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ORIGINAL RESEARCH article
Front. Oncol.
Sec. Gastrointestinal Cancers: Colorectal Cancer
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1534922
This article is part of the Research TopicAdvances in Medical Imaging for Precision Diagnostic and Therapeutic Applications in Digestive DiseasesView all 8 articles
Enhanced Diagnostic Precision of Colorectal Sessile Lesions with Blue Laser Imaging and JNET Classification: A multicenter Retrospective Study in Chinese Cohorts
Provisionally accepted- 1Department of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
- 2Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Background Colorectal cancer (CRC), a leading global malignancy, underscores the need for precise endoscopic diagnosis. Blue Laser Imaging (BLI), a novel endoscopic technology enhancing mucosal surface visualization, combined with the Japan NBI Expert Team (JNET) classification, has shown promise in characterizing colorectal lesions. However, its diagnostic performance in Chinese populations and the impact of endoscopist experience remain underexplored.In this multicenter, retrospective study, 131 colorectal sessile lesions were enrolled.The lesions' characteristics were assessed by both expert and trainee endoscopists, utilizing magnified BLI in combination with the JNET classification system to establish diagnostic predictions. This approach allowed for a comparative evaluation of diagnostic accuracy between experienced and less experienced practitioners.Pathological diagnoses confirmed 2 hyperplastic/sessile serrated lesions (HP/SSL), and 70 low-grade dysplasia (LGD) among the 131 lesions. There were 36 high-grade dysplasia (HGD), 16 superficial submucosal invasive cancers (m-SMs), and 7 deep submucosal invasive cancers (SM-d) demonstrated. The performance metrics for expert and trainee endoscopists in evaluating JNET type 2A(LGD) were as follows: expert endoscopists demonstrated a sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of 93%, 93.3%, 94.3%, 91.8%, and 93.1%, respectively; trainee endoscopists showed a sensitivity, specificity,
Keywords: Blue laser imaging (BLI), colorectal cancer, colorectal sessile lesions, Pathological prediction, Japan NBI Expert Team (JNET) classification
Received: 27 Nov 2024; Accepted: 11 Apr 2025.
Copyright: © 2025 Wu, Tan, Liu, Qiao and Xing. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Feng Wu, Department of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
Weiguang Qiao, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
Tongyin Xing, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.