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White light endoscopy narrow band imaging and chromoendoscopy with magnification in diagnosing colorectal neoplasia

机译:白光内窥镜检查窄带成像和色内窥镜检查在大肠肿瘤的诊断中的应用

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摘要

AIM: To evaluate the sensitivity (Sn), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV) of 3 different techniques: high resolution white light endoscopy (WLE), Narrow Band Imaging (NBI) and Chromoendoscopy (CHR), all with magnification in differentiating adenocarcinomas, adenomatous and hyperplastic colorectal polyps.METHODS: Each polyp was sequentially assessed first by WLE, followed by NBI and finally by CHR. Digital images of each polyp with each modality were taken and stored. Biopsies or polypectomies were then performed followed by blinded histopathological analysis. Each image was blindly graded based on the Kudo’s pit pattern (KPP). In the assessment with NBI, the mesh brown capillary network pattern (MBCN) of each polyp was also described. The Sn, Sp, PPV and NPV of differentiating hyperplastic (Type I & II-KPP, Type I-MBCN) adenomatous (Types III, IV-KPP, Type II-MBCN) and carcinomatous polyps (Type V-KPP, Type III-MCBN) was then compared with reference to the final histopathological diagnosis.RESULTS: A total of 50 colorectal polyps (5 adenocarcinomas, 38 adenomas, 7 hyperplastic) were assessed. CHR and NBI [KPP, MBCN or the combined classification (KPP & MBCN)] were superior to WLE in the prediction of polyp histology (P < 0.001, P = 0.002, P = 0.001 and P < 0.001, respectively). NBI, using the MBCN pattern or the combined classification showed higher numerical accuracies compared to CHR, but this was not statistically significant (P = 0.625, 0.250).CONCLUSION: This feasibility study demonstrated that this combined classification with NBI could potentially be useful in routine clinical practice, allowing the endoscopist to predict histology with higher accuracies using a less cumbersome and technically less challenging method.
机译:目的:评估三种不同技术的灵敏度(Sn),特异性(Sp),阳性预测值(PPV)和阴性预测值(NPV):高分辨率白光内窥镜检查(WLE),窄带成像(NBI)和色内镜检查(CHR),在区分腺癌,腺瘤性和增生性结直肠息肉时均会放大。方法:首先对每个息肉先进行WLE评估,然后依次进行NBI和CHR评估。拍摄并存储每个息肉具有各种形态的数字图像。然后进行活检或多视镜检查,然后进行盲法病理组织学分析。每张图片都是根据工藤的凹纹(KPP)进行盲目分级的。在使用NBI进行评估时,还描述了每个息肉的网状棕色毛细管网络模式(MBCN)。鉴别性增生性腺瘤(III型,IV-KPP型,II型-MBCN型)和癌性息肉(V-KPP型,III-型)的Sn,Sp,PPV和NPV结果:共评估了50例结直肠息肉(5例腺癌,38例腺瘤,7例增生性癌)。 CHR和NBI [KPP,MBCN或组合分类(KPP和MBCN)]在预测息肉组织学方面优于WLE(分别为P <0.001,P = 0.002,P = 0.001和P <0.001)。与MBR模式相比,使用MBCN模式或组合分类的NBI显示出更高的数值精度,但在统计上并不显着(P = 0.625,0.250)。结论:这项可行性研究表明,与NBI进行组合分类可能在常规中有用临床实践,使内镜医师可以使用较少的麻烦和技术上较少挑战的方法以较高的准确性预测组织学。

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