Using the Malthus programme to predict the recruitment of patients to MR-linac research trials in prostate and lung cancer. Issue 1 (January 2017)

• Record Type: Journal Article
• Authors: Sanderson, Benjamin; McWilliam, Alan; Faivre-Finn, Corinne; Kirkby, Norman Francis; Jena, Rajesh; Mee, Thomas; Choudhury, Ananya
• Is Part Of: Radiotherapy and oncology. Volume 122:Issue 1(2017:Jan.)
• Page Start: 159
• Page End: 162
• Publication Date: 2017-01
• Subjects: MR-linac -- Malthus -- Viability modelling -- Demand modelling; Oncology -- Periodicals; Radiotherapy -- Periodicals; Tumors -- Periodicals; Medical Oncology -- Periodicals; Neoplasms -- radiotherapy -- Periodicals; Radiotherapy -- Periodicals; Radiothérapie -- Périodiques; Cancérologie -- Périodiques; Tumeurs -- Périodiques; Electronic journals; 616.9940642
• DOI: 10.1016/j.radonc.2016.11.014
• Languages: English
• ISSNs: 0167-8140

Abstract

Summary: In this study, we used evidence-based mathematical modelling to predict the patient cohort for MR-linac to assess its feasibility in a time of austerity. We discuss our results and the implications of evidence-based radiotherapy demand modelling tools such as Malthus on the implementation of new technology and value-based healthcare.