title: Mathematical modelling of tumour volume dynamics in response to stereotactic ablative radiotherapy for non-small cell lung cancer.
abstract: This paper reports a modelling study of tumour volume dynamics in response to stereotactic ablative radiotherapy (SABR). The main objective was to develop a model that is adequate to describe tumour volume change measured during SABR, and at the same time is not excessively complex as lacking support from clinical data. To this end, various modelling options were explored, and a rigorous statistical method, the Akaike information criterion, was used to help determine a trade-off between model accuracy and complexity. The models were calibrated to the data from 11 non-small cell lung cancer patients treated with SABR. The results showed that it is feasible to model the tumour volume dynamics during SABR, opening up the potential for using such models in a clinical environment in the future.
authors.affiliation: Department of Chemical and Process Engineering, University of Surrey, Guildford, GU2 7XH, UK.
authors.forename: Imran
authors.initials: I
authors.lastname: Tariq
authors.forename: Laia
authors.initials: L
authors.lastname: Humbert-Vidan
authors.forename: Tao
authors.initials: T
authors.lastname: Chen
authors.forename: Christopher P
authors.initials: CP
authors.lastname: South
authors.forename: Veni
authors.initials: V
authors.lastname: Ezhil
authors.forename: Norman F
authors.initials: NF
authors.lastname: Kirkby
authors.forename: Rajesh
authors.initials: R
authors.lastname: Jena
authors.forename: Andrew
authors.initials: A
authors.lastname: Nisbet
mesh_terms: D000465:Algorithms; D002289:Carcinoma, Non-Small-Cell Lung / Q000473:pathology* / Q000532:radiotherapy; D006801:Humans; D016634:Radiosurgery / Q000379:methods*; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D047368:Tumor Burden / Q000528:radiation effects*