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Diagnostic Accuracy Studies in Radiology: How to Recognize and Address Potential Sources of Bias

Accuracy is an important parameter of a diagnostic test. Studies that attempt to determine a test's accuracy can suffer from various forms of bias. As radiology is a diagnostic specialty, many radiologists may design a diagnostic accuracy study or review one to understand how it may apply to th...

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Detalles Bibliográficos
Autores principales: Pavlou, Athanasios, Kurtz, Robert M., Song, Jae W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440098/
https://www.ncbi.nlm.nih.gov/pubmed/34532141
http://dx.doi.org/10.1155/2021/5801662
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author Pavlou, Athanasios
Kurtz, Robert M.
Song, Jae W.
author_facet Pavlou, Athanasios
Kurtz, Robert M.
Song, Jae W.
author_sort Pavlou, Athanasios
collection PubMed
description Accuracy is an important parameter of a diagnostic test. Studies that attempt to determine a test's accuracy can suffer from various forms of bias. As radiology is a diagnostic specialty, many radiologists may design a diagnostic accuracy study or review one to understand how it may apply to their practice. Radiologists also frequently serve as consultants to other physicians regarding the selection of the most appropriate diagnostic exams. In these roles, understanding how to critically appraise the literature is important for all radiologists. The purpose of this review is to provide a framework for evaluating potential sources of study design biases that are found in diagnostic accuracy studies and to explain their impact on sensitivity and specificity estimates. To help the reader understand these biases, we also present examples from the radiology literature.
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spelling pubmed-84400982021-09-15 Diagnostic Accuracy Studies in Radiology: How to Recognize and Address Potential Sources of Bias Pavlou, Athanasios Kurtz, Robert M. Song, Jae W. Radiol Res Pract Review Article Accuracy is an important parameter of a diagnostic test. Studies that attempt to determine a test's accuracy can suffer from various forms of bias. As radiology is a diagnostic specialty, many radiologists may design a diagnostic accuracy study or review one to understand how it may apply to their practice. Radiologists also frequently serve as consultants to other physicians regarding the selection of the most appropriate diagnostic exams. In these roles, understanding how to critically appraise the literature is important for all radiologists. The purpose of this review is to provide a framework for evaluating potential sources of study design biases that are found in diagnostic accuracy studies and to explain their impact on sensitivity and specificity estimates. To help the reader understand these biases, we also present examples from the radiology literature. Hindawi 2021-09-06 /pmc/articles/PMC8440098/ /pubmed/34532141 http://dx.doi.org/10.1155/2021/5801662 Text en Copyright © 2021 Athanasios Pavlou et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Pavlou, Athanasios
Kurtz, Robert M.
Song, Jae W.
Diagnostic Accuracy Studies in Radiology: How to Recognize and Address Potential Sources of Bias
title Diagnostic Accuracy Studies in Radiology: How to Recognize and Address Potential Sources of Bias
title_full Diagnostic Accuracy Studies in Radiology: How to Recognize and Address Potential Sources of Bias
title_fullStr Diagnostic Accuracy Studies in Radiology: How to Recognize and Address Potential Sources of Bias
title_full_unstemmed Diagnostic Accuracy Studies in Radiology: How to Recognize and Address Potential Sources of Bias
title_short Diagnostic Accuracy Studies in Radiology: How to Recognize and Address Potential Sources of Bias
title_sort diagnostic accuracy studies in radiology: how to recognize and address potential sources of bias
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440098/
https://www.ncbi.nlm.nih.gov/pubmed/34532141
http://dx.doi.org/10.1155/2021/5801662
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