Enhanced diagnostic precision of colorectal sessile lesions with blue laser imaging and JNET classification: a multicenter retrospective study in Chinese cohorts

BLI-JNET provides high diagnostic accuracy for colorectal sessile lesions in expert endoscopists, validating its clinical utility. However, trainee endoscopists exhibited significantly low accuracy, underscoring the need for structured training. The proportion of HGD/m-SMs in JNET type 2B lesions within the Chinese cohort (88.2%) was significantly higher than that reported in Japanese data (Kobayashi et al., 2019), highlighting the need to optimize classification systems by incorporating region-specific characteristics.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-05-30
DOI
https://doi.org/10.3389/fonc.2025.1534922
Citations
1
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
1.05
Controls
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article

Enhanced diagnostic precision of colorectal sessile lesions with blue laser imaging and JNET classification: a multicenter retrospective study in Chinese cohorts

Weiguang Qiao, Panpan Liu, Feng Wu, Wenxin Tan et al.
1 citations
Frontiers in Oncology
Colorectal Cancer Screening and Detection
1.05
article

Enhanced diagnostic precision of colorectal sessile lesions with blue laser imaging and JNET classification: a multicenter retrospective study in Chinese cohorts

Weiguang Qiao, Panpan Liu, Feng Wu, Wenxin Tan, Tong Xing
article en
1 citations

Abstract

BLI-JNET provides high diagnostic accuracy for colorectal sessile lesions in expert endoscopists, validating its clinical utility. However, trainee endoscopists exhibited significantly low accuracy, underscoring the need for structured training. The proportion of HGD/m-SMs in JNET type 2B lesions within the Chinese cohort (88.2%) was significantly higher than that reported in Japanese data (Kobayashi et al., 2019), highlighting the need to optimize classification systems by incorporating region-specific characteristics.

Frontiers in OncologyVol. 15
Nanfang Hospital (CN), Southern Medical University (CN)
Openalex Percentile: Top 21%
Colorectal Cancer Screening and Detection
1.05
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Enhanced diagnostic precision of colorectal sessile lesions with blue laser imaging and JNET classification: a multicenter retrospective study in Chinese cohorts — Weiguang Qiao, Panpan Liu, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS