RESUMO
Background/Aim: This study aimed to evaluate the effectiveness of the GI Genius (Medtronic) module in clinical practice, focusing on the adenoma detection rate (ADR) during colonoscopy. Computer-aided polyp detection (CADe) systems using artificial intelligence have been shown to improve adenoma detection in controlled trials. However, the effectiveness of these systems in clinical practice has recently been questioned. Methods: This single-center prospective observational study was conducted at the University Hospital of Southern Denmark and included all individuals referred for colonoscopy between November 2020 and January 2021. The primary outcome was ADR, comparing patients examined with CADe to those examined without it. The selection of patients to be examined with the CADe module was completely random. Results: A total of 502 patients were analyzed (318 in the control group and 184 in the CADe group). The overall ADR was 32.1% with a slight increase in the CADe group (34.7% vs. 30.5%). Multivariable analysis showed a very modest and statistically insignificant increase in ADR (risk ratio, 1.12; 95% confidence interval, 0.88-1.43). Conclusions: The use of CADe in clinical practice did not increase ADR with statistical significance when compared to colonoscopy without CADe. These findings suggest that the impact of CADe systems in everyday clinical practice are modest.
RESUMO
Acute appendicitis (AA) is the most common cause of acute abdomen worldwide and untreated it can lead to abscess formation, purulent or faeculent peritonitis, sepsis and death. This paper presents a rare case of an AA herniated in a retro-psoas muscle defect, which has not previously been reported in the literature. Our patient's diagnosis and management was delayed due to the unusual presentation. This case emphasizes the importance to utilize AA scoring algorithms to aid decision-making as they have shown to reduce admissions, optimize the use of diagnostic imaging and reduce negative surgical explorations.