MiWEndo: Evaluation of a Microwave Colonoscopy Algorithm for Early Colorectal Cancer Detection in Ex Vivo Human Colon Models

Sensors (Basel). 2022 Jun 29;22(13):4902. doi: 10.3390/s22134902.

Abstract

This study assesses the efficacy of detecting colorectal cancer precursors or polyps in an ex vivo human colon model with a microwave colonoscopy algorithm. Nowadays, 22% of polyps go undetected with conventional colonoscopy, and the risk of cancer after a negative colonoscopy can be up to 7.9%. We developed a microwave colonoscopy device that consists of a cylindrical ring-shaped switchable microwave antenna array that can be attached to the tip of a conventional colonoscope as an accessory. The accessory is connected to an external unit that allows successive measurements of the colon and processes the measurements with a microwave imaging algorithm. An acoustic signal is generated when a polyp is detected. Fifteen ex vivo freshly excised human colons with cancer (n = 12) or polyps (n = 3) were examined with the microwave-assisted colonoscopy system simulating a real colonoscopy exploration. After the experiment, the dielectric properties of the specimens were measured with a coaxial probe and the samples underwent a pathology analysis. The results show that all the neoplasms were detected with a sensitivity of 100% and specificity of 87.4%.

Keywords: colorectal cancer; endoscopes; medical diagnostic imaging; microwave antenna arrays; microwave imaging.

MeSH terms

  • Algorithms
  • Colonic Polyps* / diagnostic imaging
  • Colonic Polyps* / pathology
  • Colonoscopy / methods
  • Colorectal Neoplasms* / diagnostic imaging
  • Humans
  • Microwaves