Comparing experts to novices: reduced satisfaction of search when searching with virtual breast tomosynthesis

Stephen H. Adamo; Bruno Barufaldi; Miguel Lago

doi:10.1117/12.2654351

3 April 2023 Comparing experts to novices: reduced satisfaction of search when searching with virtual breast tomosynthesis

Stephen H. Adamo, Bruno Barufaldi, Miguel Lago

Author Affiliations +

Proceedings Volume 12467, Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment; 1246703 (2023) https://doi.org/10.1117/12.2654351
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Abstract

Satisfaction of Search (SOS), an increased likelihood of missing a lesion/target when another lesion/target was already detected in the same image, is a known search problem in medical image perception and cognitive science. Currently, it is unknown the extent to which SOS affects lesion detection in breast imaging. Here we investigated SOS rates with novices (college undergraduates) and experts (residents, fellows, and certified radiologists) in virtual (computer-generated) tomograms. The virtual images were created with the OpenVCT framework simulating the breast anatomy of patients and could contain zero, one, or two masses. Participants were asked to search and click on up to two masses per image. When compared to novices, experts: 1) made fewer false alarms (experts 19.5%, novices 29.1%; marginally significant effect), 2) were better in correct rejections (experts 76.7%, novices 44.5%), and 3) made fewer SOS errors (experts 14.2%, novices 30.7%). These findings are the first to demonstrate the SOS effect in breast imaging and emphasize the importance of expertise in breast cancer detection.

Conference Presentation

Citation Download Citation

Stephen H. Adamo, Bruno Barufaldi, and Miguel Lago "Comparing experts to novices: reduced satisfaction of search when searching with virtual breast tomosynthesis", Proc. SPIE 12467, Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment, 1246703 (3 April 2023); https://doi.org/10.1117/12.2654351

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