A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device

Abstract Background Intensity-modulated radiation therapy (IMRT) and volume-modulated arc therapy (VMAT) are rather complex treatment techniques and require patient-specific quality assurance procedures. Electronic portal imaging devices (EPID) are increasingly used in the verification of radiation...

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Autores principales: Jun Zhang, Xiuqing Li, Miaomiao Lu, Qilin Zhang, Xile Zhang, Ruijie Yang, Maria F. Chan, Junhai Wen
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Lenguaje:EN
Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/8a6b69922d3648009b84aa31c77f1ac1
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spelling oai:doaj.org-article:8a6b69922d3648009b84aa31c77f1ac12021-12-05T12:10:23ZA method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device10.1186/s13014-021-01953-91748-717Xhttps://doaj.org/article/8a6b69922d3648009b84aa31c77f1ac12021-12-01T00:00:00Zhttps://doi.org/10.1186/s13014-021-01953-9https://doaj.org/toc/1748-717XAbstract Background Intensity-modulated radiation therapy (IMRT) and volume-modulated arc therapy (VMAT) are rather complex treatment techniques and require patient-specific quality assurance procedures. Electronic portal imaging devices (EPID) are increasingly used in the verification of radiation therapy (RT). This work aims to develop a novel model to predict the EPID transmission image (TI) with fluence maps from the RT plan. The predicted TI is compared with the measured TI for in vivo treatment verification. Methods The fluence map was extracted from the RT plan and corrections of penumbra, response, global field output, attenuation, and scatter were applied before the TI was calculated. The parameters used in the model were calculated separately for central axis and off-axis points using a series of EPID measurement data. Our model was evaluated using a CIRS thorax phantom and 20 clinical plans (10 IMRT and 10 VMAT) optimized for head and neck, breast, and rectum treatments. Results Comparisons of the predicted and measured images were carried out using a global gamma analysis of 3%/2 mm (10% threshold) to validate the accuracy of the model. The gamma pass rates for IMRT and VMAT were greater than 97.2% and 94.5% at 3%/2 mm, respectively. Conclusion We have developed an accurate and straightforward EPID-based quality assurance model that can potentially be used for in vivo treatment verification of the IMRT and VMAT delivery.Jun ZhangXiuqing LiMiaomiao LuQilin ZhangXile ZhangRuijie YangMaria F. ChanJunhai WenBMCarticleRadiotherapyEPIDQuality assuranceIn vivo verificationMedical physics. Medical radiology. Nuclear medicineR895-920Neoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENRadiation Oncology, Vol 16, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Radiotherapy
EPID
Quality assurance
In vivo verification
Medical physics. Medical radiology. Nuclear medicine
R895-920
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle Radiotherapy
EPID
Quality assurance
In vivo verification
Medical physics. Medical radiology. Nuclear medicine
R895-920
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Jun Zhang
Xiuqing Li
Miaomiao Lu
Qilin Zhang
Xile Zhang
Ruijie Yang
Maria F. Chan
Junhai Wen
A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device
description Abstract Background Intensity-modulated radiation therapy (IMRT) and volume-modulated arc therapy (VMAT) are rather complex treatment techniques and require patient-specific quality assurance procedures. Electronic portal imaging devices (EPID) are increasingly used in the verification of radiation therapy (RT). This work aims to develop a novel model to predict the EPID transmission image (TI) with fluence maps from the RT plan. The predicted TI is compared with the measured TI for in vivo treatment verification. Methods The fluence map was extracted from the RT plan and corrections of penumbra, response, global field output, attenuation, and scatter were applied before the TI was calculated. The parameters used in the model were calculated separately for central axis and off-axis points using a series of EPID measurement data. Our model was evaluated using a CIRS thorax phantom and 20 clinical plans (10 IMRT and 10 VMAT) optimized for head and neck, breast, and rectum treatments. Results Comparisons of the predicted and measured images were carried out using a global gamma analysis of 3%/2 mm (10% threshold) to validate the accuracy of the model. The gamma pass rates for IMRT and VMAT were greater than 97.2% and 94.5% at 3%/2 mm, respectively. Conclusion We have developed an accurate and straightforward EPID-based quality assurance model that can potentially be used for in vivo treatment verification of the IMRT and VMAT delivery.
format article
author Jun Zhang
Xiuqing Li
Miaomiao Lu
Qilin Zhang
Xile Zhang
Ruijie Yang
Maria F. Chan
Junhai Wen
author_facet Jun Zhang
Xiuqing Li
Miaomiao Lu
Qilin Zhang
Xile Zhang
Ruijie Yang
Maria F. Chan
Junhai Wen
author_sort Jun Zhang
title A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device
title_short A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device
title_full A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device
title_fullStr A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device
title_full_unstemmed A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device
title_sort method for in vivo treatment verification of imrt and vmat based on electronic portal imaging device
publisher BMC
publishDate 2021
url https://doaj.org/article/8a6b69922d3648009b84aa31c77f1ac1
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