Radiobiological parameters in a tumour control probability model for prostate cancer LDR brachytherapy

Show simple item record Her EJ en Reynolds HM en Mears C en Williams S en Moorehouse C en Millar JL en Ebert MA en Haworth A en 2020-10-19T23:03:17Z 2020-10-19T23:03:17Z 2018 en
dc.identifier.citation Physics in Medicine and Biology 63(13):12 pages Article number 135011 2018
dc.description.abstract To provide recommendations for the selection of radiobiological parameters for prostate cancer treatment planning. Recommendations were based on validation of the previously published values, parameter estimation and a consideration of their sensitivity within a tumour control probability (TCP) model using clinical outcomes data from low-dose-rate (LDR) brachytherapy. The proposed TCP model incorporated radiosensitivity (α) heterogeneity and a non-uniform distribution of clonogens. The clinical outcomes data included 849 prostate cancer patients treated with LDR brachytherapy at four Australian centres between 1995 and 2012. Phoenix definition of biochemical failure was used. Validation of the published values from four selected literature and parameter estimation was performed with a maximum likelihood estimation method. Each parameter was varied to evaluate the change in calculated TCP to quantify the sensitivity of the model to its radiobiological parameters. Using a previously published parameter set and a total clonogen number of 196 000 provided TCP estimates that best described the patient cohort. Fitting of all parameters with a maximum likelihood estimation was not possible. Variations in prostate TCP ranged from 0.004% to 0.67% per 1% change in each parameter. The largest variation was caused by the log-normal distribution parameters for α (mean, , and standard deviation, σ α ). Based on the results using the clinical cohort data, we recommend a previously published dataset is used for future application of the TCP model with inclusion of a patient-specific, non-uniform clonogen density distribution which could be derived from multiparametric imaging. The reduction in uncertainties in these parameters will improve the confidence in using biological models for clinical radiotherapy planning.
dc.publisher IOP Publishing en
dc.relation.ispartofseries Physics in Medicine & Biology en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.title Radiobiological parameters in a tumour control probability model for prostate cancer LDR brachytherapy en
dc.type Journal Article en
pubs.begin-page 135011 en
pubs.volume 63 en 2020-09-24T21:53:45Z en
dc.rights.holder Copyright: The author en
pubs.end-page 135011 en
dc.rights.accessrights en
pubs.subtype article en
pubs.elements-id 789346 en
pubs.number 13 en

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