Literature DB >> 2521130

Searching for lung nodules. Visual dwell indicates locations of false-positive and false-negative decisions.

H L Kundel1, C F Nodine, E A Krupinski.   

Abstract

Eye position recordings made while radiologists searched chest images for lung nodules showed that regions falsely reported positive or suspicious received prolonged visual attention. Correlation of regional fixation dwell time with independent ratings of image features indicated that more than 90% of false-positive decisions were caused by some perturbation in the image that aroused the suspicion of the viewer. The remainder apparently arose from within the viewer. Most missed nodules (false-negative reports) also received prolonged visual attention, implying an active decision not to perceive a nodule. The data are interpreted to show that roughly one task-related decision is made during each second of scanning a radiograph. This departs from the central assumption of the traditional signal-detection model based upon one decision per image.

Entities:  

Mesh:

Year:  1989        PMID: 2521130

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  28 in total

1.  Conceptual approach for the design of radiology reporting interfaces: the talking template.

Authors:  Chris L Sistrom
Journal:  J Digit Imaging       Date:  2005-09       Impact factor: 4.056

2.  Characterization of radiologists' search strategies for lung nodule detection: slice-based versus volumetric displays.

Authors:  Xiao Hui Wang; Janet E Durick; Amy Lu; David L Herbert; Saraswathi K Golla; Kristin Foley; C Samia Piracha; Dilip D Shinde; Betty E Shindel; Carl R Fuhrman; Cynthia A Britton; Diane C Strollo; Sherry S Shang; Joan M Lacomis; Walter F Good
Journal:  J Digit Imaging       Date:  2007-09-15       Impact factor: 4.056

3.  Model for the detection of signals in images with multiple suspicious locations.

Authors:  Lucreţiu M Popescu
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

4.  Visualising scanning patterns of pathologists in the grading of cervical intraepithelial neoplasia.

Authors:  E S M Tiersma; A A W Peters; H A Mooij; G J Fleuren
Journal:  J Clin Pathol       Date:  2003-09       Impact factor: 3.411

5.  The Medical Image Perception Society update on key issues for image perception research.

Authors:  Elizabeth A Krupinski; Kevin S Berbaum
Journal:  Radiology       Date:  2009-08-25       Impact factor: 11.105

6.  Scanners and drillers: characterizing expert visual search through volumetric images.

Authors:  Trafton Drew; Melissa Le-Hoa Vo; Alex Olwal; Francine Jacobson; Steven E Seltzer; Jeremy M Wolfe
Journal:  J Vis       Date:  2013-08-06       Impact factor: 2.240

7.  Cognitive processing differences of experts and novices when correlating anatomy and cross-sectional imaging.

Authors:  Lonie R Salkowski; Rosemary Russ
Journal:  J Med Imaging (Bellingham)       Date:  2018-05-18

8.  The Radiologist's Gaze: Mapping Three-Dimensional Visual Search in Computed Tomography of the Abdomen and Pelvis.

Authors:  Linda C Kelahan; Allan Fong; Joseph Blumenthal; Swaminathan Kandaswamy; Raj M Ratwani; Ross W Filice
Journal:  J Digit Imaging       Date:  2019-04       Impact factor: 4.056

Review 9.  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

10.  Small lung cancers: improved detection by use of bone suppression imaging--comparison with dual-energy subtraction chest radiography.

Authors:  Feng Li; Roger Engelmann; Lorenzo L Pesce; Kunio Doi; Charles E Metz; Heber Macmahon
Journal:  Radiology       Date:  2011-09-23       Impact factor: 11.105

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