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Radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the CT image reconstruction kernel

OBJECTIVE: The reconstruction kernel used for a CT scan strongly influences the image quality. This work investigates the changes in Hounsfield units (HUs) which can arise when altering the image reconstruction kernel for planning CT images and the associated changes in dose in the radiotherapy trea...

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Autores principales: Davis, Anne T, Muscat, Sarah, Palmer, Antony L., Buckle, David, Earley, James, Williams, Matthew G.J., Nisbet, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592475/
https://www.ncbi.nlm.nih.gov/pubmed/33178950
http://dx.doi.org/10.1259/bjro.20190023
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author Davis, Anne T
Muscat, Sarah
Palmer, Antony L.
Buckle, David
Earley, James
Williams, Matthew G.J.
Nisbet, Andrew
author_facet Davis, Anne T
Muscat, Sarah
Palmer, Antony L.
Buckle, David
Earley, James
Williams, Matthew G.J.
Nisbet, Andrew
author_sort Davis, Anne T
collection PubMed
description OBJECTIVE: The reconstruction kernel used for a CT scan strongly influences the image quality. This work investigates the changes in Hounsfield units (HUs) which can arise when altering the image reconstruction kernel for planning CT images and the associated changes in dose in the radiotherapy treatment plan if the treatment planning system (TPS) is not re-calibrated. METHODS: Head and neck, prostate and lung CT images from four centres were used. For a specific scan, the base image was acquired using the original reconstruction kernel (used when the TPS was calibrated) and the treatment plan produced. The treatment plan was applied to all images from the other reconstruction kernels. Differences in dose-volume metrics for the planning target volume (PTV) and organs at risk (OARs) were noted and HU differences between images measured for air, soft tissue and bone. RESULTS: : HU change in soft tissue had the greatest influence on dose change. When within ±20 HU for soft tissue and ±50 HU for bone and air the dose change in the PTV and OAR was within ±0.5% and ±1% respectively. CONCLUSIONS: : When imaging parameters were changed, if HU change was within ±20 HU for soft tissue and ±50 HU for bone and air, the change in the PTV and OAR doses was below 1%. ADVANCES IN KNOWLEDGE: The degree of dose change in the treatment plan with HU change is demonstrated for current TPS algorithms. This adds to the limited evidence base for recommendations on HU tolerances as a tool for radiotherapy CT protocol optimization.
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spelling pubmed-75924752020-11-10 Radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the CT image reconstruction kernel Davis, Anne T Muscat, Sarah Palmer, Antony L. Buckle, David Earley, James Williams, Matthew G.J. Nisbet, Andrew BJR Open Original Research OBJECTIVE: The reconstruction kernel used for a CT scan strongly influences the image quality. This work investigates the changes in Hounsfield units (HUs) which can arise when altering the image reconstruction kernel for planning CT images and the associated changes in dose in the radiotherapy treatment plan if the treatment planning system (TPS) is not re-calibrated. METHODS: Head and neck, prostate and lung CT images from four centres were used. For a specific scan, the base image was acquired using the original reconstruction kernel (used when the TPS was calibrated) and the treatment plan produced. The treatment plan was applied to all images from the other reconstruction kernels. Differences in dose-volume metrics for the planning target volume (PTV) and organs at risk (OARs) were noted and HU differences between images measured for air, soft tissue and bone. RESULTS: : HU change in soft tissue had the greatest influence on dose change. When within ±20 HU for soft tissue and ±50 HU for bone and air the dose change in the PTV and OAR was within ±0.5% and ±1% respectively. CONCLUSIONS: : When imaging parameters were changed, if HU change was within ±20 HU for soft tissue and ±50 HU for bone and air, the change in the PTV and OAR doses was below 1%. ADVANCES IN KNOWLEDGE: The degree of dose change in the treatment plan with HU change is demonstrated for current TPS algorithms. This adds to the limited evidence base for recommendations on HU tolerances as a tool for radiotherapy CT protocol optimization. The British Institute of Radiology. 2019-07-30 /pmc/articles/PMC7592475/ /pubmed/33178950 http://dx.doi.org/10.1259/bjro.20190023 Text en © 2019 The Authors. Published by the British Institute of Radiology This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Research
Davis, Anne T
Muscat, Sarah
Palmer, Antony L.
Buckle, David
Earley, James
Williams, Matthew G.J.
Nisbet, Andrew
Radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the CT image reconstruction kernel
title Radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the CT image reconstruction kernel
title_full Radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the CT image reconstruction kernel
title_fullStr Radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the CT image reconstruction kernel
title_full_unstemmed Radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the CT image reconstruction kernel
title_short Radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the CT image reconstruction kernel
title_sort radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the ct image reconstruction kernel
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592475/
https://www.ncbi.nlm.nih.gov/pubmed/33178950
http://dx.doi.org/10.1259/bjro.20190023
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