Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment

David Csercsik, Johanna Sapi, L. Kovács

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

1 Citation (Scopus)

Abstract

Targeted molecular therapies opened new ways and increased the efficiency of cancer therapies. Antiangiogenic therapy focuses against the growth of tumor by blocking the blood vessel formation of it. Its control engineering perspective has been presented several times, but its key point represents modeling the tumor growth. The purpose of our research is to go beyond the already published minimalistic approach and set up a bi-compartmental (vasculature-dependent tumor growth and angiogenesis) model. The aim of the current paper is to extend our recently published dynamical bicompartmetal model to include the effect of not only for antiangiogenic, but also cytotoxic drugs as well as input. We compare the effect of the two different inputs on the model dynamics in the context of final tumor volume, which can be used as a measure of therapy effectiveness. According to the model prediction, the combination of drugs is more efficient compared to either mono-therapy. Furthermore, we compare an optimized open-loop protocol with a very simple intuitive feedback therapy solution.

Original languageEnglish
Title of host publication2018 IEEE Conference on Control Technology and Applications, CCTA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1383-1388
Number of pages6
ISBN (Electronic)9781538676981
DOIs
Publication statusPublished - Oct 26 2018
Event2nd IEEE Conference on Control Technology and Applications, CCTA 2018 - Copenhagen, Denmark
Duration: Aug 21 2018Aug 24 2018

Other

Other2nd IEEE Conference on Control Technology and Applications, CCTA 2018
CountryDenmark
CityCopenhagen
Period8/21/188/24/18

Fingerprint

Closed-loop
Therapy
Tumors
Tumor
Model-based
Simulation
Tumor Growth
Drugs
Blood vessels
Angiogenesis
Dynamic models
Blood Vessels
Dynamical Model
Feedback
Prediction Model
Intuitive
Cancer
Engineering
Dependent
Modeling

ASJC Scopus subject areas

  • Aerospace Engineering
  • Control and Optimization
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Csercsik, D., Sapi, J., & Kovács, L. (2018). Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment. In 2018 IEEE Conference on Control Technology and Applications, CCTA 2018 (pp. 1383-1388). [8511526] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCTA.2018.8511526

Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment. / Csercsik, David; Sapi, Johanna; Kovács, L.

2018 IEEE Conference on Control Technology and Applications, CCTA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1383-1388 8511526.

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

Csercsik, D, Sapi, J & Kovács, L 2018, Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment. in 2018 IEEE Conference on Control Technology and Applications, CCTA 2018., 8511526, Institute of Electrical and Electronics Engineers Inc., pp. 1383-1388, 2nd IEEE Conference on Control Technology and Applications, CCTA 2018, Copenhagen, Denmark, 8/21/18. https://doi.org/10.1109/CCTA.2018.8511526
Csercsik D, Sapi J, Kovács L. Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment. In 2018 IEEE Conference on Control Technology and Applications, CCTA 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1383-1388. 8511526 https://doi.org/10.1109/CCTA.2018.8511526
Csercsik, David ; Sapi, Johanna ; Kovács, L. / Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment. 2018 IEEE Conference on Control Technology and Applications, CCTA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1383-1388
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