Midline Shift Estimation
Midline Shift Estimation - Related Videos
14:08
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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Cited by 31 •
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An automated midline shift estimation and intracranial pressure (ICP) pre-screening system based on computed tomography (CT) images for patients with traumatic brain injury (TBI) is proposed using image processing and machine learning techniques.
09:12
Sound Waves and Doppler Shift
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2023
Source: Arianna Brown, Asantha Cooray, PhD, Department of Physics & Astronomy, School of Physical Sciences, University of California, Irvine, CA Waves are disturbances that propagate through a material medium or empty space. Light waves can travel through a vacuum and some forms of matter, and are transverse in nature, which means that the oscillations are perpendicular to the direction of propagation. However, sound waves are pressure waves that travel through an elastic medium like air,...
06:57
Electrophoretic Mobility Shift Assay (EMSA)
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2023
The electrophoretic mobility shift assay (EMSA) is a biochemical procedure used to elucidate binding between proteins and nucleic acids. In this assay a radiolabeled nucleic acid and test protein are mixed. Binding is determined via gel electrophoresis which separates components based on mass, charge, and conformation. This video shows the concepts of EMSA and a general procedure, including gel and protein preparation, binding, electrophoresis, and detection. Applications covered in this video...
09:45
New Variations for Strategy Set-shifting in the Rat
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Cited by 3 •
2017
Set-shifting, a form of behavioral flexibility, requires an attentional shift from one stimulus dimension to another. We extended an established rodent set-shifting task1 by requiring attention to different stimuli according to context. The task was combined with specific lesions to identify neuron subtypes underlying a successful shift.
01:06
What are Estimates?
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2023
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such as the mean,...
FAQs
Estimation begins by establishing the brain’s anatomical midline on a head CT or MRI, then comparing that reference with a central structure such as the septum pellucidum or third ventricle. The resulting separation is expressed in millimeters. This provides a standardized way to describe asymmetric displacement caused by intracranial mass effect.
Displacement matters because it reflects the effect of an abnormal space-occupying process on central brain structures. Increasing or substantial deviation can therefore serve as an imaging indicator of mass effect and possible neurological deterioration. The measurement should not stand alone: clinicians interpret it with the clinical examination and other imaging findings.
Consistent estimation improves comparison between examinations and helps clinicians characterize whether the imaging appearance is stable or changing over time. Using the same general reference concept and reporting displacement in millimeters makes the finding easier to communicate. Its value is greatest when combined with the patient’s neurological status and the broader imaging assessment.
A practical workflow is to review the head CT or MRI, establish the anatomical midline, identify a suitable central landmark, and quantify its deviation from that reference in millimeters. The septum pellucidum or third ventricle may serve as the landmark. Recording the result supports severity assessment and later comparison.
It is relevant when traumatic brain injury, intracranial hemorrhage, tumors, edema, or another space-occupying condition may alter intracranial anatomy. In these settings, the measured deviation adds an objective imaging description to the clinical picture. That information can support evaluation of disease severity and help inform urgent management decisions.
Serial measurements can help monitor changes over time, particularly when clinicians are assessing whether mass effect is evolving. A change in the measured deviation may add context to neurological findings and repeat imaging. However, the value of a trend depends on consistent estimation and interpretation alongside the examination and other imaging results, rather than in isolation.