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First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps
Author(s) -
Yoon Jonghee,
Joseph James,
Waterhouse Dale J.,
Borzy Charlie,
Siemens Kyla,
Diamond Sarah,
Tsikitis Vassiliki Liana,
Bohndiek Sarah E.
Publication year - 2021
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.202100078
Subject(s) - colonoscopy , endoscope , hyperspectral imaging , medicine , endoscopy , colorectal cancer , polypectomy , adenomatous polyps , clinical practice , endoscopic mucosal resection , radiology , gastroenterology , cancer , artificial intelligence , computer science , family medicine
Early detection and resection of adenomatous polyps prevents their progression to colorectal cancer (CRC), significantly improving patient outcomes. Polyps are typically identified and removed during white‐light colonoscopy. Unfortunately, the rate of interval cancers that arise between CRC screening events remains high, linked to poor visualization of polyps during screening and incomplete polyp removal. Here, we sought to evaluate the potential of a hyperspectral endoscope (HySE) to enhance polyp discrimination for detection and resection. We designed, built and tested a new compact HySE in a proof‐of‐concept clinical study. We successfully collected spectra from three tissue types in seven patients undergoing routine colonoscopy screening. The acquired spectral data from normal tissue and polyps, both pre‐ and post‐ resection, were subjected to quantitative analysis using spectral angle mapping and machine learning, which discriminated the data by tissue type, meriting further investigation of HySE as a clinical tool.