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Dataset for predicting single-spot proton ranges in proton therapy of prostate cancer
The number of radiotherapy patients treated with protons has increased from less than 60,000 in 2007 to more than 220,000 in 2019. However, the considerable uncertainty in the positioning of the Bragg peak deeper in the patient raised new challenges in the proton therapy of prostate cancer (PCPT). H...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481263/ https://www.ncbi.nlm.nih.gov/pubmed/34588458 http://dx.doi.org/10.1038/s41597-021-01028-0 |
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author | Freitas, Hugo Magalhaes Martins, Paulo Tessonnier, Thomas Ackermann, Benjamin Brons, Stephan Seco, Joao |
author_facet | Freitas, Hugo Magalhaes Martins, Paulo Tessonnier, Thomas Ackermann, Benjamin Brons, Stephan Seco, Joao |
author_sort | Freitas, Hugo |
collection | PubMed |
description | The number of radiotherapy patients treated with protons has increased from less than 60,000 in 2007 to more than 220,000 in 2019. However, the considerable uncertainty in the positioning of the Bragg peak deeper in the patient raised new challenges in the proton therapy of prostate cancer (PCPT). Here, we describe and share a dataset where 43 single-spot anterior beams with defined proton energies were delivered to a prostate phantom with an inserted endorectal balloon (ERB) filled either with water only or with a silicon-water mixture. The nuclear reactions between the protons and the silicon yield a distinct prompt gamma energy line of 1.78 MeV. Such energy peak could be identified by means of prompt gamma spectroscopy (PGS) for the protons hitting the ERB with a three-sigma threshold. The application of a background-suppression technique showed an increased rejection capability for protons hitting the prostate and the ERB with water only. We describe each dataset, document the full processing chain, and provide the scripts for the statistical analysis. |
format | Online Article Text |
id | pubmed-8481263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84812632021-10-08 Dataset for predicting single-spot proton ranges in proton therapy of prostate cancer Freitas, Hugo Magalhaes Martins, Paulo Tessonnier, Thomas Ackermann, Benjamin Brons, Stephan Seco, Joao Sci Data Data Descriptor The number of radiotherapy patients treated with protons has increased from less than 60,000 in 2007 to more than 220,000 in 2019. However, the considerable uncertainty in the positioning of the Bragg peak deeper in the patient raised new challenges in the proton therapy of prostate cancer (PCPT). Here, we describe and share a dataset where 43 single-spot anterior beams with defined proton energies were delivered to a prostate phantom with an inserted endorectal balloon (ERB) filled either with water only or with a silicon-water mixture. The nuclear reactions between the protons and the silicon yield a distinct prompt gamma energy line of 1.78 MeV. Such energy peak could be identified by means of prompt gamma spectroscopy (PGS) for the protons hitting the ERB with a three-sigma threshold. The application of a background-suppression technique showed an increased rejection capability for protons hitting the prostate and the ERB with water only. We describe each dataset, document the full processing chain, and provide the scripts for the statistical analysis. Nature Publishing Group UK 2021-09-29 /pmc/articles/PMC8481263/ /pubmed/34588458 http://dx.doi.org/10.1038/s41597-021-01028-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Freitas, Hugo Magalhaes Martins, Paulo Tessonnier, Thomas Ackermann, Benjamin Brons, Stephan Seco, Joao Dataset for predicting single-spot proton ranges in proton therapy of prostate cancer |
title | Dataset for predicting single-spot proton ranges in proton therapy of prostate cancer |
title_full | Dataset for predicting single-spot proton ranges in proton therapy of prostate cancer |
title_fullStr | Dataset for predicting single-spot proton ranges in proton therapy of prostate cancer |
title_full_unstemmed | Dataset for predicting single-spot proton ranges in proton therapy of prostate cancer |
title_short | Dataset for predicting single-spot proton ranges in proton therapy of prostate cancer |
title_sort | dataset for predicting single-spot proton ranges in proton therapy of prostate cancer |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481263/ https://www.ncbi.nlm.nih.gov/pubmed/34588458 http://dx.doi.org/10.1038/s41597-021-01028-0 |
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