author_facet Zhang, Ying
Feng, Yuanming
Ming, Xin
Deng, Jun
Zhang, Ying
Feng, Yuanming
Ming, Xin
Deng, Jun
author Zhang, Ying
Feng, Yuanming
Ming, Xin
Deng, Jun
spellingShingle Zhang, Ying
Feng, Yuanming
Ming, Xin
Deng, Jun
BioMed Research International
Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
General Immunology and Microbiology
General Biochemistry, Genetics and Molecular Biology
General Medicine
author_sort zhang, ying
spelling Zhang, Ying Feng, Yuanming Ming, Xin Deng, Jun 2314-6133 2314-6141 Hindawi Limited General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology General Medicine http://dx.doi.org/10.1155/2016/7319843 <jats:p>A novel treatment modality termed energy modulated photon radiotherapy (EMXRT) was investigated. The first step of EMXRT was to determine beam energy for each gantry angle/anatomy configuration from a pool of photon energy beams (2 to 10 MV) with a newly developed energy selector. An inverse planning system using gradient search algorithm was then employed to optimize photon beam intensity of various beam energies based on presimulated Monte Carlo pencil beam dose distributions in patient anatomy. Finally, 3D dose distributions in six patients of different tumor sites were simulated with Monte Carlo method and compared between EMXRT plans and clinical IMRT plans. Compared to current IMRT technique, the proposed EMXRT method could offer a better paradigm for the radiotherapy of lung cancers and pediatric brain tumors in terms of normal tissue sparing and integral dose. For prostate, head and neck, spine, and thyroid lesions, the EMXRT plans were generally comparable to the IMRT plans. Our feasibility study indicated that lower energy (&lt;6 MV) photon beams could be considered in modern radiotherapy treatment planning to achieve a more personalized care for individual patient with dosimetric gains.</jats:p> Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study BioMed Research International
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title Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
title_unstemmed Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
title_full Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
title_fullStr Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
title_full_unstemmed Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
title_short Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
title_sort energy modulated photon radiotherapy: a monte carlo feasibility study
topic General Immunology and Microbiology
General Biochemistry, Genetics and Molecular Biology
General Medicine
url http://dx.doi.org/10.1155/2016/7319843
publishDate 2016
physical 1-16
description <jats:p>A novel treatment modality termed energy modulated photon radiotherapy (EMXRT) was investigated. The first step of EMXRT was to determine beam energy for each gantry angle/anatomy configuration from a pool of photon energy beams (2 to 10 MV) with a newly developed energy selector. An inverse planning system using gradient search algorithm was then employed to optimize photon beam intensity of various beam energies based on presimulated Monte Carlo pencil beam dose distributions in patient anatomy. Finally, 3D dose distributions in six patients of different tumor sites were simulated with Monte Carlo method and compared between EMXRT plans and clinical IMRT plans. Compared to current IMRT technique, the proposed EMXRT method could offer a better paradigm for the radiotherapy of lung cancers and pediatric brain tumors in terms of normal tissue sparing and integral dose. For prostate, head and neck, spine, and thyroid lesions, the EMXRT plans were generally comparable to the IMRT plans. Our feasibility study indicated that lower energy (&lt;6 MV) photon beams could be considered in modern radiotherapy treatment planning to achieve a more personalized care for individual patient with dosimetric gains.</jats:p>
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author Zhang, Ying, Feng, Yuanming, Ming, Xin, Deng, Jun
author_facet Zhang, Ying, Feng, Yuanming, Ming, Xin, Deng, Jun, Zhang, Ying, Feng, Yuanming, Ming, Xin, Deng, Jun
author_sort zhang, ying
container_start_page 1
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container_volume 2016
description <jats:p>A novel treatment modality termed energy modulated photon radiotherapy (EMXRT) was investigated. The first step of EMXRT was to determine beam energy for each gantry angle/anatomy configuration from a pool of photon energy beams (2 to 10 MV) with a newly developed energy selector. An inverse planning system using gradient search algorithm was then employed to optimize photon beam intensity of various beam energies based on presimulated Monte Carlo pencil beam dose distributions in patient anatomy. Finally, 3D dose distributions in six patients of different tumor sites were simulated with Monte Carlo method and compared between EMXRT plans and clinical IMRT plans. Compared to current IMRT technique, the proposed EMXRT method could offer a better paradigm for the radiotherapy of lung cancers and pediatric brain tumors in terms of normal tissue sparing and integral dose. For prostate, head and neck, spine, and thyroid lesions, the EMXRT plans were generally comparable to the IMRT plans. Our feasibility study indicated that lower energy (&lt;6 MV) photon beams could be considered in modern radiotherapy treatment planning to achieve a more personalized care for individual patient with dosimetric gains.</jats:p>
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spelling Zhang, Ying Feng, Yuanming Ming, Xin Deng, Jun 2314-6133 2314-6141 Hindawi Limited General Immunology and Microbiology General Biochemistry, Genetics and Molecular Biology General Medicine http://dx.doi.org/10.1155/2016/7319843 <jats:p>A novel treatment modality termed energy modulated photon radiotherapy (EMXRT) was investigated. The first step of EMXRT was to determine beam energy for each gantry angle/anatomy configuration from a pool of photon energy beams (2 to 10 MV) with a newly developed energy selector. An inverse planning system using gradient search algorithm was then employed to optimize photon beam intensity of various beam energies based on presimulated Monte Carlo pencil beam dose distributions in patient anatomy. Finally, 3D dose distributions in six patients of different tumor sites were simulated with Monte Carlo method and compared between EMXRT plans and clinical IMRT plans. Compared to current IMRT technique, the proposed EMXRT method could offer a better paradigm for the radiotherapy of lung cancers and pediatric brain tumors in terms of normal tissue sparing and integral dose. For prostate, head and neck, spine, and thyroid lesions, the EMXRT plans were generally comparable to the IMRT plans. Our feasibility study indicated that lower energy (&lt;6 MV) photon beams could be considered in modern radiotherapy treatment planning to achieve a more personalized care for individual patient with dosimetric gains.</jats:p> Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study BioMed Research International
spellingShingle Zhang, Ying, Feng, Yuanming, Ming, Xin, Deng, Jun, BioMed Research International, Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study, General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, General Medicine
title Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
title_full Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
title_fullStr Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
title_full_unstemmed Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
title_short Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
title_sort energy modulated photon radiotherapy: a monte carlo feasibility study
title_unstemmed Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study
topic General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, General Medicine
url http://dx.doi.org/10.1155/2016/7319843