A computer-aided detection system in the everyday setting of diagnostic, screening, and surveillance colonoscopy: an international, randomized trial.
Michiel H J Maas, Timo Rath, Cristiano Spada, Elsa Soons, Nauzer Forbes, Sergey Kashin, Paola Cesaro, Axel Eickhoff, Geoffroy Vanbiervliet, Daniele Salvi, Paul J Belletrutti, Peter D Siersema,
November 2024 EndoscopySynopsis of Social media discussions
The group is somewhat intrigued by the trial, as seen in posts highlighting it as an 'editor's choice' and sharing links to the article, but they stop short of in-depth discussion about the implications. For example, comments like 'Check out for more' and references to author commentaries indicate a basic level of engagement focused on dissemination rather than critique or analysis, which explains the moderate scores across the dimensions.
Agreement
Neither agree nor disagreeThe discussions show mixed reactions; some appreciate the trial and its findings, while others question the true benefit of the CADe system given its limited improvements.
Interest
Moderate level of interestPosts display moderate interest, with some sharing links and calling the study 'editor's choice,' but few delve into detailed analysis.
Engagement
Moderate level of engagementParticipants generally acknowledge the research but do not deeply analyze its methodologies or broader implications, indicating moderate engagement.
Impact
Neutral impactWhile the study seems to inform ongoing debates about CADe effectiveness, the overall consensus suggests the impact on clinical practice may be limited at this stage.
Social Mentions
YouTube
1 Videos
2 Posts
5 Posts
Metrics
Video Views
42
Total Likes
18
Extended Reach
49,455
Social Features
8
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
Assessment of Computer-Aided Detection in Routine Colonoscopy Effectiveness
Michiel Maas discusses a randomized trial evaluating a computer-aided detection system in diagnostic, screening, and surveillance colonoscopy, highlighting its limited impact on adenoma detection and increased sessile serrated lesion detection.
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Check out for more: https://t.co/wRZmLsRa0R https://t.co/qQJg4gU1PI
view full postNovember 14, 2024
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Endoscopy Journal
@endoscopyjrnl (Twitter)#AuthorCommentary: Michiel Maas on "computer-aided detection system in the everyday setting of diagnostic, screening, and surveillance colonoscopy: an international, randomized trial" Watch here: https://t.co/K0MAZPJfbm See article: https://t.co/wRZmLsRa0R
view full postNovember 13, 2024
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Endoscopy Journal
@endoscopyjrnl (Twitter)Editor's Choice: Multicenter trial on CADe in everyday colonoscopy populations Find the article at: https://t.co/wRZmLsRHQp Michiel H. J. Maas et al. https://t.co/Vo95n79g3Q
view full postNovember 12, 2024
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Dr Celestino Gutiérrez González MD
@CelestinoGutirr (Twitter)RT @KralJan:
view full postNovember 2, 2024
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Jan Král
@KralJan (Twitter)November 2, 2024
10
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Abstract Synopsis
- A computer-aided detection (CADe) system was tested in a large, multi-center international study to see if it improves the detection of adenomas and other lesions during colonoscopy.
- The study found that while CADe slightly increased the detection of sessile serrated lesions, it did not significantly improve the overall adenoma detection rate compared to conventional colonoscopy when performed by experienced endoscopists.
- The high baseline detection rates in the control group suggest that the effectiveness of CADe might vary depending on the skill of the endoscopists, and the study's results could be affected by being underpowered due to unexpectedly high detection rates in the control group.
Endoscopy Journal
@endoscopyjrnl (Twitter)