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Adapting automated treatment planning configurations across international centres for prostate radiotherapy

BACKGROUND AND PURPOSE: Automated configurations are increasingly utilised for radiotherapy treatment planning. This study investigates whether automated treatment planning configurations are adaptable across clinics with different treatment planning protocols for prostate radiotherapy. MATERIAL AND...

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Autores principales: Roach, Dale, Wortel, Geert, Ochoa, Cesar, Jensen, Henrik R., Damen, Eugene, Vial, Philip, Janssen, Tomas, Hansen, Christian Rønn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807573/
https://www.ncbi.nlm.nih.gov/pubmed/33458261
http://dx.doi.org/10.1016/j.phro.2019.04.007
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author Roach, Dale
Wortel, Geert
Ochoa, Cesar
Jensen, Henrik R.
Damen, Eugene
Vial, Philip
Janssen, Tomas
Hansen, Christian Rønn
author_facet Roach, Dale
Wortel, Geert
Ochoa, Cesar
Jensen, Henrik R.
Damen, Eugene
Vial, Philip
Janssen, Tomas
Hansen, Christian Rønn
author_sort Roach, Dale
collection PubMed
description BACKGROUND AND PURPOSE: Automated configurations are increasingly utilised for radiotherapy treatment planning. This study investigates whether automated treatment planning configurations are adaptable across clinics with different treatment planning protocols for prostate radiotherapy. MATERIAL AND METHODS: The study comprised three participating centres, each with pre-existing locally developed prostate AutoPlanning configurations using the Pinnacle(3)® treatment planning system. Using a three-patient training dataset circulated from each centre, centres modified local prostate configurations to generate protocol compliant treatment plans for the other two centres. Each centre applied modified configurations on validation datasets distributed from each centre (10 patients from 3 centres). Plan quality was assessed through DVH analysis and protocol compliance. RESULTS: All treatment plans were clinically acceptable, based off relevant treatment protocol. Automated planning configurations from Centre’s A and B recorded 2 and 18 constraint and high priority deviations respectively. Centre C configurations recorded no high priority deviations. Centre A configurations produced treatment plans with superior dose conformity across all patient PTVs (mean = 1.14) compared with Centre’s B and C (mean = 1.24 and 1.22). Dose homogeneity was consistent between all centre’s configurations (mean = 0.083, 0.077, and 0.083 respectively). CONCLUSIONS: This study demonstrates that automated treatment planning configurations can be shared and implemented across multiple centres with simple adaptations to local protocols.
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spelling pubmed-78075732021-01-14 Adapting automated treatment planning configurations across international centres for prostate radiotherapy Roach, Dale Wortel, Geert Ochoa, Cesar Jensen, Henrik R. Damen, Eugene Vial, Philip Janssen, Tomas Hansen, Christian Rønn Phys Imaging Radiat Oncol Original Research Article BACKGROUND AND PURPOSE: Automated configurations are increasingly utilised for radiotherapy treatment planning. This study investigates whether automated treatment planning configurations are adaptable across clinics with different treatment planning protocols for prostate radiotherapy. MATERIAL AND METHODS: The study comprised three participating centres, each with pre-existing locally developed prostate AutoPlanning configurations using the Pinnacle(3)® treatment planning system. Using a three-patient training dataset circulated from each centre, centres modified local prostate configurations to generate protocol compliant treatment plans for the other two centres. Each centre applied modified configurations on validation datasets distributed from each centre (10 patients from 3 centres). Plan quality was assessed through DVH analysis and protocol compliance. RESULTS: All treatment plans were clinically acceptable, based off relevant treatment protocol. Automated planning configurations from Centre’s A and B recorded 2 and 18 constraint and high priority deviations respectively. Centre C configurations recorded no high priority deviations. Centre A configurations produced treatment plans with superior dose conformity across all patient PTVs (mean = 1.14) compared with Centre’s B and C (mean = 1.24 and 1.22). Dose homogeneity was consistent between all centre’s configurations (mean = 0.083, 0.077, and 0.083 respectively). CONCLUSIONS: This study demonstrates that automated treatment planning configurations can be shared and implemented across multiple centres with simple adaptations to local protocols. Elsevier 2019-04-24 /pmc/articles/PMC7807573/ /pubmed/33458261 http://dx.doi.org/10.1016/j.phro.2019.04.007 Text en © 2019 The Authors http://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
Roach, Dale
Wortel, Geert
Ochoa, Cesar
Jensen, Henrik R.
Damen, Eugene
Vial, Philip
Janssen, Tomas
Hansen, Christian Rønn
Adapting automated treatment planning configurations across international centres for prostate radiotherapy
title Adapting automated treatment planning configurations across international centres for prostate radiotherapy
title_full Adapting automated treatment planning configurations across international centres for prostate radiotherapy
title_fullStr Adapting automated treatment planning configurations across international centres for prostate radiotherapy
title_full_unstemmed Adapting automated treatment planning configurations across international centres for prostate radiotherapy
title_short Adapting automated treatment planning configurations across international centres for prostate radiotherapy
title_sort adapting automated treatment planning configurations across international centres for prostate radiotherapy
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807573/
https://www.ncbi.nlm.nih.gov/pubmed/33458261
http://dx.doi.org/10.1016/j.phro.2019.04.007
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