Clinical Endoscopy

  • 제56권5호
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  • Pages.553-562
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  • 2023
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  • 2234-2400(pISSN)
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  • 2234-2443(eISSN)
대한소화기내시경학회 (The Korean Society of Gastrointestinal Endoscopy)
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Detecting colorectal lesions with image-enhanced endoscopy: an updated review from clinical trials

  • Mizuki Nagai (Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital) ;
  • Sho Suzuki (Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital) ;
  • Yohei Minato (Department of Gastrointestinal Endoscopy, NTT Medical Center Tokyo) ;
  • Fumiaki Ishibashi (Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital) ;
  • Kentaro Mochida (Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital) ;
  • Ken Ohata (Department of Gastrointestinal Endoscopy, NTT Medical Center Tokyo) ;
  • Tetsuo Morishita (Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital)
  • 투고 : 2023.02.23
  • 심사 : 2023.04.09
  • 발행 : 2023.09.30
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초록

Colonoscopy plays an important role in reducing the incidence and mortality of colorectal cancer by detecting adenomas and other precancerous lesions. Image-enhanced endoscopy (IEE) increases lesion visibility by enhancing the microstructure, blood vessels, and mucosal surface color, resulting in the detection of colorectal lesions. In recent years, various IEE techniques have been used in clinical practice, each with its unique characteristics. Numerous studies have reported the effectiveness of IEE in the detection of colorectal lesions. IEEs can be divided into two broad categories according to the nature of the image: images constructed using narrow-band wavelength light, such as narrow-band imaging and blue laser imaging/blue light imaging, or color images based on white light, such as linked color imaging, texture and color enhancement imaging, and i-scan. Conversely, artificial intelligence (AI) systems, such as computer-aided diagnosis systems, have recently been developed to assist endoscopists in detecting colorectal lesions during colonoscopy. To gain a better understanding of the features of each IEE, this review presents the effectiveness of each type of IEE and their combination with AI for colorectal lesion detection by referencing the latest research data.

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참고문헌

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