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European Radiology
Published in: European Radiology 9/2022

29-03-2022 | Magnetic Resonance Imaging | Editorial

Decision curve analysis in the evaluation of radiology research

Authors: Andrew J. Vickers, Sungmin Woo

Published in: European Radiology | Issue 9/2022

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Excerpt

The radiology literature consists primarily of diagnostic and prognostic studies. Here, we discuss recent developments in the statistical analysis of such studies. These shift the focus from evaluating the accuracy of an imaging test or prediction model to evaluating outcomes and decision-making. …
Literature
1.
Woo S, Atun R, Ward ZJ, Scott AM, Hricak H, Vargas HA (2020) Diagnostic performance of conventional and advanced imaging modalities for assessing newly diagnosed cervical cancer: systematic review and meta-analysis. Eur Radiol 30:5560–5577CrossRef
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Li C, Yang S, Hua K (2021) Nomogram predicting parametrial involvement based on the radical hysterectomy specimens in the early-stage cervical cancer. Front Surg 8:759026CrossRef
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Vickers AJ, Elkin EB (2006) Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making 26:565–574CrossRef
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Vickers AJ, Van Calster B, Steyerberg EW (2016) Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests. BMJ 352:i6
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Vickers AJ, van Calster B, Steyerberg EW (2019) A simple, step-by-step guide to interpreting decision curve analysis. Diagn Progn Res 3:18CrossRef
Metadata
Title
Decision curve analysis in the evaluation of radiology research
Authors
Andrew J. Vickers
Sungmin Woo
Publication date
29-03-2022
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 9/2022
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-022-08685-8

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