Evaluating the Influence of Hemorheological Parameters on Circulating Tumor Cell Trajectory and Simulation Time

Sayan Roychowdhury, John Gounley, Amanda Randles

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Extravasation of circulating tumor cells (CTCs) occurs primarily in the microvasculature, where flow and cell interactions significantly affect the blood rheology. Capturing cell trajectory at this scale requires the coupling of several interaction models, leading to increased computational cost that scales as more cells are added or the domain size is increased. In this work, we focus on micro-scale vessels and study the influence of certain hemorheological factors, including the presence of red blood cell aggregation, hematocrit level, microvessel size, and shear rate, on the trajectory of a circulating tumor cell. We determine which of the aforementioned factors significantly affect CTC motion and identify those which can potentially be disregarded, thus reducing simulation time. We measure the effect of these elements by studying the radial CTC movement and runtime at various combinations of these hemorheological parameters. To accurately capture blood flow dynamics and single cell movement, we perform high-fidelity hemodynamic simulations at a sub-micron resolution using our in-house fluid dynamics solver, HARVEY. We find that increasing hematocrit increases the likelihood of tumor cell margination, which is exacerbated by the presence of red blood cell aggregation. As microvessel diameter increases, there is no major CTC movement towards the wall; however, including aggregation causes the CTC to marginate quicker as the vessel size increases. Finally, as the shear rate is increased, the presence of aggregation has a diminished effect on tumor cell margination.

Original languageEnglish
Title of host publicationProceedings of the Platform for Advanced Scientific Computing Conference, PASC 2020
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450379939
DOIs
StatePublished - Jun 29 2020
Event7th Annual Platform for Advanced Scientific Computing Conference, PASC 2020 - Geneva, Switzerland
Duration: Jun 29 2020Jul 1 2020

Publication series

NameProceedings of the Platform for Advanced Scientific Computing Conference, PASC 2020

Conference

Conference7th Annual Platform for Advanced Scientific Computing Conference, PASC 2020
Country/TerritorySwitzerland
CityGeneva
Period06/29/2007/1/20

Keywords

  • Cell tracking
  • Immersed boundary
  • Lattice Boltzmann
  • Microvasculature
  • Red blood cell aggregation

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