open access

Vol 24, No 1 (2019)
Published online: 2019-01-01
Submitted: 2018-08-01
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Analysis of a volumetric-modulated arc therapy (VMAT) single phase prostate template as a class solution

Matthew Hoffmann, Jacqueline Pacey, Josie Goodworth, Andrea Laszcyzk, Richard Ford, Brendon Chick, Stuart Greenham, Justin Westhuyzen
DOI: 10.1016/j.rpor.2018.10.009
·
Rep Pract Oncol Radiother 2019;24(1):92-96.

open access

Vol 24, No 1 (2019)
Published online: 2019-01-01
Submitted: 2018-08-01

Abstract

Aim

To assess a class solution template for volumetric-modulated arc therapy (VMAT) for prostate cancer using plan analysis software.

Background

VMAT is a development of intensity-modulated radiotherapy (IMRT) with potential advantages for the delivery of radiotherapy (RT) in prostate cancer. Class solutions are increasingly used for facilitating RT planning. Plan analysis software provides an objective tool for evaluating class solutions.

Materials and methods

The class solution for VMAT was based on the current static field IMRT template. The plans of 77 prostate cancer patients were evaluated using a set of in-house plan quality metrics (scores) (PlanIQ™, Sun Nuclear Corporation). The metrics compared the class solution for VMAT planning with the IMRT template and the delivered clinical plan (CP). Eight metrics were associated with target coverage and ten with organs-at-risk (OAR). Individual metrics were summed and the combined scores were subjected to non-parametric analysis. The low-dose wash for both static IMRT and VMAT plans were evaluated using 40Gy and 25Gy isodose volumes.

Results

VMAT plans were of equal or better quality than the IMRT template and CP for target coverage (combined score) and OAR combined score. The 40Gy isodose volume was marginally higher with VMAT than IMRT (4.9%) but lower than CP (−6.6%)(P=0.0074). The 25Gy volume was significantly lower with VMAT than both IMRT (−32.7%) and CP (−34.4%)(P<0.00001).

Conclusions

Automated VMAT planning for prostate cancer is feasible and the plans are equal to or better than the current IMRT class solution and the delivered clinical plan.

Abstract

Aim

To assess a class solution template for volumetric-modulated arc therapy (VMAT) for prostate cancer using plan analysis software.

Background

VMAT is a development of intensity-modulated radiotherapy (IMRT) with potential advantages for the delivery of radiotherapy (RT) in prostate cancer. Class solutions are increasingly used for facilitating RT planning. Plan analysis software provides an objective tool for evaluating class solutions.

Materials and methods

The class solution for VMAT was based on the current static field IMRT template. The plans of 77 prostate cancer patients were evaluated using a set of in-house plan quality metrics (scores) (PlanIQ™, Sun Nuclear Corporation). The metrics compared the class solution for VMAT planning with the IMRT template and the delivered clinical plan (CP). Eight metrics were associated with target coverage and ten with organs-at-risk (OAR). Individual metrics were summed and the combined scores were subjected to non-parametric analysis. The low-dose wash for both static IMRT and VMAT plans were evaluated using 40Gy and 25Gy isodose volumes.

Results

VMAT plans were of equal or better quality than the IMRT template and CP for target coverage (combined score) and OAR combined score. The 40Gy isodose volume was marginally higher with VMAT than IMRT (4.9%) but lower than CP (−6.6%)(P=0.0074). The 25Gy volume was significantly lower with VMAT than both IMRT (−32.7%) and CP (−34.4%)(P<0.00001).

Conclusions

Automated VMAT planning for prostate cancer is feasible and the plans are equal to or better than the current IMRT class solution and the delivered clinical plan.

Get Citation

Keywords

Prostate; Radiotherapy planning; Software

About this article
Title

Analysis of a volumetric-modulated arc therapy (VMAT) single phase prostate template as a class solution

Journal

Reports of Practical Oncology and Radiotherapy

Issue

Vol 24, No 1 (2019)

Pages

92-96

Published online

2019-01-01

DOI

10.1016/j.rpor.2018.10.009

Bibliographic record

Rep Pract Oncol Radiother 2019;24(1):92-96.

Keywords

Prostate
Radiotherapy planning
Software

Authors

Matthew Hoffmann
Jacqueline Pacey
Josie Goodworth
Andrea Laszcyzk
Richard Ford
Brendon Chick
Stuart Greenham
Justin Westhuyzen

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