Japanese narrow band imaging expert team classification of colorectal polyps: A validation study from India.

IF 2 Q3 GASTROENTEROLOGY & HEPATOLOGY

Indian Journal of Gastroenterology Pub Date : 2025-05-20 DOI:10.1007/s12664-025-01784-6

Kayal Vizhi Nagarajan, Amit Yelsangikar, Anupama Nagar Krishnamurthy, Hima Bindu, Arun Patted, Vinay Bhat, Tripti Kaur, Naresh Bhat

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引用次数: 0

Abstract

Background: Japanese narrow band imaging expert team (JNET) classification has a diagnostic accuracy above 90% in differentiating neoplastic from non-neoplastic colonic polyps as well as estimating the depth of invasion in colorectal cancer. However, its validation outside Japan is limited to expert centers and requires magnifying endoscopes.

Aims and methods: This study aimed at validating the JNET classification prospectively in a real-world setting in India using magnifying endoscopes with dual focus. We analyzed consecutive patients with colonic polyps detected via these endoscopes. The JNET classification was compared with histopathology, the gold standard and its diagnostic accuracy was assessed.

Results: Total 203 consecutive patients with colonic polyps underwent examination using a magnifying endoscope with dual focus. In real time, 331 polyps were identified and classified based on the JNET classification. Among them, 15 polyps could not be retrieved, leaving 316 polyps for histopathological comparison in the study. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy of each JNET classification type, along with their 95% confidence intervals, are as follows. For Type-1 JNET classification, the values are 78% (69-86), 97% (94-99), 92% (84-97), 92% (87-95) and 92% (88-94), respectively. Type-2 A JNET classification has corresponding values of 92% (86-96), 84% (78-89), 82% (75-88), 93% (88-97) and 88% (84-91). For Type-2B JNET classification, the values are 45% (24-68), 97% (95-99), 56% (31-78), 96% (93-98) and 93% (90-96). Lastly, Type-3 JNET classification has values of 95% (87-99), 98% (96-100), 94% (85-98), 99% (97-100) and 98% (96-99), respectively.

Conclusions: The JNET classification has good accuracy in characterizing colonic polyps using magnifying endoscopes with dual focus. Large-volume, multicentric data is necessary to validate the findings in our study.

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日本窄带成像专家组对结直肠息肉的分类：来自印度的一项验证研究。

背景：日本窄带成像专家组（narrow band imaging expert team， JNET）分类在区分结直肠癌的肿瘤与非肿瘤性结肠息肉以及判断浸润深度方面的诊断准确率在90%以上。然而，它在日本以外的验证仅限于专家中心，并且需要放大内窥镜。目的和方法：本研究旨在使用双焦点放大内窥镜在印度的现实世界环境中前瞻性地验证JNET分类。我们分析了通过这些内窥镜检测到结肠息肉的连续患者。将JNET分类与组织病理学进行比较，评估其金标准及其诊断准确性。结果：连续203例结肠息肉患者行双聚焦放大内窥镜检查。基于JNET分类，对331个息肉进行了实时识别和分类。其中15个息肉无法取出，剩下316个息肉用于本研究的组织病理学比较。各JNET分类类型的敏感性、特异性、阳性预测值、阴性预测值、准确率及其95%置信区间分别为：Type-1 JNET分类值分别为78%（69-86）、97%（94-99）、92%（84-97）、92%（87-95）和92%（88-94）。Type-2 A JNET分类对应值分别为92%（86-96）、84%（78-89）、82%（75-88）、93%（88-97）和88%（84-91）。对于2b型JNET分类，取值分别为45%（24-68）、97%（95-99）、56%（31-78）、96%（93-98）和93%（90-96）。最后，Type-3 JNET分类值分别为95%（87-99）、98%（96-100）、94%（85-98）、99%（97-100）和98%（96-99）。结论：JNET分类在双焦放大内镜下诊断结肠息肉有较好的准确性。为了验证我们的研究结果，需要大量、多中心的数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Indian Journal of Gastroenterology GASTROENTEROLOGY & HEPATOLOGY-

CiteScore

3.90

自引率

10.00%

发文量

期刊介绍： The Indian Journal of Gastroenterology aims to help doctors everywhere practise better medicine and to influence the debate on gastroenterology. To achieve these aims, we publish original scientific studies, state-of -the-art special articles, reports and papers commenting on the clinical, scientific and public health factors affecting aspects of gastroenterology. We shall be delighted to receive articles for publication in all of these categories and letters commenting on the contents of the Journal or on issues of interest to our readers.