Abstract
Endocytoscopy (EC; CF-290ECI, Olympus Corp.), which involves a contact light microscopy system of 520-fold integrated into the distal tip of a conventional colonoscope, is a novel emerging endoscopic system. In contrast to normal magnifying endoscopy, the ultra-magnification capability of EC allows on-site cellular observation, which contributes to EC’s good consistency in assessing the histopathology of lesions in the gastrointestinal tract. This special function also contributes to the high diagnostic accuracy in identifying massively invasive submucosal cancers (T1b cancers). According to the previous studies, EC provided additional diagnostic values to conventional magnifying endoscopy in predicting the histology of T1b cancers. Additionally, automated diagnostic system powered by artificial intelligence to support the endoscopists’ decision is being developed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kudo SE, Misawa M, Wada Y, Nakamura H, Kataoka S, Maeda Y, et al. Endocytoscopic microvasculature evaluation is a reliable new diagnostic method for colorectal lesions (with video). Gastrointest Endosc. 2015;82(5):912–23.
Kudo SE, Mori Y, Wakamura K, Ikehara N, Ichimasa K, Wada Y, et al. Endocytoscopy can provide additional diagnostic ability to magnifying chromoendoscopy for colorectal neoplasms. J Gastroenterol Hepatol. 2014;29(1):83–90.
Mori Y, Kudo S, Ikehara N, Wakamura K, Wada Y, Kutsukawa M, et al. Comprehensive diagnostic ability of endocytoscopy compared with biopsy for colorectal neoplasms: a prospective randomized noninferiority trial. Endoscopy. 2013;45(2):98–105.
Kudo SE, Wakamura K, Ikehara N, Mori Y, Inoue H, Hamatani S. Diagnosis of colorectal lesions with a novel endocytoscopic classification—a pilot study. Endoscopy. 2011;43(10):869–75.
Andre B, Vercauteren T, Buchner AM, Krishna M, Ayache N, Wallace MB. Software for automated classification of probe-based confocal laser endomicroscopy videos of colorectal polyps. World J Gastroenterol. 2012;18(39):5560–9.
Gross S, Trautwein C, Behrens A, Winograd R, Palm S, Lutz HH, et al. Computer-based classification of small colorectal polyps by using narrow-band imaging with optical magnification. Gastrointest Endosc. 2011;74(6):1354–9.
Takemura Y, Yoshida S, Tanaka S, Kawase R, Onji K, Oka S, et al. Computer-aided system for predicting the histology of colorectal tumors by using narrow-band imaging magnifying colonoscopy (with video). Gastrointest Endosc. 2012;75(1):179–85.
Tischendorf JJ, Gross S, Winograd R, Hecker H, Auer R, Behrens A, et al. Computer-aided classification of colorectal polyps based on vascular patterns: a pilot study. Endoscopy. 2010;42(3):203–7.
Kominami Y, Yoshida S, Tanaka S, Sanomura Y, Hirakawa T, Raytchev B, et al. Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy. Gastrointest Endosc. 2016;83:643–9.
Mori Y, Kudo SE, Chiu PW, Singh R, Misawa M, Wakamura K, et al. Impact of an automated system for endocytoscopic diagnosis of small colorectal lesions: an international web-based study. Endoscopy. 2016;48(12):1110–8.
Misawa M, Kudo SE, Mori Y, Nakamura H, Kataoka S, Maeda Y, et al. Characterization of colorectal lesions using a computer-aided diagnostic system for narrow-band imaging endocytoscopy. Gastroenterology. 2016;150(7):1531–2 e3.
Takeda K, Kudo S, Mori Y, Misawa M, Kudo T, Wakamura K, et al. Accuracy of diagnosing invasive colorectal cancer using computer-aided endocytoscopy. Endoscopy. 2017;49:798–802.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Mori, Y., Kudo, Se. (2020). Endocytoscopy. In: Tanaka, S., Saitoh, Y. (eds) Endoscopic Management of Colorectal T1(SM) Carcinoma. Springer, Singapore. https://doi.org/10.1007/978-981-13-6649-9_6
Download citation
DOI: https://doi.org/10.1007/978-981-13-6649-9_6
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6648-2
Online ISBN: 978-981-13-6649-9
eBook Packages: MedicineMedicine (R0)