10.25394/PGS.11303480.v1
Nazanin Maani
Nazanin
Maani
CFD MODELING IN DESIGN AND EVALUATION OF AN ENDOVASCULAR CHEMOFILTER DEVICE
Purdue University Graduate School
2019
Medical device design
Computational fluid dynamics simulations
electrochemistry
Intra-arterial chemotherapy
Multiscale Model
Multiphysics Simulations
Biomedical Engineering not elsewhere classified
Computational Fluid Dynamics
2019-12-02 19:44:55
Thesis
https://hammer.purdue.edu/articles/thesis/CFD_MODELING_IN_DESIGN_AND_EVALUATION_OF_AN_ENDOVASCULAR_CHEMOFILTER_DEVICE/11303480
<p>Intra-Arterial Chemotherapy (IAC) is a preferred treatment
for the primary liver cancer, despite its adverse side-effects. During IAC, a
mixture of chemotherapeutic drugs, e.g. Doxorubicin, is injected into an artery
supplying the tumor. A fraction of Doxorubicin is absorbed by the tumor, but
the remaining drug passes into systemic circulation, causing irreversible heart
failure. The efficiency and safety of the IAC can be improved by chemical
filtration of the excessive drugs with a catheter-based Chemofilter device, as
proposed by a team of neuroradilogists. </p>
<p>The objective of my work was to optimize the hemodynamic and
drug binding performance of the Chemofilter device, using Computational Fluid
Dynamics (CFD) modeling. For
this, I investigated the performance of two distinct Chemofilter
configurations: 1) a porous “Chemofilter basket” formed by a lattice of
micro-cells and 2) a non-porous “honeycomb Chemofilter” consisting of parallel
hexagonal channels. A multiscale modeling approach was developed to resolve the
flow through a representative section of the porous membrane and
subsequently characterize the overall performance of the device. A heat and
mass transfer analogy was utilized to facilitate the comparison of alternative
honeycomb configurations. </p>
A multiphysics approach was
developed for modeling the electrochemical binding of Doxorubicin to the
anionic surface of the Chemofilter. An effective diffusion coefficient was
derived based on dilute and concentrated solution theory, to account for the
induced migration of ions. Computational predictions were supported by results
of <i>in-vivo</i> studies performed by
collaborators. CFD models showed that the honeycomb Chemofilter is
the most advantageous configuration with 66.8% drug elimination and 2.9 mm-Hg
pressure drop across the device. Another facet of the Chemofilter project was
its surface design with shark-skin inspired texturing, which improves the
binding performance by up to 3.5%. Computational modeling enables optimization
of the chemofiltration device, thus allowing the increase of drug dose while
reducing systemic toxicity of IAC.