Comparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram

Abstract Expert radiologists can discern normal from abnormal mammograms with above-chance accuracy after brief (e.g. 500 ms) exposure. They can even predict cancer risk viewing currently normal images (priors) from women who will later develop cancer. This involves a rapid, global, non-selective pr...

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Autores principales: E. M. Raat, I. Farr, J. M. Wolfe, K. K. Evans
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Lenguaje:EN
Publicado: SpringerOpen 2021
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Acceso en línea:https://doaj.org/article/6166177c594d4b8b86f3012430dfa977
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spelling oai:doaj.org-article:6166177c594d4b8b86f3012430dfa9772021-11-08T11:02:37ZComparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram10.1186/s41235-021-00339-52365-7464https://doaj.org/article/6166177c594d4b8b86f3012430dfa9772021-11-01T00:00:00Zhttps://doi.org/10.1186/s41235-021-00339-5https://doaj.org/toc/2365-7464Abstract Expert radiologists can discern normal from abnormal mammograms with above-chance accuracy after brief (e.g. 500 ms) exposure. They can even predict cancer risk viewing currently normal images (priors) from women who will later develop cancer. This involves a rapid, global, non-selective process called “gist extraction”. It is not yet known whether prolonged exposure can strengthen the gist signal, or if it is available solely in the early exposure. This is of particular interest for the priors that do not contain any localizable signal of abnormality. The current study compared performance with brief (500 ms) or unlimited exposure for four types of mammograms (normal, abnormal, contralateral, priors). Groups of expert radiologists and untrained observers were tested. As expected, radiologists outperformed naïve participants. Replicating prior work, they exceeded chance performance though the gist signal was weak. However, we found no consistent performance differences in radiologists or naïves between timing conditions. Exposure time neither increased nor decreased ability to identify the gist of abnormality or predict cancer risk. If gist signals are to have a place in cancer risk assessments, more efforts should be made to strengthen the signal.E. M. RaatI. FarrJ. M. WolfeK. K. EvansSpringerOpenarticleGistRadiologyMammographyHolistic impressionGestaltConsciousness. CognitionBF309-499ENCognitive Research, Vol 6, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Gist
Radiology
Mammography
Holistic impression
Gestalt
Consciousness. Cognition
BF309-499
spellingShingle Gist
Radiology
Mammography
Holistic impression
Gestalt
Consciousness. Cognition
BF309-499
E. M. Raat
I. Farr
J. M. Wolfe
K. K. Evans
Comparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram
description Abstract Expert radiologists can discern normal from abnormal mammograms with above-chance accuracy after brief (e.g. 500 ms) exposure. They can even predict cancer risk viewing currently normal images (priors) from women who will later develop cancer. This involves a rapid, global, non-selective process called “gist extraction”. It is not yet known whether prolonged exposure can strengthen the gist signal, or if it is available solely in the early exposure. This is of particular interest for the priors that do not contain any localizable signal of abnormality. The current study compared performance with brief (500 ms) or unlimited exposure for four types of mammograms (normal, abnormal, contralateral, priors). Groups of expert radiologists and untrained observers were tested. As expected, radiologists outperformed naïve participants. Replicating prior work, they exceeded chance performance though the gist signal was weak. However, we found no consistent performance differences in radiologists or naïves between timing conditions. Exposure time neither increased nor decreased ability to identify the gist of abnormality or predict cancer risk. If gist signals are to have a place in cancer risk assessments, more efforts should be made to strengthen the signal.
format article
author E. M. Raat
I. Farr
J. M. Wolfe
K. K. Evans
author_facet E. M. Raat
I. Farr
J. M. Wolfe
K. K. Evans
author_sort E. M. Raat
title Comparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram
title_short Comparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram
title_full Comparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram
title_fullStr Comparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram
title_full_unstemmed Comparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram
title_sort comparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/6166177c594d4b8b86f3012430dfa977
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