Intraoperative margin assessment in head and neck cancer using label-free fluorescence lifetime imaging, machine learning and visualization

Mark Marsden, Brent W. Weyers, Takanori Fukazawa, Tianchen Sun, Julien Bec, Regina F Gandour-Edwards, Dorina Gui, Andrew Birkeland, Arnaud F. Bewley, Marianne Abouyared, D. Gregory Farwell, Laura Marcu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Accurate cancer margin assessment prior to surgical resection is a key factor influencing the long-term survival of oral and oropharyngeal cancer patients. This leads to the need for additional guidance tools for real-time delineation of cancer margins. In this work, fiber-based fluorescence lifetime Imaging (FLIm) was combined with machine learning to perform intraoperative tumor identification. The developed classifier achieved a measurement-level ROC-AUC of 0.89±0.03 on an N=62 patient dataset. A transparent overlay of classifier output was augmented onto the surgical field and updated through tissue motion correction, ensuring co-registration between tissue and spectroscopic data/classifier output was maintained during imaging.

Original languageEnglish (US)
Title of host publicationAdvanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIX 2021
EditorsCaroline Boudoux, James W. Tunnell
PublisherSPIE
ISBN (Electronic)9781510640979
DOIs
StatePublished - 2021
EventAdvanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIX 2021 - Virtual, Online, United States
Duration: Mar 6 2021Mar 11 2021

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11631
ISSN (Print)1605-7422

Conference

ConferenceAdvanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIX 2021
Country/TerritoryUnited States
CityVirtual, Online
Period3/6/213/11/21

Keywords

  • Cancer Margin Assessment
  • Fluorescence Lifetime Imaging
  • Machine Learning

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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