185
Views
3
CrossRef citations to date
0
Altmetric
Articles

A global sensitivity analysis approach applied to a multiscale model of microvascular flow

ORCID Icon, ORCID Icon, , , &
Pages 1215-1224 | Received 23 Dec 2019, Accepted 06 Jul 2020, Published online: 20 Jul 2020
 

Abstract

A global sensitivity analysis of a multiscale computational model of microvascular flow is presented. A total of 140 simulations have been completed and analyzed varying 6 input parameters and considering their effects on 7 output variables. Interestingly, the vascular network topology has been found as a determinant factor for both vasculature-related and interstitium-related quantities. Regarding the firsts, the vascular network topology has obtained a score of 5.5/6 and 6/6 for average and spatial distribution respectively (where 6 is the maximum and 1 is the minimum). On the other hand, considering interstitium-related quantities, the score is 4/6 and 5/6 for average and spatial distribution respectively. These results suggest that the network topology has a significant influence on the outcome of the computational analysis.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Acknowledgements

Authors thank Jordan Elliott for proofreading the manuscript.

Additional information

Funding

The work was partially funded by the Associazione Italiana Ricerca sul Cancro for the funding under the AIRC-IG n. 21479 (L.P.).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.