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相关概念视频

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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.
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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A z score (or standardized value) is measured in units of the standard deviation. It 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 zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
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A z score (or standardized value) is measured in units of the standard deviation. It indicates 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 zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
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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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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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在PSMA PET上进行临床显著前列腺癌检测的PRIMARY评分系统:系统性审查和元分析.

Felipe A Mourato1, Luiza G Schmitt2, Miriana Mariussi3

  • 1Unidade de Diagnóstico por Imagem, Empresa Brasileira de Serviços Hospitalares (EBSERH), Hospital das Clínicas da Universidade Federal de Pernambuco (UFPE), Recife, PE, Brazil.

Clinical nuclear medicine
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概括

通过PSMA PET扫描,PRIMARY得分显示了用于检测临床显著前列腺癌 (csPCa) 的高准确性. 它的性能与PI-RADS相当,特别是在以前没有做过活检的男性中.

关键词:
主要的原因是主要的原因.在PSMA上,PSMA可以在PSMA上进行交易.临床上显著的前列腺癌.前列腺癌是前列腺癌.

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科学领域:

  • 放射学和核医学 放射学和核医学
  • 在瘤学瘤学.
  • 泌尿器科 泌尿器科 泌尿器科 泌尿器科

背景情况:

  • 前列腺特异性膜抗原 (PSMA) PET成像对于评估前列腺癌至关重要.
  • 需要对PSMA PET用于前列腺内病变的标准化解释.
  • 基本分数为PSMA PET解释提供了一种标准化的方法.

研究的目的:

  • 系统地评估临床显著前列腺癌 (csPCa) 的PRIMARY评分的诊断准确性.
  • 将PRIMARY分数与PI-RADS分类的表现进行比较.
  • 为了评估PRIMARY评分在以前没有做过活检的患者中的有用性.

主要方法:

  • 一个系统的审查和元分析,遵循PRISMA-DTA指南.
  • 包括13项研究 (n=1974),评估PSMA PET/CT或PET/MRI的PRIMARY评分.
  • 两变随机效应建模以估计聚合的灵敏度和特异性.

主要成果:

  • 在以前没有做过活检的患者中,PRIMARY ≥3获得了90%的灵敏度和63%的特异性.
  • 在所有包括的研究中,PRIMARY显示了87%的灵敏度和56%的特异性.
  • 头对头的比较表明,PRIMARY分数和PI-RADS之间的准确性相似.

结论:

  • PRIMARY评分表明csPCa检测的高灵敏度和中等特异性.
  • 它的性能与PI-RADS相当,特别是在以前没有做过活检的个体中.
  • PRIMARY评分是预剖析风险分层和综合诊断工作流程的一个有价值的工具.