相关实验视频

Updated: Jan 18, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

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

Published on: September 27, 2024

648

多中心开发临床分子诺米图,用于预测肺癌脑转移患者的存活率

Xiansheng Qiu1,2, Zhenwei Lu1,2, Chongfei Li1,2

  • 1The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, People's Republic of China.

Cancer management and research
|September 10, 2025
PubMed
概括

一种新型的诺米图准确预测肺癌脑转移 (LCBM) 患者的存活率,结合瘤大小,EGFR突变和转移模式. 这种工具有助于个性化治疗决策,以改善神经瘤学的结果.

关键词:
头骨转移是发生了什么?肺癌发生在大脑转移.这个名字是名ogramogram.总体存活率 总体存活率手术 手术 手术 手术 手术 手术 手术

更多相关视频

Establishing a Competing Risk Regression Nomogram Model for Survival Data04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.8K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model07:13

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

495

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...
650