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Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Correlation and Causation01:27

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
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Correlation01:09

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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
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Radiological Investigation I: X-ray and CT01:30

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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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Aging01:26

Aging

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Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
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Protein-Drug Binding: Determination Methods01:22

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Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
Indirect methods involve isolating the bound drug from its free form in biological samples such as blood, serum, or plasma. These techniques aim to measure the percentage of drugs bound to proteins. Equilibrium dialysis is a commonly used method where the free drug concentration at equilibrium is measured by separating the bound...
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Updated: Jan 31, 2026

Automated Analysis of C. elegans Swim Behavior Using CeleST Software
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[Correlation in radiological bone age determination using the Greulich and Pyle method versus automated evaluation

Georgette Pose Lepe1, Fabián Villacrés2, Claudio Silva Fuente-Alba1

  • 1Departamento de Imágenes, Clínica Alemana de Santiago, Chile.

Revista Chilena De Pediatria
|December 21, 2018
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Summary

Automated bone age assessment using BoneXpert software shows high correlation and concordance with the Greulich and Pyle method. This digital approach offers a standardized and accurate alternative for radiological bone age evaluation in pediatric patients.

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Area of Science:

  • Radiology
  • Pediatric imaging
  • Medical technology

Background:

  • Radiological bone age assessment is crucial for evaluating growth and development in children.
  • The Greulich and Pyle (GP) method is a widely used manual technique.
  • Automated software offers potential for improved standardization and efficiency.

Purpose of the Study:

  • To compare the correlation between manual bone age assessment (Greulich and Pyle method) and automated assessment (BoneXpert software).
  • To evaluate the accuracy and variability of the BoneXpert software in bone age determination.

Main Methods:

  • A correlation study involving 1500 carpal X-rays from patients under 16 years old.
  • Manual bone age assessment using the Greulich and Pyle Atlas by pediatric radiologists.
  • Automated bone age assessment using BoneXpert software.
  • Statistical analysis included Pearson's correlation coefficient and Bland-Altman analysis.

Main Results:

  • A high correlation (0.91-0.93) was found between manual (GP) and automated (BoneXpert) bone age assessments.
  • The Bland-Altman analysis showed a small average difference of 0.19 years between the two methods.
  • Re-analysis of 100 cases with BoneXpert demonstrated 100% accuracy.

Conclusions:

  • Automated bone age assessment with BoneXpert software provides a standardized and highly concordant evaluation.
  • BoneXpert software offers a reliable and accurate tool for radiological bone age assessment, reducing variability.