ArticleAnnals of surgical oncology2025
Endoscopic Image-Based Prediction of Esophageal Stenosis after ESD Using Mucosal Defect Metrics.
Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- ASO Author Reflections: Quantitative Mucosal Defect Metrics-A Paradigm Shift in Predicting Post-ESD Esophageal Stenosis.Annals of surgical oncology · 2025Article
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Authors and funding
10 authors.
Funding
Abstract
backgroundStricture is a major adverse event following esophageal endoscopic submucosal dissection (ESD). Although postoperative esophageal stenosis after ESD is clearly associated with large mucosal defects, there are no quantitative criteria for the degree of the defect. We aimed to examine the predictive factors associated with the development of esophageal stenosis after ESD, and to explore quantitative indicators for predicting postoperative stenosis. PATIENTS AND
methodsA retrospective analysis of endoscopic data from patients with esophageal ESD was conducted. The area and perimeter of the resected mucosa defect were measured by Image Pro Plus 6.0. Logistic regression, receiver operating characteristic (ROC) curve, and nomogram model were adopted for analysis.
resultsThe median area of resected mucosal defect was 527.74 mm
conclusionsAccurate quantification of the area and perimeter of resected mucosa by image analysis technology can accurately predict esophageal stenosis after ESD.
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