Cargando…

Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience

PURPOSE: Integrating magnetic resonance (MR) into radiotherapy planning has several advantages. This report details the clinical implementation of an MR simulation (MR-planning) program for external beam radiotherapy (EBRT) in one of North America's largest radiotherapy programs. METHODS AND MA...

Descripción completa

Detalles Bibliográficos
Autores principales: Moore-Palhares, Daniel, Ho, Ling, Lu, Lin, Chugh, Brige, Vesprini, Danny, Karam, Irene, Soliman, Hany, Symons, Sean, Leung, Eric, Loblaw, Andrew, Myrehaug, Sten, Stanisz, Greg, Sahgal, Arjun, Czarnota, Gregory J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903411/
https://www.ncbi.nlm.nih.gov/pubmed/36750891
http://dx.doi.org/10.1186/s13014-023-02209-4
_version_ 1784883466833231872
author Moore-Palhares, Daniel
Ho, Ling
Lu, Lin
Chugh, Brige
Vesprini, Danny
Karam, Irene
Soliman, Hany
Symons, Sean
Leung, Eric
Loblaw, Andrew
Myrehaug, Sten
Stanisz, Greg
Sahgal, Arjun
Czarnota, Gregory J.
author_facet Moore-Palhares, Daniel
Ho, Ling
Lu, Lin
Chugh, Brige
Vesprini, Danny
Karam, Irene
Soliman, Hany
Symons, Sean
Leung, Eric
Loblaw, Andrew
Myrehaug, Sten
Stanisz, Greg
Sahgal, Arjun
Czarnota, Gregory J.
author_sort Moore-Palhares, Daniel
collection PubMed
description PURPOSE: Integrating magnetic resonance (MR) into radiotherapy planning has several advantages. This report details the clinical implementation of an MR simulation (MR-planning) program for external beam radiotherapy (EBRT) in one of North America's largest radiotherapy programs. METHODS AND MATERIALS: An MR radiotherapy planning program was developed and implemented at Sunnybrook Health Sciences Center in 2016 with two dedicated wide-bore MR platforms (1.5 and 3.0 Tesla). Planning MR was sequentially implemented every 3 months for separate treatment sites, including the central nervous system (CNS), gynecologic (GYN), head and neck (HN), genitourinary (GU), gastrointestinal (GI), breast, and brachial plexus. Essential protocols and processes were detailed in this report, including clinical workflow, optimized MR-image acquisition protocols, MR-adapted patient setup, strategies to overcome risks and challenges, and an MR-planning quality assurance program. This study retrospectively reviewed simulation site data for all MR-planning sessions performed for EBRT over the past 5 years. RESULTS: From July 2016 to December 2021, 8798 MR-planning sessions were carried out, which corresponds to 25% of all computer tomography (CT) simulations (CT-planning) performed during the same period at our institution. There was a progressive rise from 80 MR-planning sessions in 2016 to 1126 in 2017, 1492 in 2018, 1824 in 2019, 2040 in 2020, and 2236 in 2021. As a result, the relative number of planning MR/CT increased from 3% of all planning sessions in 2016 to 36% in 2021. The most common site of MR-planning was CNS (49%), HN (13%), GYN (12%), GU (12%), and others (8%). CONCLUSION: Detailed clinical processes and protocols of our MR-planning program were presented, which have been improved over more than 5 years of robust experience. Strategies to overcome risks and challenges in the implementation process are highlighted. Our work provides details that can be used by institutions interested in implementing an MR-planning program. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-023-02209-4.
format Online
Article
Text
id pubmed-9903411
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-99034112023-02-08 Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience Moore-Palhares, Daniel Ho, Ling Lu, Lin Chugh, Brige Vesprini, Danny Karam, Irene Soliman, Hany Symons, Sean Leung, Eric Loblaw, Andrew Myrehaug, Sten Stanisz, Greg Sahgal, Arjun Czarnota, Gregory J. Radiat Oncol Research PURPOSE: Integrating magnetic resonance (MR) into radiotherapy planning has several advantages. This report details the clinical implementation of an MR simulation (MR-planning) program for external beam radiotherapy (EBRT) in one of North America's largest radiotherapy programs. METHODS AND MATERIALS: An MR radiotherapy planning program was developed and implemented at Sunnybrook Health Sciences Center in 2016 with two dedicated wide-bore MR platforms (1.5 and 3.0 Tesla). Planning MR was sequentially implemented every 3 months for separate treatment sites, including the central nervous system (CNS), gynecologic (GYN), head and neck (HN), genitourinary (GU), gastrointestinal (GI), breast, and brachial plexus. Essential protocols and processes were detailed in this report, including clinical workflow, optimized MR-image acquisition protocols, MR-adapted patient setup, strategies to overcome risks and challenges, and an MR-planning quality assurance program. This study retrospectively reviewed simulation site data for all MR-planning sessions performed for EBRT over the past 5 years. RESULTS: From July 2016 to December 2021, 8798 MR-planning sessions were carried out, which corresponds to 25% of all computer tomography (CT) simulations (CT-planning) performed during the same period at our institution. There was a progressive rise from 80 MR-planning sessions in 2016 to 1126 in 2017, 1492 in 2018, 1824 in 2019, 2040 in 2020, and 2236 in 2021. As a result, the relative number of planning MR/CT increased from 3% of all planning sessions in 2016 to 36% in 2021. The most common site of MR-planning was CNS (49%), HN (13%), GYN (12%), GU (12%), and others (8%). CONCLUSION: Detailed clinical processes and protocols of our MR-planning program were presented, which have been improved over more than 5 years of robust experience. Strategies to overcome risks and challenges in the implementation process are highlighted. Our work provides details that can be used by institutions interested in implementing an MR-planning program. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-023-02209-4. BioMed Central 2023-02-07 /pmc/articles/PMC9903411/ /pubmed/36750891 http://dx.doi.org/10.1186/s13014-023-02209-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Moore-Palhares, Daniel
Ho, Ling
Lu, Lin
Chugh, Brige
Vesprini, Danny
Karam, Irene
Soliman, Hany
Symons, Sean
Leung, Eric
Loblaw, Andrew
Myrehaug, Sten
Stanisz, Greg
Sahgal, Arjun
Czarnota, Gregory J.
Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience
title Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience
title_full Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience
title_fullStr Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience
title_full_unstemmed Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience
title_short Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience
title_sort clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903411/
https://www.ncbi.nlm.nih.gov/pubmed/36750891
http://dx.doi.org/10.1186/s13014-023-02209-4
work_keys_str_mv AT moorepalharesdaniel clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT holing clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT lulin clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT chughbrige clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT vesprinidanny clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT karamirene clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT solimanhany clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT symonssean clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT leungeric clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT loblawandrew clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT myrehaugsten clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT staniszgreg clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT sahgalarjun clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience
AT czarnotagregoryj clinicalimplementationofmagneticresonanceimagingsimulationforradiationoncologyplanning5yearexperience