Interactive Shape Sonification for Tumor Localization in Breast Cancer Surgery

Laura Schütz, Trishia El Chemaly, Emmanuelle Weber, Anh Thien Doan, Jacqueline Tsai, Christoph Leuze, Bruce Daniel, Nassir Navab

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

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.

OriginalspracheEnglisch
TitelCHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems
Herausgeber (Verlag)Association for Computing Machinery
ISBN (elektronisch)9798400703300
DOIs
PublikationsstatusVeröffentlicht - 11 Mai 2024
Veranstaltung2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 - Hybrid, Honolulu, USA/Vereinigte Staaten
Dauer: 11 Mai 202416 Mai 2024

Publikationsreihe

NameConference on Human Factors in Computing Systems - Proceedings

Konferenz

Konferenz2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
Land/GebietUSA/Vereinigte Staaten
OrtHybrid, Honolulu
Zeitraum11/05/2416/05/24

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