Literature DB >> 29098168

Comparing search patterns in digital breast tomosynthesis and full-field digital mammography: an eye tracking study.

Avi Aizenman1, Trafton Drew2, Krista A Ehinger3, Dianne Georgian-Smith4, Jeremy M Wolfe4,5.   

Abstract

As a promising imaging modality, digital breast tomosynthesis (DBT) leads to better diagnostic performance than traditional full-field digital mammograms (FFDM) alone. DBT allows different planes of the breast to be visualized, reducing occlusion from overlapping tissue. Although DBT is gaining popularity, best practices for search strategies in this medium are unclear. Eye tracking allowed us to describe search patterns adopted by radiologists searching DBT and FFDM images. Eleven radiologists examined eight DBT and FFDM cases. Observers marked suspicious masses with mouse clicks. Eye position was recorded at 1000 Hz and was coregistered with slice/depth plane as the radiologist scrolled through the DBT images, allowing a 3-D representation of eye position. Hit rate for masses was higher for tomography cases than 2-D cases and DBT led to lower false positive rates. However, search duration was much longer for DBT cases than FFDM. DBT was associated with longer fixations but similar saccadic amplitude compared with FFDM. When comparing radiologists' eye movements to a previous study, which tracked eye movements as radiologists read chest CT, we found DBT viewers did not align with previously identified "driller" or "scanner" strategies, although their search strategy most closely aligns with a type of vigorous drilling strategy.

Entities:  

Keywords:  eye tracking; mammography; perception; tomography

Year:  2017        PMID: 29098168      PMCID: PMC5658515          DOI: 10.1117/1.JMI.4.4.045501

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  32 in total

1.  How experience and training influence mammography expertise.

Authors:  C F Nodine; H L Kundel; C Mello-Thoms; S P Weinstein; S G Orel; D C Sullivan; E F Conant
Journal:  Acad Radiol       Date:  1999-10       Impact factor: 3.173

2.  Two-view and single-view tomosynthesis versus full-field digital mammography: high-resolution X-ray imaging observer study.

Authors:  Matthew G Wallis; Elin Moa; Federica Zanca; Karin Leifland; Mats Danielsson
Journal:  Radiology       Date:  2012-01-24       Impact factor: 11.105

3.  Digital Breast Tomosynthesis: State of the Art.

Authors:  Srinivasan Vedantham; Andrew Karellas; Gopal R Vijayaraghavan; Daniel B Kopans
Journal:  Radiology       Date:  2015-12       Impact factor: 11.105

4.  Thin-section CT of the lungs: eye-tracking analysis of the visual approach to reading tiled and stacked display formats.

Authors:  S M Ellis; X Hu; L Dempere-Marco; G Z Yang; A U Wells; D M Hansell
Journal:  Eur J Radiol       Date:  2006-07-10       Impact factor: 3.528

5.  Digital breast tomosynthesis: observer performance study.

Authors:  David Gur; Gordon S Abrams; Denise M Chough; Marie A Ganott; Christiane M Hakim; Ronald L Perrin; Grace Y Rathfon; Jules H Sumkin; Margarita L Zuley; Andriy I Bandos
Journal:  AJR Am J Roentgenol       Date:  2009-08       Impact factor: 3.959

6.  Role of faulty visual search in the satisfaction of search effect in chest radiography.

Authors:  K S Berbaum; E A Franken; D D Dorfman; E M Miller; R T Caldwell; D M Kuehn; M L Berbaum
Journal:  Acad Radiol       Date:  1998-01       Impact factor: 3.173

7.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

8.  People are unable to recognize or report on their own eye movements.

Authors:  Alasdair D F Clarke; Aoife Mahon; Alex Irvine; Amelia R Hunt
Journal:  Q J Exp Psychol (Hove)       Date:  2016-10-13       Impact factor: 2.143

Review 9.  Optimizing analysis, visualization, and navigation of large image data sets: one 5000-section CT scan can ruin your whole day.

Authors:  Katherine P Andriole; Jeremy M Wolfe; Ramin Khorasani; S Ted Treves; David J Getty; Francine L Jacobson; Michael L Steigner; John J Pan; Arkadiusz Sitek; Steven E Seltzer
Journal:  Radiology       Date:  2011-05       Impact factor: 11.105

10.  Time to diagnosis and performance levels during repeat interpretations of digital breast tomosynthesis: preliminary observations.

Authors:  Margarita L Zuley; Andriy I Bandos; Gordon S Abrams; Cathy Cohen; Christiane M Hakim; Jules H Sumkin; John Drescher; Howard E Rockette; David Gur
Journal:  Acad Radiol       Date:  2009-12-29       Impact factor: 3.173

View more
  13 in total

1.  Reward learning biases the direction of saccades.

Authors:  Ming-Ray Liao; Brian A Anderson
Journal:  Cognition       Date:  2019-11-27

2.  Measurement of the useful field of view for single slices of different imaging modalities and targets.

Authors:  Miguel A Lago; Ioannis Sechopoulos; François O Bochud; Miguel P Eckstein
Journal:  J Med Imaging (Bellingham)       Date:  2020-02-08

3.  Visual search in breast imaging.

Authors:  Ziba Gandomkar; Claudia Mello-Thoms
Journal:  Br J Radiol       Date:  2019-07-18       Impact factor: 3.039

4.  What eye tracking can tell us about how radiologists use automated breast ultrasound.

Authors:  Jeremy M Wolfe; Wanyi Lyu; Jeffrey Dong; Chia-Chien Wu
Journal:  J Med Imaging (Bellingham)       Date:  2022-07-26

Review 5.  Mandating Limits on Workload, Duty, and Speed in Radiology.

Authors:  Robert Alexander; Stephen Waite; Michael A Bruno; Elizabeth A Krupinski; Leonard Berlin; Stephen Macknik; Susana Martinez-Conde
Journal:  Radiology       Date:  2022-06-14       Impact factor: 29.146

6.  Foveated Model Observers for Visual Search in 3D Medical Images.

Authors:  Miguel A Lago; Craig K Abbey; Miguel P Eckstein
Journal:  IEEE Trans Med Imaging       Date:  2021-03-02       Impact factor: 10.048

7.  Characteristics of expert search behavior in volumetric medical image interpretation.

Authors:  Lauren H Williams; Ann J Carrigan; Megan Mills; William F Auffermann; Anina N Rich; Trafton Drew
Journal:  J Med Imaging (Bellingham)       Date:  2021-07-14

8.  Eye tracking: the silver bullet of competency assessment in medical image interpretation?

Authors:  Ellen M Kok
Journal:  Perspect Med Educ       Date:  2019-04

9.  Under-exploration of Three-Dimensional Images Leads to Search Errors for Small Salient Targets.

Authors:  Miguel A Lago; Aditya Jonnalagadda; Craig K Abbey; Bruno B Barufaldi; Predrag R Bakic; Andrew D A Maidment; Winifred K Leung; Susan P Weinstein; Brian S Englander; Miguel P Eckstein
Journal:  Curr Biol       Date:  2021-01-19       Impact factor: 10.834

10.  Using aversive conditioning with near-real-time feedback to shape eye movements during naturalistic viewing.

Authors:  Brian A Anderson
Journal:  Behav Res Methods       Date:  2020-09-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.