Skip to main content

Computer Simulation in Cancer Research

  • Conference paper
Advanced Simulation in Biomedicine

Part of the book series: Advances in Simulation ((ADVS.SIMULATION,volume 3))

Abstract

Already in old Egypt tumor diseases were well known. Since that time we have learned that cancer (neoplasm, tumor) is a disorder of cells and that its development is a multistep process. At least three different stages have been defined: Initiation, promotion and progression.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Franks, L.M. and Teich, N. (eds.), Introduction of the Cellular and Molecular Biology of Cancer, Oxford university Press, Oxford 1986.

    Google Scholar 

  2. Weiss, L., Principles of Metastasis, Academic Press, Orlando 1985.

    Google Scholar 

  3. Baserga, R., The Biology of Cell Reproduction, Harvard University Press, Cambridge/Mass. 1985.

    Google Scholar 

  4. Folkman, J., How Is Blood Vessel Growth Regulated in Normal and Neoplastic Tissue?, Cancer Research, Vol. 46 (1986): 467–473.

    Google Scholar 

  5. Jäger, W., Rost, H. and Tautu, P. (eds.), Biological Growth and Spread, Springer-Verlag, Berlin 1980.

    MATH  Google Scholar 

  6. Wichmann, H.-E. and Loeffler, M., Mathematical Modeling of Cell Proliferation, CRC Press, Boca Raton / Florida 1985.

    Google Scholar 

  7. Eisenfeld, J. and DeLisi, C. (eds.), Mathematics and Computers in Biomedical Applications, North-Holland, Amsterdam 1985.

    MATH  Google Scholar 

  8. Segel, L., Modeling Dynamic Phenomena in Molecular and Cellular Biology, Cambridge university Press, Cambridge 1984.

    MATH  Google Scholar 

  9. Wolfram, St., Cellular Automata as Models of Complexity, Nature, Vol. 311, No. 5985 (1984): 419–424.

    Article  Google Scholar 

  10. Meinhard, H., Models of Biological Pattern Formation, Academic Press, London 1982.

    Google Scholar 

  11. Swan, G.W., Applications of Optimal Control Theory in Biomedicine, Marcel Dekker Inc., New York 1984.

    MATH  Google Scholar 

  12. Möller, D., Popovic, D. and Thiele, G., Modeling, Simulation and Parameter-Estimation of the Human Cardiovascular System, Friedr. Vieweg & Sohn, Braunschweig/Wiesbaden 1983.

    Google Scholar 

  13. Düchting, W., Krebs, ein instabiler Regelkreis, Versuch einer Systemanalyse, Kybernetik, 5. Band, 2. Heft (1968): 70–77.

    Google Scholar 

  14. Düchting, W. and Dehl, G., Spatial Structure of Tumor Growth: A Simulation Study, IEEE Transactions on Systems, Man and Cybernetics SMC-10, No. 6(1980): 292–296.

    Article  Google Scholar 

  15. Mueller-Klieser, W., Multicellular-Spheroids, J. Cancer Res. Clin. Oncol. 113 (1987): 101–122.

    Article  Google Scholar 

  16. Düchting, W. and Vogelsaenger, Th., Three-Dimensional Pattern Generation applied to Spheroidal Tumor Growth in a Nutrient Medium, Int. J. Bio-Medical Computing 12(1981): 377–392.

    Article  Google Scholar 

  17. Düchting, W. and Vogelsaenger, Th., Aspects of Modelling and Simulating Tumor Growth and Treatment, J. Cancer Res. Clin. Oncol. 105(1983): 1–12.

    Article  Google Scholar 

  18. Vogelsaenger, Th., Modellbildung und Simulation von Regelungsmechanismen wachsender Blutgefäßstrukturen in normalen Geweben und malignen Tumoren, Dissertation Siegen, 1986.

    Google Scholar 

  19. Bär, Th., Patterns of vascularization in the developing cerebral-cortex, CIBA Found. Symp. 100(1983): 20–36.

    Google Scholar 

  20. Carlsson, J., Tumor models in vitro: A study of proliferation and growth in cellular spheroids, Acta Univ Upsal 466, 1978.

    Google Scholar 

  21. Düchting, W., Simulation of 3-D Tumor Growth and Radiation Therapy in “Proceedings of the International Symposium Computer Assisted Radiology” edited by H.U. Lemke, M.L. Rhodes, C.C. Jaffee and R. Felix, Springer-Verlag, Berlin 1987: 335–339.

    Google Scholar 

  22. Greinacher, C.F.C., Luetke, B. and Seufert, G., Digital Image Information Systems in Radiology, Siemens Forsch.-u. Entwickl.-Ber. Bd. 16, Nr. 1 (1987): 22–29.

    Google Scholar 

  23. Höhne, K.H., Riemer, M. and Tiède, U., Viewing Operations for 3-D-Tomographic Gray Level Data in “Proceedings of the International Symposium Computer Assisted Radiology” edited by H.U. Lemke, M.L. Rhodes, C.C. Jaffee and R. Felix, Springer-Verlag, Berlin 1987: 599–609.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer Science+Business Media New York

About this paper

Cite this paper

Düchting, W. (1990). Computer Simulation in Cancer Research. In: Möller, D.P.F. (eds) Advanced Simulation in Biomedicine. Advances in Simulation, vol 3. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8614-6_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-8614-6_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97184-1

  • Online ISBN: 978-1-4419-8614-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics