open access

Vol 24, No 2 (2019)
Published online: 2019-03-01
Submitted: 2018-05-06
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Improved error detection using a divided treatment plan in volume modulated arc therapy

Kazuo Tarutani, Masao Tanooka, Hiroshi Doi, Masayuki Fujiwara, Masaki Miyashita, Kazufumi Kagawa, Norihiko Kamikonya, Koichiro Yamakado
DOI: 10.1016/j.rpor.2018.12.002
·
Rep Pract Oncol Radiother 2019;24(2):133-141.

open access

Vol 24, No 2 (2019)
Published online: 2019-03-01
Submitted: 2018-05-06

Abstract

Aim

We sought to improve error detection ability during volume modulated arc therapy (VMAT) by dividing and evaluating the treatment plan.

Background

VMAT involves moving a beam source delivering radiation to tumor tissue through an arc, which significantly decreases treatment time. Treatment planning for VMAT involves many parameters. Quality assurance before treatment is a major focus of research.

Materials and methods

We used an established VMAT prostate treatment plan and divided it into 12°×30° sections. In all the sections, only image data that generated errors in one segment and those that were integrally acquired were evaluated by a gamma analysis. This was done with five different patient plans.

Results

The integrated image data resulting from errors in each section was 100% (tolerance 0.5mm/0.5%) in the gamma analysis result in all image data. Division of the treatment plans produced a shift in the mean value of each gamma analysis in the cranial, left, and ventral directions of 94.59%, 98.83%, 96.58%, and the discrimination ability improved.

Conclusion

The error discrimination ability was improved by dividing and verifying the portal imaging.

Abstract

Aim

We sought to improve error detection ability during volume modulated arc therapy (VMAT) by dividing and evaluating the treatment plan.

Background

VMAT involves moving a beam source delivering radiation to tumor tissue through an arc, which significantly decreases treatment time. Treatment planning for VMAT involves many parameters. Quality assurance before treatment is a major focus of research.

Materials and methods

We used an established VMAT prostate treatment plan and divided it into 12°×30° sections. In all the sections, only image data that generated errors in one segment and those that were integrally acquired were evaluated by a gamma analysis. This was done with five different patient plans.

Results

The integrated image data resulting from errors in each section was 100% (tolerance 0.5mm/0.5%) in the gamma analysis result in all image data. Division of the treatment plans produced a shift in the mean value of each gamma analysis in the cranial, left, and ventral directions of 94.59%, 98.83%, 96.58%, and the discrimination ability improved.

Conclusion

The error discrimination ability was improved by dividing and verifying the portal imaging.

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Keywords

Volume modulated arc therapy; Electronic portal imaging device; Setup error

About this article
Title

Improved error detection using a divided treatment plan in volume modulated arc therapy

Journal

Reports of Practical Oncology and Radiotherapy

Issue

Vol 24, No 2 (2019)

Pages

133-141

Published online

2019-03-01

DOI

10.1016/j.rpor.2018.12.002

Bibliographic record

Rep Pract Oncol Radiother 2019;24(2):133-141.

Keywords

Volume modulated arc therapy
Electronic portal imaging device
Setup error

Authors

Kazuo Tarutani
Masao Tanooka
Hiroshi Doi
Masayuki Fujiwara
Masaki Miyashita
Kazufumi Kagawa
Norihiko Kamikonya
Koichiro Yamakado

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