A minimal model of tumor growth with angiogenic inhibition using bevacizumab

Dániel András Drexler, Johanna Sápi, L. Kovács

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

Modeling the tumor growth under angiogenic inhibition is an important step towards designing tumor treatment therapies based on mathematical tools. Our goal is to create a model for tumor growth that describes the underlying physiological processes adequately while being as simple as possible. We propose a second-order model containing linear terms and one bilinear term modeling the dynamics of tumor volume and inhibitor level, and work out the parametric identification process for the model. The parametric identification of the model is done using measurements from experiments on C57Bl/6 mice with C38 colon adenocarcinoma treated with bevacizumab. The control group of the mice received one injection at the beginning of the experiment, these measurement data are used for parametric identification, while the case group of mice received injection at each day of the treatment, these measurements are used to validate the model. The validation showed that the proposed model is capable of describing the tumor growth dynamics.

Original languageEnglish
Title of host publicationSAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-190
Number of pages6
ISBN (Electronic)9781509056545
DOIs
Publication statusPublished - Mar 16 2017
Event15th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2017 - Herl'any, Slovakia
Duration: Jan 26 2017Jan 28 2017

Other

Other15th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2017
CountrySlovakia
CityHerl'any
Period1/26/171/28/17

Keywords

  • Angiogenic inhibition
  • Bevacizumab
  • Minimal model
  • Tumor growth model

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Artificial Intelligence
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'A minimal model of tumor growth with angiogenic inhibition using bevacizumab'. Together they form a unique fingerprint.

  • Cite this

    Drexler, D. A., Sápi, J., & Kovács, L. (2017). A minimal model of tumor growth with angiogenic inhibition using bevacizumab. In SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings (pp. 185-190). [7880300] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAMI.2017.7880300