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 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

Benjamin Sanderson
, Alan Mcwilliam
, Corinne Faivre-Finn
, Norman Kirkby
, Rajesh Jena
, Thomas Mee
, Ananya Choudhury^*

^*Corresponding author for this work

Division of Cancer Sciences (L5)

Research output: Contribution to journal › Article › peer-review

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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.

Original language	English
Pages (from-to)	159-162
Number of pages	4
Journal	Radiotherapy and Oncology
Volume	122
Issue number	1
Early online date	7 Dec 2016
DOIs	https://doi.org/10.1016/j.radonc.2016.11.014
Publication status	Published - 1 Jan 2017

Keywords

Demand modelling
Malthus
MR-linac
Viability modelling

Research Beacons, Institutes and Platforms

Manchester Cancer Research Centre

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.radonc.2016.11.014

MALTHUS paper (RADION 7027) - Green Journal - Author Approved ManuscriptAccepted author manuscript, 69.5 KB

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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.",

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AU - Sanderson, Benjamin

AU - Mcwilliam, Alan

AU - Faivre-Finn, Corinne

AU - Kirkby, Norman

AU - Jena, Rajesh

AU - Mee, Thomas

AU - Choudhury, Ananya

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

KW - Demand modelling

KW - Malthus

KW - MR-linac

KW - Viability modelling

UR - https://www.scopus.com/pages/publications/85007591435

U2 - 10.1016/j.radonc.2016.11.014

DO - 10.1016/j.radonc.2016.11.014

M3 - Article

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JF - Radiotherapy and Oncology

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ER -

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

Abstract

Keywords

Research Beacons, Institutes and Platforms

UN SDGs

Access to Document

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