Search

Search

这页已由机器翻译。其他页面可能仍然显示为英文。 View in English

首页
...
研究领域生物医学和临床科学瘤学和致癌症预测和预后标志物
宫淋巴结的转移概率是口腔状细胞癌生存的重要预测因素 - 全国研究

宫淋巴结的转移概率是口腔状细胞癌生存的重要预测因素 - 全国研究

Li-Jen Liao ^1,2, Cheng-Lin Lu ¹, Yu-Ping Cheng ³, Ping-Chia Cheng ¹, Yong-Chen Chen ^3,4, Chun-Ju Chiang ⁵, Wen-Chung Lee ⁵, San-Lin You ^6,7, Wan-Lun Hsu ^3,8

Li-Jen Liao ^1,2, Cheng-Lin Lu ¹, Yu-Ping Cheng ³

¹Department of Otolaryngology, Far Eastern Memorial Hospital, New Taipei City 220216, Taiwan.
²Department of Electrical Engineering, Yuan Ze University, Taoyuan 320315, Taiwan.
³Master Program of Big Data in Medical Health Care Industry, College of Medicine, Fu Jen Catholic University, New Taipei City 242062, Taiwan.
⁴Post-Baccalaureate Program in Nursing, Fu Jen Catholic University, New Taipei City 242062, Taiwan.
⁵Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 10055, Taiwan.
⁶Genomics Research Center, Academia Sinica, Taipei 115201, Taiwan.
⁷Department of Public Health, College of Medicine, Fu Jen Catholic University, New Taipei City 242062, Taiwan.
⁸Data Science Center, College of Medicine, Fu Jen Catholic University, New Taipei City 242062, Taiwan.

⁰Department of Otolaryngology, Far Eastern Memorial Hospital, New Taipei City 220216, Taiwan.

Cancers +

|

2025年八月28日

相关实验视频

These videos have been matched automatically. Contact us if they are not relevant.

A Model for Perineural Invasion in Head and Neck Squamous Cell Carcinoma

A Model for Perineural Invasion in Head and Neck Squamous Cell Carcinoma

Published on: January 5, 2017

Intramucosal Inoculation of Squamous Cell Carcinoma Cells in Mice for Tumor Immune Profiling and Treatment Response Assessment

Intramucosal Inoculation of Squamous Cell Carcinoma Cells in Mice for Tumor Immune Profiling and Treatment Response Assessment

Published on: April 22, 2019

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

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

See all related videos

在PubMed上查看摘要

概括

此摘要是机器生成的。

淋巴结密度 (LND) 和阳性淋巴结的日志概率 (LODDS) 是口腔状细胞癌 (OSCC) 存活的重要预后因素. 这些指标可以改善接受手术的OSCC患者的风险分层.

科学领域

癌症学
外科病理学
生物统计学

背景情况

口腔状细胞癌 (OSCC) 是一种常见的恶性瘤.
准确的预后指标对于有效的患者管理至关重要.
淋巴结状况是OSCC预后的一个关键因素.

研究的目的

评估淋巴结密度 (LND) 和阳性淋巴结概率 (LODDS) 的预后意义.
评估LND和LODDS在口腔状细胞癌 (OSCC) 患者中的有用性.
使用全国数据库进行稳健的统计分析.

主要方法

使用台湾癌症登记的回顾性队列研究.
包括接受初级瘤手术和部剖析的OSCC患者.
通过Cox比例危险模型分析临床病理变量和生存结果.

主要成果

在OSCC中,LND和LODDS被确定为整体生存的独立预后因素.
较高的LND和LODDS值与死亡率的增加显著相关.
这项研究包括1643名女性和15475名男性患者,平均年龄为57. 4岁.

结论

淋巴结密度 (LND) 和阳性淋巴结的日志概率 (LODDS) 是OSCC的重要预后指标.
将LND和LODDS纳入预后模型可以提高风险分层.
这些指标可以为OSCC患者的临床决策提供信息.

关键词:

组织病理特征阳性淋巴结的概率淋巴结的密度国家癌症登记处在口腔癌症生存时间

相关实验视频

这些视频已自动匹配 Contact us 如果它们不相关

A Model for Perineural Invasion in Head and Neck Squamous Cell Carcinoma

A Model for Perineural Invasion in Head and Neck Squamous Cell Carcinoma

Published on: January 5, 2017

Intramucosal Inoculation of Squamous Cell Carcinoma Cells in Mice for Tumor Immune Profiling and Treatment Response Assessment

Intramucosal Inoculation of Squamous Cell Carcinoma Cells in Mice for Tumor Immune Profiling and Treatment Response Assessment

Published on: April 22, 2019

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

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

See all related videos

相关概念视频

Cancer Survival Analysis

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...

Share

X
Facebook
LinkedIn
YouTube

ABOUT JoVE

Overview
Leadership
Blog
JoVE Help Center

AUTHORS

Publishing Process
Editorial Board
Scope & Policies
Peer Review
FAQ
Submit

LIBRARIANS

Testimonials
Subscriptions
Access
Resources
Library Advisory Board
FAQ

RESEARCH

JoVE Journal
Methods Collections
JoVE Encyclopedia of Experiments
Archive

EDUCATION

JoVE Core
JoVE Business
JoVE Science Education
JoVE Lab Manual
Faculty Resource Center
Faculty Site

Terms & Conditions of Use
Privacy Policy
Policies