open access

Vol 18, No 4 (2013)
Original research articles
Published online: 2013-07-01
Submitted: 2012-07-16
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Empirical estimation of beam-on time for prostate cancer patients treated on Tomotherapy

Małgorzata Skórska, Tomasz Piotrowski
DOI: 10.1016/j.rpor.2012.12.005
·
Rep Pract Oncol Radiother 2013;18(4):201-208.

open access

Vol 18, No 4 (2013)
Original research articles
Published online: 2013-07-01
Submitted: 2012-07-16

Abstract

Background and aim

This study proposed a method to estimate the beam-on time for prostate cancer patients treated on Tomotherapy when FW (field width), PF (pitch factor), modulation factor (MF) and treatment length (TL) were given.

Material and methods

The study was divided into two parts: building and verifying the model. To build a model, 160 treatment plans were created for 10 patients. The plans differed in combination of FW, PF and MF. For all plans a graph of beam-on time as a function of TL was created and a linear trend function was fitted. Equation for each trend line was determined and used in a correlation model. Finally, 62 plans verified the treatment time computation model – the real execution time was compared with our estimation and irradiation time calculated based on the equation provided by the manufacturer.

Results

A linear trend function was drawn and the coefficient of determination R2 and the Pearson correlation coefficient r were calculated for each of the 8 trend lines corresponding to the adequate treatment plan. An equation to correct the model was determined to estimate more accurately the beam-on time for different MFs. From 62 verification treatment plans, only 5 disagreed by more than 60[[ce:hsp sp="0.25"/]]s with the real time from the HT software. Whereas, for the equation provided by the manufacturer the discrepancy was observed in 16 cases.

Conclusions

Our study showed that the model can well predict the treatment time for a given TL, MF, FW and it can be used in clinical practice.

Abstract

Background and aim

This study proposed a method to estimate the beam-on time for prostate cancer patients treated on Tomotherapy when FW (field width), PF (pitch factor), modulation factor (MF) and treatment length (TL) were given.

Material and methods

The study was divided into two parts: building and verifying the model. To build a model, 160 treatment plans were created for 10 patients. The plans differed in combination of FW, PF and MF. For all plans a graph of beam-on time as a function of TL was created and a linear trend function was fitted. Equation for each trend line was determined and used in a correlation model. Finally, 62 plans verified the treatment time computation model – the real execution time was compared with our estimation and irradiation time calculated based on the equation provided by the manufacturer.

Results

A linear trend function was drawn and the coefficient of determination R2 and the Pearson correlation coefficient r were calculated for each of the 8 trend lines corresponding to the adequate treatment plan. An equation to correct the model was determined to estimate more accurately the beam-on time for different MFs. From 62 verification treatment plans, only 5 disagreed by more than 60[[ce:hsp sp="0.25"/]]s with the real time from the HT software. Whereas, for the equation provided by the manufacturer the discrepancy was observed in 16 cases.

Conclusions

Our study showed that the model can well predict the treatment time for a given TL, MF, FW and it can be used in clinical practice.

Get Citation

Keywords

Tomotherapy; Treatment planning; Treatment time; Prostate cancer; Radiotherapy

About this article
Title

Empirical estimation of beam-on time for prostate cancer patients treated on Tomotherapy

Journal

Reports of Practical Oncology and Radiotherapy

Issue

Vol 18, No 4 (2013)

Pages

201-208

Published online

2013-07-01

DOI

10.1016/j.rpor.2012.12.005

Bibliographic record

Rep Pract Oncol Radiother 2013;18(4):201-208.

Keywords

Tomotherapy
Treatment planning
Treatment time
Prostate cancer
Radiotherapy

Authors

Małgorzata Skórska
Tomasz Piotrowski

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