ISSN |
1007-9327 (print) and 2219-2840 (online) |
Open Access |
This is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved. |
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Gastroenterology & Hepatology |
Manuscript Type |
Retrospective Study |
Article Title |
Prediction of colorectal tumor grade and invasion depth through narrow-band imaging scoring
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Yasuhiko Maeyama, Keiichi Mitsuyama, Tetsuhiro Noda, Shiuchiro Nagata, Tsutomu Nagata, Shinichiro Yoshioka, Hikaru Yoshida, Michita Mukasa, Hiroaki Sumie, Hiroshi Kawano, Jun Akiba, Yuko Araki, Tatsuyuki Kakuma, Osamu Tsuruta and Takuji Torimura |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Keiichi Mitsuyama, MD, PhD, Manager, Full Professor, Division of Gastroenterology, Department of Medicine, Kurume University School of Medicine, 67 Asahi-machi, Kurume 830-0011, Japan. ibd@med.kurume-u.ac.jp |
Key Words |
Colorectal cancer; Magnifying narrow-band imaging; Score; Surface pattern; Vascular pattern |
Core Tip |
While magnifying endoscopy with narrow-band imaging (NBI) has been integrated into diagnostic histopathology, universal standardized criteria for differentiating non-neoplastic lesions, benign adenomas, and malignant neoplasms using NBI are urgently needed. We propose a multivariate statistical model for predicting the tumor grade and invasion depth from NBI finding scores. A total NBI-finding score ≥ 1 is indicative of a high tumor grade (sensitivity: 0.97; specificity: 0.24), while a score ≥ 9 (sensitivity: 0.56; specificity: 1.0) is predictive of a submucosa invasion depth ≥ 1000 µm. Our model may help to standardize the diagnosis of colorectal lesions and inform therapeutic strategies. |
Publish Date |
2018-11-13 08:04 |
Citation |
Maeyama Y, Mitsuyama K, Noda T, Nagata S, Nagata T, Yoshioka S, Yoshida H, Mukasa M, Sumie H, Kawano H, Akiba J, Araki Y, Kakuma T, Tsuruta O, Torimura T. Prediction of colorectal tumor grade and invasion depth through narrow-band imaging scoring. World J Gastroenterol 2018; 24(42): 4809-4820 |
URL |
http://www.wjgnet.com/1007-9327/full/v24/i42/4809.htm |
DOI |
http://dx.doi.org/10.3748/wjg.v24.i42.4809 |