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Clinical Efficacy of Endocytoscopy for Gastrointestinal Endoscopy
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Masashi Misawa, Shin-ei Kudo, Yuki Takashina, Yoshika Akimoto, Yasuharu Maeda, Yuichi Mori, Toyoki Kudo, Kunihiko Wakamura, Hideyuki Miyachi, Fumio Ishida, Haruhiro Inoue
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Clin Endosc 2021;54(4):455-463. Published online July 7, 2021
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DOI: https://doi.org/10.5946/ce.2021.165
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 Abstract
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- Endocytoscopy (EC) is a contact-type optical endoscope that allows in vivo cellular observation during gastrointestinal endoscopy and is now commercially available not only in Japan but also in Asian, European Union, and Middle Eastern countries. EC helps conduct a highly accurate pathological prediction without biopsy. Initially, EC was reported to be effective for esophageal diseases. Subsequently, its efficacy for stomach and colorectal diseases has been reported. In this narrative review, we searched for clinical studies that investigated the efficacy of EC. EC seems to accurately diagnose gastrointestinal diseases without biopsy. Most of the studies aimed to clarify the relationship between endocytoscopic findings of gastrointestinal neoplasia and pathological diagnosis. Some studies have investigated non-epithelial lesions or diseases, such as inflammatory bowel disease or infectious diseases. However, there are few high-level pieces of evidence, such as randomized trials; thus, further studies are needed.
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Citations
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Clinical significance of computer-aided quality assessment systems in colonoscopy: a comprehensive review
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Wai Phyo Lwin, Katsuro Ichimasa, Shin-ei Kudo, Yuta Kouyama, Taishi Okumura, Yasuharu Maeda, Yutaro Ide, Khay Guan Yeoh, Masashi Misawa
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Received January 17, 2025 Accepted February 10, 2025 Published online March 19, 2025
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DOI: https://doi.org/10.5946/ce.2025.022
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Abstract
PubReaderePub
- Colonoscopy is the primary tool for colorectal cancer screening. High-quality colonoscopy is crucial for the detection of precancerous adenomas; however, the adenoma detection rate varies depending on the skill and experience of the endoscopist. Computer-aided quality assessment (CAQ) uses artificial intelligence (AI) technology to evaluate the quality of colonoscopy examinations. It plays an important role in reducing variations in examination quality and obtaining high-quality colonoscopic images. In this review, we focus specifically on the speedometer, effective withdrawal time, fold examination quality, bowel preparation quality assessment, and cecal intubation with CAQ systems and discuss the role and effectiveness of these systems. CAQ systems are expected to contribute to an increase in adenoma detection rates, improvement in endoscopist skills, and standardization of examination quality. However, challenges such as variability in AI performance across different clinical settings and potential overreliance on automated prompts remain key limitations.
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