open access

Vol 23, No 5 (2018)
Original research articles
Published online: 2018-09-01
Submitted: 2017-09-20
Get Citation

A depth dose study between AAA and AXB algorithm against Monte Carlo simulation using AIP CT of a 4D dataset from a moving phantom

Roger Cai Soh, Guan Heng Tay, Wen Siang Lew, James Cheow Lee
DOI: 10.1016/j.rpor.2018.08.003
·
Rep Pract Oncol Radiother 2018;23(5):413-424.

open access

Vol 23, No 5 (2018)
Original research articles
Published online: 2018-09-01
Submitted: 2017-09-20

Abstract

Aim

To identifying depth dose differences between the two versions of the algorithms using AIP CT of a 4D dataset.

Background

Motion due to respiration may challenge dose prediction of dose calculation algorithms during treatment planning.

Materials and methods

The two versions of depth dose calculation algorithms, namely, Anisotropic Analytical Algorithm (AAA) version 10.0 (AAAv10.0), AAA version 13.6 (AAAv13.6) and Acuros XB dose calculation (AXB) algorithm version 10.0 (AXBv10.0), AXB version 13.6 (AXBv13.6), were compared against a full MC simulated 6X photon beam using QUASAR respiratory motion phantom with a moving chest wall. To simulate the moving chest wall, a 4cm thick wax mould was attached to the lung insert of the phantom. Depth doses along the central axis were compared in the anterior and lateral beam direction for field sizes 2×2cm2, 4×4cm2 and 10×10cm2.

Results

For the lateral beam direction, the moving chest wall highlighted differences of up to 105% for AAAv10.0 and 40% for AXBv10.0 from MC calculations in the surface and buildup doses. AAAv13.6 and AXBv13.6 agrees with MC predictions to within 10% at similar depth. For anterior beam doses, dose differences predicted for both versions of AAA and AXB algorithm were within 7% and results were consistent with static heterogeneous studies.

Conclusions

The presence of the moving chest wall was capable of identifying depth dose differences between the two versions of the algorithms. These differences could not be identified in the static chest wall as shown in the anterior beam depth dose calculations.

Abstract

Aim

To identifying depth dose differences between the two versions of the algorithms using AIP CT of a 4D dataset.

Background

Motion due to respiration may challenge dose prediction of dose calculation algorithms during treatment planning.

Materials and methods

The two versions of depth dose calculation algorithms, namely, Anisotropic Analytical Algorithm (AAA) version 10.0 (AAAv10.0), AAA version 13.6 (AAAv13.6) and Acuros XB dose calculation (AXB) algorithm version 10.0 (AXBv10.0), AXB version 13.6 (AXBv13.6), were compared against a full MC simulated 6X photon beam using QUASAR respiratory motion phantom with a moving chest wall. To simulate the moving chest wall, a 4cm thick wax mould was attached to the lung insert of the phantom. Depth doses along the central axis were compared in the anterior and lateral beam direction for field sizes 2×2cm2, 4×4cm2 and 10×10cm2.

Results

For the lateral beam direction, the moving chest wall highlighted differences of up to 105% for AAAv10.0 and 40% for AXBv10.0 from MC calculations in the surface and buildup doses. AAAv13.6 and AXBv13.6 agrees with MC predictions to within 10% at similar depth. For anterior beam doses, dose differences predicted for both versions of AAA and AXB algorithm were within 7% and results were consistent with static heterogeneous studies.

Conclusions

The presence of the moving chest wall was capable of identifying depth dose differences between the two versions of the algorithms. These differences could not be identified in the static chest wall as shown in the anterior beam depth dose calculations.

Get Citation

Keywords

Dose calculation algorithm; AXB; AAA; Monte Carlo

About this article
Title

A depth dose study between AAA and AXB algorithm against Monte Carlo simulation using AIP CT of a 4D dataset from a moving phantom

Journal

Reports of Practical Oncology and Radiotherapy

Issue

Vol 23, No 5 (2018)

Pages

413-424

Published online

2018-09-01

DOI

10.1016/j.rpor.2018.08.003

Bibliographic record

Rep Pract Oncol Radiother 2018;23(5):413-424.

Keywords

Dose calculation algorithm
AXB
AAA
Monte Carlo

Authors

Roger Cai Soh
Guan Heng Tay
Wen Siang Lew
James Cheow Lee

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