#escc — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #escc, aggregated by home.social.
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A new SVM-based machine-learning model accurately predicts postoperative recurrence in ESCC.
Using factors like age, ECOG, NLR, CPR, CY211, TNM stage & complications, the SVM6+8 model reached 94% sensitivity.
A nomogram predicts 1-, 3-, 5-yr DFS, helping identify high- vs low-risk patients.
Enables personalized follow-up & adjuvant therapy.
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⚠️ Anastomotic Leak After ESCC Esophagectomy
• Incidence: 21.5%
• High-risk factors: older age, cervical anastomosis, low RBC count, high NLR >14.6, poor nutrition
• Nomogram predictive model: AUC 0.870
• Early CT/POD7 imaging + marker monitoring essential
• Close monitoring & nutritional optimization improve outcomes