Identification of C38 colon adenocarcinoma growth under bevacizumab therapy and without therapy

Johanna Sapi, Daniel Andras Drexler, Z. Sápi, L. Kovács

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

5 Citations (Scopus)

Abstract

Model identification allows to design different control strategies for antiangiogenic cancer therapy, and create model-based treatment protocols. These model-based protocols can be more effective than the current ones, since they provide individual treatment for the patients. The aim of this paper is to investigate C38 colon adenocarcinoma growth in three different cases: (1) tumor growth without therapy, (2) tumor growth with one Avastin dose for a 18-day therapy (10 mg/kg), (3) tumor growth with one-tenth dose of control Avastin dose spread over 18 days. Parametric model identification was carried out for these three cases and the relationship between the measured tumor attributes (volume, mass and vascularization) was analyzed. Effect of low-dose therapy was also examined.

Original languageEnglish
Title of host publicationCINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages443-448
Number of pages6
ISBN (Electronic)9781479953387
DOIs
Publication statusPublished - Jan 30 2014
Event15th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2014 - Budapest, Hungary
Duration: Nov 19 2014Nov 21 2014

Other

Other15th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2014
CountryHungary
CityBudapest
Period11/19/1411/21/14

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Tumors
Identification (control systems)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems

Cite this

Sapi, J., Drexler, D. A., Sápi, Z., & Kovács, L. (2014). Identification of C38 colon adenocarcinoma growth under bevacizumab therapy and without therapy. In CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings (pp. 443-448). [7028716] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CINTI.2014.7028716

Identification of C38 colon adenocarcinoma growth under bevacizumab therapy and without therapy. / Sapi, Johanna; Drexler, Daniel Andras; Sápi, Z.; Kovács, L.

CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 443-448 7028716.

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

Sapi, J, Drexler, DA, Sápi, Z & Kovács, L 2014, Identification of C38 colon adenocarcinoma growth under bevacizumab therapy and without therapy. in CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings., 7028716, Institute of Electrical and Electronics Engineers Inc., pp. 443-448, 15th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2014, Budapest, Hungary, 11/19/14. https://doi.org/10.1109/CINTI.2014.7028716
Sapi J, Drexler DA, Sápi Z, Kovács L. Identification of C38 colon adenocarcinoma growth under bevacizumab therapy and without therapy. In CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 443-448. 7028716 https://doi.org/10.1109/CINTI.2014.7028716
Sapi, Johanna ; Drexler, Daniel Andras ; Sápi, Z. ; Kovács, L. / Identification of C38 colon adenocarcinoma growth under bevacizumab therapy and without therapy. CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 443-448
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