Surgery is the first-line therapy for most solid cancers, but it’s effectiveness as a cancer treatment is reduced when all cancer cells are not detected during surgery. Instead, these residual cancer cells remain leading to recurrences that negatively impact survival. We present the development and validation of handheld multimodal optical spectroscopy imaging systems to guide surgical procedures in brain, prostate and lung cancer. These systems rely on statistical models using inelastically scattered light and intrinsic tissue fluorescence spectra for live tissue classification for interventional medicine applications including surgical resection guidance and molecularly-targeted biopsy collection. These highly sensitive optical molecular imaging tools can profoundly impact a wide range of surgery and oncology procedures by improving cancer detection capabilities, reducing cancer burden, and thereby improving survival and quality of life.
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