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Related Concept Videos

Correlations02:20

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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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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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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.
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Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

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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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Updated: Jan 20, 2026

A Protocol for Rapid Post-mortem Cell Culture of Diffuse Intrinsic Pontine Glioma DIPG
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Perinatal post-mortem ultrasound (PMUS): radiological-pathological correlation.

Susan C Shelmerdine1,2, Neil J Sebire3,4, Owen J Arthurs3,4

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|August 22, 2019
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Post-mortem ultrasound (PMUS) offers an accessible, affordable alternative to traditional autopsy for perinatal cases. This study details common pathologies visualized with PMUS, comparing findings to autopsy and other imaging methods.

Keywords:
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Area of Science:

  • Medical Imaging
  • Forensic Pathology
  • Perinatal Medicine

Background:

  • Increasing demand for non-invasive post-mortem imaging techniques.
  • Post-mortem ultrasound (PMUS) is accessible and affordable for perinatal cases.
  • PMUS visualizes normal perinatal anatomy, with unique advantages due to un-aerated fetal lungs.

Purpose of the Study:

  • To focus on commonly encountered pathologies on PMUS in perinatal deaths.
  • To compare PMUS findings with conventional autopsy and other post-mortem imaging modalities.
  • To build upon previous practical guidance for PMUS examinations.

Main Methods:

  • Utilizing post-mortem ultrasound (PMUS) for perinatal case examinations.
  • Comparing PMUS findings with results from conventional autopsy.
  • Comparing PMUS findings with other post-mortem imaging modalities.

Main Results:

  • Detailed visualization of normal anatomical structures in perinatal cases using PMUS.
  • Identification of specific pathologies unique to perinatal deaths via PMUS.
  • Comparative analysis of PMUS efficacy against autopsy and other imaging techniques.

Conclusions:

  • PMUS is a valuable tool for assessing perinatal deaths, complementing or replacing invasive autopsy.
  • PMUS effectively identifies common pathologies in perinatal cases.
  • Further comparison with autopsy and other modalities refines PMUS application in perinatal forensics.