• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

新一代快报观点:人工智能软件有效缩短胶囊内镜阅片时间。

New Generation Express View: An Artificial Intelligence Software Effectively Reduces Capsule Endoscopy Reading Times.

作者信息

Piccirelli Stefania, Mussetto Alessandro, Bellumat Angelo, Cannizzaro Renato, Pennazio Marco, Pezzoli Alessandro, Bizzotto Alessandra, Fusetti Nadia, Valiante Flavio, Hassan Cesare, Pecere Silvia, Koulaouzidis Anastasios, Spada Cristiano

机构信息

Fondazione Poliambulanza Istituto Ospedaliero, 25124 Brescia, Italy.

Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.

出版信息

Diagnostics (Basel). 2022 Jul 22;12(8):1783. doi: 10.3390/diagnostics12081783.

DOI:10.3390/diagnostics12081783
PMID:35892494
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9332221/
Abstract

BACKGROUND

Reading capsule endoscopy (CE) is time-consuming. The Express View (EV) (IntroMedic, Seoul, Korea) software was designed to shorten CE video reading. Our primary aim was to evaluate the diagnostic accuracy of EV in detecting significant small-bowel (SB) lesions. We also compared the reading times with EV mode and standard reading (SR). METHODS: 126 patients with suspected SB bleeding and/or suspected neoplasia were prospectively enrolled and underwent SB CE (MiroCam®1200, IntroMedic, Seoul, Korea). CE evaluation was performed in standard and EV mode. In case of discrepancies between SR and EV readings, a consensus was reached after reviewing the video segments and the findings were re-classified. RESULTS: The completion rate of SB CE in our cohort was 86.5% and no retention occurred. The per-patient analysis of sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of EV compared to SR were 86%, 86%, 90%, 81%, and 86%, respectively, before consensus. After consensus, they increased to 97%, 100%, 100%, 96%, and 98%, respectively. The median reading time with SR and EV was 71 min (range 26−340) and 13 min (range 3−85), respectively (p < 0.001). CONCLUSIONS: The new-generation EV shows high diagnostic accuracy and significantly reduces CE reading times.

摘要

背景

阅读胶囊内镜(CE)耗时较长。快速视图(EV)(韩国首尔IntroMedic公司)软件旨在缩短CE视频的阅读时间。我们的主要目的是评估EV在检测小肠(SB)重大病变方面的诊断准确性。我们还比较了EV模式和标准阅读(SR)的阅读时间。

方法

前瞻性纳入126例疑似SB出血和/或疑似肿瘤的患者,并进行SB CE检查(韩国首尔IntroMedic公司的MiroCam®1200)。以标准模式和EV模式进行CE评估。如果SR和EV阅读结果存在差异,则在查看视频片段后达成共识,并对结果重新分类。

结果

我们队列中SB CE的完成率为86.5%,未发生滞留情况。在达成共识之前,与SR相比,EV的患者个体敏感性、特异性、阳性预测值、阴性预测值和诊断准确性分析分别为86%、86%、90%、81%和86%。达成共识后,它们分别提高到97%、100%、100%、96%和98%。SR和EV的中位阅读时间分别为71分钟(范围26 - 340)和13分钟(范围3 - 85)(p < 0.001)。

结论

新一代EV显示出较高的诊断准确性,并显著缩短了CE阅读时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/102b/9332221/e9674c6167d9/diagnostics-12-01783-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/102b/9332221/95f4c162b6d4/diagnostics-12-01783-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/102b/9332221/e9674c6167d9/diagnostics-12-01783-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/102b/9332221/95f4c162b6d4/diagnostics-12-01783-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/102b/9332221/e9674c6167d9/diagnostics-12-01783-g002.jpg

相似文献

1
New Generation Express View: An Artificial Intelligence Software Effectively Reduces Capsule Endoscopy Reading Times.新一代快报观点:人工智能软件有效缩短胶囊内镜阅片时间。
Diagnostics (Basel). 2022 Jul 22;12(8):1783. doi: 10.3390/diagnostics12081783.
2
Multicenter prospective evaluation of the express view reading mode for small-bowel capsule endoscopy studies.小肠胶囊内镜检查研究中快速视图阅读模式的多中心前瞻性评估。
Endosc Int Open. 2018 May;6(5):E616-E621. doi: 10.1055/a-0587-4788. Epub 2018 May 8.
3
Diagnostic accuracy of artificial intelligence-aided capsule endoscopy (TOP100) in overt small bowel bleeding.人工智能辅助胶囊内镜(TOP100)在显性小肠出血中的诊断准确性。
Surg Endosc. 2023 Oct;37(10):7658-7666. doi: 10.1007/s00464-023-10273-w. Epub 2023 Jul 26.
4
Evaluation of the sensitivity of the function in the Mirocam capsule endoscopy software.评估 Mirocam 胶囊内镜软件中 功能的灵敏度。
Scand J Gastroenterol. 2020 Mar;55(3):371-375. doi: 10.1080/00365521.2020.1734650. Epub 2020 Mar 9.
5
Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model.胶囊内镜使用深度学习模型对小肠疾病和正常变异进行胃肠病学家级别的识别。
Gastroenterology. 2019 Oct;157(4):1044-1054.e5. doi: 10.1053/j.gastro.2019.06.025. Epub 2019 Jun 25.
6
High sensitivity of quick view capsule endoscopy for detection of small bowel Crohn's disease.快速观察胶囊内镜对小肠克罗恩病的检测具有高灵敏度。
J Gastroenterol Hepatol. 2014 May;29(5):992-6. doi: 10.1111/jgh.12488.
7
Double-headed small-bowel capsule endoscopy: Real-world experience from a multi-centre British study.双头小肠胶囊内镜检查:一项英国多中心研究的真实世界经验
Dig Liver Dis. 2021 Apr;53(4):461-466. doi: 10.1016/j.dld.2021.01.017. Epub 2021 Feb 8.
8
Evaluations of capsule endoscopy software in reducing the reading time and the rate of false negatives by inexperienced endoscopists.评估胶囊内镜软件是否可以减少无经验内镜医师的阅读时间和假阴性率。
Clin Res Hepatol Gastroenterol. 2012 Feb;36(1):66-71. doi: 10.1016/j.clinre.2011.09.009. Epub 2011 Nov 9.
9
Efficacy of new playback functions at reducing small-bowel wireless capsule endoscopy reading times.新回放功能对减少小肠无线胶囊内镜检查时间的疗效。
Dig Dis Sci. 2012 Jun;57(6):1624-8. doi: 10.1007/s10620-012-2074-y. Epub 2012 Feb 11.
10
MiroCam capsule for obscure gastrointestinal bleeding: a prospective, single centre experience.MiroCam 胶囊用于不明原因胃肠道出血:一项前瞻性、单中心研究。
Dig Liver Dis. 2013 Feb;45(2):124-8. doi: 10.1016/j.dld.2012.08.016. Epub 2012 Sep 19.

引用本文的文献

1
A ubiquitous and interoperable deep learning model for automatic detection of pleomorphic gastroesophageal lesions.一种用于自动检测多形性胃食管病变的通用且可互操作的深度学习模型。
Sci Rep. 2025 Jul 2;15(1):22889. doi: 10.1038/s41598-025-03397-7.
2
Integration of Artificial Intelligence-Enhanced Capsule Endoscopy in Clinical Practice: A Review of Market-Available Tools for Clinical Practice.人工智能增强型胶囊内镜在临床实践中的整合:临床实践中市场可用工具的综述
Dig Dis Sci. 2025 Jun 9. doi: 10.1007/s10620-025-09099-4.
3
Artificial Intelligence-Assisted Capsule Endoscopy Versus Conventional Capsule Endoscopy for Detection of Small Bowel Lesions: A Systematic Review and Meta-Analysis.

本文引用的文献

1
Indications, Detection, Completion and Retention Rates of Capsule Endoscopy in Two Decades of Use: A Systematic Review and Meta-Analysis.二十年使用中胶囊内镜的适应证、检出率、完成率及留存率:一项系统评价与Meta分析
Diagnostics (Basel). 2022 Apr 28;12(5):1105. doi: 10.3390/diagnostics12051105.
2
PEACE: Perception and Expectations toward Artificial Intelligence in Capsule Endoscopy.PEACE:胶囊内镜检查中对人工智能的认知与期望
J Clin Med. 2021 Dec 6;10(23):5708. doi: 10.3390/jcm10235708.
3
Does capsule endoscopy impact clinical management in established Crohn's disease?
人工智能辅助胶囊内镜与传统胶囊内镜在小肠病变检测中的比较:一项系统评价和荟萃分析
J Gastroenterol Hepatol. 2025 May;40(5):1105-1118. doi: 10.1111/jgh.16931. Epub 2025 Mar 13.
4
Deep Learning and Minimally Invasive Endoscopy: Panendoscopic Detection of Pleomorphic Lesions.深度学习与微创内镜检查:多形态病变的全内镜检测
GE Port J Gastroenterol. 2024 Aug 21;31(6):408-418. doi: 10.1159/000539837. eCollection 2024 Dec.
5
Capsule endoscopy and panendoscopy: A journey to the future of gastrointestinal endoscopy.胶囊内镜与全内镜:胃肠道内镜的未来之旅。
World J Gastroenterol. 2024 Mar 14;30(10):1270-1279. doi: 10.3748/wjg.v30.i10.1270.
6
The Future of Minimally Invasive Capsule Panendoscopy: Robotic Precision, Wireless Imaging and AI-Driven Insights.微创胶囊全内镜检查的未来:机器人精准度、无线成像与人工智能驱动的见解。
Cancers (Basel). 2023 Dec 15;15(24):5861. doi: 10.3390/cancers15245861.
7
Deep Learning and Minimally Invasive Endoscopy: Automatic Classification of Pleomorphic Gastric Lesions in Capsule Endoscopy.深度学习与微创内窥镜:胶囊内镜中异型性胃病变的自动分类。
Clin Transl Gastroenterol. 2023 Oct 1;14(10):e00609. doi: 10.14309/ctg.0000000000000609.
8
Small-Bowel Capsule Endoscopy-Optimizing Capsule Endoscopy in Clinical Practice.小肠胶囊内镜检查——优化临床实践中的胶囊内镜检查
Diagnostics (Basel). 2021 Nov 18;11(11):2139. doi: 10.3390/diagnostics11112139.
胶囊内镜检查对已确诊的克罗恩病的临床管理有影响吗?
Dig Liver Dis. 2022 Jan;54(1):118-124. doi: 10.1016/j.dld.2021.08.014. Epub 2021 Sep 10.
4
Role of Artificial Intelligence in Video Capsule Endoscopy.人工智能在视频胶囊内镜检查中的作用。
Diagnostics (Basel). 2021 Jun 30;11(7):1192. doi: 10.3390/diagnostics11071192.
5
Scoring systems in clinical small-bowel capsule endoscopy: all you need to know!临床小肠胶囊内镜检查中的评分系统:你需要了解的一切!
Endosc Int Open. 2021 Jun;9(6):E802-E823. doi: 10.1055/a-1372-4051. Epub 2021 May 27.
6
The impact of reader fatigue on the accuracy of capsule endoscopy interpretation.读者疲劳对胶囊内镜解读准确性的影响。
Dig Liver Dis. 2021 Aug;53(8):1028-1033. doi: 10.1016/j.dld.2021.04.024. Epub 2021 May 18.
7
Prospective evaluation of third-generation small bowel capsule endoscopy videos by independent readers demonstrates poor reproducibility of cleanliness classifications.前瞻性评估第三代小肠胶囊内镜视频由独立读者表明清洁分类的重现性差。
Clin Res Hepatol Gastroenterol. 2021 Nov;45(6):101612. doi: 10.1016/j.clinre.2020.101612. Epub 2021 Mar 16.
8
How to read small bowel capsule endoscopy: a practical guide for everyday use.如何解读小肠胶囊内镜检查:日常实用指南
Endosc Int Open. 2020 Oct;8(10):E1220-E1224. doi: 10.1055/a-1210-4830. Epub 2020 Sep 21.
9
Evaluation of the sensitivity of the function in the Mirocam capsule endoscopy software.评估 Mirocam 胶囊内镜软件中 功能的灵敏度。
Scand J Gastroenterol. 2020 Mar;55(3):371-375. doi: 10.1080/00365521.2020.1734650. Epub 2020 Mar 9.
10
Use of rapid reading software to reduce capsule endoscopy reading times while maintaining accuracy.使用快速阅读软件来减少胶囊内镜的阅读时间,同时保持准确性。
Gastrointest Endosc. 2020 Jun;91(6):1322-1327. doi: 10.1016/j.gie.2020.01.026. Epub 2020 Jan 22.