Yi Zhu

P1.064. Limitations of Preoperative Prediction Models for Complications After Esophagectomy: A Multi-Center Analysis

Abstract Topic Esophageal Cancer: Surgical Treatment of Esophageal Cancer Background Preoperative risk stratification for esophagectomy complications relies on clinical prediction models; however, their discriminative performance in multi-institutional settings remains poorly def...

P1.070. Exploring the Association Between Month of Esophagectomy and Long-Term Survival Outcomes : a Large-Scale Survival Study Combined Questionnaire Survey Analysis

Abstract Topic Esophageal Cancer: Surgical Treatment of Esophageal Cancer – long term outcomes Background Esophageal cancer remains a significant global health burden. While surgical and oncologic factors influencing survival after esophagectomy are well studied, the potential im...

P1.067. Multinational Comparison of Surgical Approaches and Postoperative Outcomes in Esophageal Cancer: An International Multicenter Cohort Study

Abstract Topic Esophageal Cancer: Surgical Treatment of Esophageal Cancer Background Esophagectomy for esophageal cancer carries substantial morbidity, yet the extent to which institutional surgical strategy—encompassing operative approach, lymphadenectomy extent, and neoadjuvant...

P1.113. Optimization of Cervical Lymph Node Ultrasound Partitioning in Esophageal Cancer: A Cross-Sectional Survey of Surgeons and Ultrasound Physicians in China

Abstract Topic Esophageal Cancer: New Diagnostic Modalities (Including PET, PET-CT, New Tracers) Background Accurate ultrasound evaluation of cervical lymph nodes (LNs) is essential for staging and treatment planning in esophageal cancer, particularly for decisions regarding thre...

P1.071. Perioperative Patient-Reported Outcomes After Robot-Assisted Versus Conventional Minimally Invasive Esophagectomy for Esophageal Squamous Cell Carcinoma: A Propensity Score-Matched Analysis

Abstract Topic Esophageal Cancer: Surgical Treatment of Esophageal Cancer – technique Background Robot-assisted minimally invasive esophagectomy (RAMIE) is increasingly adopted, yet comparative patient-reported outcome (PRO) data against conventional minimally invasive esophagect...

P1.062. Discovery of Novel Dual-Target Inhibitors for EGFR and PIK3CA From Natural Products via Machine Learning and Molecular Simulation

Abstract Topic Esophageal Cancer: Molecular Biology/Pathology Background With the advancement of personalized medicine, multi-target drug development has garnered significant attention, particularly for complex diseases such as cancer. This study aims to identify potential dual-t...

P1.072. Impact of Neoadjuvant Therapy on Survival After Esophagectomy for Squamous Cell Carcinoma: An International Multicenter Propensity Score Analysis

Abstract Topic Esophageal Cancer: Adjuvant and Neo-Adjuvant Therapies Background The survival benefit of neoadjuvant therapy for esophageal squamous cell carcinoma (ESCC) remains controversial, as landmark trials were conducted predominantly in adenocarcinoma populations. This st...

P1.063. Development of a Machine Learning-Based Programmed Cell Death Genes Prognostic Model for Esophagea Carcinoma

Abstract Topic Esophageal Cancer: Molecular Biology/Pathology Background To use bioinformatics methods to evaluate the prognostic value of Programmed Cell Death Related Genes (PCDRGs) in esophageal carcinoma (EC), and to explore the development and immune regulatory mechanisms of...