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Comparable prediction of breast cancer risk from a glimpse or a first impression of a mammogram.
Raat, E M; Farr, I; Wolfe, J M; Evans, K K.
  • Raat EM; University of York, Heslington, York, YO10 5DD, UK. emr554@york.ac.uk.
  • Farr I; University of York, Heslington, York, YO10 5DD, UK.
  • Wolfe JM; Harvard Medical School/Brigham and Women's Hospital, Boston, USA.
  • Evans KK; University of York, Heslington, York, YO10 5DD, UK.
Cogn Res Princ Implic ; 6(1): 72, 2021 11 06.
Article en En | MEDLINE | ID: mdl-34743266
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Año: 2021 Tipo del documento: Article