Journal article
Finding the optimal statistical model to describe target motion during radiotherapy delivery - A Bayesian approach
A Herschtal, F Foroudi, PB Greer, TN Eade, BR Hindson, T Kron
Physics in Medicine and Biology | IOP PUBLISHING LTD | Published : 2012
Abstract
Early approaches to characterizing errors in target displacement during a fractionated course of radiotherapy assumed that the underlying fraction-to-fraction variability in target displacement, known as the treatment error or random error, could be regarded as constant across patients. More recent approaches have modelled target displacement allowing for differences in random error between patients. However, until recently it has not been feasible to compare the goodness of fit of alternate models of random error rigorously. This is because the large volumes of real patient data necessary to distinguish between alternative models have only very recently become available. This work uses real..
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Awarded by Australian Government National Health and Medical Research Council (NHMRC)
Funding Acknowledgements
The valuable advice and assistance of Dr Alec Stephenson, Swinburne University, in helping construct the candidate models and in providing R code for a Metropolis sampler is gratefully acknowledged. The valuable advice of Prof. Kerrie Mengersen, Queensland University of Technology, in Bayesian model design and presentation of results is gratefully acknowledged. The meticulous attention to detail of Daniel Pham and Chris Fox in auditing and cross-checking the Peter MacCallum displacement data is gratefully acknowledged. This work was partly supported by an Australian Government National Health and Medical Research Council (NHMRC) funding grant, no 1023031.