<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=184692"><dc:title>Modeling thixotropic hydrogel carriers to limit healthy-tissue exposure via localized drug retention in chemotherapy</dc:title><dc:creator>Brojan,	Miha	(Avtor)
	</dc:creator><dc:creator>Komic,	Jacopo	(Avtor)
	</dc:creator><dc:creator>Istenič,	Enej	(Avtor)
	</dc:creator><dc:subject>coupled multiphysics model</dc:subject><dc:subject>thixotropy</dc:subject><dc:subject>Biot poroelastic medium</dc:subject><dc:subject>Darcy’s law</dc:subject><dc:subject>advection - diffusion</dc:subject><dc:subject>spherical symmetry</dc:subject><dc:subject>hydroxypropyl methylcellulose</dc:subject><dc:subject>HPMC</dc:subject><dc:subject>methotrexate</dc:subject><dc:subject>MTX</dc:subject><dc:description>In this work, we develop a coupled multiphysics model that integrates polymer carriers exhibiting time-dependent thixotropic structural recovery with Darcy flow, linear Biot poroelasticity and advection–diffusion transport in a spherically symmetric, isotropic and homogeneous tissue domain. The formulation explicitly links rheological evolution to pressure-driven flow, interstitial deformation and solute transport through a unified framework, enabling systematic prediction of post-injection behavior. Unlike conventional approaches that assume constant carrier properties, the present model incorporates a time-dependent viscosity evolution, capturing the transition from an initially shear-thinned state to a recovered, highly viscous structure. Numerical simulations using hydroxypropyl methylcellulose and methotrexate parameters as representative components demonstrate that rapid post-injection viscosity recovery suppresses pressure-driven transport and diffusion, thereby enhancing local drug retention near the injection site. A systematic sensitivity analysis identifies the equilibrium viscosity as the dominant parameter controlling spatial localization, whereas tissue mechanical properties exert a comparatively minor influence. An effectiveness metric based on the Kullback–Leibler divergence reveals a tumor-size-dependent trade-off between spatial coverage and retention. The proposed framework thus introduces a predictive tool for analyzing coupled rheological-transport interactions and for the rational design and optimization of thixotropy-enhanced local chemotherapy strategies.</dc:description><dc:date>2026</dc:date><dc:date>2026-07-13 09:21:56</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>184692</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
