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Analysis of data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL)

BACKGROUND: Analysis of Data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL) is a multi-site, multinational, observational cohort registry designed to collect data on the use of the magnetic resonance linear accelerator (MR-Linac) for radiation therapy and patient outcomes. The registry wi...

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Autores principales: de Leon, Jeremiah, Woods, Amanda, Twentyman, Tania, Meade, Michael, Sproule, Vicki, Chandran, Smitha, Christiansen, Joseph, Kennedy, Neil, Marney, Maria, Barooshian, Kris, Plit, Michael, Lynch, Jayd, Jagavkar, Raj, Ormandy, Helen, Christodouleas, John, Pietzsch, Florian, Chan, Michael, Jameson, Michael G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495756/
https://www.ncbi.nlm.nih.gov/pubmed/34646950
http://dx.doi.org/10.1016/j.ctro.2021.09.004
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author de Leon, Jeremiah
Woods, Amanda
Twentyman, Tania
Meade, Michael
Sproule, Vicki
Chandran, Smitha
Christiansen, Joseph
Kennedy, Neil
Marney, Maria
Barooshian, Kris
Plit, Michael
Lynch, Jayd
Jagavkar, Raj
Ormandy, Helen
Christodouleas, John
Pietzsch, Florian
Chan, Michael
Jameson, Michael G
author_facet de Leon, Jeremiah
Woods, Amanda
Twentyman, Tania
Meade, Michael
Sproule, Vicki
Chandran, Smitha
Christiansen, Joseph
Kennedy, Neil
Marney, Maria
Barooshian, Kris
Plit, Michael
Lynch, Jayd
Jagavkar, Raj
Ormandy, Helen
Christodouleas, John
Pietzsch, Florian
Chan, Michael
Jameson, Michael G
author_sort de Leon, Jeremiah
collection PubMed
description BACKGROUND: Analysis of Data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL) is a multi-site, multinational, observational cohort registry designed to collect data on the use of the magnetic resonance linear accelerator (MR-Linac) for radiation therapy and patient outcomes. The registry will provide a linked repository of technical and clinical data that will form a platform for prospective studies and technology assessment. METHODS: Design: This registry aims to include an estimated 10,000 eligible participants across Australia and other countries over a 7- to 10-year period. Participants will undergo treatment and assessments in accordance with standard practice. Toxicity and survival outcomes will be assessed at baseline, during treatment, and with 3 monthly follow-up until 24 months, patient reported outcome measures will also be collected. Participants with a variety of cancers will be included. DISCUSSION: Data obtained from the ADAPT-MRL registry is expected to provide evidence on the safety and efficacy of the MR-Linac, a new technical innovation in radiation oncology. We expect this registry will generate data that will be used to optimise treatment techniques, MR-Linac software algorithms, evaluate participants’ outcomes and toxicities and to create a repository of adapted plans, anatomical and functional MR sequences linked to participants’ outcomes.
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spelling pubmed-84957562021-10-12 Analysis of data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL) de Leon, Jeremiah Woods, Amanda Twentyman, Tania Meade, Michael Sproule, Vicki Chandran, Smitha Christiansen, Joseph Kennedy, Neil Marney, Maria Barooshian, Kris Plit, Michael Lynch, Jayd Jagavkar, Raj Ormandy, Helen Christodouleas, John Pietzsch, Florian Chan, Michael Jameson, Michael G Clin Transl Radiat Oncol Original Research Article BACKGROUND: Analysis of Data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL) is a multi-site, multinational, observational cohort registry designed to collect data on the use of the magnetic resonance linear accelerator (MR-Linac) for radiation therapy and patient outcomes. The registry will provide a linked repository of technical and clinical data that will form a platform for prospective studies and technology assessment. METHODS: Design: This registry aims to include an estimated 10,000 eligible participants across Australia and other countries over a 7- to 10-year period. Participants will undergo treatment and assessments in accordance with standard practice. Toxicity and survival outcomes will be assessed at baseline, during treatment, and with 3 monthly follow-up until 24 months, patient reported outcome measures will also be collected. Participants with a variety of cancers will be included. DISCUSSION: Data obtained from the ADAPT-MRL registry is expected to provide evidence on the safety and efficacy of the MR-Linac, a new technical innovation in radiation oncology. We expect this registry will generate data that will be used to optimise treatment techniques, MR-Linac software algorithms, evaluate participants’ outcomes and toxicities and to create a repository of adapted plans, anatomical and functional MR sequences linked to participants’ outcomes. Elsevier 2021-09-20 /pmc/articles/PMC8495756/ /pubmed/34646950 http://dx.doi.org/10.1016/j.ctro.2021.09.004 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
de Leon, Jeremiah
Woods, Amanda
Twentyman, Tania
Meade, Michael
Sproule, Vicki
Chandran, Smitha
Christiansen, Joseph
Kennedy, Neil
Marney, Maria
Barooshian, Kris
Plit, Michael
Lynch, Jayd
Jagavkar, Raj
Ormandy, Helen
Christodouleas, John
Pietzsch, Florian
Chan, Michael
Jameson, Michael G
Analysis of data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL)
title Analysis of data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL)
title_full Analysis of data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL)
title_fullStr Analysis of data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL)
title_full_unstemmed Analysis of data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL)
title_short Analysis of data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL)
title_sort analysis of data to advance personalised therapy with mr-linac (adapt-mrl)
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495756/
https://www.ncbi.nlm.nih.gov/pubmed/34646950
http://dx.doi.org/10.1016/j.ctro.2021.09.004
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