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Development of a Computational Pregnant Female Phantom and Calculation of Fetal Dose During a Photon Breast Radiotherapy

BACKGROUND: The incidence of carcinoma during pregnancy is reported to be 1:1000–1:1500 pregnancies with the breast carcinoma being the most commonly diagnosed. Since the fetus is most sensitive to ionizing radiation during the first two trimesters, there are mixed clinical opinions and no uniform g...

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Autores principales: Kopacin, Vjekoslav, Kasabasic, Mladen, Faj, Dario, Hubert, Marijke de Saint, Galic, Stipe, Ivkovic, Ana, Majer, Marija, Brkic, Hrvoje
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sciendo 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784366/
https://www.ncbi.nlm.nih.gov/pubmed/36259318
http://dx.doi.org/10.2478/raon-2022-0039
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author Kopacin, Vjekoslav
Kasabasic, Mladen
Faj, Dario
Hubert, Marijke de Saint
Galic, Stipe
Ivkovic, Ana
Majer, Marija
Brkic, Hrvoje
author_facet Kopacin, Vjekoslav
Kasabasic, Mladen
Faj, Dario
Hubert, Marijke de Saint
Galic, Stipe
Ivkovic, Ana
Majer, Marija
Brkic, Hrvoje
author_sort Kopacin, Vjekoslav
collection PubMed
description BACKGROUND: The incidence of carcinoma during pregnancy is reported to be 1:1000–1:1500 pregnancies with the breast carcinoma being the most commonly diagnosed. Since the fetus is most sensitive to ionizing radiation during the first two trimesters, there are mixed clinical opinions and no uniform guidelines on the use of radiotherapy during pregnancy. Within this study the pregnant female phantom in the second trimester, that can be used for radiotherapy treatment planning (as DICOM data), Monte Carlo simulations (as voxelized geometry) and experimental dosimetry utilizing 3D printing of the molds (as .STL files), was developed. MATERIALS AND METHODS: The developed phantom is based on MRI images of a female patient in her 18th week of pregnancy and CT images after childbirth. Phantom was developed in such a manner that a pregnant female was scanned “in vivo” using MRI during pregnancy and CT after childbirth. For the treatment of left breast carcinoma, 3D conformal radiotherapy was used. The voxelized geometry of the phantom was used for Monte Carlo (MC) simulations using Monte Carlo N-Particle transport code(TM) 6.2 (MCNP). CONCLUSIONS: The modeled photon breast radiotherapy plan, applied to the phantom, indicated that the fetus dose is 59 mGy for 50 Gy prescribed to the breast. The results clearly indicate that only 9.5% of the fetal dose is caused by photons that are generated in the accelerator head through scattering and leakage, but the dominant component is scattered radiation from the patient’s body.
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spelling pubmed-97843662022-12-31 Development of a Computational Pregnant Female Phantom and Calculation of Fetal Dose During a Photon Breast Radiotherapy Kopacin, Vjekoslav Kasabasic, Mladen Faj, Dario Hubert, Marijke de Saint Galic, Stipe Ivkovic, Ana Majer, Marija Brkic, Hrvoje Radiol Oncol Research Article BACKGROUND: The incidence of carcinoma during pregnancy is reported to be 1:1000–1:1500 pregnancies with the breast carcinoma being the most commonly diagnosed. Since the fetus is most sensitive to ionizing radiation during the first two trimesters, there are mixed clinical opinions and no uniform guidelines on the use of radiotherapy during pregnancy. Within this study the pregnant female phantom in the second trimester, that can be used for radiotherapy treatment planning (as DICOM data), Monte Carlo simulations (as voxelized geometry) and experimental dosimetry utilizing 3D printing of the molds (as .STL files), was developed. MATERIALS AND METHODS: The developed phantom is based on MRI images of a female patient in her 18th week of pregnancy and CT images after childbirth. Phantom was developed in such a manner that a pregnant female was scanned “in vivo” using MRI during pregnancy and CT after childbirth. For the treatment of left breast carcinoma, 3D conformal radiotherapy was used. The voxelized geometry of the phantom was used for Monte Carlo (MC) simulations using Monte Carlo N-Particle transport code(TM) 6.2 (MCNP). CONCLUSIONS: The modeled photon breast radiotherapy plan, applied to the phantom, indicated that the fetus dose is 59 mGy for 50 Gy prescribed to the breast. The results clearly indicate that only 9.5% of the fetal dose is caused by photons that are generated in the accelerator head through scattering and leakage, but the dominant component is scattered radiation from the patient’s body. Sciendo 2022-10-20 /pmc/articles/PMC9784366/ /pubmed/36259318 http://dx.doi.org/10.2478/raon-2022-0039 Text en © 2022 Vjekoslav Kopacin, Mladen Kasabasic, Dario Faj, Marijke de Saint Hubert, Stipe Galic, Ana Ivkovic, Marija Majer, Hrvoje Brkic, published by Sciendo https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Research Article
Kopacin, Vjekoslav
Kasabasic, Mladen
Faj, Dario
Hubert, Marijke de Saint
Galic, Stipe
Ivkovic, Ana
Majer, Marija
Brkic, Hrvoje
Development of a Computational Pregnant Female Phantom and Calculation of Fetal Dose During a Photon Breast Radiotherapy
title Development of a Computational Pregnant Female Phantom and Calculation of Fetal Dose During a Photon Breast Radiotherapy
title_full Development of a Computational Pregnant Female Phantom and Calculation of Fetal Dose During a Photon Breast Radiotherapy
title_fullStr Development of a Computational Pregnant Female Phantom and Calculation of Fetal Dose During a Photon Breast Radiotherapy
title_full_unstemmed Development of a Computational Pregnant Female Phantom and Calculation of Fetal Dose During a Photon Breast Radiotherapy
title_short Development of a Computational Pregnant Female Phantom and Calculation of Fetal Dose During a Photon Breast Radiotherapy
title_sort development of a computational pregnant female phantom and calculation of fetal dose during a photon breast radiotherapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784366/
https://www.ncbi.nlm.nih.gov/pubmed/36259318
http://dx.doi.org/10.2478/raon-2022-0039
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