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Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution
BACKGROUND AND PURPOSE: Magnetic resonance imaging (MRI)-only treatment planning is gaining in popularity in radiation oncology, with various methods available to generate a synthetic computed tomography (sCT) for this purpose. The aim of this study was to validate a sCT generation software for MRI-...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640865/ https://www.ncbi.nlm.nih.gov/pubmed/34901474 http://dx.doi.org/10.1016/j.phro.2021.10.001 |
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author | O'Connor, Laura M. Skehan, Kate Choi, Jae H. Simpson, John Martin, Jarad Warren-Forward, Helen Dowling, Jason Greer, Peter |
author_facet | O'Connor, Laura M. Skehan, Kate Choi, Jae H. Simpson, John Martin, Jarad Warren-Forward, Helen Dowling, Jason Greer, Peter |
author_sort | O'Connor, Laura M. |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Magnetic resonance imaging (MRI)-only treatment planning is gaining in popularity in radiation oncology, with various methods available to generate a synthetic computed tomography (sCT) for this purpose. The aim of this study was to validate a sCT generation software for MRI-only radiotherapy planning of male and female pelvic cancers. The secondary aim of this study was to improve dose agreement by applying a derived relative electron and mass density (RED) curve to the sCT. METHOD AND MATERIALS: Computed tomography (CT) and MRI scans of forty patients with pelvic neoplasms were used in the study. Treatment plans were copied from the CT scan to the sCT scan for dose comparison. Dose difference at reference point, 3D gamma comparison and dose volume histogram analysis was used to validate the dose impact of the sCT. The RED values were optimised to improve dose agreement by using a linear plot. RESULTS: The average percentage dose difference at isocentre was 1.2% and the mean 3D gamma comparison with a criteria of 1%/1 mm was 84.0% ± 9.7%. The results indicate an inherent systematic difference in the dosimetry of the sCT plans, deriving from the tissue densities. With the adapted RED(mod) table, the average percentage dose difference was reduced to −0.1% and the mean 3D gamma analysis improved to 92.9% ± 5.7% at 1%/1 mm. CONCLUSIONS: CT generation software is a viable solution for MRI-only radiotherapy planning. The option makes it relatively easy for departments to implement a MRI-only planning workflow for cancers of male and female pelvic anatomy. |
format | Online Article Text |
id | pubmed-8640865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86408652021-12-09 Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution O'Connor, Laura M. Skehan, Kate Choi, Jae H. Simpson, John Martin, Jarad Warren-Forward, Helen Dowling, Jason Greer, Peter Phys Imaging Radiat Oncol Original Research Article BACKGROUND AND PURPOSE: Magnetic resonance imaging (MRI)-only treatment planning is gaining in popularity in radiation oncology, with various methods available to generate a synthetic computed tomography (sCT) for this purpose. The aim of this study was to validate a sCT generation software for MRI-only radiotherapy planning of male and female pelvic cancers. The secondary aim of this study was to improve dose agreement by applying a derived relative electron and mass density (RED) curve to the sCT. METHOD AND MATERIALS: Computed tomography (CT) and MRI scans of forty patients with pelvic neoplasms were used in the study. Treatment plans were copied from the CT scan to the sCT scan for dose comparison. Dose difference at reference point, 3D gamma comparison and dose volume histogram analysis was used to validate the dose impact of the sCT. The RED values were optimised to improve dose agreement by using a linear plot. RESULTS: The average percentage dose difference at isocentre was 1.2% and the mean 3D gamma comparison with a criteria of 1%/1 mm was 84.0% ± 9.7%. The results indicate an inherent systematic difference in the dosimetry of the sCT plans, deriving from the tissue densities. With the adapted RED(mod) table, the average percentage dose difference was reduced to −0.1% and the mean 3D gamma analysis improved to 92.9% ± 5.7% at 1%/1 mm. CONCLUSIONS: CT generation software is a viable solution for MRI-only radiotherapy planning. The option makes it relatively easy for departments to implement a MRI-only planning workflow for cancers of male and female pelvic anatomy. Elsevier 2021-10-16 /pmc/articles/PMC8640865/ /pubmed/34901474 http://dx.doi.org/10.1016/j.phro.2021.10.001 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Article O'Connor, Laura M. Skehan, Kate Choi, Jae H. Simpson, John Martin, Jarad Warren-Forward, Helen Dowling, Jason Greer, Peter Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
title | Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
title_full | Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
title_fullStr | Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
title_full_unstemmed | Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
title_short | Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
title_sort | optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640865/ https://www.ncbi.nlm.nih.gov/pubmed/34901474 http://dx.doi.org/10.1016/j.phro.2021.10.001 |
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