Literature DB >> 19251016

Recognition of surface mucosal and vascular patterns of colon polyps by using narrow-band imaging: interobserver and intraobserver agreement and prediction of polyp histology.

Amit Rastogi1, Krishna Pondugula, Ajay Bansal, Sachin Wani, John Keighley, Jason Sugar, Peggy Callahan, Prateek Sharma.   

Abstract

BACKGROUND: The 2 main types of colon polyps are adenomas and hyperplastic. Pit patterns on the surface of polyps have been described by using magnification chromoendoscopy, which can help differentiate between polyp types. Narrow band imaging (NBI) is a novel technology that enhances the visualization of surface mucosal and vascular patterns on the polyp surface. Earlier we described, in a pilot study, patterns seen on the polyp surface with NBI that can help differentiate between adenomas and hyperplastic polyps with a high degree of accuracy.
OBJECTIVE: The aim of this study was to evaluate the interobserver and intraobserver agreement (among endoscopists) for the NBI surface mucosal and vascular patterns and prediction of polyp histology and the accuracy of the investigators to predict polyp histology based on these patterns.
SETTING: Kansas City Veterans Affairs Medical Center.
METHODS: NBI images of the polyp surface mucosal and vascular patterns obtained in our pilot trial were retrieved. A teaching set of 20 images was selected to educate and demonstrate the polyp patterns to 4 endoscopists. Subsequently, the test set of images was evaluated by the 4 endoscopists for quality, polyp pattern, and prediction of polyp type. Interobserver agreement (k value) was calculated among the 4 assessors for the polyp patterns and predicted histology. By using the final histology as the criterion standard, the accuracy of polyp-type prediction was calculated for each assessor. After a period of 2 months, all polyp images were reevaluated by the assessors (as before), and all findings were recorded in a similar fashion. These results were used for calculation of intraobserver agreement (k value) and the accuracy of the assessors in predicting polyp type.
RESULTS: Photographs of 65 polyps were included in the test set and were evaluated by the 4 assessors. Thirty-eight polyps were adenomatous, and 27 were hyperplastic. The kappa value for the interobserver agreement for polyp surface pattern was 0.57 (moderate) and for prediction of polyp type was 0.63 (substantial). The kappa value for the intraobserver agreement of the 4 assessors for the surface patterns was 0.70, 0.65, 0.60, and 0.79, and for the prediction of polyp type was 0.87, 0.71, 0.61, 0.81. The accuracy to predict polyp type ranged from 80% to 86% for the 4 assessors in the first reading and from 85% to 91% in the second reading, with every assessor showing an improvement in accuracy in the second reading. LIMITATIONS: A single-center study, with a limited number of polyps.
CONCLUSIONS: This initial evaluation showed that the NBI polyp patterns described in our pilot study are reproducible, easy to learn, reasonably accurate, and have the potential for use in daily clinical practice for the real-time differentiation of colon polyps.

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Mesh:

Year:  2009        PMID: 19251016     DOI: 10.1016/j.gie.2008.09.058

Source DB:  PubMed          Journal:  Gastrointest Endosc        ISSN: 0016-5107            Impact factor:   9.427


  26 in total

1.  Narrow band imaging to detect residual or recurrent neoplastic tissue during surveillance endoscopy.

Authors:  Jason N Rogart; Harry R Aslanian; Uzma D Siddiqui
Journal:  Dig Dis Sci       Date:  2010-06-09       Impact factor: 3.199

2.  Image-enhanced endoscopy in practice.

Authors:  Sarah McGill; Roy Soetikno; Tonya Kaltenbach
Journal:  Can J Gastroenterol       Date:  2009-11       Impact factor: 3.522

3.  Advances in colonoscopy.

Authors:  Nicholas Tutticci; Michael J Bourke
Journal:  Curr Treat Options Gastroenterol       Date:  2014-06

4.  Narrow-band imaging endoscopy with and without magnification in diagnosis of colorectal neoplasia.

Authors:  Qing-Jie Zhou; Jian-Min Yang; Bao-Ying Fei; Qi-Shun Xu; Wei-Quan Wu; Hong-Jun Ruan
Journal:  World J Gastroenterol       Date:  2011-02-07       Impact factor: 5.742

5.  i-Scan high-definition white light endoscopy and colorectal polyps: prediction of histology, interobserver and intraobserver agreement.

Authors:  Flavia Pigò; Helga Bertani; Mauro Manno; Vincenzo Mirante; Angelo Caruso; Carmelo Barbera; Raffaele Manta; Gabrio Bassotti; Gianpiero Olivetti; Rita Luisa Conigliaro
Journal:  Int J Colorectal Dis       Date:  2012-09-27       Impact factor: 2.571

6.  The role of narrow band imaging in colorectal polyp detection.

Authors:  Irina Ioana Vișovan; Marcel Tanțău; Oliviu Pascu; Lidia Ciobanu; Alina Tanțău
Journal:  Bosn J Basic Med Sci       Date:  2017-05-20       Impact factor: 3.363

7.  Real-time optical biopsy of colon polyps with narrow band imaging in community practice does not yet meet key thresholds for clinical decisions.

Authors:  Uri Ladabaum; Ann Fioritto; Aya Mitani; Manisha Desai; Jane P Kim; Douglas K Rex; Thomas Imperiale; Naresh Gunaratnam
Journal:  Gastroenterology       Date:  2012-10-03       Impact factor: 22.682

8.  Characteristic magnifying narrow-band imaging features of colorectal tumors in each growth type.

Authors:  Sayaka Takata; Shinji Tanaka; Nana Hayashi; Motomi Terasaki; Koichi Nakadoi; Hiroyuki Kanao; Shiro Oka; Shigeto Yoshida; Kazuaki Chayama
Journal:  Int J Colorectal Dis       Date:  2012-12-04       Impact factor: 2.571

Review 9.  From the surface to the single cell: Novel endoscopic approaches in inflammatory bowel disease.

Authors:  Timo Rath; Gian Eugenio Tontini; Markus F Neurath; Helmut Neumann
Journal:  World J Gastroenterol       Date:  2015-10-28       Impact factor: 5.742

Review 10.  Advanced gastrointestinal endoscopic imaging for inflammatory bowel diseases.

Authors:  Gian Eugenio Tontini; Timo Rath; Helmut Neumann
Journal:  World J Gastroenterol       Date:  2016-01-21       Impact factor: 5.742

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