活检
医学
计算机科学
医学物理学
医学影像学
放射科
癌症
人工智能
计算机视觉
内科学
作者
Jackson B. Coole,David Brenes,Ruchika Mitbander,Imran S. Vohra,Huayu Hou,Alex Kortum,Yubo Tang,Yajur Maker,Richard A. Schwarz,Jennifer Carns,Hawraa Badaoui,Michelle D. Williams,Nadarajah Vigneswaran,Ann M. Gillenwater,Rebecca Richards‐Kortum
标识
DOI:10.1117/1.jbo.28.1.016002
摘要
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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