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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Main Authors: Dale Roach, Geert Wortel, Cesar Ochoa, Henrik R. Jensen, Eugene Damen, Philip Vial, Tomas Janssen, Christian Rønn Hansen
Format: Article
Language:English
Published: Elsevier 2019-04-01
Series:Physics and Imaging in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631618300812
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spelling doaj-919b0f601d8b4127b74cf46a0261b93e2020-11-24T22:09:31ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162019-04-0110713Adapting automated treatment planning configurations across international centres for prostate radiotherapyDale Roach0Geert Wortel1Cesar Ochoa2Henrik R. Jensen3Eugene Damen4Philip Vial5Tomas Janssen6Christian Rønn Hansen7Faculty of Medicine, University of New South Wales, Sydney, Australia; Ingham Institute for Applied Medical Research, Sydney, Australia; Corresponding author at: Ingham Institute, Liverpool Hospital, Locked Bag 7103, Liverpool, NSW 1871, Australia.Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The NetherlandsDepartment of Radiation Oncology, Liverpool and Macarthur Cancer Therapy Centres, NSW, AustraliaLaboratory of Radiation Physics, Odense University Hospital, Odense, DenmarkDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The NetherlandsIngham Institute for Applied Medical Research, Sydney, Australia; Department of Radiation Oncology, Liverpool and Macarthur Cancer Therapy Centres, NSW, Australia; Institute of Medical Physics, School of Physics, University of Sydney, Sydney, AustraliaDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The NetherlandsLaboratory of Radiation Physics, Odense University Hospital, Odense, Denmark; Institute of Medical Physics, School of Physics, University of Sydney, Sydney, Australia; Institute of Clinical Research, University of Southern Denmark, DenmarkBackground 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 Pinnacle3® 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. Keywords: Prostate, Automatic, VMAT, Treatment planning, Pinnacle, Multi-centrehttp://www.sciencedirect.com/science/article/pii/S2405631618300812
collection DOAJ
language English
format Article
sources DOAJ
author Dale Roach
Geert Wortel
Cesar Ochoa
Henrik R. Jensen
Eugene Damen
Philip Vial
Tomas Janssen
Christian Rønn Hansen
spellingShingle Dale Roach
Geert Wortel
Cesar Ochoa
Henrik R. Jensen
Eugene Damen
Philip Vial
Tomas Janssen
Christian Rønn Hansen
Adapting automated treatment planning configurations across international centres for prostate radiotherapy
Physics and Imaging in Radiation Oncology
author_facet Dale Roach
Geert Wortel
Cesar Ochoa
Henrik R. Jensen
Eugene Damen
Philip Vial
Tomas Janssen
Christian Rønn Hansen
author_sort Dale Roach
title 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_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_sort adapting automated treatment planning configurations across international centres for prostate radiotherapy
publisher Elsevier
series Physics and Imaging in Radiation Oncology
issn 2405-6316
publishDate 2019-04-01
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 Pinnacle3® 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. Keywords: Prostate, Automatic, VMAT, Treatment planning, Pinnacle, Multi-centre
url http://www.sciencedirect.com/science/article/pii/S2405631618300812
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