ArticleFrontiers in oncology2024
Development and validation of a preoperative model for predicting positive proximal margins in adenocarcinoma of the esophagogastric junction and assessing safe margin distance.
Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Strategies for Class-Imbalanced Learning in Multi-Sensor Medical Imaging.Sensors (Basel, Switzerland) · 2026Review
- QUESTIONS REGARDING SAMPLING AND VALIDATION METHODS.Shock (Augusta, Ga.) · 2025Article
- Investigating the Effects of Different Lengths of Proximal Margin for Siewert Type II and Type III Adenocarcinoma of Esophagogastric Junction on Short- and Long-Term Prognosis.Cancer management and research · 2025Article
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6 authors.
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Abstract
Objective: To develop and validate a model for preoperative prediction of positive proximal margins for adenocarcinoma of the esophagogastric junction (AEG) by transabdominal approach, and to analyze the safe margin distances for patients with different risks of positive proximal margins. Materials and methods: A retrospective analysis was performed on 284 AEG patients who underwent surgery via the transabdominal approach at Hengshui People's Hospital between January 2017 and December 2023. Patients were divided into a training set ( Results: The model developed using the SMOTE dataset showed superior AUC for predicting positive proximal margins in the test set compared to the model based on the original training set (0.814 Conclusions: The nomogram may offer a valuable preoperative tool for assessing the risk of positive proximal margins in AEG patients. While it holds the potential to inform surgical decision-making and help determine appropriate margin distances, further validation in larger and more diverse cohorts is needed to confirm its clinical utility.
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