Clinical value of JNET classification for non-real-time diagnosis of colorectal lesions
10.3760/cma.j.issn.1007-5232.2019.05.006
- VernacularTitle:应用JNET分型非实时诊断结直肠病变的临床价值研究
- Author:
Jing ZHOU
1
;
Qingwei ZHANG
;
Jian HUANG
;
Lamei TENG
;
Zhe QIN
;
Xintian ZHANG
;
Jinnan CHEN
;
Xiaobo LI
Author Information
1. 上海交通大学医学院附属仁济医院消化内科 上海市消化疾病研究所 200001
- Keywords:
Intestinal polyp;
Diagnostic techniques;
digestive system;
Diagnostic imaging;
JNET classification
- From:
Chinese Journal of Digestive Endoscopy
2019;36(5):328-333
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the diagnostic value of Japan narrow band imaging expert team ( JNET) classification for differentiating pathological type of colorectal lesions. Methods A total of 418 colorectal lesions were retrospectively diagnosed by magnifying endoscopy with narrow band imaging ( ME-NBI) using JNET classification by two inexperienced doctors after a short time of training in JNET classification. Then lesions were diagnosed with Sano classification by the two doctors. Diagnostic results were compared with histologic findings as a golden standard. Results The sensitivity, specificity, and accuracy of JNET classification and Sano classification for neoplastic lesion differentiation were 98. 2％ VS 98. 5％, 77. 8％ VS 66. 7％, and 96. 9％ VS 96. 4％, respectively ( all P>0. 05 ) . These indicators for diagnosing cancerous lesions, including high grade intraepithelial neoplasia, intramucosal carcinoma and submucosal carcinoma, were 66. 7％ VS 80. 2％ ( P=0. 023) , 87. 6％ VS 79. 5％ ( P=0. 006) , and 82. 1％ VS 79. 7％( P=0. 379 ) , respectively, and those for predicting submucosal deep invasive cancers were 34. 8％ VS 39. 1％, 100. 0％ VS 99. 0％, and 96. 4％ VS 96. 3％, respectively ( all P>0. 05) . The diagnostic accuracy of JNET classification for differentiating neoplastic lesions were 95. 2％ in those with diameter <10 mm, 97. 0％ in 10～<20 mm, and 97. 8％ in ≥20 mm (P=0. 483), this finding were 95. 2％, 85. 1％ and 72. 1％ for cancer, respectively ( P<0. 0001 ) , and 100％, 96. 3％, and 94. 4％ for submucosal deep invasive cancer, respectively (P=0. 026). Shape and location of colorectal lesions showed no significant effect on the diagnostic efficacy of JNET classification. Conclusion JNET classification is valuable for doctors without experience of ME-NBI in diagnosing colorectal lesions and the efficiency is slightly superior to Sano classification. However, the accuracy of diagnosis for cancer with diameter ≥20 mm need to be improved.
