Clinical Applications of Linked Color Imaging and Blue Laser/Light Imaging in the Screening, Diagnosis, and Treatment of Superficial Colorectal Tumors
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Considering its contribution to reducing colorectal cancer morbidity and mortality, the most important task of colonoscopy is tofind all existing polyps. Moreover, the accurate detection of existing polyps determines the risk of colorectal cancer morbidity andis an important factor in deciding the appropriate surveillance program for patients. Image-enhanced endoscopy is an easy-tousemodality with improved lesion detection. Linked color imaging (LCI) and blue laser/light imaging (BLI) are useful modalitiesfor improving colonoscopy quality. Each mode has unique optical features; therefore, their intended use differs. LCI contributes toimproved polyp detection due to its brightness and high color contrast between the lesion and normal mucosa, while BLI contributesto the characterization of detected polyps by evaluating the vessel and surface patterns of detected lesions. The proper use of theseobservation modes allows for more efficient endoscopic diagnosis. Moreover, recent developments in artificial intelligence will soonchange the clinical practice of colonoscopy and this system will provide an efficient education modality for novice endoscopists.
Abstract
Considering its contribution to reducing colorectal cancer morbidity and mortality, the most important task of colonoscopy is tofind all existing polyps. Moreover, the accurate detection of existing polyps determines the risk of colorectal cancer morbidity andis an important factor in deciding the appropriate surveillance program for patients. Image-enhanced endoscopy is an easy-tousemodality with improved lesion detection. Linked color imaging (LCI) and blue laser/light imaging (BLI) are useful modalitiesfor improving colonoscopy quality. Each mode has unique optical features; therefore, their intended use differs. LCI contributes toimproved polyp detection due to its brightness and high color contrast between the lesion and normal mucosa, while BLI contributesto the characterization of detected polyps by evaluating the vessel and surface patterns of detected lesions. The proper use of theseobservation modes allows for more efficient endoscopic diagnosis. Moreover, recent developments in artificial intelligence will soonchange the clinical practice of colonoscopy and this system will provide an efficient education modality for novice endoscopists.
참고문헌 (25)
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