Literature DB >> 7298237

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

W Düchting, T Vogelsaenger.   

Abstract

This paper is concerned with the three-dimensional simulation of tumor growth. For this purpose a cell cycle model of a tumor cell and rules for its multiplication have been developed. Then algorithms and program packages have been constructed describing the spatial and temporal tumor growth. There is a description of several case studies simulating the growth of a single tumor cell in a nutrient medium and a treatment by surgery, radiotherapy and chemotherapy. The simulation results correspond fairly well with the experimentally observed data. As a result it becomes possible to schedule an optimal treatment of tumor diseases by means of computer simulation.

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Year:  1981        PMID: 7298237     DOI: 10.1016/0020-7101(81)90050-7

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  8 in total

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

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

2.  Aspects of modelling and simulating tumor growth and treatment.

Authors:  W Düchting; T Vogelsaenger
Journal:  J Cancer Res Clin Oncol       Date:  1983       Impact factor: 4.553

Review 3.  Multicellular spheroids. A review on cellular aggregates in cancer research.

Authors:  W Mueller-Klieser
Journal:  J Cancer Res Clin Oncol       Date:  1987       Impact factor: 4.553

4.  Altered fractionation outcomes for hypoxic head and neck cancer using the HYP-RT Monte Carlo model.

Authors:  W M Harriss-Phillips; E Bezak; E K Yeoh
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

5.  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

6.  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

7.  The HYP-RT hypoxic tumour radiotherapy algorithm and accelerated repopulation dose per fraction study.

Authors:  W M Harriss-Phillips; E Bezak; E Yeoh
Journal:  Comput Math Methods Med       Date:  2012-06-19       Impact factor: 2.238

Review 8.  In silico modelling of treatment-induced tumour cell kill: developments and advances.

Authors:  Loredana G Marcu; Wendy M Harriss-Phillips
Journal:  Comput Math Methods Med       Date:  2012-07-12       Impact factor: 2.238

  8 in total

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