Diagnostic efficacy of the Japan Narrow-band-imaging Expert Team and Pit pattern classifications for colorectal lesions: A meta-analysis

作     者：Yu Zhang Hui-Yan Chen Xiao-Lu Zhou Wen-Sheng Pan Xin-Xin Zhou Hang-Hai Pan 

作者机构：Department of GastroenterologyZhejiang Provincial People’s HospitalPeople’s Hospital of Hangzhou Medical CollegeHangzhou 310014Zhejiang ProvinceChina School of Laboratory Medicine and Life SciencesWenzhou Medical UniversityWenzhou 325035Zhejiang ProvinceChina Department of Medical CollegeThe Medical College of Qingdao UniversityQingdao 266071Shandong ProvinceChina Department of GastroenterologyThe First Affiliated HospitalZhejiang UniversityHangzhou 310003Zhejiang ProvinceChina 

出 版 物：《World Journal of Gastroenterology》 (世界胃肠病学杂志（英文版）)

年 卷 期：2020年第26卷第40期

页      面：6279-6294页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

基　　金：Supported by the Natural Science Foundation of Zhejiang Province,No. LQ20H160061 Medical Health Science and Technology Project of Zhejiang Provincial Health Commission,No. 2018255969 

主　　题：Colorectal neoplasms Colonoscopy Chromoendoscopy Japan Narrow-band-imaging Expert Team Pit pattern Meta-analysis 

摘      要：BACKGROUND Pit pattern classification using magnifying chromoendoscopy is the established method for diagnosing colorectal lesions. The Japan Narrow-band-imaging(NBI) Expert Team(JNET) classification is a novel NBI magnifying endoscopic classification that focuses on the vessel, and surface *** To determine the diagnostic efficacy of each category of the JNET and Pit pattern classifications for colorectal *** A systematic literature search was performed using PubMed, Embase, the Cochrane Library, and Web of Science databases. The pooled sensitivity, specificity, diagnostic odds ratio, and area under the summary receiver operating characteristic curve of each category of the JNET and Pit pattern classifications were *** A total of 19227 colorectal lesions in 31 studies were included. The diagnostic performance of the JNET classification was equivalent to the Pit pattern classification in each corresponding category. The pooled sensitivity, specificity,and area under the curve(AUC) for each category of the JNET classification were as follows: 0.73(95%CI: 0.55-0.85), 0.99(95%CI: 0.97-1.00), and 0.97(95%CI: 0.95-0.98), respectively, for Type 1;0.88(95%CI: 0.78-0.94), 0.72(95%CI: 0.64-0.79), and 0.84(95%CI: 0.81-0.87), respectively, for Type 2 A;0.56(95%CI: 0.47-0.64), 0.91(95%CI: 0.79-0.96), and 0.72(95%CI: 0.68-0.76), respectively, for Type 2 B;0.51(95%CI: 0.42-0.61), 1.00(95%CI: 1.00-1.00), and 0.90(95%CI: 0.87-0.93), respectively, for Type *** This meta-analysis suggests that the diagnostic efficacy of the JNET classification may be equivalent to that of the Pit pattern classification. However, due to its simpler and clearer clinical application, the JNET classification should be promoted for the classification of colorectal lesions, and to guide the treatment strategy.