TY - GEN
T1 - Comparing experts to novices
T2 - Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment
AU - Adamo, Stephen H.
AU - Barufaldi, Bruno
AU - Lago, Miguel
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - digital breast tomosynthesis
KW - satisfaction of search
KW - subsequent search misses
KW - visual search
UR - https://www.scopus.com/pages/publications/85160934271
UR - https://www.scopus.com/pages/publications/85160934271#tab=citedBy
U2 - 10.1117/12.2654351
DO - 10.1117/12.2654351
M3 - Conference contribution
AN - SCOPUS:85160934271
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2023
A2 - Mello-Thoms, Claudia R.
A2 - Chen, Yan
PB - SPIE
Y2 - 21 February 2023 through 23 February 2023
ER -