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.

#ESCC #AI #Oncology #GastroAGI

⚠️ 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

#GastroAGI #ESCC #Surgery