title: Radiobiological indices that consider volume: a review.
abstract: Understanding and predicting the impact of any radiotherapy treatment is critical if patients are to receive treatment with a high likelihood of eliminating the tumour and low likelihood of complications. One of the major contributing factors in determining these effects is the volume treated. This review assesses the current use and accuracy of a series of models which consider volume, building on a previous review which investigated the impact of fractionation particularly with respect to the linear quadratic model. Volume is particularly important in assessing the overall effect with respect to destroying the clonogenic cells and preventing damage to the normal tissues. Dose volume histograms are one of the simplest and most useful forms of representing volume information, however it is difficult to correlate plans based only on DVHs. For this reason various reduction schemes have been introduced and tumour control probability and normal tissues complication probability models adjusted to use this information. Many of these models have proved quite useful in the clinic although they are limited by the available radiobiological data.
authors.affiliation: Department of Radiation Oncology, Liverpool Hospital, BC, NSW. Lois.Holloway@swsahs.nsw.gov.au
authors.forename: L
authors.initials: L
authors.lastname: Holloway
authors.forename: P
authors.initials: P
authors.lastname: Hoban
authors.forename: P
authors.initials: P
authors.lastname: Metcalfe
mesh_terms: D004307:Dose-Response Relationship, Radiation; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D009369:Neoplasms / Q000503:physiopathology* / Q000532:radiotherapy*; D011237:Predictive Value of Tests; D011853:Radiobiology / Q000379:methods*; D011878:Radiotherapy / Q000379:methods*; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods; D016896:Treatment Outcome