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相关概念视频

Percentile01:18

Percentile

9.4K
A percentile indicates the relative standing of a data value when data are sorted into numerical order from smallest to largest. It represents the percentages of data values that are less than or equal to the pth percentile. For example, 15% of data values are less than or equal to the 15th percentile.
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Review and Preview01:10

Review and Preview

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
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z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

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z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
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Detection of Gross Error: The Q Test01:00

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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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相关实验视频

Updated: Feb 26, 2026

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
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定义适应性重新规划的定量值,使用百分位数为基础的评分系统.

Alexandra O Leone1,2, Christine B Peterson3, Anna Lee4

  • 1Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

International journal of particle therapy
|February 25, 2026
PubMed
概括
此摘要是机器生成的。

适应性头质子疗法规划的定量指标现在已经可用了. 一个经过验证的 Daisy 评分系统有助于确定何时需要调整计划,从而提高了口腔癌的治疗质量.

关键词:
适应性质子疗法适应性质子疗法离线自适应性放射治疗计划 计划 质量评估 质量评估

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科学领域:

  • 辐射瘤学 辐射瘤学
  • 医学物理 医学物理
  • 癌症治疗方法 癌症治疗方法

背景情况:

  • 适应性规划对于头子质子疗法至关重要,但缺乏定量决策指标.
  • 目前的方法不能客观地指导何时调整治疗计划.

研究的目的:

  • 建立计划质量变化的定量值,表明需要适应性规划.
  • 为了将计划质量差异与头质子疗法的医生决定相关联.

主要方法:

  • 分析了167名患者对口腔癌的强度调节质子疗法计划.
  • 利用基于百分位数的戴西分数系统来评估计划质量差异.
  • 采用了通用线性混合模型和医生审查来评估适应的必要性.

主要成果:

  • 在计划得分差异和调整需要之间发现了显著的关系 (P=0.034).
  • 需要调整的计划平均得分下降了37.7%,而可接受的计划则下降了19.3%.
  • 临床瘤体积和热点剂量是适应决策的关键指标.

结论:

  • 基于百分位数的Daisy评分系统为适应性规划决策提供了可靠的门.
  • 这个系统可以客观地识别出计划质量的变化需要适应性质子治疗时.