1. Analysis of data to Advance Personalised Therapy with MR-Linac (ADAPT-MRL)
- Author
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Michael Plit, Michael Meade, Smitha Chandran, Vicki Sproule, Michael G Jameson, Joseph Christiansen, John P. Christodouleas, Neil Kennedy, Michael Chan, Kris Barooshian, Helen Ormandy, Amanda Woods, Jayd Lynch, Florian Pietzsch, Tania Twentyman, Jeremiah de Leon, Maria Marney, and Raj Jagavkar
- Subjects
medicine.medical_specialty ,Registry ,ADAPT-MRL ,medicine.medical_treatment ,R895-920 ,Medical physics. Medical radiology. Nuclear medicine ,Radiation oncology ,medicine ,Radiology, Nuclear Medicine and imaging ,Medical physics ,Original Research Article ,Prospective cohort study ,RC254-282 ,MR-Linac ,Mr linac ,Radiotherapy ,business.industry ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Radiation therapy ,Oncology ,Cohort ,Data analysis ,Patient-reported outcome ,Observational study ,business ,MRI - 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.
- Published
- 2021