@inproceedings{1e182a678ac241b2b1ae26df1d0a1ce1,
title = "Interactive Shape Sonification for Tumor Localization in Breast Cancer Surgery",
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.",
keywords = "Auditory display, Augmented reality, Breast cancer localization, Breast cancer surgery, Computer assisted interventions, Lumpectomy, Shape sonification, Sonification, Surgical sonification",
author = "Laura Sch{\"u}tz and {El Chemaly}, Trishia and Emmanuelle Weber and Doan, {Anh Thien} and Jacqueline Tsai and Christoph Leuze and Bruce Daniel and Nassir Navab",
note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s); 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 ; Conference date: 11-05-2024 Through 16-05-2024",
year = "2024",
month = may,
day = "11",
doi = "10.1145/3613904.3642257",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems",
}