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Artificial intelligence (AI)-assisted colonoscopy has emerged as a tool to enhance adenoma detection rates (ADRs) and improve lesion characterization. However, its performance in real-world settings, especially in developing countries, remains uncertain.
The aim of this study was to evaluate the impact of AI on ADRs and its concordance with histopathological diagnosis.
A matched case–control study was conducted at a colorectal cancer (CRC) referral center, including 146 patients aged 45–75 years who underwent colonoscopy for CRC screening or surveillance. Patients were allocated into two groups: AI-assisted colonoscopy (n=74) and high-definition conventional colonoscopy (n=72). The primary outcome was ADR, and the secondary outcome was the agreement between AI-based lesion characterization and histopathology. Statistical analysis was performed with a significance level of p<0.05.
ADR was higher in the AI group (60%) than in the control group (50%), but this difference was not statistically significant (p>0.05). AI-assisted lesion characterization showed substantial agreement with histopathology (kappa=0.692). No significant difference was found in withdrawal time (29 min vs. 27 min; p>0.05), indicating that AI did not delay the procedure
Although AI did not significantly increase ADR compared to conventional colonoscopy, it demonstrated strong histopathological concordance, supporting its reliability in lesion characterization. AI may reduce interobserver variability and optimize real-time decision-making, reinforcing its clinical utility in CRC screening.
Colorectal cancer (CRC) is a worldwide health problem whose control depends on public policy establishment and effective prevention and screening programs. In Brazil, there are few studies related to adherence to screening methods.
The aim of this study was to evaluate the association between demographic and socioeconomic to adherence to CRC screening with fecal immunochemical test (FIT) among average-risk individuals for CRC.
In this prospective cross-sectional study, conducted between March 2015 and April 2016, 1,254 asymptomatic individuals aged 50–75 years, participating in a hospital screening campaign in Brazil, were invited to participate in the study.
The adherence rate to FIT was 55.6% (697/1,254). In the multivariable logistic regression analysis, patients aged 60–75 years (odds ratio (OR)=1.30; 95% confidence interval (CI): 1.02–1.66; p=0.03), religious belief (OR=2.04; 95% CI: 1.34–3.11; p<0.01), previous fecal occult blood test (OR=2.07; 95% CI: 1.55–2.76; p<0.01), and full/part-time working status (OR=0.66; 95% CI: 0.49–0.89; p<0.01) were independently associated with adherence to CRC screening.
The results of the present study highlight the importance of considering the labor aspects when implementing screening programs, suggesting that campaigns conducted in the workplace and repeated over the years may be more effective.
Desenvolvido por Surya MKT