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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-8495756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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