Fluorescence lifetime imaging for intraoperative cancer delineation in transoral robotic surgery. Issue 1 (2nd December 2019)

• Record Type: Journal Article
• Authors: Weyers, Brent W.; Marsden, Mark; Sun, Tianchen; Bec, Julien; Bewley, Arnaud F.; Gandour‐Edwards, Regina F.; Moore, Michael G.; Farwell, D. Gregory; Marcu, Laura
• Is Part Of: Translational biophotonics. Volume 1:Issue 1/2(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-12-02
• Subjects: autofluorescence -- coregistration techniques -- fluorescence lifetime imaging -- head and neck cancer -- intraoperative surgical guidance -- robotic surgery -- surgical visualization; Imaging systems in medicine -- Periodicals; Biosensors -- Optical properties -- Periodicals; Photonics -- Periodicals; Imaging systems in medicine; Photonics; Optics and Photonics; Translational Medical Research; Periodicals; Periodical; 621.365
• DOI: 10.1002/tbio.201900017
• Languages: English
• ISSNs: 2627-1850

Abstract

Abstract: This study evaluates the potential for fluorescence lifetime imaging (FLIm) to enhance intraoperative decisionmaking during robotic‐assisted surgery of oropharyngeal cancer. Using a custom built FLIm instrument integrated with the da Vinci robotic surgical platform, we first demonstrate that cancer in epithelial tissue diagnosed by histopathology can be differentiated from surrounding healthy epithelial tissue imaged in vivo prior to cancer resection and ex vivo on the excised specimen. Second, we study the fluorescence properties of tissue imaged in vivo at surgical resection margins (tumor bed). Fluorescence lifetimes and spectral intensity ratios were calculated for three spectral channels, producing a set of six FLIm parameters. Current results from 10 patients undergoing TORS procedures demonstrate that healthy epithelium can be resolved from cancer ( P < .001) for at least one FLIm parameter. We also showed that a multiparameter linear discriminant analysis approach provides superior discrimination to individual FLIm parameters for tissue imaged both in vivo and ex vivo . Overall, this study highlights the potential for FLIm to be developed into a diagnostic tool for clinical cancer applications of the oropharynx. This technique could help to circumvent the issues posed by the lack of tactile feedback associated with robotic surgical platforms to better enable cancer delineation. Abstract : In this study we evaluate the potential for fluorescence lifetime imaging (FLIm) to distinguish tissue conditions (healthy epithelium and cancer) in a clinical setting. Using a custom built FLIm instrument applied to clinical cancer applications of the oropharynx, we demonstrate that intrapatient contrast between healthy epithelium and cancer ( P < .001) can be achieved in both pre‐resection in vivo and post‐resection ex vivo scans.