University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Evaluating the Propagation of Uncertainties in Biologically Based Treatment Planning Parameters

Barry, Miriam A., Hussein, Mohammad and Schettino, Giuseppe (2020) Evaluating the Propagation of Uncertainties in Biologically Based Treatment Planning Parameters Frontiers in Oncology, 10.

[img]
Preview
Text
fonc-10-01058.pdf - Version of Record
Available under License Creative Commons Attribution.

Download (4MB) | Preview

Abstract

Biologically based treatment planning is a broad term used to cover any instance in radiotherapy treatment planning where some form of biological input has been used. This is wide ranging, and the simpler forms (e.g., fractionation modification/optimization) have been in use for many years. However, there is a reluctance to use more sophisticated methods that incorporate biological models either for plan evaluation purposes or for driving plan optimizations. This is due to limited data available regarding the uncertainties in these model parameters and what impact these have clinically. This work aims to address some of these issues and to explore the role that uncertainties in individual model parameters have on the overall tissue control probability (TCP)/normal tissue control probability (NTCP) calculated, those parameters that have the largest influence and situations where extra care must be taken. In order to achieve this, a software tool was developed, which can import individual clinical DVH's for analysis using a range of different TCP/NTCP models. On inputting individual model parameters, an uncertainty can be applied. Using a normally distributed random number generator, distributions of parameters can be generated, from which TCP/NTCP values can be calculated for each parameter set for the DVH in question. These represent the spread in TCP/NTCP parameters that would be observed for a simulated population of patients all being treated with that particular dose distribution. A selection of clinical DVHs was assessed using published parameters and their associated uncertainties. A range of studies was carried out to determine the impact of individual parameter uncertainties including reduction of uncertainties and assessment of what impact fractionation and dose have on these probabilities.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Physics
Authors :
NameEmailORCID
Barry, Miriam A.
Hussein, Mohammad
Schettino, Giuseppegiuseppe.schettino@surrey.ac.uk
Date : 21 July 2020
Funders : UK Government’s Department for Business, Energy and Industrial Strategy
DOI : 10.3389/fonc.2020.01058
Copyright Disclaimer : © 2020 Barry, Hussein and Schettino. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Uncontrolled Keywords : normal tissue complication probability (NTCP), tumor control probability (TCP), uncertainty, biologically based treatment planning, biological optimization
Additional Information : Embargo OK Metadata OK No Further Action
Depositing User : James Marshall
Date Deposited : 25 Aug 2020 14:49
Last Modified : 25 Aug 2020 14:49
URI: http://epubs.surrey.ac.uk/id/eprint/858495

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800