A clinical research study published in the British Journal of Surgery shows that fluorescence guidance (where a fluorescent chemical compound re-emits light with a long wavelength) can enable a colorectal surgeon to assess cancer tissues visually and with more specificity in real-time during surgery, by using near-infrared (NIR) light from an administered fluorophore in conjunction with artificial intelligence (AI) methods.
In this study, supported by the Disruptive Technologies and Innovation Fund 2018, videos from 24 patient (11 with cancer) surgeries were studied. Numerous ROIs (Regions of Interest) from each area of abnormality were selected for analysis from each video. NIR intensities were extracted by tracking the ROIs within each video, focusing on the initial wash-in period. The data set used for analysis included 435 ROI profiles each with 12 perfusion-characterizing features with balanced outcomes. At patient level, the system correctly diagnosed 19 of 20 cancers (95%.)
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