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Reliability of Paris Classification for superficial neoplastic gastric lesions improves with training and narrow band imaging

Title
Reliability of Paris Classification for superficial neoplastic gastric lesions improves with training and narrow band imaging
Type
Article in International Scientific Journal
Year
2019
Authors
Ribeiro, H
(Author)
Other
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Castro, R
(Author)
Other
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Ferreira, A
(Author)
Other
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Barreiro, P
(Author)
Other
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Carvalho, PB
(Author)
Other
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Capela, T
(Author)
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Pedro Pimentel-Nunes
(Author)
FMUP
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Journal
Vol. 7
Pages: E633-E640
ISSN: 2364-3722
Publisher: Georg Thieme Verlag
Other information
Authenticus ID: P-00Q-KSP
Resumo (PT):
Abstract (EN): Background and study aims Paris Classification is used to classify gastrointestinal superficial neoplastic lesions and to predict presence of submucosal invasion. We aimed to evaluate interobserver reliability and agreement for this classification among Western endoscopists. Methods A total of 54 superficial gastric lesions were independently classified according to Paris classification by eight endoscopists (4 experts and 4 non-experts). Observers were asked to classify two sets of images - first, obtained with high-resolution white light (HR-WL) endoscopy and secondly, with the same HR-WL images paired with images obtained with high-resolution Narrow Band Imaging (HR-NBI) - HR-WL + NBI image group. Results Overall interobserver reliability when asked to classify in I, II or III was good both using HR-WL images and HR-WL + NBI images (wK of 0.65 and 0.70, respectively). The proportion of agreement for type III lesions was 0.48 for HR-WL images increasing to 0.74 in the HR-WL + NBI group. Interobserver reliability for identification of a IIc component was only moderate (wK 0,47). NBI improves both sensitivity and interobserver reliability among trainees (from wK 0.19 to 0.47). Specificity was higher than sensitivity in predicting submucosal invasion. Conclusion Overall, the reliability of Paris classification is moderate to good. Training on this classification or its revision and use of technology such as NBI may improve not only reliability and agreement but also accuracy.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 8
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