Paper
22 February 2012 Image recognition and consistency of response
Tamara Miner Haygood M.D., John Ryan, Qing Mary Ashley Liu, Roland Bassett, Patrick C. Brennan
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Abstract
Purpose: To investigate the connection between conscious recognition of an image previously encountered in an experimental setting and consistency of response to the experimental question.
Materials and Methods: Twenty-four radiologists viewed 40 frontal chest radiographs and gave their opinion as to the position of a central venous catheter. One-to-three days later they again viewed 40 frontal chest radiographs and again gave their opinion as to the position of the central venous catheter. Half of the radiographs in the second set were repeated images from the first set and half were new. The radiologists were asked of each image whether it had been included in the first set. For this study, we are evaluating only the 20 repeated images. We used the Kruskal-Wallis test and Fisher's exact test to determine the relationship between conscious recognition of a previously interpreted image and consistency in interpretation of the image.
Results. There was no significant correlation between recognition of the image and consistency in response regarding the position of the central venous catheter. In fact, there was a trend in the opposite direction, with radiologists being slightly more likely to give a consistent response with respect to images they did not recognize than with respect to those they did recognize.
Conclusion: Radiologists' recognition of previously-encountered images in an observer-performance study does not noticeably color their interpretation on the second encounter.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tamara Miner Haygood M.D., John Ryan, Qing Mary Ashley Liu, Roland Bassett, and Patrick C. Brennan "Image recognition and consistency of response", Proc. SPIE 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, 83180G (22 February 2012); https://doi.org/10.1117/12.913646
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Chest imaging

Scalable video coding

Radiography

Veins

Medical imaging

Photography

Cancer

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