Bi-compartmental modelling of tumor and supporting vasculature growth dynamics for cancer treatment optimization purpose

David Csercsik, Johanna Sapi, Tamas Gonczy, L. Kovács

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

5 Citations (Scopus)

Abstract

We introduce a nonlinear bi-compartmental dynamic tumor cell and supporting vasculature volume growth model which takes into account nutrient and cell proliferation, necrosis and angiogenesis. Validation of the model requires measurement data on tumor volume during the therapy; for explicit identification of vasculature growth dynamic, in vivo measurement data on vasculature volume during the therapy are required as well. We show that the model can be used for the evaluation of drug dosage protocols.

Original languageEnglish
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4698-4702
Number of pages5
Volume2018-January
ISBN (Electronic)9781509028733
DOIs
Publication statusPublished - Jan 18 2018
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
Duration: Dec 12 2017Dec 15 2017

Other

Other56th IEEE Annual Conference on Decision and Control, CDC 2017
CountryAustralia
CityMelbourne
Period12/12/1712/15/17

Fingerprint

Oncology
Therapy
Tumors
Tumor
Cancer
Volume Growth
Angiogenesis
Necrosis
Cell Proliferation
Optimization
Drug dosage
Growth Model
Nutrients
Modeling
Drugs
Cell proliferation
Cell
Evaluation
Cells
Model

ASJC Scopus subject areas

  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Control and Optimization

Cite this

Csercsik, D., Sapi, J., Gonczy, T., & Kovács, L. (2018). Bi-compartmental modelling of tumor and supporting vasculature growth dynamics for cancer treatment optimization purpose. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 (Vol. 2018-January, pp. 4698-4702). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2017.8264353

Bi-compartmental modelling of tumor and supporting vasculature growth dynamics for cancer treatment optimization purpose. / Csercsik, David; Sapi, Johanna; Gonczy, Tamas; Kovács, L.

2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 4698-4702.

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

Csercsik, D, Sapi, J, Gonczy, T & Kovács, L 2018, Bi-compartmental modelling of tumor and supporting vasculature growth dynamics for cancer treatment optimization purpose. in 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 4698-4702, 56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, 12/12/17. https://doi.org/10.1109/CDC.2017.8264353
Csercsik D, Sapi J, Gonczy T, Kovács L. Bi-compartmental modelling of tumor and supporting vasculature growth dynamics for cancer treatment optimization purpose. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 4698-4702 https://doi.org/10.1109/CDC.2017.8264353
Csercsik, David ; Sapi, Johanna ; Gonczy, Tamas ; Kovács, L. / Bi-compartmental modelling of tumor and supporting vasculature growth dynamics for cancer treatment optimization purpose. 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 4698-4702
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