Mozambique has one of the highest burdens of cervical cancer in the world. However, access to gynecology and pathology services to diagnose cervical precancer in Mozambique is limited. To enable effective cervical dysplasia detection at the point of care, we developed a rugged multi-modal imaging system to acquire colposcopic and high-resolution images of the cervix and identify regions with greater likelihood of high grade cervical precancer. Representative data collected from patients referred for colposcopy at Mavalane Hospital in Maputo, Mozambique illustrate the ability of the multimodal system to identify high grade cervical precancer at the point of care.
SignificanceDespite recent advances in multimodal optical imaging, oral imaging systems often do not provide real-time actionable guidance to the clinician who is making biopsy and treatment decisions.AimWe demonstrate a low-cost, portable active biopsy guidance system (ABGS) that uses multimodal optical imaging with deep learning to directly project cancer risk and biopsy guidance maps onto oral mucosa in real time.ApproachCancer risk maps are generated based on widefield autofluorescence images and projected onto the at-risk tissue using a digital light projector. Microendoscopy images are obtained from at-risk areas, and multimodal image data are used to calculate a biopsy guidance map, which is projected onto tissue.ResultsRepresentative patient examples highlight clinically actionable visualizations provided in real time during an imaging procedure. Results show multimodal imaging with cancer risk and biopsy guidance map projection offers a versatile, quantitative, and precise tool to guide biopsy site selection and improve early detection of oral cancers.ConclusionsThe ABGS provides direct visible guidance to identify early lesions and locate appropriate sites to biopsy within those lesions. This represents an opportunity to translate multimodal imaging into real-time clinically actionable visualizations to help improve patient outcomes.
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