| Literature DB >> 31822220 |
I Budia1, A Alvarez-Arenas1, T E Woolley2, G F Calvo1, J Belmonte-Beitia1.
Abstract
We optimize radiotherapy (RT) administration strategies for treating low-grade gliomas. Specifically, we consider different tumour growth laws, both with and without spatial effects. In each scenario, we find the optimal treatment in the sense of maximizing the overall survival time of a virtual low-grade glioma patient, whose tumour progresses according to the examined growth laws. We discover that an extreme protraction therapeutic strategy, which amounts to substantially extending the time interval between RT sessions, may lead to better tumour control. The clinical implications of our results are also presented.Entities:
Keywords: low-grade glioma; mathematical models; optimization problem; radiotherapy
Year: 2019 PMID: 31822220 PMCID: PMC6936034 DOI: 10.1098/rsif.2019.0665
Source DB: PubMed Journal: J R Soc Interface ISSN: 1742-5662 Impact factor: 4.118