Stochastic modelling of the role of cisplatin in altered fractionation schedules for head and neck cancer

Abstract 

Advanced head and neck cancers are one of the most challenging cancers facing the oncologists due to their aggressiveness attributable to the high hypoxic content and the tumour's ability to repopulate during radiotherapy. Alterations of radiotherapy fractionation schedules are possible ways to improve tumour control. Clinical trials have shown that both hyperfractionated radiotherapy (multiple fractions a day, over the same treatment time), and accelerated radiotherapy (higher doses per fraction, six days a week, over 5 weeks or less) are more effective than conventional radiotherapy in the management of head and neck cancer. However, the treatment choice between hyperfractionated and accelerated radiotherapy is still debated, due to very similar results obtained regarding tumour control. Furthermore, while radiotherapy alone has an impact on the short-term prognosis of advanced head and neck cancer, the long-term benefits have been moderate. Cisplatin is a chemotherapeutic agent which combined with conventional radiotherapy has shown to improve patient survival. The present paper employs a Monte Carlo modelling approach in assessing the effect of combined cisplatin-altered fractionation schedule on tumour response. The growth of a head and neck carcinoma has been modelled using probabilistic functions sampled by computer generated random number sequences, maintaining the biological constitution of a tumour. The tumour growth model has been built to simulate the in vivo processes taking place before and after radiotherapy/chemotherapy. The model has shown that adding cisplatin to radiotherapy improves tumour control in both hyperfractionated and accelerated radiotherapy.

Keywords: Monte Carlo, Modelling, Altered fractionation, Chemotherapy