A robust optimisation approach accounting for the effect of fractionation on setup uncertaintiesCitation formats

  • Authors:
  • Matthew Lowe
  • Adam Aitkenhead
  • Francesca Albertini
  • Antony J. Lomax
  • Ranald I. Mackay

Standard

A robust optimisation approach accounting for the effect of fractionation on setup uncertainties. / Lowe, Matthew; Aitkenhead, Adam; Albertini, Francesca; Lomax, Antony J.; Mackay, Ranald I.

In: Physics in Medicine and Biology, Vol. 62, No. 20, 04.10.2017, p. 8178-8196.

Research output: Contribution to journalArticlepeer-review

Harvard

Lowe, M, Aitkenhead, A, Albertini, F, Lomax, AJ & Mackay, RI 2017, 'A robust optimisation approach accounting for the effect of fractionation on setup uncertainties', Physics in Medicine and Biology, vol. 62, no. 20, pp. 8178-8196. https://doi.org/10.1088/1361-6560/aa8c58

APA

Lowe, M., Aitkenhead, A., Albertini, F., Lomax, A. J., & Mackay, R. I. (2017). A robust optimisation approach accounting for the effect of fractionation on setup uncertainties. Physics in Medicine and Biology, 62(20), 8178-8196. https://doi.org/10.1088/1361-6560/aa8c58

Vancouver

Lowe M, Aitkenhead A, Albertini F, Lomax AJ, Mackay RI. A robust optimisation approach accounting for the effect of fractionation on setup uncertainties. Physics in Medicine and Biology. 2017 Oct 4;62(20):8178-8196. https://doi.org/10.1088/1361-6560/aa8c58

Author

Lowe, Matthew ; Aitkenhead, Adam ; Albertini, Francesca ; Lomax, Antony J. ; Mackay, Ranald I. / A robust optimisation approach accounting for the effect of fractionation on setup uncertainties. In: Physics in Medicine and Biology. 2017 ; Vol. 62, No. 20. pp. 8178-8196.

Bibtex

@article{ba0c60ef12a44c50951f6ffb6c5cfeed,
title = "A robust optimisation approach accounting for the effect of fractionation on setup uncertainties",
abstract = "Proton plans are subject to a number of uncertainties which must be accounted for to ensure that they are delivered safely. Misalignment resulting from residual errors in daily patient positioning can result in both a displacement and distortion of dose distributions. This can be particularly important for intensity modulated proton therapy treatments where the accurate alignment of highly modulated fields may be required to deliver the intended treatment. A number of methods to generate plans that are robust to these uncertainties exist. These include robust optimisation approaches which account for the effect of uncertainties on the dose distribution within the optimisation process. However, robustness to uncertainty comes at the cost of plan quality. For this reason, it is important that the uncertainties considered are realistic. Existing approaches to robust optimisation have neglected the role of fractionated treatment deliveries in reducing the uncertainties that result from random setup errors. Here, a method of robust optimisation which accounts for this effect is presented and is evaluated using a 2D planning environment. The optimisation algorithm considers the dose in the estimated upper and lower bounds of the dose distribution under the effect of setup and range errors. A comparison with plans robustly optimised without consideration of the effect of fractionation and conventionally optimised plans is presented. Fractionation incorporated robust optimisation demonstrates a reduced sensitivity to uncertainty compared to conventionally optimised plans and a reduced integral dose compared to robustly optimised plans.",
keywords = "proton therapy, robust optimization, robustness, uncertainty",
author = "Matthew Lowe and Adam Aitkenhead and Francesca Albertini and Lomax, {Antony J.} and Mackay, {Ranald I.}",
year = "2017",
month = oct,
day = "4",
doi = "10.1088/1361-6560/aa8c58",
language = "English",
volume = "62",
pages = "8178--8196",
journal = "Physics in Medicine and Biology",
issn = "0031-9155",
publisher = "IOP Publishing Ltd",
number = "20",

}

RIS

TY - JOUR

T1 - A robust optimisation approach accounting for the effect of fractionation on setup uncertainties

AU - Lowe, Matthew

AU - Aitkenhead, Adam

AU - Albertini, Francesca

AU - Lomax, Antony J.

AU - Mackay, Ranald I.

PY - 2017/10/4

Y1 - 2017/10/4

N2 - Proton plans are subject to a number of uncertainties which must be accounted for to ensure that they are delivered safely. Misalignment resulting from residual errors in daily patient positioning can result in both a displacement and distortion of dose distributions. This can be particularly important for intensity modulated proton therapy treatments where the accurate alignment of highly modulated fields may be required to deliver the intended treatment. A number of methods to generate plans that are robust to these uncertainties exist. These include robust optimisation approaches which account for the effect of uncertainties on the dose distribution within the optimisation process. However, robustness to uncertainty comes at the cost of plan quality. For this reason, it is important that the uncertainties considered are realistic. Existing approaches to robust optimisation have neglected the role of fractionated treatment deliveries in reducing the uncertainties that result from random setup errors. Here, a method of robust optimisation which accounts for this effect is presented and is evaluated using a 2D planning environment. The optimisation algorithm considers the dose in the estimated upper and lower bounds of the dose distribution under the effect of setup and range errors. A comparison with plans robustly optimised without consideration of the effect of fractionation and conventionally optimised plans is presented. Fractionation incorporated robust optimisation demonstrates a reduced sensitivity to uncertainty compared to conventionally optimised plans and a reduced integral dose compared to robustly optimised plans.

AB - Proton plans are subject to a number of uncertainties which must be accounted for to ensure that they are delivered safely. Misalignment resulting from residual errors in daily patient positioning can result in both a displacement and distortion of dose distributions. This can be particularly important for intensity modulated proton therapy treatments where the accurate alignment of highly modulated fields may be required to deliver the intended treatment. A number of methods to generate plans that are robust to these uncertainties exist. These include robust optimisation approaches which account for the effect of uncertainties on the dose distribution within the optimisation process. However, robustness to uncertainty comes at the cost of plan quality. For this reason, it is important that the uncertainties considered are realistic. Existing approaches to robust optimisation have neglected the role of fractionated treatment deliveries in reducing the uncertainties that result from random setup errors. Here, a method of robust optimisation which accounts for this effect is presented and is evaluated using a 2D planning environment. The optimisation algorithm considers the dose in the estimated upper and lower bounds of the dose distribution under the effect of setup and range errors. A comparison with plans robustly optimised without consideration of the effect of fractionation and conventionally optimised plans is presented. Fractionation incorporated robust optimisation demonstrates a reduced sensitivity to uncertainty compared to conventionally optimised plans and a reduced integral dose compared to robustly optimised plans.

KW - proton therapy

KW - robust optimization

KW - robustness

KW - uncertainty

UR - http://www.scopus.com/inward/record.url?scp=85030867860&partnerID=8YFLogxK

U2 - 10.1088/1361-6560/aa8c58

DO - 10.1088/1361-6560/aa8c58

M3 - Article

AN - SCOPUS:85030867860

VL - 62

SP - 8178

EP - 8196

JO - Physics in Medicine and Biology

JF - Physics in Medicine and Biology

SN - 0031-9155

IS - 20

ER -