Literature DB >> 26928372

Narrow-band Imaging International Colorectal Endoscopic Classification to predict polyp histology: REDEFINE study (with videos).

Alessandro Repici1, Camilla Ciscato2, Loredana Correale2, Raf Bisschops3, Pradeep Bhandari4, Evelien Dekker5, Oliver Pech6, Franco Radaelli7, Cesare Hassan2.   

Abstract

BACKGROUND AND AIMS: The Narrow-band Imaging International Colorectal Endoscopic (NICE) Classification has been validated for differentiating hyperplastic from adenomatous polyps. This classification system was based on narrow-band imaging (NBI) technology, leaving uncertainty regarding its applicability to other systems. The aim of this study was to assess accuracy and reliability of histologic predictions for polyps <1 cm by applying the NICE classification to the Fujinon Spectral Imaging Color Enhancement (FICE) System.
METHODS: A video library of 55 polyps <1 cm histologically verified with FICE was prospectively created, including polyps that fulfilled inclusion criteria (morphology, size, histology) in consecutive colonoscopies. Six endoscopists with experience in electronic chromoendoscopy independently reviewed the polyp images, scored the polyps as adenomatous or hyperplastic, and assigned a level of confidence to the predictions. Twenty videos were reassessed at 6 months. The diagnostic performances of the endoscopists was calculated both combined and individually according to the histopathology of the polyps. A mixed-effect logistic regression model, in which polyps were considered as random effects, and polyp histology, confidence level, and readers were considered as fixed effects, was used. Results were expressed as odds ratios (ORs) with 95% confidence intervals (CIs).
RESULTS: Of the 55 polyps (mean size 4.6 mm), 29 (53%) were adenomas, and 26 (47%) were hyperplastic. Across all the readers and observations, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and area under the curve (AUC) were 77%, 75%, 88%, 75%, 77%, and 0.82, respectively. Individual rater accuracy ranged from 66% to 96%, being <90% in 5 of 6 cases. Overall, 68.5% of predictions (226/330) were made with high confidence, although there was high variability (Fleiss kappa, 0.15; 95% CI, 0.08-0.22). Sensitivity, specificity, PPV, NPV, accuracy, and AUC for predictions made with high confidence were 81%, 80.5%, 80%, 77%, 82%, and 0.88 being significantly more accurate as compared with a low confidence of diagnosis (OR 2.4; 95% CI, 1.2-4.7). Regarding the performance of the individual NICE criteria, the odds of adenoma detection were 3.4 (95% CI, 1.8-6.3) and 4.0 (95% CI, 2.1-7.5) by using surface and vessels patterns alone, as compared with the color criterion. Interrater and intrarater agreement with the NICE was only moderate (interrater: Fleiss kappa, 0.51; 95% CI, 0.44-0.56; intrarater: kappa, 0.40; 95% CI, 0.20-0.60).
CONCLUSIONS: The application of the NICE classification to FICE resulted in suboptimal accuracy and only moderate interobserver agreement.
Copyright © 2016. Published by Elsevier Inc.

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Year:  2016        PMID: 26928372     DOI: 10.1016/j.gie.2016.02.020

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


  4 in total

1.  The Role of Chromoendoscopy in Evaluating Colorectal Dysplasia.

Authors:  Anna M Buchner
Journal:  Gastroenterol Hepatol (N Y)       Date:  2017-06

2.  Optical diagnosis of colorectal polyps with Blue Light Imaging using a new international classification.

Authors:  Sharmila Subramaniam; Bu Hayee; Patrick Aepli; Erik Schoon; Milan Stefanovic; Kesavan Kandiah; Sreedhari Thayalasekaran; Asma Alkandari; Paul Bassett; Emmanuel Coron; Oliver Pech; Cesare Hassan; Helmut Neumann; Raf Bisschops; Alessandro Repici; Pradeep Bhandari
Journal:  United European Gastroenterol J       Date:  2019-01-06       Impact factor: 4.623

Review 3.  Artificial intelligence-assisted colonoscopy: a narrative review of current data and clinical applications.

Authors:  James Weiquan Li; Lai Mun Wang; Tiing Leong Ang
Journal:  Singapore Med J       Date:  2022-03       Impact factor: 3.331

4.  Visibility evaluation of colorectal lesion using texture and color enhancement imaging with video.

Authors:  Naoto Tamai; Hideka Horiuchi; Hiroaki Matsui; Hiroto Furuhashi; Shunsuke Kamba; Akira Dobashi; Kazuki Sumiyama
Journal:  DEN open       Date:  2022-01-11
  4 in total

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