在成像生物标志物研究中的时间到事件终点
1The Sidney Kimmel Comprehensive Cancer Center, Division of Quantitative Sciences, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Journal of magnetic resonance imaging : JMRI
|May 13, 2024
概括
本综述解释了成像生物标志物研究的时间到事件终点. 它强调了潜在的陷,并讨论了在临床研究中使用整体生存率或无进展生存率的好处.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 生物统计学 生物统计学
背景情况:
- 时间到事件的终点对于评估临床研究中的患者结果和预后至关重要.
- 图像化生物标志物越来越多地被评估为它们在各种研究环境中的预后和预测价值.
- 了解这些终点对于准确解释成像生物标志物研究至关重要.
研究的目的:
- 为放射科医生提供关于时间到事件终点的教育审查.
- 识别和讨论在将这些终点应用到成像生物标志物研究中的潜在陷.
- 审查作为主要终点的整体存活率和无进展存活率的益处和选择考虑因素.
主要方法:
- 现有文献和概念的教育审查.
- 讨论时间到事件分析的基本原则.
- 综合存活率与无进展存活率的比较分析.
主要成果:
- 澄清了时间到事件终点的关键概念.
- 确定了成像生物标志物研究中的常见挑战和陷.
- 为选择适当的终点 (总体存活率与无进展存活率) 提供了指导.
结论:
- 对时间到事件终点的准确理解对于强大的成像生物标志物研究至关重要.
- 意识到潜在的陷可以改善研究设计和解释.
- 信息化的终点选择提高了成像生物标志物的临床实用性.
相关概念视频
Kaplan-Meier Approach
133
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
133
Introduction To Survival Analysis
221
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
221


