First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps

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 - https://www.scopus.com/pages/publications/85108260372

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 -