Fluorescence guided surgery has high potential for improved patient outcomes but often lacks quantification of fluorophore depth which is needed to determine surgical margins of solid tumors. To address this need, a dual wavelength excitation approach was applied that capitalizes on the wavelength-dependent attenuation of light in tissue to provide depth information independent of fluorophore concentration. A portable near infrared dual wavelength excitation fluorescence imaging system was built and tested using tissue mimicking phantoms and is currently being tested to determine breast tumor margin status in a first-in-human clinical trial investigating LS301, a novel near infrared tumor-targeted contrast agent.
Near infrared (NIR) in-vivo fluorescence imaging is a powerful modality capable of interrogating biological tissue in real time, at high spatial resolution, without the need for ionizing radiation, and at depths exceeding visible light imaging modalities.
Several fluorescence guided surgery (FGS) imaging systems have been developed, but their complexity and cost effectively excludes low resource settings from this technology. To help make NIR FGS available globally, we developed a fluorescence imaging augmented reality Raspberry Pi-based goggle system (FAR-Pi), open-source-hardware-inspired low cost, fully wearable, compact, and battery powered redesign of our previously described goggle-based FGS system.
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