Diagnostic value of JNET classification under narrow-band imaging for colorectal laterally spreading tumors
10.3760/cma.j.issn.1007-5232.2019.10.003
- VernacularTitle: 窄带光成像内镜下JNET分型对大肠侧向发育型肿瘤的诊断价值
- Author:
Zihua WANG
1
,
2
;
Jie YU
;
Shiying YANG
;
Hanbing XUE
Author Information
1. Division of Gastroenterology and Hepatology, Renji Hospital, School of Medicine, Shanghai Jiaotong University
2. Shanghai Institute of Digestive Disease, Shanghai 200001, China
- Publication Type:Journal Article
- Keywords:
Colorectal neoplasms;
Diagnosis;
Laterally spreading tumor;
Narrow-band imaging;
JNET classification
- From:
Chinese Journal of Digestive Endoscopy
2019;36(10):725-730
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the diagnostic efficacy of Japan Narrow Band Imaging Expert Team(JNET) classification under narrow-band imaging (NBI) for colorectal laterally spreading tumors.
Methods:Data of 170 laterally spreading tumors (LST) detected by NBI and pigment dyeing were reviewed in the retrospective study. JNET classification under NBI was used for rediagnosis based on surface pattern and vessel pattern. Pit pattern(PP) was observed under pigment dyeing using PP classification. The results were compared with histologic results after endoscopic resection or surgery.
Results:The diagnostic sensitivity, specificity, positive predictive value, negative predictive value and accuracy of JNET classification and PP classification were 92.2% VS 70.3%, 82.3% VS 85.0%, 74.7% VS 72.6%, 94.9% VS 83.5%, 85.9% VS 79.7%, respectively (P=0.159). The consistency rates of JNET classification and PP classification in predicting shallow invasion depth of LST were 6.1% and 8.3% respectively and the consistency rates in predicting deep invasion were 30.8% and 4.8%, respectively.
Conclusion:JNET classification under NBI is effective in predicting malignant laterally spreading tumors, however, its efficacy in predicting tumor invasion depth is unsatisfied. PP classification can be used to improve the diagnostic accuracy for those with diagnostic difficulty.
