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Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Automated MRI Volumetric Analysis in Patients with Rasmussen Syndrome.

Z I Wang¹, B Krishnan², D W Shattuck³

¹From the Epilepsy Center (Z.I.W., B.K., A.N.V.M., E.W., R.C.B., A.V.A., J.C.M.) wangi2@ccf.org.

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|September 10, 2016

Summary

This summary is machine-generated.

Quantitative MRI analysis accurately distinguishes Rasmussen encephalitis from controls. This method aids diagnosis and monitors disease progression, showing frontal lobe and insula atrophy correlates with epilepsy duration.

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Area of Science:

Neurology
Radiology
Medical Imaging

Background:

Rasmussen encephalitis is characterized by progressive unilateral brain hemisphere volume loss.
Accurate diagnosis and monitoring of disease progression are crucial for patient management.

Purpose of the Study:

To apply automated quantitative volumetric MR imaging to patients with Rasmussen encephalitis.
To determine the predictive value of lobar volumetric measures for diagnosis.
To assess regional atrophy and monitor disease progression.

Main Methods:

Nineteen patients with Rasmussen encephalitis and two control groups (healthy and epileptic) were analyzed.
Automated volumetric analysis of T1-weighted MRI scans using BrainSuite.
Logistic regression classifier trained on hemispheric volume ratios to differentiate patients.

Main Results:

Interhemispheric and frontal lobe volume ratios showed the highest accuracy in distinguishing Rasmussen encephalitis.
The insula exhibited the most significant atrophy compared to other cortical regions.
Progressive volume loss was observed in affected hemispheres; frontal lobe and insula atrophy correlated with epilepsy duration.

Conclusions:

Automated quantitative volumetric MRI analysis effectively aids in diagnosing Rasmussen encephalitis.
This technique can be utilized for monitoring disease progression in patients.
Findings highlight the utility of volumetric MRI in understanding Rasmussen encephalitis.