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Related Concept Videos

Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
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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

Correlation and Causation

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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.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
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Correlation01:09

Correlation

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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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Correlation and Regression00:53

Correlation and Regression

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In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
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Coefficient of Correlation01:12

Coefficient of Correlation

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The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
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Related Experiment Video

Updated: Feb 4, 2026

Optical Frequency Domain Imaging of Ex vivo Pulmonary Resection Specimens: Obtaining One to One Image to Histopathology Correlation
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Optical Frequency Domain Imaging of Ex vivo Pulmonary Resection Specimens: Obtaining One to One Image to Histopathology Correlation

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Primary cardiac angiosarcoma. Histopathology imaging correlation.

Moustafa Elsheshtawy1,2, Vasudev Virparia1,2, Krishna Anuraag Pulumati1,2

  • 1Maimonides Medical Center, Brooklyn, NY, USA.

Journal of Cardiology Cases
|October 4, 2018
PubMed
Summary
This summary is machine-generated.

This study presents a rare cardiac hemangioma possibly transforming into cardiac angiosarcoma, challenging the de novo genesis theory. Combining imaging modalities is crucial for assessing cardiac tumors comprehensively.

Keywords:
AngiosarcomaCardiac tumorsComputed tomographyEchocardiographyPET scan

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Area of Science:

  • Cardiovascular Pathology
  • Oncology
  • Medical Imaging

Background:

  • Cardiac tumors are rare, with angiosarcomas often presumed to arise de novo.
  • Understanding the pathogenesis of cardiac tumors is essential for diagnosis and treatment.

Observation:

  • A novel case of a cardiac hemangioma potentially transforming into cardiac angiosarcoma was observed.
  • This observation suggests a possible pathway for cardiac angiosarcoma development.

Findings:

  • The study highlights the potential for hemangioma-to-angiosarcoma transformation in the heart.
  • Combined imaging modalities (anatomic and metabolic) are valuable for comprehensive cardiac tumor assessment.

Implications:

  • This finding offers new insights into the pathogenesis of cardiac angiosarcoma.
  • Integrating diverse imaging techniques can improve the diagnostic accuracy and management of cardiac tumors.