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Perceptual training to improve hip fracture identification in conventional radiographs

Diagnosing certain fractures in conventional radiographs can be a difficult task, usually taking years to master. Typically, students are trained ad-hoc, in a primarily-rule based fashion. Our study investigated whether students can more rapidly learn to diagnose proximal neck of femur fractures via...

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Autores principales: Chen, Weijia, HolcDorf, David, McCusker, Mark W., Gaillard, Frank, Howe, Piers D. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739398/
https://www.ncbi.nlm.nih.gov/pubmed/29267344
http://dx.doi.org/10.1371/journal.pone.0189192
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author Chen, Weijia
HolcDorf, David
McCusker, Mark W.
Gaillard, Frank
Howe, Piers D. L.
author_facet Chen, Weijia
HolcDorf, David
McCusker, Mark W.
Gaillard, Frank
Howe, Piers D. L.
author_sort Chen, Weijia
collection PubMed
description Diagnosing certain fractures in conventional radiographs can be a difficult task, usually taking years to master. Typically, students are trained ad-hoc, in a primarily-rule based fashion. Our study investigated whether students can more rapidly learn to diagnose proximal neck of femur fractures via perceptual training, without having to learn an explicit set of rules. One hundred and thirty-nine students with no prior medical or radiology training were shown a sequence of plain film X-ray images of the right hip and for each image were asked to indicate whether a fracture was present. Students were told if they were correct and the location of any fracture, if present. No other feedback was given. The more able students achieved the same level of accuracy as board certified radiologists at identifying hip fractures in less than an hour of training. Surprisingly, perceptual learning was reduced when the training set was constructed to over-represent the types of images participants found more difficult to categorise. Conversely, repeating training images did not reduce post-training performance relative to showing an equivalent number of unique images. Perceptual training is an effective way of helping novices learn to identify hip fractures in X-ray images and should supplement the current education programme for students.
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spelling pubmed-57393982018-01-10 Perceptual training to improve hip fracture identification in conventional radiographs Chen, Weijia HolcDorf, David McCusker, Mark W. Gaillard, Frank Howe, Piers D. L. PLoS One Research Article Diagnosing certain fractures in conventional radiographs can be a difficult task, usually taking years to master. Typically, students are trained ad-hoc, in a primarily-rule based fashion. Our study investigated whether students can more rapidly learn to diagnose proximal neck of femur fractures via perceptual training, without having to learn an explicit set of rules. One hundred and thirty-nine students with no prior medical or radiology training were shown a sequence of plain film X-ray images of the right hip and for each image were asked to indicate whether a fracture was present. Students were told if they were correct and the location of any fracture, if present. No other feedback was given. The more able students achieved the same level of accuracy as board certified radiologists at identifying hip fractures in less than an hour of training. Surprisingly, perceptual learning was reduced when the training set was constructed to over-represent the types of images participants found more difficult to categorise. Conversely, repeating training images did not reduce post-training performance relative to showing an equivalent number of unique images. Perceptual training is an effective way of helping novices learn to identify hip fractures in X-ray images and should supplement the current education programme for students. Public Library of Science 2017-12-21 /pmc/articles/PMC5739398/ /pubmed/29267344 http://dx.doi.org/10.1371/journal.pone.0189192 Text en © 2017 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Weijia
HolcDorf, David
McCusker, Mark W.
Gaillard, Frank
Howe, Piers D. L.
Perceptual training to improve hip fracture identification in conventional radiographs
title Perceptual training to improve hip fracture identification in conventional radiographs
title_full Perceptual training to improve hip fracture identification in conventional radiographs
title_fullStr Perceptual training to improve hip fracture identification in conventional radiographs
title_full_unstemmed Perceptual training to improve hip fracture identification in conventional radiographs
title_short Perceptual training to improve hip fracture identification in conventional radiographs
title_sort perceptual training to improve hip fracture identification in conventional radiographs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739398/
https://www.ncbi.nlm.nih.gov/pubmed/29267344
http://dx.doi.org/10.1371/journal.pone.0189192
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