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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Fonseca, Gabriel P. [1, 2] ; Reniers, Brigitte [1, 3] ; Landry, Guillaume [1, 4] ; White, Shane [1] ; Bellezzo, Murillo [2] ; Antunes, Paula C. G. [2] ; de Sales, Camila P. [5] ; Welteman, Eduardo [6] ; Yoriyaz, Helio [2] ; Verhaegen, Frank [1, 7]
Total Authors: 10
Affiliation:
[1] Maastricht Univ, Med Ctr, GROW Sch Oncol & Dev Biol, Dept Radiat Oncol MAASTRO, NL-6201 BN Maastricht - Netherlands
[2] Inst Pesquisas Energet & Nucl IPEN, CNEN SP, Ctr Engn Nucl, Sao Paulo - Brazil
[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
Total Affiliations: 7
Document type: Journal article
Source: BRACHYTHERAPY; v. 13, n. 6, p. 632-639, NOV-DEC 2014.
Web of Science Citations: 4
Abstract

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. (AU)

FAPESP's process: 11/22778-8 - 3D dosimetry based on medical images and Monte Carlo codes to use in brachytherapy
Grantee:Hélio Yoriyaz
Support Opportunities: Regular Research Grants
FAPESP's process: 11/23765-7 - Dose-volume relationship in planning systems for 3D brachytherapy using mcnp5 code, brachyvision and oncentra
Grantee:Gabriel Paiva Fonseca
Support Opportunities: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 11/01913-4 - Monte Carlo modelling of the patient and treatment delivery complexities for high dose rate brachytherapy
Grantee:Gabriel Paiva Fonseca
Support Opportunities: Scholarships in Brazil - Doctorate