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日本窄带成像专家团队分类系统的诊断性能,使用实时越南语设置中的双焦放大

Nhan Quang Le¹, Tien Manh Huynh^1,2, Diem Thi Ngoc Vo³

¹Department of GI Endoscopy, University Medical Center Ho Chi Minh City, Ho Chi Minh City, Viet Nam.

|July 5, 2024

概括

狭带成像-双重焦点 (NBI-DF) 的JNET分类准确预测越南的结直肠多组织学. 这种方法有助于个性化治疗,避免不必要的手术.

科学领域:

胃肠病学胃肠病学
内镜成像系统的成像
在瘤学瘤学.

背景情况:

在预测结直肠多组织学和指导治疗方面,JNET分类至关重要.
使用NBI与双焦 (DF) 放大效果的有效性需要在多种人群中验证,特别是越南.

研究的目的:

评估JNET分类与NBI-DF在预测越南结肠直肠多组织学的诊断性能.

主要方法:

一项涉及739名患者和1353个病变的横截面研究,位于胡志明市大学医学中心.
实时内镜评估使用NBI-DF放大和JNET分类.
切除病变的组织病理学分析作为参考标准.

主要成果:

与JNET分类的整体一致性为86.9%.
在JNET类型1,2A,2B和3中观察到高特异性和积极的预测值.
对于区分瘤与非瘤病变的敏感度为97.8%,对于区分恶性和良性瘤的高特异性 (95.9%).
在识别深层粘膜下癌症方面表现出色 (特异性为99.8%,PPV为93.3%).

结论:

与NBI-DF的JNET分类对于预测越南的结直肠多组织学是有价值的.
这种诊断方法支持个性化治疗策略,并减少不必要的干预.

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