27 October 2017 Comparing search patterns in digital breast tomosynthesis and full-field digital mammography: an eye tracking study
Avi Aizenman, Trafton Drew, Krista A. Ehinger, Dianne Georgian-Smith, Jeremy M. Wolfe
Author Affiliations +
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.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2017/$25.00 © 2017 SPIE
Avi Aizenman, Trafton Drew, Krista A. Ehinger, Dianne Georgian-Smith, and Jeremy M. Wolfe "Comparing search patterns in digital breast tomosynthesis and full-field digital mammography: an eye tracking study," Journal of Medical Imaging 4(4), 045501 (27 October 2017). https://doi.org/10.1117/1.JMI.4.4.045501
Received: 10 August 2017; Accepted: 2 October 2017; Published: 27 October 2017
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CITATIONS
Cited by 22 scholarly publications.
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KEYWORDS
Digital breast tomosynthesis

Eye

Lung

Computed tomography

Scanners

Breast

Chest

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