Presentation
9 March 2023 In vivo quantitative micro-elastography for detection of residual cancer during breast-conserving surgery
Author Affiliations +
Abstract
Quantitative micro-elastography (QME) is a compression-based optical coherence elastography technique that visualizes micro-scale tissue stiffness. Current benchtop QME shows great potential for identifying cancer in excised breast tissue (96% diagnostic accuracy), but cannot image cancer directly in the patients. We present the development of a handheld QME probe to directly image the surgical cavity in vivo during breast-conserving surgery (BCS) and a preliminary clinical demonstration. The results from 21 patients indicate that in vivo QME can identify residual cancer based on the elevated stiffness by directly imaging the surgical cavity, potentially contributing to a more complete cancer excision during BCS.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peijun Gong, Synn Lynn Chin, Wes Allen, Helen Ballal, James Anstie, Lixin Chin, Hina Ismail, Renate Zilkens, Devina Lakhiani, Matthew McCarthy, Qi Fang, Daniel Firth, Kyle Newman, Caleb Thomas, Jiayue Li, Rowan Sanderson, Ken Foo, Chris Yeomans, Benjamin Dessauvagie, Bruce Latham, Christobel Saunders, and Brendan Kennedy "In vivo quantitative micro-elastography for detection of residual cancer during breast-conserving surgery", Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC1236715 (9 March 2023); https://doi.org/10.1117/12.2652919
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KEYWORDS
Cancer

In vivo imaging

Surgery

Breast cancer

Coherence (optics)

Elastography

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