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

Authors :
Jeremiah de Leon
Amanda Woods
Tania Twentyman
Michael Meade
Vicki Sproule
Smitha Chandran
Joseph Christiansen
Neil Kennedy
Maria Marney
Kris Barooshian
Michael Plit
Jayd Lynch
Raj Jagavkar
Helen Ormandy
John Christodouleas
Florian Pietzsch
Michael Chan
Michael G Jameson
Source :
Clinical and Translational Radiation Oncology, Vol 31, Iss , Pp 64-70 (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

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.

Details

Language :
English
ISSN :
24056308
Volume :
31
Issue :
64-70
Database :
Directory of Open Access Journals
Journal :
Clinical and Translational Radiation Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.0a826af282064213821d44a372e54bdc
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ctro.2021.09.004