The goal of oncologic resection is to eradicate all malignant cells, while minimizing loss of surrounding normal tissue (or so-called “negative margins”). Failure to achieve negative margins constitutes an adverse prognostic factor, which has a significant impact on patient’s quality of life and cancer recurrence. Significant barriers to obtaining a negative margins resection in real time exist and novel imaging platforms are needed which can be utilized during robotic tumor resection. In order to develop a novel endoscopic imaging platform for head and neck surgery: We propose to combine functional measurement of molecular tissue constituents with lifetime molecular imaging of metabolism. This will couple traditional stereo laparoscopic images with Single Snapshot of Optical Properties (SSOP)/ Fluorescence Lifetime Imaging FLI NIR, and Phasor computational lifetime imaging technology (PHASOR) simultaneously into a dual channel robotic endoscope and tested via optical phantoms having realistic tissue properties. This platform will use a variety of techniques including to image endogenous molecular constituents, namely oxyhemoglobin, deoxyhemoglobin, water, NADH, and NADPH providing a quantitative measurement of physiological parameters. Such information can be used to identify healthy and diseased tissue intraoperatively, providing a unique opportunity to delineate surgical margins in real-time. Pre-clinical mice models bearing tumor xenografts will be imaged using the tri-modal system to record: visible light image, hemodynamics parameters and metabolic status and test the feasibility of the identification of tumor margins in real time.
Brett Miles, Xavier Intes, and Sylvain Gioux, "Novel platform for optically guided head and neck robotic surgery (Conference Presentation)," Proc. SPIE 10469, Optical Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2018, 1046918 (Presented at SPIE BiOS: January 28, 2018; Published: 14 March 2018); https://doi.org/10.1117/12.2297463.5751470600001.
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