A nomogram for predicting non-curative resection in patients with early gastric cancer based on white light imaging

Endoscopic submucosal dissection (ESD) is an effective treatment with minimal invasiveness for early gastric cancer (EGC). However, cases undergoing non-curative resection (NCR) may still undergo additional surgical procedures. We aimed to analyze the features of NCR under white light imaging (WLI), and develop a prediction model to assess the risk of NCR before ESD. We retrospectively collected and analyzed WLI and clinicopathological features of 568 EGC patients undergoing ESD between March 2016 and March 2024. A nomogram was developed on 455 patients from the training set after subgroup difference analysis. 91 out of 568 (16.0%) cases had NCR. WLI features including remarkable redness, ulceration, fold convergence, marginal elevation, whitish mucosal change, larger lesions, and Helicobacter pylori (Hp) infection were associated with independent risk factors for NCR. The nomogram based on these features showed good predictive value for NCR, with an area under the curve (AUC) of 0.8095 (95% CI: 0.7538-0.8651) in the training set and 0.7567 (95% CI: 0.6427-0.8707) in the validation set. We developed a nomogram incorporating WLI features that exhibits good predictive performance and could potentially assist in selecting optimal treatment strategies for EGC.

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Publication Details

Journal
Scientific Reports
Published
2025-08-22
DOI
https://doi.org/10.1038/s41598-025-16047-9
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00

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article

A nomogram for predicting non-curative resection in patients with early gastric cancer based on white light imaging

Congcong Min, Hao Chen, Mengyu Cao, Linlin Ren et al.
Scientific Reports
Gastric Cancer Management and Outcomes
article

A nomogram for predicting non-curative resection in patients with early gastric cancer based on white light imaging

Congcong Min, Hao Chen, Mengyu Cao, Linlin Ren, Xiaoyu Li, Tao Mao, Hua Liu, Jiahui Xu, Zibin Tian, Zeyuan Diao
article en

Abstract

Endoscopic submucosal dissection (ESD) is an effective treatment with minimal invasiveness for early gastric cancer (EGC). However, cases undergoing non-curative resection (NCR) may still undergo additional surgical procedures. We aimed to analyze the features of NCR under white light imaging (WLI), and develop a prediction model to assess the risk of NCR before ESD. We retrospectively collected and analyzed WLI and clinicopathological features of 568 EGC patients undergoing ESD between March 2016 and March 2024. A nomogram was developed on 455 patients from the training set after subgroup difference analysis. 91 out of 568 (16.0%) cases had NCR. WLI features including remarkable redness, ulceration, fold convergence, marginal elevation, whitish mucosal change, larger lesions, and Helicobacter pylori (Hp) infection were associated with independent risk factors for NCR. The nomogram based on these features showed good predictive value for NCR, with an area under the curve (AUC) of 0.8095 (95% CI: 0.7538-0.8651) in the training set and 0.7567 (95% CI: 0.6427-0.8707) in the validation set. We developed a nomogram incorporating WLI features that exhibits good predictive performance and could potentially assist in selecting optimal treatment strategies for EGC.

Scientific ReportsVol. 15(1)
Qingdao University (CN), Affiliated Hospital of Qingdao University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 68%
Gastric Cancer Management and Outcomes
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