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Value of Three-Dimensional Imaging Systems for Image-Guided Carbon Ion Radiotherapy

Carbon ion radiotherapy (C-ion RT) allows excellent dose distribution because of the Bragg Peak. Compared with conventional radiotherapy, it delivers a higher dose with a smaller field. However, the dose distribution is sensitive to anatomical changes. Imaging technologies are necessary to reduce un...

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Detalles Bibliográficos
Autores principales: Li, Yang, Kubota, Yoshiki, Tashiro, Mutsumi, Ohno, Tatsuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468538/
https://www.ncbi.nlm.nih.gov/pubmed/30832346
http://dx.doi.org/10.3390/cancers11030297
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author Li, Yang
Kubota, Yoshiki
Tashiro, Mutsumi
Ohno, Tatsuya
author_facet Li, Yang
Kubota, Yoshiki
Tashiro, Mutsumi
Ohno, Tatsuya
author_sort Li, Yang
collection PubMed
description Carbon ion radiotherapy (C-ion RT) allows excellent dose distribution because of the Bragg Peak. Compared with conventional radiotherapy, it delivers a higher dose with a smaller field. However, the dose distribution is sensitive to anatomical changes. Imaging technologies are necessary to reduce uncertainties during treatment, especially for hypofractionated and adaptive radiotherapy (ART). In-room computed tomography (CT) techniques, such as cone-beam CT (CBCT) and CT-on-rails are routinely used in photon centers and play a key role in improving treatment accuracy. For C-ion RT, there is an increasing demand for a three-dimensional (3D) image-guided system because of the limitations of the present two-dimensional (2D) imaging verification technology. This review discusses the current imaging system used in carbon ion centers and the potential benefits of a volumetric image-guided system.
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spelling pubmed-64685382019-04-24 Value of Three-Dimensional Imaging Systems for Image-Guided Carbon Ion Radiotherapy Li, Yang Kubota, Yoshiki Tashiro, Mutsumi Ohno, Tatsuya Cancers (Basel) Review Carbon ion radiotherapy (C-ion RT) allows excellent dose distribution because of the Bragg Peak. Compared with conventional radiotherapy, it delivers a higher dose with a smaller field. However, the dose distribution is sensitive to anatomical changes. Imaging technologies are necessary to reduce uncertainties during treatment, especially for hypofractionated and adaptive radiotherapy (ART). In-room computed tomography (CT) techniques, such as cone-beam CT (CBCT) and CT-on-rails are routinely used in photon centers and play a key role in improving treatment accuracy. For C-ion RT, there is an increasing demand for a three-dimensional (3D) image-guided system because of the limitations of the present two-dimensional (2D) imaging verification technology. This review discusses the current imaging system used in carbon ion centers and the potential benefits of a volumetric image-guided system. MDPI 2019-03-02 /pmc/articles/PMC6468538/ /pubmed/30832346 http://dx.doi.org/10.3390/cancers11030297 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Li, Yang
Kubota, Yoshiki
Tashiro, Mutsumi
Ohno, Tatsuya
Value of Three-Dimensional Imaging Systems for Image-Guided Carbon Ion Radiotherapy
title Value of Three-Dimensional Imaging Systems for Image-Guided Carbon Ion Radiotherapy
title_full Value of Three-Dimensional Imaging Systems for Image-Guided Carbon Ion Radiotherapy
title_fullStr Value of Three-Dimensional Imaging Systems for Image-Guided Carbon Ion Radiotherapy
title_full_unstemmed Value of Three-Dimensional Imaging Systems for Image-Guided Carbon Ion Radiotherapy
title_short Value of Three-Dimensional Imaging Systems for Image-Guided Carbon Ion Radiotherapy
title_sort value of three-dimensional imaging systems for image-guided carbon ion radiotherapy
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468538/
https://www.ncbi.nlm.nih.gov/pubmed/30832346
http://dx.doi.org/10.3390/cancers11030297
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