Effect of Fluid Friction on Interstitial Fluid Flow Coupled with Blood Flow through Solid Tumor Microvascular Network

A solid tumor is investigated as porous media for fluid flow simulation. Most of the studies use Darcy model for porous media. In Darcy model, the fluid friction is neglected and a few simplified assumptions are implemented. In this study, the effect of these assumptions is studied by considering Brinkman model. A multiscale mathematical method which calculates fluid flow to a solid tumor is used in this study to investigate how neglecting fluid friction affects the solid tumor simulation. The mathematical method involves processes such as blood flow through vessels and solute and fluid diffusion, convective transport in extracellular matrix, and extravasation from blood vessels. The sprouting angiogenesis model is used for generating capillary network and then fluid flow governing equations are implemented to calculate blood flow through the tumor-induced capillary network. Finally, the two models of porous media are used for modeling fluid flow in normal and tumor tissues in three different shapes of tumors. Simulations of interstitial fluid transport in a solid tumor demonstrate that the simplifications used in Darcy model affect the interstitial velocity and Brinkman model predicts a lower value for interstitial velocity than the values that Darcy model predicts.

[1]  Madjid Soltani,et al.  Interstitial Flow in Cancerous Tissue: Effect of Considering RemodeledCapillary Network , 2014 .

[2]  S. Heiland,et al.  Trimodal cancer treatment: beneficial effects of combined antiangiogenesis, radiation, and chemotherapy. , 2005, Cancer research.

[3]  M. Sefidgar Numerical Modeling of Drug Delivery in Solid Tumor Microvasculature , 2015 .

[4]  Jian Li,et al.  Three-dimensional simulation of IgG delivery to tumors , 1998 .

[5]  M. Chaplain,et al.  Continuous and discrete mathematical models of tumor-induced angiogenesis , 1998, Bulletin of mathematical biology.

[6]  R K Jain,et al.  Transport of fluid and macromolecules in tumors. II. Role of heterogeneous perfusion and lymphatics. , 1990, Microvascular research.

[7]  R K Jain,et al.  Transport of fluid and macromolecules in tumors. I. Role of interstitial pressure and convection. , 1989, Microvascular research.

[8]  Pu Chen,et al.  Numerical Modeling of Fluid Flow in Solid Tumors , 2011, PloS one.

[9]  Ricky T. Tong,et al.  Effect of vascular normalization by antiangiogenic therapy on interstitial hypertension, peritumor edema, and lymphatic metastasis: insights from a mathematical model. , 2007, Cancer research.

[10]  Pu Chen,et al.  Numerical Modeling of Interstitial Fluid Flow Coupled with Blood Flow through a Remodeled Solid Tumor Microvascular Network , 2013, PloS one.

[11]  A. Rahmim,et al.  Comprehensive modeling of the spatiotemporal distribution of PET tracer uptake in solid tumors based on the convection-diffusion-reaction equation , 2014, 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

[12]  Chi-Hwa Wang,et al.  Computer simulation of the delivery of etanidazole to brain tumor from PLGA wafers: comparison between linear and double burst release systems. , 2003, Biotechnology and bioengineering.

[13]  J. Folkman,et al.  Tumor growth and neovascularization: an experimental model using the rabbit cornea. , 1974, Journal of the National Cancer Institute.

[14]  G. Truskey,et al.  Transport phenomena in biological systems , 2004 .

[15]  K. Raahemifar,et al.  Effect of remodeled tumor-induced capillary network on interstitial flow in cancerous tissue , 2014, 2nd Middle East Conference on Biomedical Engineering.

[16]  W. Mark Saltzman,et al.  Drugs released from polymers: diffusion and elimination in brain tissue , 1991 .

[17]  M. Sefidgar,et al.  Numerical modeling of drug delivery in a dynamic solid tumor microvasculature. , 2015, Microvascular research.

[18]  R K Jain,et al.  Transport of fluid and macromolecules in tumors. III. Role of binding and metabolism. , 1991 .

[19]  E. Salathe,et al.  A mathematical analysis of fluid movement across capillary walls. , 1975, Microvascular research.

[20]  Pu Chen,et al.  Effect of tumor shape and size on drug delivery to solid tumors , 2012, Journal of biological engineering.

[21]  E. Rofstad,et al.  Assessment of the interstitial fluid pressure of tumors by dynamic contrast-enhanced magnetic resonance imaging with contrast agents of different molecular weights , 2013, Acta oncologica.

[22]  Kaamran Raahemifar,et al.  Effect of tumor shape, size, and tissue transport properties on drug delivery to solid tumors , 2014, Journal of biological engineering.

[23]  J. Folkman Tumor angiogenesis: therapeutic implications. , 1971, The New England journal of medicine.

[24]  Alexander R. A. Anderson,et al.  A Hybrid Discrete-Continuum Model of Tumour Induced Angiogenesis , 2012 .

[25]  Malisa Sarntinoranont,et al.  Effect of heterogeneous vasculature on interstitial transport within a solid tumor. , 2007, Microvascular research.

[26]  Y. Fung,et al.  Biomechanics: Mechanical Properties of Living Tissues , 1981 .

[27]  R. Auerbach,et al.  Tumor-induced neovascularization in the mouse eye. , 1982, Journal of the National Cancer Institute.

[28]  D. Kalyon,et al.  Twin Screw Extrusion Based Technologies Offer Novelty, Versatility,Reproducibility and Industrial Scalability for Fabrication of TissueEngineering Scaffolds , 2013 .

[29]  J. Li,et al.  The delivery of BCNU to brain tumors. , 1999, Journal of controlled release : official journal of the Controlled Release Society.