September 2018
Volume 18, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2018
Detecting and localizing prostate lesions within half a second
Author Affiliations
  • Melissa Trevino
    Behavioral Research Program, National Cancer Institute
  • Todd Horowitz
    Behavioral Research Program, National Cancer Institute
  • Ismail Turkbey
    Molecular Imaging Program, National Cancer Institute
  • Peter Choyke
    Molecular Imaging Program, National Cancer Institute
  • Marcin Czarniecki
    Molecular Imaging Program, National Cancer Institute
Journal of Vision September 2018, Vol.18, 654. doi:
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      Melissa Trevino, Todd Horowitz, Ismail Turkbey, Peter Choyke, Marcin Czarniecki; Detecting and localizing prostate lesions within half a second. Journal of Vision 2018;18(10):654.

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      © ARVO (1962-2015); The Authors (2016-present)

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Previous research has shown radiologists can discriminate "abnormal" from "normal" medical images at above-chance levels in a fraction of a second (Carmody, Nodine, & Kundel, 1981; Evans et al., 2013; Evans et al., 2016; Kundel & Nodine, 1975), without necessarily being able to localize the abnormality. This is referred to as gist perception. However, we do not know whether this phenomenon is a general property of expert medical perception or a specific feature of conventional chest radiographs and mammograms. Here we investigated whether radiologists can extract gist from multiparametric magnetic resonance imaging (mpMRI) of the prostate. Stimuli were 100 T2-weighted MRI images of the base, mid and apex regions of the prostate. Lesions (Gleason scores 6-9) were present in 50% of the images. Two groups of participants were tested, radiologists specializing in mpMRI (n = 11) and radiologists not trained in prostate imaging (n = 5). Images were presented for 500 ms, followed by a sector map of the prostate. Participants localized the lesion on the sector map, and then provided a confidence rating. While radiologists specializing in mpMRI performed well above chance at detecting the lesion (d'= 1.1, sd = 0.3), radiologists without prostate training performed at chance level (d'= -0.1, sd = 0.3). Curiously, both groups could localize the lesions above chance. These data extend the phenomenon of gist perception to the mp-MRI domain. Like mammographers, radiologists with prostate training can detect lesions in a glance. Unlike the mammography data, however, localization performance was well above chance, and predicted by detection performance (r = .80), suggesting that there may be enough information available in 500 ms to guide attention to the lesions.

Meeting abstract presented at VSS 2018


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