A medical image-based graphical platform-Features, applications and relevance for brachytherapy

被引：14

作者：

Fonseca, Gabriel P. ^{[1
,2
]}

Reniers, Brigitte ^{[2
,3
]}

Landry, Guillaume ^{[2
,4
]}

White, Shane ^{[2
]}

Bellezzo, Murillo ^{[1
]}

Antunes, Paula C. G. ^{[1
]}

de Sales, Camila P. ^{[5
]}

Welteman, Eduardo ^{[6
]}

Yoriyaz, Helio ^{[1
]}

Verhaegen, Frank ^{[2
,7
]}

机构：

[1] Inst Pesquisas Energet & Nucl IPEN, CNEN SP, Ctr Engn Nucl, Sao Paulo, Brazil

[2] Maastricht Univ, Med Ctr, GROW Sch Oncol & Dev Biol, Dept Radiat Oncol MAASTRO, NL-6201 BN Maastricht, Netherlands

[3] Hasselt Univ, Ctr Environm Sci, Res Grp NuTeC, Diepenbeek, Belgium

[4] Univ Munich, Dept Med Phys, Garching, Germany

[5] Univ Sao Paulo, Inst Radiol, Hosp Clin, HC FMUSP, Sao Paulo, Brazil

[6] Univ Sao Paulo, Fac Med, HC FMUSP, Sao Paulo, Brazil

[7] McGill Univ, Dept Oncol, Med Phys Unit, Montreal, PQ, Canada

来源：

BRACHYTHERAPY | 2014年 / 13卷 / 06期

基金：

加拿大自然科学与工程研究理事会; 巴西圣保罗研究基金会;

关键词：

Brachytherapy; Monte Carlo; Model-based dose calculation algorithms; User interface; MONTE-CARLO; DOSIMETRY PARAMETERS; DOSE CALCULATIONS; IR-192; RECOMMENDATIONS; SOLVER; WATER;

D O I：

10.1016/j.brachy.2014.07.004

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

PURPOSE: Brachytherapy dose calculation is commonly performed using the Task Group-No 43 Report-Updated protocol (TG-43U1) formalism. Recently, a more accurate approach has been proposed that can handle tissue composition, tissue density, body shape, applicator geometry, and dose reporting either in media or water. Some model-based dose calculation algorithms are based on Monte Carlo (MC) simulations. This work presents a software platform capable of processing medical images and treatment plans, and preparing the required input data for MC simulations. METHODS AND MATERIALS: The A Medical Image-based Graphical platfOrm Brachytherapy module (AMIGOBrachy) is a user interface, coupled to the MCNP6 MC code, for absorbed dose calculations. The AMIGOBrachy was first validated in water for a high-dose-rate Ir-192 source. Next, dose distributions were validated in uniform phantoms consisting of different materials. Finally, dose distributions were obtained in patient geometries. Results were compared against a treatment planning system including a linear Boltzmann transport equation (LBTE) solver capable of handling nonwater heterogeneities. RESULTS: The TG-43U1 source parameters are in good agreement with literature with more than 90% of anisotropy values within 1%. No significant dependence on the tissue composition was observed comparing MC results against an LBTE solver. Clinical cases showed differences up to 25%, when comparing MC results against TG-43U1. About 92% of the voxels exhibited dose differences lower than 2% when comparing MC results against an LBTE solver. CONCLUSION: The AMIGOBrachy can improve the accuracy of the TG-43U1 dose calculation by using a more accurate MC dose calculation algorithm. The AMIGOBrachy can be incorporated in clinical practice via a user-friendly graphical interface. (C) 2014 American Brachytherapy Society. Published by Elsevier Inc. All rights reserved.

引用

页码：632 / 639

页数：8

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