Optimization and Scheduling for Chemotherapy Treatment to Control Tumour Growth

摘要

The main aim of cancer chemotherapy is to minimize the number of cancer cells after a number of fixed treatment cycles with minimum toxic side effects. Chemotherapy Scheduling increases the effectiveness of greater cell kill, decreases the chance of drug resistance and reduces any toxic side effects. Mathematical models for cancer chemotherapy are designed to predict the number of tumour cells and control the tumour growth during treatment. This requires an understanding of the system in absence of treatment and a description of the effects of the treatment. This paper presents an investigation into the development of a model for optimal chemotherapy scheduling to control tumour growth. We applied the integral, proportional and derivative (I-PD) controller based on Martin model of drug concentration to control the tumour growth and the drug toxicity by scheduling the drug dosages. The results of the different drug scheduling patterns in the present model offer better performance as compared to the existing models in implementing optimal chemotherapy treatment.