相关实验视频

Updated: Sep 16, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

201

在子宫清细胞腺癌的长期预后的预测工具的开发:一个基于大量人口的真实世界研究

Yanhong Wang1,2,3, Yi Ouyang4, Yiping Chen1

  • 1Department of Radiation Oncology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.

Frontiers in medicine
|July 7, 2025
PubMed
概括

这项研究开发了一种名图,用于预测宫清细胞腺癌 (CCAC) 患者的整体存活率. 新工具的性能明显优于目前的FIGO分期,为CCAC提供了更好的预测准确性.

关键词:
在FIGO阶段.这就是OS OS OS OS.子宫的透明细胞腺癌.这个名字是名ogramogram.风险分层的分层是风险分层.

更多相关视频

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

380
Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors03:05

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors

Published on: February 16, 2024

1.2K

相关概念视频

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...
457