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Diagnostic value of JNET classification for colorectal neoplasms / 中华消化内镜杂志
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-711503
Biblioteca responsável: WPRO
ABSTRACT
Objective To evaluate the clinical value of JNET classification using magnifying endoscopy with narrow-band imaging(ME-NBI)on diagnosis of colorectal neoplastic lesions. Methods A total of 110 colorectal neoplastic lesions detected by conventional colonoscopy were assessed by ME-NBI,and the histology was predicted according to characteristics of vessel pattern and surface pattern with JNET classification and Kudo classification,respectively. The results were compared with actual histologic findings of these lesions. Results The diagnostic sensitivity, specificity, positive predictive value, negative predictive value,and accuracy of overall JNET classification with ME-NBI for colorectal neoplastic lesions was 96.2%(75/78),93.8%(30/32),97.4%(75/77),90.9%(30/33), and 95.5%(105/110), respectively. The corresponding indicators of overall Kudo classification with ME-NBI was 92.3%(72/78), 81.3%(26/32),92.3%(72/78),81.3%(26/32),and 89.1%(98/110),respectively,with no significant difference compared to JNET classification(P=0.077). Diagnostic accuracy of JNET classification was 92.3%(36/39)in the polyps with diameter of 1 to 5 mm,93.8%(15/16)in the polyps with diameter of 6 to 10 mm,98.2%(54/55)in the polyps with diameter more than 10 mm, and those diagnostic accuracies had no significant difference(P=0.345). Conclusion JNET classification with ME-NBI is effective in distinguishing neoplastic from non-neoplastic colorectal lesions.

Texto completo: Disponível Base de dados: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo diagnóstico / Estudo prognóstico Idioma: Chinês Revista: Chinese Journal of Digestive Endoscopy Ano de publicação: 2018 Tipo de documento: Artigo
Texto completo: Disponível Base de dados: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo diagnóstico / Estudo prognóstico Idioma: Chinês Revista: Chinese Journal of Digestive Endoscopy Ano de publicação: 2018 Tipo de documento: Artigo
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