TY - JOUR
T1 - First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps
AU - Yoon, Jonghee
AU - Joseph, James
AU - Waterhouse, Dale J.
AU - Borzy, Charlie
AU - Siemens, Kyla
AU - Diamond, Sarah
AU - Tsikitis, Vassiliki Liana
AU - Bohndiek, Sarah E.
N1 - Funding Information:
We would like to acknowledge the financial support of Cancer Research UK (C14303/A17197, C9545/A29580, C47594/A16267, C47594/A21102, C55962/A24669, C47594/A26851) and EPSRC (EP/N014588/1, EP/R003599/1).
Publisher Copyright:
© 2021 The Authors. Journal of Biophotonics published by Wiley-VCH GmbH.
PY - 2021/9/16
Y1 - 2021/9/16
N2 - 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.
AB - 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.
KW - colonoscopy
KW - hyperspectral endoscope
KW - hyperspectral imaging
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=85108260372&partnerID=8YFLogxK
U2 - 10.1002/jbio.202100078
DO - 10.1002/jbio.202100078
M3 - Article
C2 - 34047490
AN - SCOPUS:85108260372
SN - 1864-063X
VL - 14
JO - Journal of Biophotonics
JF - Journal of Biophotonics
IS - 9
M1 - e202100078
ER -