Literature DB >> 35197796

Melanoma in the Blink of an Eye: Pathologists' Rapid Detection, Classification, and Localization of Skin Abnormalities.

Tad T Brunyé1, Trafton Drew2, Manob Jyoti Saikia1, Kathleen F Kerr3, Megan M Eguchi3, Annie C Lee4, Caitlin May5, David E Elder6, Joann G Elmore4.   

Abstract

Expert radiologists can quickly extract a basic "gist" understanding of a medical image following less than a second exposure, leading to above-chance diagnostic classification of images. Most of this work has focused on radiology tasks (such as screening mammography), and it is currently unclear whether this pattern of results and the nature of visual expertise underlying this ability are applicable to pathology, another medical imaging domain demanding visual diagnostic interpretation. To further characterize the detection, localization, and diagnosis of medical images, this study examined eye movements and diagnostic decision-making when pathologists were briefly exposed to digital whole slide images of melanocytic skin biopsies. Twelve resident (N = 5), fellow (N = 5), and attending pathologists (N = 2) with experience interpreting dermatopathology briefly viewed 48 cases presented for 500 ms each, and we tracked their eye movements towards histological abnormalities, their ability to classify images as containing or not containing invasive melanoma, and their ability to localize critical image regions. Results demonstrated rapid shifts of the eyes towards critical abnormalities during image viewing, high diagnostic sensitivity and specificity, and a surprisingly accurate ability to localize critical diagnostic image regions. Furthermore, when pathologists fixated critical regions with their eyes, they were subsequently much more likely to successfully localize that region on an outline of the image. Results are discussed relative to models of medical image interpretation and innovative methods for monitoring and assessing expertise development during medical education and training.

Entities:  

Keywords:  Eye tracking; diagnostic accuracy; digital pathology; interpretive behavior; visual search

Year:  2021        PMID: 35197796      PMCID: PMC8863358          DOI: 10.1080/13506285.2021.1943093

Source DB:  PubMed          Journal:  Vis cogn        ISSN: 1350-6285


  43 in total

1.  Eye-movement study and human performance using telepathology virtual slides: implications for medical education and differences with experience.

Authors:  Elizabeth A Krupinski; Allison A Tillack; Lynne Richter; Jeffrey T Henderson; Achyut K Bhattacharyya; Katherine M Scott; Anna R Graham; Michael R Descour; John R Davis; Ronald S Weinstein
Journal:  Hum Pathol       Date:  2006-12       Impact factor: 3.466

2.  Occurrence of human express saccades depends on stimulus uncertainty and stimulus sequence.

Authors:  M Jüttner; W Wolf
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

3.  Holistic component of image perception in mammogram interpretation: gaze-tracking study.

Authors:  Harold L Kundel; Calvin F Nodine; Emily F Conant; Susan P Weinstein
Journal:  Radiology       Date:  2007-02       Impact factor: 11.105

4.  Speed of processing in the human visual system.

Authors:  S Thorpe; D Fize; C Marlot
Journal:  Nature       Date:  1996-06-06       Impact factor: 49.962

Review 5.  Informatics in radiology: what can you see in a single glance and how might this guide visual search in medical images?

Authors:  Trafton Drew; Karla Evans; Melissa L-H Võ; Francine L Jacobson; Jeremy M Wolfe
Journal:  Radiographics       Date:  2012-10-25       Impact factor: 5.333

6.  Lung lesions: correlation between viewing time and detection.

Authors:  J W Oestmann; R Greene; D C Kushner; P M Bourgouin; L Linetsky; H J Llewellyn
Journal:  Radiology       Date:  1988-02       Impact factor: 11.105

7.  The thinking doctor: clinical decision making in contemporary medicine.

Authors:  Michael Trimble; Paul Hamilton
Journal:  Clin Med (Lond)       Date:  2016-08       Impact factor: 2.659

8.  A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.

Authors:  Adam Yala; Constance Lehman; Tal Schuster; Tally Portnoi; Regina Barzilay
Journal:  Radiology       Date:  2019-05-07       Impact factor: 11.105

9.  The invisible gorilla strikes again: sustained inattentional blindness in expert observers.

Authors:  Trafton Drew; Melissa L-H Võ; Jeremy M Wolfe
Journal:  Psychol Sci       Date:  2013-07-17

10.  pROC: an open-source package for R and S+ to analyze and compare ROC curves.

Authors:  Xavier Robin; Natacha Turck; Alexandre Hainard; Natalia Tiberti; Frédérique Lisacek; Jean-Charles Sanchez; Markus Müller
Journal:  BMC Bioinformatics       Date:  2011-03-17       Impact factor: 3.307

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  1 in total

1.  The Oddity Detection in Diverse Scenes (ODDS) database: Validated real-world scenes for studying anomaly detection.

Authors:  Michael C Hout; Megan H Papesh; Saleem Masadeh; Hailey Sandin; Stephen C Walenchok; Phillip Post; Jessica Madrid; Bryan White; Juan D Guevara Pinto; Julian Welsh; Dre Goode; Rebecca Skulsky; Mariana Cazares Rodriguez
Journal:  Behav Res Methods       Date:  2022-03-30
  1 in total

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