南方医科大学学报

南方医科大学学报 ›› 2021, Vol. 41 ›› Issue (6): 942-946.doi: 10.12122/j.issn.1673-4254.2021.06.19

• • 上一篇    下一篇

JNET Type 2B在结直肠肿瘤内镜诊断中的应用价值

刘 明，谢佳宜，谭川川，阮晓惠，王 震，罗晓蓓，林建姣，项 立，李爱民，韩泽龙，刘思德   

  • 出版日期:2021-06-20 发布日期:2021-07-05

Japan narrow-band imaging Expert Team type 2B colorectal cancer: consistency between endoscopic prediction and pathological diagnosis

  • Online:2021-06-20 Published:2021-07-05

RichHTML

33

PDF

548

摘要： 目的 探讨影响JNET 2B分型预测病变组织病理学类型准确性的因素。方法 收集2018年7月~2021年4月南方医科大学南方医院行窄带光成像放大内镜检查诊断为JNET 2B型的261 例结直肠病变资料，分析影响JNET 2B型诊断病变病理性质的因素，包括病灶形态、大小、位置及PP分型。结果 纳入的261个病变包括低级别上皮内瘤变91 例（34.9%），高级别上皮内瘤变132例（50.6%），黏膜下浅层浸润癌13 例（5.0%），黏膜下深层浸润癌25 例（9.6%）。JNET 2B病理预测符合率为55.6%（145/261）。病灶的形态学分类及大小与JNET 2B分型预测病变组织病理学类型准确性的差异有统计学意义（P<0.001），PP分型对JNET 2B预测病变组织病理学类型准确性的差异具有统计学意义（P<0.001）。结论 结直肠病灶的形态学分类和病灶大小会对JNET 2B分型预测病变组织病理学类型准确性产生影响，联合JNET分型和PP分型能提高病变病理组织学预测的准确性。

关键词: 结直肠肿瘤；JNET 2B分型；窄带光成像放大内镜

Abstract: Objective To explore the potential factors that affect the accuracy of endoscopic diagnosis for Japan narrow-band imaging (NBI) Expert Team (JNET) type 2B colorectal lesions. Methods The clinical data were collected from 261 patients with JNET type 2B colorectal lesions diagnosed in Nanfang Hospital between July, 2018 and July, 2021. We analyzed the macroscopic type, size, location or pit pattern classification of the lesions for their potential influence of the diagnostic accuracy of JNET type 2B lesions. Results The 261 lesions included 91 low-grade intramucosal neoplasia lesions (34.9%), 132 high-grade intramucosal neoplasia lesions (50.6%), 13 submucosal invasive cancer lesions (5.0%), and 25 deep submucosal invasive cancer lesions (9.6%). The coincidence rate between endoscopic prediction and pathological diagnosis of these lesions was 55.6% (145/261). The macroscopic type and size of the lesions were significantly associated with the diagnostic accuracy of JNET type 2B lesions (P<0.001). There was a significant difference in the diagnostic accuracy among the lesions with different pit pattern types (P<0.001). Conclusion Both the macroscopic type and size affect the accuracy of endoscopic diagnosis of JNET type 2B colorectal lesions. JNET classification combined with pit pattern types can have better accuracy in predicting the pathological diagnosis of these lesions.

Key words: colorectal neoplasms; Japan narrow-band imaging Expert Team classification, type 2B; magnifying endoscopy combined with narrow band imaging