Literature DB >> 23980563

Endocytoscopy can provide additional diagnostic ability to magnifying chromoendoscopy for colorectal neoplasms.

Shin-ei Kudo1, Yuichi Mori, Kunihiko Wakamura, Nobunao Ikehara, Katsuro Ichimasa, Yoshiki Wada, Makoto Kutsukawa, Masashi Misawa, Toyoki Kudo, Takemasa Hayashi, Hideyuki Miyachi, Haruhiro Inoue, Shigeharu Hamatani.   

Abstract

BACKGROUND AND AIM: Pit pattern (PIT) diagnosis with magnifying chromoendoscopy is effective diagnostic method for predicting a massively invasive submucosal colorectal cancer (SMm) which has possibility of metastasis, whereas endocytoscopy (EC) is recently reported to provide excellent diagnostic ability by enabling in vivo cellular visualization. The aim was to assess the additional diagnostic value of EC to PIT for diagnosing colorectal lesions.
METHODS: We conducted a retrospective comparative analysis using a prospectively recorded database in a referral hospital. The subjects were 538 patients who were detected of a colorectal lesion with use of a magnifying colonoscope with EC capability. Each detected lesion was initially diagnosed by PIT findings followed by EC diagnosis by the on-site endoscopist. The diagnostic abilities in predicting neoplastic change and SMm were compared between PIT and PIT plus EC.
RESULTS: Overall, 514 lesions from 455 patients were available for analysis. Of them, there were 58 non-neoplastic lesions, 352 adenomas, 15 slightly invasive submucosal cancers, and 89 SMm. The diagnostic abilities of predicting neoplastic change were comparable between PIT and PIT plus EC: sensitivity was 97.8% versus 97.4%, specificity was 91.4% versus 89.7%, and accuracy was 97.1% versus 96.5%. Regarding those of predicting SMm, PIT plus EC showed additional specificity and accuracy to PIT: specificity was 99.1% versus 97.6% (P = 0.041), and accuracy was 96.3% versus 93.8% (P = 0.004).
CONCLUSIONS: Though PIT has feasible diagnostic ability for predicting both neoplastic change and SMm, EC provides additional diagnostic value to PIT diagnosis for predicting SMm.
© 2013 Journal of Gastroenterology and Hepatology Foundation and Wiley Publishing Asia Pty Ltd.

Entities:  

Keywords:  colorectal cancer; comparative study; endoscopy

Mesh:

Substances:

Year:  2014        PMID: 23980563     DOI: 10.1111/jgh.12374

Source DB:  PubMed          Journal:  J Gastroenterol Hepatol        ISSN: 0815-9319            Impact factor:   4.029


  7 in total

1.  Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts.

Authors:  Masashi Misawa; Shin-Ei Kudo; Yuichi Mori; Kenichi Takeda; Yasuharu Maeda; Shinichi Kataoka; Hiroki Nakamura; Toyoki Kudo; Kunihiko Wakamura; Takemasa Hayashi; Atsushi Katagiri; Toshiyuki Baba; Fumio Ishida; Haruhiro Inoue; Yukitaka Nimura; Msahiro Oda; Kensaku Mori
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-02-28       Impact factor: 2.924

2.  Endoscopic imaging.

Authors:  Vani J A Konda
Journal:  Curr Treat Options Gastroenterol       Date:  2015-06

Review 3.  Endocytoscopy: technology and clinical application in the lower GI tract.

Authors:  Hiroyuki Takamaru; Shih Yea Sylvia Wu; Yutaka Saito
Journal:  Transl Gastroenterol Hepatol       Date:  2020-07-05

Review 4.  Narrow Band Imaging, Magnifying Chromoendoscopy, and Gross Morphological Features for the Optical Diagnosis of T1 Colorectal Cancer and Deep Submucosal Invasion: A Systematic Review and Meta-Analysis.

Authors:  Y Backes; A Moss; J B Reitsma; P D Siersema; L M G Moons
Journal:  Am J Gastroenterol       Date:  2016-09-20       Impact factor: 10.864

5.  Use of endocytoscopy for identification of sessile serrated adenoma/polyps and hyperplastic polyps by quantitative image analysis of the luminal areas.

Authors:  Yushi Ogawa; Shin-Ei Kudo; Yuichi Mori; Nobunao Ikehara; Yasuharu Maeda; Kunihiko Wakamura; Masashi Misawa; Toyoki Kudo; Takemasa Hayashi; Hideyuki Miyachi; Atsushi Katagiri; Fumio Ishida; Haruhiro Inoue
Journal:  Endosc Int Open       Date:  2017-08-07

Review 6.  Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient's Stratification.

Authors:  Octav Ginghina; Ariana Hudita; Marius Zamfir; Andrada Spanu; Mara Mardare; Irina Bondoc; Laura Buburuzan; Sergiu Emil Georgescu; Marieta Costache; Carolina Negrei; Cornelia Nitipir; Bianca Galateanu
Journal:  Front Oncol       Date:  2022-03-08       Impact factor: 6.244

Review 7.  Application of Artificial Intelligence in the Detection and Characterization of Colorectal Neoplasm.

Authors:  Kyeong Ok Kim; Eun Young Kim
Journal:  Gut Liver       Date:  2021-05-15       Impact factor: 4.519

  7 in total

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