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Impact of time-related factors on biologically accurate radiotherapy treatment planning
BACKGROUND: The incomplete repair (IR) model expresses the cell repair effect from radiation-induced damage over time, which is given little consideration in actual treatment planning. By incorporating the IR model into the normal tissue complication probability (NTCP), the accuracy and safety of tr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824447/ https://www.ncbi.nlm.nih.gov/pubmed/29471859 http://dx.doi.org/10.1186/s13014-018-0973-6 |
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author | Wakisaka, Yushi Yagi, Masashi Sumida, Iori Takashina, Masaaki Ogawa, Kazuhiko Koizumi, Masahiko |
author_facet | Wakisaka, Yushi Yagi, Masashi Sumida, Iori Takashina, Masaaki Ogawa, Kazuhiko Koizumi, Masahiko |
author_sort | Wakisaka, Yushi |
collection | PubMed |
description | BACKGROUND: The incomplete repair (IR) model expresses the cell repair effect from radiation-induced damage over time, which is given little consideration in actual treatment planning. By incorporating the IR model into the normal tissue complication probability (NTCP), the accuracy and safety of treatment plan evaluations concerning the effect of repair can be improved. This study aims to evaluate the impact of incorporating the IR model into the NTCP by varying time-related factors such as the repair half-time (T(1/2)) and the junction-shift sc3hedule in craniospinal irradiation (CSI). METHODS: CSI was planned retrospectively, and the NTCP of the spinal cord was calculated with the IR model for values of T(1/2) from 1 to 10 h. The NTCP in the case of changing the junction-shift schedule was also examined in the same manner. RESULTS: The NTCP with the IR model increased with increasing T(1/2), which is prominent for the larger T(1/2). By changing the junction-shift schedule, the NTCP with the IR model decreased when adjacent fields overlapped. CONCLUSIONS: The IR model is a valuable addition to treatment planning because it enables the NTCP to be evaluated including the effect of repair and differences in scheduling to be reflected in the NTCP. However, these are largely dependent on the value of the T(1/2). |
format | Online Article Text |
id | pubmed-5824447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58244472018-02-26 Impact of time-related factors on biologically accurate radiotherapy treatment planning Wakisaka, Yushi Yagi, Masashi Sumida, Iori Takashina, Masaaki Ogawa, Kazuhiko Koizumi, Masahiko Radiat Oncol Research BACKGROUND: The incomplete repair (IR) model expresses the cell repair effect from radiation-induced damage over time, which is given little consideration in actual treatment planning. By incorporating the IR model into the normal tissue complication probability (NTCP), the accuracy and safety of treatment plan evaluations concerning the effect of repair can be improved. This study aims to evaluate the impact of incorporating the IR model into the NTCP by varying time-related factors such as the repair half-time (T(1/2)) and the junction-shift sc3hedule in craniospinal irradiation (CSI). METHODS: CSI was planned retrospectively, and the NTCP of the spinal cord was calculated with the IR model for values of T(1/2) from 1 to 10 h. The NTCP in the case of changing the junction-shift schedule was also examined in the same manner. RESULTS: The NTCP with the IR model increased with increasing T(1/2), which is prominent for the larger T(1/2). By changing the junction-shift schedule, the NTCP with the IR model decreased when adjacent fields overlapped. CONCLUSIONS: The IR model is a valuable addition to treatment planning because it enables the NTCP to be evaluated including the effect of repair and differences in scheduling to be reflected in the NTCP. However, these are largely dependent on the value of the T(1/2). BioMed Central 2018-02-23 /pmc/articles/PMC5824447/ /pubmed/29471859 http://dx.doi.org/10.1186/s13014-018-0973-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Wakisaka, Yushi Yagi, Masashi Sumida, Iori Takashina, Masaaki Ogawa, Kazuhiko Koizumi, Masahiko Impact of time-related factors on biologically accurate radiotherapy treatment planning |
title | Impact of time-related factors on biologically accurate radiotherapy treatment planning |
title_full | Impact of time-related factors on biologically accurate radiotherapy treatment planning |
title_fullStr | Impact of time-related factors on biologically accurate radiotherapy treatment planning |
title_full_unstemmed | Impact of time-related factors on biologically accurate radiotherapy treatment planning |
title_short | Impact of time-related factors on biologically accurate radiotherapy treatment planning |
title_sort | impact of time-related factors on biologically accurate radiotherapy treatment planning |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824447/ https://www.ncbi.nlm.nih.gov/pubmed/29471859 http://dx.doi.org/10.1186/s13014-018-0973-6 |
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