Literature DB >> 31281069

Capsule endoscopy: Is the software TOP 100 a reliable tool in suspected small bowel bleeding?

Cátia Arieira1, Sara Monteiro2, Francisca Dias de Castro2, Pedro Boal Carvalho2, Bruno Rosa2, Maria João Moreira2, José Cotter2.   

Abstract

BACKGROUND: Small bowel capsule endoscopy (SBCE) is the reference standard tool for diagnosing small bowel bleeding (SBB). The "TOP 100", which performs an automatic selection of the 100 images that mostly likely contain abnormalities, emerged as a new functionality of the RAPID Reader® software in 2017. AIM: To compare the concordance of findings between the standard reading (SR) and the use of TOP 100 in suspected SBB.
METHODS: Retrospective study, including consecutive patients submitted to SBCE for suspected SBB. Two experienced readers performed SR and reported the most important findings. Another experienced reader, who was blinded to the SR results, reviewed all the SBCE videos using TOP 100 and reported the most important findings. The relevant findings were defined as the presence of high bleeding potential lesions (P2).
RESULTS: 97 patients were included. The TOP 100 detected 81/97(83.5%) of the P2 lesions, in particular 64/67(95.5%) of the angioectasias and 17/30(56.7%) of the ulcers. The TOP 100 identified all sites of active bleeding (n = 9).
CONCLUSION: The TOP 100 identified all sites of active bleeding, as well as the vast majority of significant lesions (83.5%); in particular, it detected over 95% of the angioectasias. Although SR remains the reference standard in the SBCE review, these findings demonstrate that TOP 100 allows for a quick preview reading constituting an important asset in the identification of lesions that may require priority full review and intervention planning.
Copyright © 2019 Editrice Gastroenterologica Italiana S.r.l. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anaemia; Melenas; Small bowel capsule endoscopy; Software

Mesh:

Year:  2019        PMID: 31281069     DOI: 10.1016/j.dld.2019.06.008

Source DB:  PubMed          Journal:  Dig Liver Dis        ISSN: 1590-8658            Impact factor:   4.088


  2 in total

1.  Clinical Performance of New Software to Automatically Detect Angioectasias in Small Bowel Capsule Endoscopy.

Authors:  Dalila Costa; Pedro Vieira; Catarina Pinto; Bruno Arroja; Tiago Leal; Sofia Mendes; Raquel Gonçalves; Carlos Lima; Carla Rolanda
Journal:  GE Port J Gastroenterol       Date:  2020-10-20

Review 2.  Artificial intelligence in small intestinal diseases: Application and prospects.

Authors:  Yu Yang; Yu-Xuan Li; Ren-Qi Yao; Xiao-Hui Du; Chao Ren
Journal:  World J Gastroenterol       Date:  2021-07-07       Impact factor: 5.742

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.