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Colon: Artificial Intelligence (ai) Imaging Pearls - Educational Tools | CT Scanning | CT Imaging | CT Scan Protocols - CTisus
Imaging Pearls ❯ Colon ❯ Artificial Intelligence (AI)

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  • BACKGROUND AND CONTEXT Colonoscopy is highly operator dependent, and endoscopists miss up to 30% of adenomas. Adjunct computer-aided detection devices, trained to detect preneoplastic polyps, may improve procedure quality through real-time data outputs.
    NEW FINDINGS Computer-aided detection colonoscopy increases overall adenoma detection (27% relative increase) in average-risk patients among high-quality US-based endoscopists, reflecting 1 additional adenoma resected among every 4.5 patients screened.
    LIMITATIONS Long-term follow-up studies are needed to evaluate the effect of computer-aided detection on clinical outcomes.
    IMPACT Computer-aided polyp-detection devices are ready to be introduced into routine clinical practice. Such increases in adenoma detection may reduce the incidence of interval colorectal cancers
    Computer-Aided Detection Improves Adenomas per Colonoscopy for Screening and Surveillance Colonoscopy: A Randomized Trial
    Aasma Shaukatet al.
    Gastroenterology 2022;163:732–741
  • “Adenoma detection rate (ADR) is a recognized quality indicator for colonoscopy, but it can lead to a false interpretation of a thorough examination by the “one and done” phenomenon in which after identification of 1adenomatous polyp, the endoscopist may subsequently conduct the examination with less intensity.”
    Computer-Aided Detection Improves Adenomas per Colonoscopy for Screening and Surveillance Colonoscopy: A Randomized Trial
    Aasma Shaukatet al.
    Gastroenterology 2022;163:732–741
  • “In the current study, although we found an increase in small lesions of 1 to 4 mm with the use of the CADe device (0.74 vs 0.88; 20% relative increase), we also found an increase in larger lesions of 5 to 9 mm (0.53 vs 0.68; 29% relative increase), primarily driven by increased detection in the proximal colon (proximal colon, 5 to 9 mm lesions: 0.30 vs 0.43, 44% relative increase; distal colon, 5 to 9 mm lesions: 0.23 vs 0.25, 10% relative increase). This reflects an area of considerable interest and clinical relevance, as prior studies on the efficacy of colonoscopy have shown limitations in the prevention of proximal cancers, calling into focus improved detection in the segment and part of colonoscopy quality improvement programs.”
    Computer-Aided Detection Improves Adenomas per Colonoscopy for Screening and Surveillance Colonoscopy: A Randomized Trial
    Aasma Shaukatet al.
    Gastroenterology 2022;163:732–741
  • “In summary, in high-volume endoscopists performing screening and surveillance colonoscopies in the United States, this novel CADe device improved APC, an importantquality indicator for colonoscopy that is of relevance to endoscopists, without decreasing THR.”  
    Computer-Aided Detection Improves Adenomas per Colonoscopy for Screening and Surveillance Colonoscopy: A Randomized Trial
    Aasma Shaukatet al.
    Gastroenterology 2022;163:732–741

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