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

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Using the Malthus programme to predict the recruitment of patients to MR-linac research trials in prostate and lung cancer. / Sanderson, Benjamin; Mcwilliam, Alan; Faivre-Finn, Corinne; Kirkby, Norman; Jena, Rajesh; Mee, Thomas; Choudhury, Ananya.

In: Radiotherapy and Oncology, Vol. 122, No. 1, 01.01.2017, p. 159-162.

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@article{0a3a583828a340a1825d5aa075b74012,
title = "Using the Malthus programme to predict the recruitment of patients to MR-linac research trials in prostate and lung cancer",
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, Malthus, MR-linac, Viability modelling",
author = "Benjamin Sanderson and Alan Mcwilliam and Corinne Faivre-Finn and Norman Kirkby and Rajesh Jena and Thomas Mee and Ananya Choudhury",
year = "2017",
month = jan,
day = "1",
doi = "10.1016/j.radonc.2016.11.014",
language = "English",
volume = "122",
pages = "159--162",
journal = "Radiotherapy & Oncology",
issn = "0167-8140",
publisher = "Elsevier BV",
number = "1",

}

RIS

TY - JOUR

T1 - Using the Malthus programme to predict the recruitment of patients to MR-linac research trials in prostate and lung cancer

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 - http://www.scopus.com/inward/record.url?scp=85007591435&partnerID=8YFLogxK

U2 - 10.1016/j.radonc.2016.11.014

DO - 10.1016/j.radonc.2016.11.014

M3 - Article

AN - SCOPUS:85007591435

VL - 122

SP - 159

EP - 162

JO - Radiotherapy & Oncology

JF - Radiotherapy & Oncology

SN - 0167-8140

IS - 1

ER -