Perceptual training to improve hip fracture identification in conventional radiographs

Weijia Chen, David HolcDorf, Mark W McCusker, Frank Gaillard and Piers D L Howe

PLOS ONE, 2017, vol. 12, issue 12, 1-11

Abstract: 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.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0189192

DOI: 10.1371/journal.pone.0189192

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