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

Jonghee Yoon, James Joseph, Dale J. Waterhouse, Charlie Borzy, Kyla Siemens, Sarah Diamond, Vassiliki Liana Tsikitis (Lead / Corresponding author), Sarah E. Bohndiek (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

4 Downloads (Pure)

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.

Original languageEnglish
Article numbere202100078
Number of pages9
JournalJournal of Biophotonics
Early online date21 Jun 2021
DOIs
Publication statusE-pub ahead of print - 21 Jun 2021

Keywords

  • colonoscopy
  • hyperspectral endoscope
  • hyperspectral imaging
  • machine learning

Fingerprint

Dive into the research topics of 'First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps'. Together they form a unique fingerprint.

Cite this