Abstract
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.
Highlights
Colorectal cancer (CRC) can develop from pre-cursor lesions known as adenomatous polyps
As high-dimensional hyperspectral data would be challenging for an operating clinician to interpret in real-time, we investigated the use of spectral angle mapping (SAM) to provide a quantitative comparison between the spectra recorded from different tissue types
Detection and resection of colonic polyps prevents progression to colorectal cancer (CRC), yet interval cancers still arise between screening visits, that can be in part attributed to a combination of missed polyps and incomplete resections during standard colonoscopy
Summary
Colorectal cancer (CRC) can develop from pre-cursor lesions known as adenomatous polyps. To improve lesion visualization and prevent interval cancers, many advanced colonoscopies have been introduced [6], including: narrow-band imaging [7]; confocal microendoscopy [8]; Raman spectroscopy [9]; and hyperspectral endoscopy (HySE) [10, 11]. HySE relies on the optical absorption spectra of tissue to discriminate disease based on changes in both morphological and biochemical characteristics These spectral profiles could enable both detection and grading of disease in the gastrointestinal tract [11,12,13], including for CRC diagnosis based on different spectral profiles between normal mucosa and lesions [10, 14, 15]. We sought to evaluate the potential of HySE as a visualization aid to enhance polyp discrimination for detection and resection in a proof-of-concept clinical study
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
