Finding cancer in mammograms : if you know it’s there, do you know where?
Journal article
Carrigan, Ann, Wardle, Susan G. and Rich, Anina N.. (2018). Finding cancer in mammograms : if you know it’s there, do you know where? Cognitive Research: Principles and Implications. 3(10), pp. 1-14. https://doi.org/10.1186/s41235-018-0096-5
Authors | Carrigan, Ann, Wardle, Susan G. and Rich, Anina N. |
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Abstract | Humans can extract considerable information from scenes, even when these are presented extremely quickly. The ability of an experienced radiologist to rapidly detect an abnormality on a mammogram may build upon this general capacity. Although radiologists have been shown to be able to detect an abnormality ‘above chance’ at short durations, the extent to which abnormalities can be localised at brief presentations is less clear. Extending previous work, we presented radiologists with unilateral mammograms, 50% containing a mass, for 250 or 1000 ms. As the female breast varies with respect to the level of normal fibroglandular tissue, the images were categorised into high and low density (50% of each), resulting in difficult and easy searches, respectively. Participants were asked to decide whether there was an abnormality (detection) and then to locate the mass on a blank outline of the mammogram (localisation). We found both detection and localisation information for all conditions. Although there may be a dissociation between detection and localisation on a small proportion of trials, we find a number of factors that lead to the underestimation of localisation including stimulus variability, response imprecision and participant guesses. We emphasise the importance of taking these factors into account when interpreting results. The effect of density on detection and localisation highlights the importance of considering breast density in medical screening. |
Keywords | Visual search; Medical imaging; Global processing; Breast density; Target detection; Target localisation |
Year | 01 Jan 2018 |
Journal | Cognitive Research: Principles and Implications |
Journal citation | 3 (10), pp. 1-14 |
Publisher | SpringerOpen |
ISSN | 2365-7464 |
Digital Object Identifier (DOI) | https://doi.org/10.1186/s41235-018-0096-5 |
Web address (URL) | https://cognitiveresearchjournal.springeropen.com/articles/10.1186/s41235-018-0096-5 |
Open access | Open access |
Research or scholarly | Research |
Page range | 1-14 |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 18 Apr 2018 |
Publication process dates | |
Accepted | 27 Feb 2018 |
Deposited | 01 Oct 2024 |
Additional information | © The Author(s). 2018 |
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | |
Place of publication | United Kingdom |
https://acuresearchbank.acu.edu.au/item/90yvx/finding-cancer-in-mammograms-if-you-know-it-s-there-do-you-know-where
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Publisher's version
OA_Carrigan_2024_Finding_cancer_in_mammograms_if_you.pdf | |
License: CC BY 4.0 | |
File access level: Open |
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