患有病理性T1N0阶段食道状细胞癌,经过食道切除术的患者的预后预测模型

Qing Liu1, Yue Li2, Zhong-Feng Yan2

  • 1Integrated Care Management Center, West China Hospital, Sichuan University, Chengdu, China.

Journal of thoracic disease
|September 13, 2024
PubMed
概括

这项研究开发了一种名图,用于预测早期食道状细胞癌 (ESCC) 患者没有淋巴结转移 (LNM) 的生存率. 该模型确定了手术方法,T1次阶段和CEA水平作为改善患者结果的关键预后因素.

相关概念视频

Barrett Esophagus-I: Introduction01:21

Barrett Esophagus-I: Introduction

Barrett's esophagus is a medical condition where the esophageal mucosa is significantly damaged by stomach acid or other digestive fluids, often due to long-term exposure associated with gastroesophageal reflux disease (GERD). In GERD, a weakened or abnormally relaxed lower esophageal sphincter allows stomach acid to flow persistently into the esophagus.
This constant acid exposure transforms the esophagus's pink mucosal lining (stratified squamous epithelium) into a type of lining more...
75
Barrett Esophagus-II: Clinical Manifestations and Management01:21

Barrett Esophagus-II: Clinical Manifestations and Management

Individuals with Barrett's esophagus are often asymptomatic, but they may experience symptoms commonly associated with GERD, such as heartburn and acid regurgitation. Additional symptoms can include difficulty swallowing, chest pain, unintentional weight loss, blood in the stool (which may appear black, tarry, or bloody), and episodes of vomiting.
To diagnose Barrett's esophagus, healthcare providers often recommend an endoscopy for those showing symptoms of acid reflux. The procedure...
122
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
334