Computer aided detection for laterally spreading tumors and sessile serrated adenomas during colonoscopy.

ABSTRACT:

Background

Evidence has shown that deep learning computer aided detection (CADe) system achieved high overall detection accuracy for polyp detection during colonoscopy.

Aim

The detection performance of CADe system on non-polypoid laterally spreading tumors (LSTs) and sessile serrated adenomas/polyps (SSA/Ps), with higher risk for malignancy transformation and miss rate, has not been exclusively investigated.

Methods

A previously validated deep learning CADe system for polyp detection was tested exclusively on LSTs and SSA/Ps. 1451 LST images from 184 patients were collected between July 2015 and January 2019, 82 SSA/Ps videos from 26 patients were collected between September 2018 and January 2019. The per-frame sensitivity and per-lesion sensitivity were calculated.

SUBMITTER: Zhou G 

PROVIDER: S-EPMC7173785 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature