Cargando…

Isobio software: biological dose distribution and biological dose volume histogram from physical dose conversion using linear-quadratic-linear model

PURPOSE: To develop an in-house software program that is able to calculate and generate the biological dose distribution and biological dose volume histogram by physical dose conversion using the linear-quadratic-linear (LQL) model. MATERIAL AND METHODS: The Isobio software was developed using MATLA...

Descripción completa

Detalles Bibliográficos
Autores principales: Jaikuna, Tanwiwat, Khadsiri, Phatchareewan, Chawapun, Nisa, Saekho, Suwit, Tharavichitkul, Ekkasit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346611/
https://www.ncbi.nlm.nih.gov/pubmed/28344603
http://dx.doi.org/10.5114/jcb.2017.66082
_version_ 1782513911627513856
author Jaikuna, Tanwiwat
Khadsiri, Phatchareewan
Chawapun, Nisa
Saekho, Suwit
Tharavichitkul, Ekkasit
author_facet Jaikuna, Tanwiwat
Khadsiri, Phatchareewan
Chawapun, Nisa
Saekho, Suwit
Tharavichitkul, Ekkasit
author_sort Jaikuna, Tanwiwat
collection PubMed
description PURPOSE: To develop an in-house software program that is able to calculate and generate the biological dose distribution and biological dose volume histogram by physical dose conversion using the linear-quadratic-linear (LQL) model. MATERIAL AND METHODS: The Isobio software was developed using MATLAB version 2014b to calculate and generate the biological dose distribution and biological dose volume histograms. The physical dose from each voxel in treatment planning was extracted through Computational Environment for Radiotherapy Research (CERR), and the accuracy was verified by the differentiation between the dose volume histogram from CERR and the treatment planning system. An equivalent dose in 2 Gy fraction (EQD(2)) was calculated using biological effective dose (BED) based on the LQL model. The software calculation and the manual calculation were compared for EQD(2) verification with pair t-test statistical analysis using IBM SPSS Statistics version 22 (64-bit). RESULTS: Two and three-dimensional biological dose distribution and biological dose volume histogram were displayed correctly by the Isobio software. Different physical doses were found between CERR and treatment planning system (TPS) in Oncentra, with 3.33% in high-risk clinical target volume (HR-CTV) determined by D(90%), 0.56% in the bladder, 1.74% in the rectum when determined by D(2cc), and less than 1% in Pinnacle. The difference in the EQD(2) between the software calculation and the manual calculation was not significantly different with 0.00% at p-values 0.820, 0.095, and 0.593 for external beam radiation therapy (EBRT) and 0.240, 0.320, and 0.849 for brachytherapy (BT) in HR-CTV, bladder, and rectum, respectively. CONCLUSIONS: The Isobio software is a feasible tool to generate the biological dose distribution and biological dose volume histogram for treatment plan evaluation in both EBRT and BT.
format Online
Article
Text
id pubmed-5346611
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Termedia Publishing House
record_format MEDLINE/PubMed
spelling pubmed-53466112017-03-24 Isobio software: biological dose distribution and biological dose volume histogram from physical dose conversion using linear-quadratic-linear model Jaikuna, Tanwiwat Khadsiri, Phatchareewan Chawapun, Nisa Saekho, Suwit Tharavichitkul, Ekkasit J Contemp Brachytherapy Original Paper PURPOSE: To develop an in-house software program that is able to calculate and generate the biological dose distribution and biological dose volume histogram by physical dose conversion using the linear-quadratic-linear (LQL) model. MATERIAL AND METHODS: The Isobio software was developed using MATLAB version 2014b to calculate and generate the biological dose distribution and biological dose volume histograms. The physical dose from each voxel in treatment planning was extracted through Computational Environment for Radiotherapy Research (CERR), and the accuracy was verified by the differentiation between the dose volume histogram from CERR and the treatment planning system. An equivalent dose in 2 Gy fraction (EQD(2)) was calculated using biological effective dose (BED) based on the LQL model. The software calculation and the manual calculation were compared for EQD(2) verification with pair t-test statistical analysis using IBM SPSS Statistics version 22 (64-bit). RESULTS: Two and three-dimensional biological dose distribution and biological dose volume histogram were displayed correctly by the Isobio software. Different physical doses were found between CERR and treatment planning system (TPS) in Oncentra, with 3.33% in high-risk clinical target volume (HR-CTV) determined by D(90%), 0.56% in the bladder, 1.74% in the rectum when determined by D(2cc), and less than 1% in Pinnacle. The difference in the EQD(2) between the software calculation and the manual calculation was not significantly different with 0.00% at p-values 0.820, 0.095, and 0.593 for external beam radiation therapy (EBRT) and 0.240, 0.320, and 0.849 for brachytherapy (BT) in HR-CTV, bladder, and rectum, respectively. CONCLUSIONS: The Isobio software is a feasible tool to generate the biological dose distribution and biological dose volume histogram for treatment plan evaluation in both EBRT and BT. Termedia Publishing House 2017-02-20 2017-02 /pmc/articles/PMC5346611/ /pubmed/28344603 http://dx.doi.org/10.5114/jcb.2017.66082 Text en Copyright: © 2017 Termedia Sp. z o. o. http://creativecommons.org/licenses/by-nc-sa/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
spellingShingle Original Paper
Jaikuna, Tanwiwat
Khadsiri, Phatchareewan
Chawapun, Nisa
Saekho, Suwit
Tharavichitkul, Ekkasit
Isobio software: biological dose distribution and biological dose volume histogram from physical dose conversion using linear-quadratic-linear model
title Isobio software: biological dose distribution and biological dose volume histogram from physical dose conversion using linear-quadratic-linear model
title_full Isobio software: biological dose distribution and biological dose volume histogram from physical dose conversion using linear-quadratic-linear model
title_fullStr Isobio software: biological dose distribution and biological dose volume histogram from physical dose conversion using linear-quadratic-linear model
title_full_unstemmed Isobio software: biological dose distribution and biological dose volume histogram from physical dose conversion using linear-quadratic-linear model
title_short Isobio software: biological dose distribution and biological dose volume histogram from physical dose conversion using linear-quadratic-linear model
title_sort isobio software: biological dose distribution and biological dose volume histogram from physical dose conversion using linear-quadratic-linear model
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346611/
https://www.ncbi.nlm.nih.gov/pubmed/28344603
http://dx.doi.org/10.5114/jcb.2017.66082
work_keys_str_mv AT jaikunatanwiwat isobiosoftwarebiologicaldosedistributionandbiologicaldosevolumehistogramfromphysicaldoseconversionusinglinearquadraticlinearmodel
AT khadsiriphatchareewan isobiosoftwarebiologicaldosedistributionandbiologicaldosevolumehistogramfromphysicaldoseconversionusinglinearquadraticlinearmodel
AT chawapunnisa isobiosoftwarebiologicaldosedistributionandbiologicaldosevolumehistogramfromphysicaldoseconversionusinglinearquadraticlinearmodel
AT saekhosuwit isobiosoftwarebiologicaldosedistributionandbiologicaldosevolumehistogramfromphysicaldoseconversionusinglinearquadraticlinearmodel
AT tharavichitkulekkasit isobiosoftwarebiologicaldosedistributionandbiologicaldosevolumehistogramfromphysicaldoseconversionusinglinearquadraticlinearmodel