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Simple Electronic Portal Imager-Based Pretreatment Quality Assurance using Acuros XB: A Feasibility Study

OBJECTIVE: This study demonstrates a novel electronic portal imaging device (EPID)-based forward dosimetry approach for pretreatment quality assurance aided by a treatment planning system (TPS). MATERIALS AND METHODS: Dynamic multileaf collimator intensity-modulated radiation therapy (IMRT) plans we...

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Autores principales: Manikandan, Arjunan, Sekaran, Sureka Chandra, Sarkar, Biplab, Manikandan, Sujatha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936198/
https://www.ncbi.nlm.nih.gov/pubmed/31908381
http://dx.doi.org/10.4103/jmp.JMP_84_19
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author Manikandan, Arjunan
Sekaran, Sureka Chandra
Sarkar, Biplab
Manikandan, Sujatha
author_facet Manikandan, Arjunan
Sekaran, Sureka Chandra
Sarkar, Biplab
Manikandan, Sujatha
author_sort Manikandan, Arjunan
collection PubMed
description OBJECTIVE: This study demonstrates a novel electronic portal imaging device (EPID)-based forward dosimetry approach for pretreatment quality assurance aided by a treatment planning system (TPS). MATERIALS AND METHODS: Dynamic multileaf collimator intensity-modulated radiation therapy (IMRT) plans were delivered in EPID and fluence was captured on a beam-by-beam basis (F(EPID)). An open field having dimensions equal to those of the largest IMRT field was used in the TPS to obtain the transmitted fluence. This represented the patient-specific heterogeneity correction (F(het)). To obtain the resultant heterogeneity-corrected fluence, EPID measured fluence was corrected for the TPS generated heterogeneity (F(Resultant) = F(EPID) × F(het)). Next, the calculated fluence per beam basis was collected from TPS (F(TPS)). Finally, F(Resultant) and F(TPS) were compared using a 3% percentage dose difference (% DD)-3 mm distance to agreement [DTA] gamma analysis in an isocentric plane (two-dimensional [2D]) and multiple planes (quasi three-dimensional [3D]) orthogonal to the beam axis. RESULTS: The 2D heterogeneity-corrected dose reconstruction revealed a mean γ passing of the pelvis, thorax, and head-and-neck cases of 96.3% ±2.0%, 96.3% ±1.8%, and 96.1% ±2.2%, respectively. Quasi-3D γ passing for the pelvis, thorax, and head-and-neck cases were 97.5% ±1.4%, 96.3% ±2.4%, and 97.5% ±1.0%, respectively. CONCLUSION: EPID dosimetry produced an inferior result due to no heterogeneity corrections for sites such as the lung and esophagus. Incorporating TPS-based heterogeneity correction improved the EPID dosimetry result for those sites with large heterogeneity.
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spelling pubmed-69361982020-01-06 Simple Electronic Portal Imager-Based Pretreatment Quality Assurance using Acuros XB: A Feasibility Study Manikandan, Arjunan Sekaran, Sureka Chandra Sarkar, Biplab Manikandan, Sujatha J Med Phys Original Article OBJECTIVE: This study demonstrates a novel electronic portal imaging device (EPID)-based forward dosimetry approach for pretreatment quality assurance aided by a treatment planning system (TPS). MATERIALS AND METHODS: Dynamic multileaf collimator intensity-modulated radiation therapy (IMRT) plans were delivered in EPID and fluence was captured on a beam-by-beam basis (F(EPID)). An open field having dimensions equal to those of the largest IMRT field was used in the TPS to obtain the transmitted fluence. This represented the patient-specific heterogeneity correction (F(het)). To obtain the resultant heterogeneity-corrected fluence, EPID measured fluence was corrected for the TPS generated heterogeneity (F(Resultant) = F(EPID) × F(het)). Next, the calculated fluence per beam basis was collected from TPS (F(TPS)). Finally, F(Resultant) and F(TPS) were compared using a 3% percentage dose difference (% DD)-3 mm distance to agreement [DTA] gamma analysis in an isocentric plane (two-dimensional [2D]) and multiple planes (quasi three-dimensional [3D]) orthogonal to the beam axis. RESULTS: The 2D heterogeneity-corrected dose reconstruction revealed a mean γ passing of the pelvis, thorax, and head-and-neck cases of 96.3% ±2.0%, 96.3% ±1.8%, and 96.1% ±2.2%, respectively. Quasi-3D γ passing for the pelvis, thorax, and head-and-neck cases were 97.5% ±1.4%, 96.3% ±2.4%, and 97.5% ±1.0%, respectively. CONCLUSION: EPID dosimetry produced an inferior result due to no heterogeneity corrections for sites such as the lung and esophagus. Incorporating TPS-based heterogeneity correction improved the EPID dosimetry result for those sites with large heterogeneity. Wolters Kluwer - Medknow 2019 2019-12-11 /pmc/articles/PMC6936198/ /pubmed/31908381 http://dx.doi.org/10.4103/jmp.JMP_84_19 Text en Copyright: © 2019 Journal of Medical Physics http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Manikandan, Arjunan
Sekaran, Sureka Chandra
Sarkar, Biplab
Manikandan, Sujatha
Simple Electronic Portal Imager-Based Pretreatment Quality Assurance using Acuros XB: A Feasibility Study
title Simple Electronic Portal Imager-Based Pretreatment Quality Assurance using Acuros XB: A Feasibility Study
title_full Simple Electronic Portal Imager-Based Pretreatment Quality Assurance using Acuros XB: A Feasibility Study
title_fullStr Simple Electronic Portal Imager-Based Pretreatment Quality Assurance using Acuros XB: A Feasibility Study
title_full_unstemmed Simple Electronic Portal Imager-Based Pretreatment Quality Assurance using Acuros XB: A Feasibility Study
title_short Simple Electronic Portal Imager-Based Pretreatment Quality Assurance using Acuros XB: A Feasibility Study
title_sort simple electronic portal imager-based pretreatment quality assurance using acuros xb: a feasibility study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936198/
https://www.ncbi.nlm.nih.gov/pubmed/31908381
http://dx.doi.org/10.4103/jmp.JMP_84_19
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