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联合彩色成像与NICE分类系统用于结肠息肉的光学诊断:用于病理预测的新型图像增强内镜技术

Linked-color imaging combined with the NICE classification system for optical diagnosis of colon polyps: new image-enhanced endoscopic technology for pathological prediction.

作者信息

Wu Chi-Huan, Chen Tsung-Hsing, Hsu Chen-Ming, Su Ming-Yao, Chiu Cheng-Tang, Wu Ren-Chin, Lai Cheng-Chou

机构信息

Department of Gastroenterology and Hepatology, Linkou Medical Center, Chang Gung Memorial Hospital, Taoyuan.

Chang Gung University, College of Medicine, Taoyuan.

出版信息

Ther Clin Risk Manag. 2017 Oct 3;13:1317-1321. doi: 10.2147/TCRM.S147155. eCollection 2017.

Abstract

INTRODUCTION

Linked-color imaging (LCI) is a recently developed system used in endoscopy. It creates clear and bright endoscopic images using short-wavelength, narrow-band laser light combined with white laser light. The illuminating light and signal processing emphasize slight color differences in abnormal regions that approximate the normal color of the mucosa. As a result, regions initially appearing red become a deeper shade of red, while regions originally appearing white become brighter, yet with natural tones. This process facilitates recognition of slight differences in the color of the mucosa and clarifies the boundaries of the mucosal pit.

AIM

To determine whether LCI of the colon can improve the correlation between endoscopic findings and pathological diagnosis.

METHODS

Consecutive patients who underwent colonoscopy requiring polypectomy or removal by biopsy forceps if possible were recruited. Probable polyp histology was assessed by two endoscopists using the Narrow-band imaging International Colorectal Endoscopic (NICE) classification and LCI data. All detected polyps were sent to the pathology department for pathological diagnosis by two pathologists.

RESULTS

In total, 94 polyps were found in 43 patients. The sensitivity, specificity, positive predictive value, and negative predictive value for neoplastic lesion prediction (NICE type2/3) were 96.5%, 83.8%, 90.2%, and 93.9%, respectively.

CONCLUSION

LCI combined with the NICE classification system is a powerful tool for predicting probable histology of colon polyps.

摘要

引言

联动成像(LCI)是一种最近开发的用于内镜检查的系统。它使用短波长、窄带激光与白色激光相结合,创建清晰明亮的内镜图像。照明光和信号处理强调异常区域中与黏膜正常颜色相近的轻微颜色差异。结果,最初呈现红色的区域变成更深的红色,而最初呈现白色的区域变得更亮,但仍保持自然色调。这一过程有助于识别黏膜颜色的细微差异,并清晰显示黏膜凹陷的边界。

目的

确定结肠的联动成像是否能改善内镜检查结果与病理诊断之间的相关性。

方法

招募了连续接受结肠镜检查且如有可能需进行息肉切除或活检钳切除的患者。两名内镜医师使用窄带成像国际结直肠内镜(NICE)分类和联动成像数据评估可能的息肉组织学。所有检测到的息肉均送至病理科由两名病理学家进行病理诊断。

结果

43例患者共发现94个息肉。肿瘤性病变预测(NICE 2/3型)的敏感性、特异性、阳性预测值和阴性预测值分别为96.5%、83.8%、90.2%和93.9%。

结论

联动成像与NICE分类系统相结合是预测结肠息肉可能组织学的有力工具。

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