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相关概念视频

Introduction to z Scores01:06

Introduction to z Scores

11.0K
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.
z scores...
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Introduction to z Scores01:05

Introduction to z Scores

1.3K
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.
z scores...
1.3K
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

18.4K
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...
18.4K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.2K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.2K
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

7.5K
Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
7.5K
z Scores and Unusual Values01:07

z Scores and Unusual Values

11.0K
The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
 This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
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相关实验视频

Updated: Jan 27, 2026

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
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Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

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易于使用的背景分数用于常规的前列腺MRI.

Carolin Reischauer1,2, Fabio Porões3,4, Julian Vidal3,4

  • 1Department of Medicine, University of Fribourg, Fribourg, Switzerland. carolin.reischauer@unifr.ch.

Insights into imaging
|January 26, 2026
PubMed
概括

一个新的前列腺MRI背景信号强度的二进制评分系统简化了解释,有助于癌症检测. 这种工具有助于识别诊断的不确定性,特别是对于经验较少的读者.

关键词:
背景信号强度的变化改变了背景信号的强度.诊断 诊断 诊断 诊断 诊断多参数磁共振成像技术前列腺新生体前列腺瘤.评分系统 评分系统

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相关实验视频

Last Updated: Jan 27, 2026

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A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
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Surgical Treatment for Benign Prostatic Hyperplasia: Holmium Laser Enucleation of the Prostate HoLEP.
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科学领域:

  • 放射学 放射学是一门学科.
  • 在瘤学瘤学.
  • 医疗成像医学成像

背景情况:

  • 由于背景信号强度的变化,前列腺MRI解释可能具有挑战性.
  • 需要标准化的方法来评估这些变化及其对诊断的影响.

研究的目的:

  • 为前列腺MRI背景信号强度引入一个简单的二进制评分系统.
  • 评估该系统在癌症检测方面的有效性及其对诊断协议的影响.

主要方法:

  • 这是一项对200名患者的回顾性研究,使用了一种新的二进制背景评分系统 (A或B).
  • 四名读者独立得分背景强度和评估癌症的存在.
  • 读者之间的协议和诊断性能 (灵敏度,特异性) 与组织学相比被分析.

主要成果:

  • 在背景评分 (kappa=0.62) 方面,获得了大量的读者间共识.
  • 关于癌症存在的共识在A比B的得分上更高.
  • 在各分数中观察到癌症检测的高灵敏度,但在经验较少的读者中,特异性下降.

结论:

  • 拟议的二元背景评分为评估前列腺MRI中外围区域信号变化的实用工具.
  • 它可以帮助沟通诊断的不确定性,特别有利于缺乏经验的读者.
  • 建议进一步验证以进行常规临床实施.