Biologically-equivalent dose and long-term survival time in radiation treatments Journal Article


Authors: Zaider, M.; Hanin, L.
Article Title: Biologically-equivalent dose and long-term survival time in radiation treatments
Abstract: Within the linear-quadratic model the biologically-effective dose (BED) - taken to represent treatments with an equal tumor control probability (TCP) - is commonly (and plausibly) calculated according to BED(D) = -log[S(D)]/α. We ask whether in the presence of cellular proliferation this claim is justified and examine, as a related question, the extent to which BED approximates an isoeffective dose (IED) defined, more sensibly, in terms of an equal long-term survival probability, rather than TCP. We derive, under the assumption that cellular birth and death rates are time homogeneous, exact equations for the isoeffective dose, IED. As well, we give a rigorous definition of effective long-term survival time, Teff. By using several sets of radiobiological parameters, we illustrate potential differences between BED and IED on the one hand and, on the other, between Teff calculated as suggested here or by an earlier recipe. In summary: (a) the equations currently in use for calculating the effective treatment time may underestimate the isoeffective dose and should be avoided. The same is the case for the tumor control probability (TCP), only more so; (b) for permanent implants BED may be a poor substitute for IED; (c) for a fractionated treatment schedule, interpreting the observed probability of cure in terms of a TCP formalism that refers to the end of the treatment (rather than Teff) may result in a miscalculation (underestimation) of the initial number of clonogens. © 2007 IOP Publishing Ltd.
Keywords: cancer survival; survival rate; cancer radiotherapy; radiation dose; neoplasms; cell proliferation; cell death; cell survival; models, biological; radiotherapy; cancer mortality; dose-response relationship, radiation; survival time; tumors; probability; cell count; computer simulation; relative biological effectiveness; cancer control; drug therapy; biomedical engineering; clonogenesis; parameter estimation; cellular proliferation; death rates; linear-quadratic model; tumor control probability (tcp)
Journal Title: Physics in Medicine and Biology
Volume: 52
Issue: 20
ISSN: 0031-9155
Publisher: IOP Publishing Ltd  
Date Published: 2007-10-21
Start Page: 6355
End Page: 6362
Language: English
DOI: 10.1088/0031-9155/52/20/017
PUBMED: 17921589
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 11" - "Export Date: 17 November 2011" - "CODEN: PHMBA" - "Source: Scopus"
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  1. Marco Zaider
    171 Zaider