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Evaluation of dose accumulation methods and workflows utilising cone beam computed tomography images

INTRODUCTION: Various adaptive radiation therapy (ART) methods have emerged, with little consensus amongst the literature as to which is most appropriate. This study aimed to compare dose mapping (DM) versus Monte Carlo recalculation (MCR), using cone beam computed tomography (CBCT) images when util...

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Autores principales: Brink, Amelia, Stewart, Kate, Hargrave, Catriona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122928/
https://www.ncbi.nlm.nih.gov/pubmed/36168134
http://dx.doi.org/10.1002/jmrs.622
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author Brink, Amelia
Stewart, Kate
Hargrave, Catriona
author_facet Brink, Amelia
Stewart, Kate
Hargrave, Catriona
author_sort Brink, Amelia
collection PubMed
description INTRODUCTION: Various adaptive radiation therapy (ART) methods have emerged, with little consensus amongst the literature as to which is most appropriate. This study aimed to compare dose mapping (DM) versus Monte Carlo recalculation (MCR), using cone beam computed tomography (CBCT) images when utilised in automated ART dose accumulation workflows in the MIM Maestro software package. METHODS: The treatment plans for 38 cancer patients (19 prostate and 19 head and neck cases) were used to perform DM or MCR retrospectively upon CBCTs acquired during treatment, which were then deformably registered to the planning CT (DR‐pCT) to facilitate dose accumulation. Dose–volume and region‐of‐interest data were extracted for the planning target volumes and organs at risk. Intraclass correlation (ICC) values and Bland–Altman plots were utilised to compare DM versus MCR doses on the CBCT images as well as CBCT versus DR‐pCT doses. RESULTS: When comparing DM and MCR on CBCTs, the differences across dose level mean dose differences were mostly within a ±5% level of agreement based on the Bland–Altman plots, with over 67% of ICC values over 0.9 and indicative of good correlation. When these distributions were deformed back to the planning CT, the agreement was reduced considerably, with larger differences (exceeding ±5%) resulting from workflow‐related issues. CONCLUSION: The results emphasise the need to consider and make adaptations to minimise the effect of workflows on algorithm performance. Manual user intervention, refined departmental protocols and further developments to the MIM Maestro software will enhance the use of this tool.
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spelling pubmed-101229282023-04-24 Evaluation of dose accumulation methods and workflows utilising cone beam computed tomography images Brink, Amelia Stewart, Kate Hargrave, Catriona J Med Radiat Sci Original Articles INTRODUCTION: Various adaptive radiation therapy (ART) methods have emerged, with little consensus amongst the literature as to which is most appropriate. This study aimed to compare dose mapping (DM) versus Monte Carlo recalculation (MCR), using cone beam computed tomography (CBCT) images when utilised in automated ART dose accumulation workflows in the MIM Maestro software package. METHODS: The treatment plans for 38 cancer patients (19 prostate and 19 head and neck cases) were used to perform DM or MCR retrospectively upon CBCTs acquired during treatment, which were then deformably registered to the planning CT (DR‐pCT) to facilitate dose accumulation. Dose–volume and region‐of‐interest data were extracted for the planning target volumes and organs at risk. Intraclass correlation (ICC) values and Bland–Altman plots were utilised to compare DM versus MCR doses on the CBCT images as well as CBCT versus DR‐pCT doses. RESULTS: When comparing DM and MCR on CBCTs, the differences across dose level mean dose differences were mostly within a ±5% level of agreement based on the Bland–Altman plots, with over 67% of ICC values over 0.9 and indicative of good correlation. When these distributions were deformed back to the planning CT, the agreement was reduced considerably, with larger differences (exceeding ±5%) resulting from workflow‐related issues. CONCLUSION: The results emphasise the need to consider and make adaptations to minimise the effect of workflows on algorithm performance. Manual user intervention, refined departmental protocols and further developments to the MIM Maestro software will enhance the use of this tool. John Wiley and Sons Inc. 2022-09-27 2023-04 /pmc/articles/PMC10122928/ /pubmed/36168134 http://dx.doi.org/10.1002/jmrs.622 Text en © 2022 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Brink, Amelia
Stewart, Kate
Hargrave, Catriona
Evaluation of dose accumulation methods and workflows utilising cone beam computed tomography images
title Evaluation of dose accumulation methods and workflows utilising cone beam computed tomography images
title_full Evaluation of dose accumulation methods and workflows utilising cone beam computed tomography images
title_fullStr Evaluation of dose accumulation methods and workflows utilising cone beam computed tomography images
title_full_unstemmed Evaluation of dose accumulation methods and workflows utilising cone beam computed tomography images
title_short Evaluation of dose accumulation methods and workflows utilising cone beam computed tomography images
title_sort evaluation of dose accumulation methods and workflows utilising cone beam computed tomography images
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122928/
https://www.ncbi.nlm.nih.gov/pubmed/36168134
http://dx.doi.org/10.1002/jmrs.622
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