Literature DB >> 33137833

Benchmarking definitions of false-positive alerts during computer-aided polyp detection in colonoscopy.

Erik A Holzwanger1, Mohammad Bilal2, Jeremy R Glissen Brown2, Shailendra Singh3, Aymeric Becq4, Kenneth Ernest-Suarez5, Tyler M Berzin2.   

Abstract

BACKGROUND: The occurrence of false-positive alerts is an important outcome measure in computer-aided colon polyp detection (CADe) studies. However, there is no consensus definition of a false positive in clinical trials evaluating CADe in colonoscopy. We aimed to study the diagnostic performance of CADe based on different threshold definitions for false-positive alerts.
METHODS: A previously validated CADe system was applied to screening/surveillance colonoscopy videos. Different thresholds for false-positive alerts were defined based on the time an alert box was continuously traced by the system. Primary outcomes were false-positive results and specificity using different threshold definitions of false positive.
RESULTS: 62 colonoscopies were analyzed. CADe specificity and accuracy were 93.2 % and 97.8 %, respectively, for a threshold definition of ≥ 0.5 seconds, 98.6 % and 99.5 % for a threshold definition of ≥ 1 second, and 99.8 % and 99.9 % for a threshold definition of ≥ 2 seconds.
CONCLUSION: Our analysis demonstrated how different threshold definitions of false positive can impact the reported diagnostic performance of CADe for colon polyp detection. Thieme. All rights reserved.

Entities:  

Mesh:

Year:  2021        PMID: 33137833      PMCID: PMC8386281          DOI: 10.1055/a-1302-2942

Source DB:  PubMed          Journal:  Endoscopy        ISSN: 0013-726X            Impact factor:   9.776


  2 in total

Review 1.  Artificial intelligence-assisted colonoscopy: a narrative review of current data and clinical applications.

Authors:  James Weiquan Li; Lai Mun Wang; Tiing Leong Ang
Journal:  Singapore Med J       Date:  2022-03       Impact factor: 3.331

2.  Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions.

Authors:  Markus Brand; Joel Troya; Adrian Krenzer; Zita Saßmannshausen; Wolfram G Zoller; Alexander Meining; Thomas J Lux; Alexander Hann
Journal:  United European Gastroenterol J       Date:  2022-05-05       Impact factor: 6.866

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.