Finding cancer in mammograms: if you know it's there, do you know where?

Autor: Carrigan AJ; 1Perception in Action Research Centre & Department of Cognitive Science, Macquarie University, Sydney, Australia.; 2ARC Centre of Excellence in Cognition & Its Disorders, Macquarie University, Sydney, Australia.; 3Centre for Elite Performance, Expertise, and Training, Macquarie University, Sydney, Australia., Wardle SG; 1Perception in Action Research Centre & Department of Cognitive Science, Macquarie University, Sydney, Australia.; 2ARC Centre of Excellence in Cognition & Its Disorders, Macquarie University, Sydney, Australia., Rich AN; 1Perception in Action Research Centre & Department of Cognitive Science, Macquarie University, Sydney, Australia.; 2ARC Centre of Excellence in Cognition & Its Disorders, Macquarie University, Sydney, Australia.; 3Centre for Elite Performance, Expertise, and Training, Macquarie University, Sydney, Australia.
Jazyk: angličtina
Zdroj: Cognitive research: principles and implications [Cogn Res Princ Implic] 2018; Vol. 3 (1), pp. 10. Date of Electronic Publication: 2018 Apr 18.
DOI: 10.1186/s41235-018-0096-5
Abstrakt: 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.
Competing Interests: Research was performed in accordance with the Declaration of Helsinki and was approved by Macquarie University Human Research Ethics Committee (Medical Sciences: Reference: 5201400567). Informed consent was obtained from all participants.Not applicable.The authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Databáze: MEDLINE
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