title: In silico modelling of treatment-induced tumour cell kill: developments and advances.
abstract: Mathematical and stochastic computer (in silico) models of tumour growth and treatment response of the past and current eras are presented, outlining the aims of the models, model methodology, the key parameters used to describe the tumour system, and treatment modality applied, as well as reported outcomes from simulations. Fractionated radiotherapy, chemotherapy, and combined therapies are reviewed, providing a comprehensive overview of the modelling literature for current modellers and radiobiologists to ignite the interest of other computational scientists and health professionals of the ever evolving and clinically relevant field of tumour modelling.
authors.affiliation: Department of Medical Physics, Royal Adelaide Hospital, North Terrace, Adelaide, SA 5000, Australia. loredana.marcu@health.sa.gov.au
authors.forename: Loredana G
authors.initials: LG
authors.lastname: Marcu
authors.forename: Wendy M
authors.initials: WM
authors.lastname: Harriss-Phillips
mesh_terms: D000465:Algorithms; D000818:Animals; D019540:Area Under Curve; D003131:Combined Modality Therapy / Q000379:methods; D003198:Computer Simulation; D019583:Dose Fractionation, Radiation; D004358:Drug Therapy / Q000379:methods; D006801:Humans; D000860:Hypoxia; D007700:Kinetics; D008962:Models, Theoretical; D009010:Monte Carlo Method; D009369:Neoplasms / Q000188:drug therapy* / Q000473:pathology* / Q000532:radiotherapy*; D013269:Stochastic Processes