Evaluation of Lung Dose in Esophageal Cancer Radiotherapy Using Monte Carlo Simulation

Background and purpose: Radiation therapy make an important contribution in the control and treatment of cancers. Lungs are the main organs at risk in esophageal cancer radiotherapy. Difference between the dose distribution due to the treatment planning system (TPS) and the patient's body dose...

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Main Authors: Tayyeb Pourfallah, Mohammad Seyed Abousaeedi, Danial Seifi Makrani, Ehsan Mihandoust, Saeed Davoudian
Format: Article
Language:English
Published: Mazandaran University of Medical Sciences 2020-02-01
Series:Journal of Mazandaran University of Medical Sciences
Subjects:
Online Access:http://jmums.mazums.ac.ir/article-1-14432-en.html
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author Tayyeb Pourfallah
Mohammad Seyed Abousaeedi
Danial Seifi Makrani
Ehsan Mihandoust
Saeed Davoudian
author_facet Tayyeb Pourfallah
Mohammad Seyed Abousaeedi
Danial Seifi Makrani
Ehsan Mihandoust
Saeed Davoudian
author_sort Tayyeb Pourfallah
collection DOAJ
description Background and purpose: Radiation therapy make an important contribution in the control and treatment of cancers. Lungs are the main organs at risk in esophageal cancer radiotherapy. Difference between the dose distribution due to the treatment planning system (TPS) and the patient's body dose is dependent on the calculation of the treatment planning system algorithm, which is more pronounced in heterogeneities such as the lung. In this study, the dose distribution of treatment planning system was compared with Monte Carlo calculations in both homogeneous and heterogeneous tissues. Materials and methods: Three dimensional planning composed of four fields were done on the CT images using the CorPLAN TPS of a SIEMENS PRIMUS linac. EGSnrc Monte Carlo simulation code was used for the same conditions. The dose distributions obtained from Monte Carlo simulation and the TPS were compared using PDD curve and Dose Difference Percentage index obtained from the two modes. Results: According to the findings, the error rate from the TPS was less than 3% in the homogeneous tissue, whereas the error in the heterogeneous tissue was higher than the standard value (more than 5%). Conclusion: The accuracy of CorPLAN TPS at homogeneous tissue is more than that in the heterogeneous tissue and this should be considered in the clinic. This study suggests that the Monte Carlo code can be used to simulate and estimate the dose distribution in radiotherapy, and in cases where the practical measurement of some dosimetric parameters is impossible or difficult, this code can be used for prediction and optimization of treatment plans.
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spelling doaj.art-7747e7d1a1c44fc2b042f615a5dc3e4d2023-01-25T05:06:32ZengMazandaran University of Medical SciencesJournal of Mazandaran University of Medical Sciences1735-92601735-92792020-02-01291824149Evaluation of Lung Dose in Esophageal Cancer Radiotherapy Using Monte Carlo SimulationTayyeb Pourfallah0Mohammad Seyed Abousaeedi1Danial Seifi Makrani2Ehsan Mihandoust3Saeed Davoudian4 Associate Professor, Department of Biochemistry, Biophysics and Genetics, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran Medical Student, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran PhD Student in Medical Physics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran PhD in Medical Radiation Engineering, Imam Khomeini Hospital, Sari, Iran Radiation Oncologist, Imam Khomeini Hospital, Sari, Iran Background and purpose: Radiation therapy make an important contribution in the control and treatment of cancers. Lungs are the main organs at risk in esophageal cancer radiotherapy. Difference between the dose distribution due to the treatment planning system (TPS) and the patient's body dose is dependent on the calculation of the treatment planning system algorithm, which is more pronounced in heterogeneities such as the lung. In this study, the dose distribution of treatment planning system was compared with Monte Carlo calculations in both homogeneous and heterogeneous tissues. Materials and methods: Three dimensional planning composed of four fields were done on the CT images using the CorPLAN TPS of a SIEMENS PRIMUS linac. EGSnrc Monte Carlo simulation code was used for the same conditions. The dose distributions obtained from Monte Carlo simulation and the TPS were compared using PDD curve and Dose Difference Percentage index obtained from the two modes. Results: According to the findings, the error rate from the TPS was less than 3% in the homogeneous tissue, whereas the error in the heterogeneous tissue was higher than the standard value (more than 5%). Conclusion: The accuracy of CorPLAN TPS at homogeneous tissue is more than that in the heterogeneous tissue and this should be considered in the clinic. This study suggests that the Monte Carlo code can be used to simulate and estimate the dose distribution in radiotherapy, and in cases where the practical measurement of some dosimetric parameters is impossible or difficult, this code can be used for prediction and optimization of treatment plans.http://jmums.mazums.ac.ir/article-1-14432-en.htmltreatment planning systemmonte carlo simulationradiotherapyesophagus cancerbeamnrc
spellingShingle Tayyeb Pourfallah
Mohammad Seyed Abousaeedi
Danial Seifi Makrani
Ehsan Mihandoust
Saeed Davoudian
Evaluation of Lung Dose in Esophageal Cancer Radiotherapy Using Monte Carlo Simulation
Journal of Mazandaran University of Medical Sciences
treatment planning system
monte carlo simulation
radiotherapy
esophagus cancer
beamnrc
title Evaluation of Lung Dose in Esophageal Cancer Radiotherapy Using Monte Carlo Simulation
title_full Evaluation of Lung Dose in Esophageal Cancer Radiotherapy Using Monte Carlo Simulation
title_fullStr Evaluation of Lung Dose in Esophageal Cancer Radiotherapy Using Monte Carlo Simulation
title_full_unstemmed Evaluation of Lung Dose in Esophageal Cancer Radiotherapy Using Monte Carlo Simulation
title_short Evaluation of Lung Dose in Esophageal Cancer Radiotherapy Using Monte Carlo Simulation
title_sort evaluation of lung dose in esophageal cancer radiotherapy using monte carlo simulation
topic treatment planning system
monte carlo simulation
radiotherapy
esophagus cancer
beamnrc
url http://jmums.mazums.ac.ir/article-1-14432-en.html
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AT danialseifimakrani evaluationoflungdoseinesophagealcancerradiotherapyusingmontecarlosimulation
AT ehsanmihandoust evaluationoflungdoseinesophagealcancerradiotherapyusingmontecarlosimulation
AT saeeddavoudian evaluationoflungdoseinesophagealcancerradiotherapyusingmontecarlosimulation