Using the Malthus programme to predict the recruitment of patients to MR-linac research trials in prostate and lung cancer.
作者信息
Sanderson Benjamin, McWilliam Alan, Faivre-Finn Corinne, Kirkby Norman Francis, Jena Rajesh, Mee Thomas, Choudhury Ananya
机构信息
Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, UK.
Division of Molecular and Clinical Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, UK; Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
出版信息
Radiother Oncol. 2017 Jan;122(1):159-162. doi: 10.1016/j.radonc.2016.11.014. Epub 2016 Dec 7.
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.
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