on the aneurysm dome. Restabilization of blebs is achieved by remodelling of the homeostatic collagen fiber stretch distribution. This integrative mechanobiological modelling workflow provides a step towards a personalized risk-assessment and treatment of clinically detected IAs.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85086440135&origin=inward; http://dx.doi.org/10.1007/s10237-020-01351-2; http://www.ncbi.nlm.nih.gov/pubmed/32533497; https://link.springer.com/10.1007/s10237-020-01351-2; https://dx.doi.org/10.1007/s10237-020-01351-2; https://link.springer.com/article/10.1007/s10237-020-01351-2
Springer Science and Business Media LLC
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