Literature DB >> 6187746

Aspects of modelling and simulating tumor growth and treatment.

W Düchting, T Vogelsaenger.   

Abstract

The proliferation of malignant cells and tumor growth can be studied at various levels and from different viewpoints in the field of tumor biology and oncology. The aim of this paper is to outline how control theory and computer science can pave the way to new approaches to interpreting tumor growth and treatment. The present development is based on the hypothesis that the proliferation of malignant cells may be simulated by an unstable closed-loop control circuit. This type of model only describes the number of cells as a function of time. Therefore, an extended model permitting the study of the spatial structure of tumor growth is chosen. This approach leads to three-dimensional models simulating tumor growth in a vascularized tissue segment and opens the possibility of determining optimized chemotherapeutic tumor-treatment schedules. In the future it may become possible to perform computer simulations of different kinds of tumor treatment prior to clinical therapy.

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Year:  1983        PMID: 6187746     DOI: 10.1007/bf00391824

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  5 in total

1.  Computer simulation of abnormal erythropoiesis--an example of cell removal regulating systems.

Authors:  W Düchting
Journal:  Biomed Tech (Berl)       Date:  1976-03       Impact factor: 1.411

2.  Protamine is an inhibitor of angiogenesis.

Authors:  S Taylor; J Folkman
Journal:  Nature       Date:  1982-05-27       Impact factor: 49.962

3.  [Cell proliferation in normal and malignant tissues: H3-thymidine incorporation in vitro under standard conditions].

Authors:  M F Rajewsky
Journal:  Biophysik       Date:  1966

4.  Three-dimensional pattern generation applied to spheroidal tumor growth in a nutrient medium.

Authors:  W Düchting; T Vogelsaenger
Journal:  Int J Biomed Comput       Date:  1981-09

5.  Self-regulation of growth in three dimensions.

Authors:  J Folkman; M Hochberg
Journal:  J Exp Med       Date:  1973-10-01       Impact factor: 14.307

  5 in total
  4 in total

Review 1.  At the biological modeling and simulation frontier.

Authors:  C Anthony Hunt; Glen E P Ropella; Tai Ning Lam; Jonathan Tang; Sean H J Kim; Jesse A Engelberg; Shahab Sheikh-Bahaei
Journal:  Pharm Res       Date:  2009-09-09       Impact factor: 4.200

2.  [Medicine and technique: computer simulations in cancer research].

Authors:  W Düchting
Journal:  Med Klin (Munich)       Date:  1998-09-15

3.  Analysis, forecasting, and control of three-dimensional tumor growth and treatment.

Authors:  W Düchting; T Vogelsaenger
Journal:  J Med Syst       Date:  1984-10       Impact factor: 4.460

4.  Prescheduling graphic displays for optimal cancer therapies to reveal possible tumor regression or stabilization.

Authors:  B S Thornton; T N Langtry
Journal:  J Med Syst       Date:  1988-02       Impact factor: 4.460

  4 in total

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