{"id":6301,"date":"2025-12-02T10:53:05","date_gmt":"2025-12-02T13:53:05","guid":{"rendered":"https:\/\/revistaabcd.org.br\/?p=6301"},"modified":"2025-12-02T10:53:05","modified_gmt":"2025-12-02T13:53:05","slug":"artificial-intelligence-assisted-colonoscopy-for-colorectal-lesion-detection-a-case-control-study-on-diagnostic-accuracy-and-histopathological-agreement","status":"publish","type":"post","link":"https:\/\/revistaabcd.org.br\/pt-br\/artificial-intelligence-assisted-colonoscopy-for-colorectal-lesion-detection-a-case-control-study-on-diagnostic-accuracy-and-histopathological-agreement\/","title":{"rendered":"Artificial intelligence-assisted colonoscopy for colorectal lesion detection: a case-control study on diagnostic accuracy and histopathological agreement\u200b"},"content":{"rendered":"<h2><strong>Background:<\/strong><\/h2>\n<p>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.<\/p>\n<h2><strong>Aims:<\/strong><\/h2>\n<p>The aim of this study was to evaluate the impact of AI on ADRs and its concordance with histopathological diagnosis.<\/p>\n<h2><strong>Methods:<\/strong><\/h2>\n<p>A matched case\u2013control study was conducted at a colorectal cancer (CRC) referral center, including 146 patients aged 45\u201375 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&lt;0.05.<\/p>\n<h2><strong>Results:<\/strong><\/h2>\n<p>ADR was higher in the AI group (60%) than in the control group (50%), but this difference was not statistically significant (p&gt;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&gt;0.05), indicating that AI did not delay the procedure<\/p>\n<h2><strong>Conclusions:<\/strong><\/h2>\n<p>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.<\/p>","protected":false},"excerpt":{"rendered":"<p>Background: 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. Aims: The aim of this study was to evaluate the impact of AI on ADRs and its concordance with histopathological diagnosis. Methods: A [&hellip;]<\/p>","protected":false},"author":14,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[9],"tags":[91,1268,294,94,1271],"class_list":["post-6301","post","type-post","status-publish","format-standard","hentry","category-original-article","tag-adenoma","tag-artificial-intelligence","tag-colonoscopy","tag-colorectal-neoplasms","tag-early-detection-of-cancer"],"acf":[],"modified_by":"Rodrigo","_links":{"self":[{"href":"https:\/\/revistaabcd.org.br\/pt-br\/wp-json\/wp\/v2\/posts\/6301","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/revistaabcd.org.br\/pt-br\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/revistaabcd.org.br\/pt-br\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/revistaabcd.org.br\/pt-br\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/revistaabcd.org.br\/pt-br\/wp-json\/wp\/v2\/comments?post=6301"}],"version-history":[{"count":2,"href":"https:\/\/revistaabcd.org.br\/pt-br\/wp-json\/wp\/v2\/posts\/6301\/revisions"}],"predecessor-version":[{"id":6304,"href":"https:\/\/revistaabcd.org.br\/pt-br\/wp-json\/wp\/v2\/posts\/6301\/revisions\/6304"}],"wp:attachment":[{"href":"https:\/\/revistaabcd.org.br\/pt-br\/wp-json\/wp\/v2\/media?parent=6301"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/revistaabcd.org.br\/pt-br\/wp-json\/wp\/v2\/categories?post=6301"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/revistaabcd.org.br\/pt-br\/wp-json\/wp\/v2\/tags?post=6301"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}