Using the Malthus programme to predict the recruitment of patients to MR-linac research trials in prostate and lung cancer

Benjamin Sanderson; Alan McWilliam; Corinne Faivre-Finn; Norman Francis Kirkby; Rajesh Jena; Thomas Mee; Ananya Choudhury

doi:10.1016/j.radonc.2016.11.014

Using the Malthus programme to predict the recruitment of patients to MR-linac research trials in prostate and lung cancer

Radiother Oncol. 2017 Jan;122(1):159-162. doi: 10.1016/j.radonc.2016.11.014. Epub 2016 Dec 7.

Authors

Benjamin Sanderson¹, Alan McWilliam², Corinne Faivre-Finn³, Norman Francis Kirkby², Rajesh Jena⁴, Thomas Mee², Ananya Choudhury⁵

Affiliations

¹ Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, UK.
² 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.
³ 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.
⁴ Department of Oncology, Addenbrooke's Hospital, University of Cambridge, UK.
⁵ 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. Electronic address: [email protected].

PMID: 27939554
DOI: 10.1016/j.radonc.2016.11.014

Abstract

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.

Keywords: Demand modelling; MR-linac; Malthus; Viability modelling.

MeSH terms

Biomedical Research / methods*
Evidence-Based Medicine
Humans
Lung Neoplasms / diagnostic imaging*
Magnetic Resonance Imaging*
Male
Particle Accelerators
Patient Selection*
Prostate / diagnostic imaging
Prostatic Neoplasms / diagnostic imaging*
Rectum / diagnostic imaging
United Kingdom

Grants and funding

20465/CRUK_/Cancer Research UK/United Kingdom