Skip to main content
Log in

Numerical simulation of blood flow and interstitial fluid pressure in solid tumor microcirculation based on tumor-induced angiogenesis

  • Research Paper
  • Published:
Acta Mechanica Sinica Aims and scope Submit manuscript

Abstract

A coupled intravascular–transvascular–interstitial fluid flow model is developed to study the distributions of blood flow and interstitial fluid pressure in solid tumor microcirculation based on a tumor-induced microvascular network. This is generated from a 2D nine-point discrete mathematical model of tumor angiogenesis and contains two parent vessels. Blood flow through the microvascular network and interstitial fluid flow in tumor tissues are performed by the extended Poiseuille’s law and Darcy’s law, respectively, transvascular flow is described by Starling’s law; effects of the vascular permeability and the interstitial hydraulic conductivity are also considered. The simulation results predict the heterogeneous blood supply, interstitial hypertension and low convection on the inside of the tumor, which are consistent with physiological observed facts. These results may provide beneficial information for anti-angiogenesis treatment of tumor and further clinical research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Baish J.W., Gazit Y., Berk D.A., Nozue M., Baxter L.T. and Jain R.K. (1996). Role of tumor vascular architecture in nutrient and drug delivery: an invasion percolation-based network model. Microvascular Res. 51: 327–346

    Article  Google Scholar 

  2. Jain R.K. (2001). Delivery of molecular and cellular medicine to solid tumors. Adv. Drug Delivery Rev. 46: 149–168

    Article  Google Scholar 

  3. Stokes C.L. and Lauffenburger D.A. (1991). Analysis of the roles of microvessel endothelial cell random motility and chemotaxis in angiogenesis. J. Theor. Biol. 152: 377–403

    Article  Google Scholar 

  4. Anderson A.R.A and Chaplain M.A.J. (1998). A mathematical model for capillary network formation in the absence of endothelial cell proliferation. Appl. Math. Lett. 11: 109–114

    Article  MATH  Google Scholar 

  5. Anderson A.R.A and Chaplain M.A.J. (1998). Continuous and discrete mathematical models of tumor-induced angiogenesis. Bull. Math. Biol. 60: 857–900

    Article  MATH  Google Scholar 

  6. McDougall S.R., Anderson A.R.A, Chaplain M.A.J. and Sherratt J.A. (2002). Mathematical modeling of flow through vascular network: implications for tumor-induced angiogenesis and chemotherapy strategies. Bull. Math. Biol. 64: 673–702

    Article  Google Scholar 

  7. Stephanou A., McDougall S.R., Anderson A.R.A. and Chaplain M.A.J. (2005). Mathematical modelling of flow in 2D and 3D vascular networks: applications to anti-angiogenic and chemotherapeutic drug strategies. Math. Comp. Model 41: 1137–1156

    Article  MATH  MathSciNet  Google Scholar 

  8. Stephanou A., McDougall S.R., Anderson A.R.A. and Chaplain M.A.J. (2006). Mathematical modelling of the influence of blood rheological properties upon adaptative tumour-induced angiogenesis. Math. Comp. Model 44: 96–123

    Article  MathSciNet  Google Scholar 

  9. Zheng X., Wise S.M. and Cristini V. (2005). Nonlinear simulation of tumor necrosis, neo-vascularization and tissue invasion via an adaptive finite-element/level-set method. Bull. Math. Biol. 67: 211–259

    Article  MathSciNet  Google Scholar 

  10. Wu J., Xu S.X., Zhao G.P., Collins M.W., Jiang Y.P. and Wang J. (2006). 3D numerical simulation of hemodynamics in solid tumor (in Chinese). J. Med. Biomech. 21: 8–13

    Google Scholar 

  11. Gao H., Xu S.X., Cai Y. and Collins M.W. (2006). Numerical simulation of tumor-induced angiogenesis in and out of tumor incorporating mechanical effects (in Chinese). J. Med. Biomech. 21: 1–7

    Google Scholar 

  12. Kuszyk B.S., Corl F.M., Franano F.N., Bluemke D.A., Hofmann L.V., Fortman B.J. and Fishman E.K. (2001). Tumor transport physiology: Implications for imaging and imaging-guided therapy. Am. J. of Radiol. 177: 747–753

    Google Scholar 

  13. Netti P.A., Baxter L.T., Boucher Y., Skalak R. and Jain R.K. (1997). Macro- and microscopic fluid transport in living tissues: Application to solid tumors. AICHE J. 43: 817–834

    Article  Google Scholar 

  14. Netti P.A., Roberge S., Boucher Y., Baxter L.T. and Jain R.K. (1996). Effect of transvascular fluid exchange on pressure–flow relationship in tumors: a proposed mechanism for tumor blood flow heterogeneity. Microvascular Res. 52: 27–46

    Article  Google Scholar 

  15. Baxter L.T. and Jain R.K. (1989). Transport of fluid and macromolecules in tumors I. Role of interstitial pressure and convection. Microvascular Res. 37: 77–104

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shixiong Xu.

Additional information

The project supported by the National Natural Science Foundation of China (10372026).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhao, G., Wu, J., Xu, S. et al. Numerical simulation of blood flow and interstitial fluid pressure in solid tumor microcirculation based on tumor-induced angiogenesis. Acta Mech Sin 23, 477–483 (2007). https://doi.org/10.1007/s10409-007-0098-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10409-007-0098-x

Keywords

Navigation