Interactive Shape Sonification for Tumor Localization in Breast Cancer Surgery
December 26, 2023 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
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Authors
Laura SchΓΌtz, Trishia El Chemaly, Emmanuelle Weber, Anh Thien Doan, Jacqueline Tsai, Christoph Leuze, Bruce Daniel, Nassir Navab
arXiv ID
2312.16129
Category
cs.HC: Human-Computer Interaction
Citations
5
Venue
International Conference on Human Factors in Computing Systems
Last Checked
4 months ago
Abstract
About 20 percent of patients undergoing breast-conserving surgery require reoperation due to cancerous tissue remaining inside the breast. Breast cancer localization systems utilize auditory feedback to convey the distance between a localization probe and a small marker (seed) implanted into the breast tumor prior to surgery. However, no information on the location of the tumor margin is provided. To reduce the reoperation rate by improving the usability and accuracy of the surgical task, we developed an auditory display using shape sonification to assist with tumor margin localization. Accuracy and usability of the interactive shape sonification were determined on models of the female breast in three user studies with both breast surgeons and non-clinical participants. The comparative studies showed a significant increase in usability (p<0.05) and localization accuracy (p<0.001) of the shape sonification over the auditory feedback currently used in surgery.
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