Computer-aided detection tied to higher detection rates of colorectal neoplasia: Lancet
Italy: Gastroenterologists can benefit from computer-aided detection (CADe) approaches based on artificial intelligence algorithms in identifying colorectal neoplasia.
According to a new research, detection rates of colorectal neoplasia are greater with computer-aided detection (CADe) than with other techniques such as chromoendoscopy or instruments that improve mucosal visibility. This implies that CADe strategies should be more widely included in the community endoscopy services.
This study was conducted by Marco Spadaccini and the team with the idea of exploring the key role and utility of CADe and its comparison with existing tools in the same field. The findings of this study were published on 1st October 2021 in The Lancet Gastroenterology & Hepatology journal.
Researchers conducted a thorough search of the PubMed/Medline, Embase, and Scopus databases from inception to November 30, 2020, for randomized controlled trials investigating the efficacy of the following endoscopic techniques in detecting colorectal neoplasia: CADe, high definition (HD) white-light endoscopy, chromoendoscopy, or add-on devices (ie, systems that increase mucosal visualization, such as full-spectrum endoscopy [FUSE] or G-EYE balloon endoscopy). Adenoma detection rates, sessile serrated lesion detection rates, the fraction of big adenomas identified per colonoscopy, and withdrawal times were also gathered. The researchers used a frequentist framework and random-effects network meta-analysis to compare artificial intelligence to chromoendoscopy, enhanced mucosal visualization technologies, and HD white-light endoscopy (the control group).
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