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Updated: Jul 15, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Diffusion-weighted magnetic resonance imaging in rhombencephalitis due to Listeria monocytogenes
H G Hatipoglu1, M Onbasioglu Gurbuz, B Sakman
1Department of Radiology, Ankara Numune Education and Research Hospital, Ankara, Turkey. gulhatip@yahoo.com
Abstract:
We present diffusion-weighted imaging findings of a case of rhombencephalitis due to Listeria monocytogenes. It is a rare, life-threatening disorder. The diagnosis is difficult by clinical findings only. In this report, we aim to draw attention to the role of conventional and diffusion-weighted magnetic resonance imaging findings. To our knowledge, this is the first case report in the literature with apparent diffusion coefficient values of diseased brain parenchyma.
Insights
Diffusion-weighted imaging aids in diagnosing rare rhombencephalitis caused by Listeria monocytogenes. This study highlights MRI
Area of Science:
- Neurology
- Infectious Diseases
- Radiology
Background:
- Rhombencephalitis is a rare, life-threatening brainstem inflammation.
- Listeria monocytogenes is a bacterial cause of rhombencephalitis.
- Clinical diagnosis of rhombencephalitis can be challenging.
Observation:
- A case of rhombencephalitis caused by Listeria monocytogenes was studied.
- Conventional and diffusion-weighted magnetic resonance imaging (dMRI) were utilized.
- This is the first reported case including apparent diffusion coefficient (ADC) values.
Findings:
- Diffusion-weighted imaging revealed characteristic findings of rhombencephalitis.
- Apparent diffusion coefficient values provided quantitative information about the diseased brain parenchyma.
- MRI findings were crucial for diagnosis when clinical presentation was ambiguous.
Implications:
- Diffusion-weighted imaging is a valuable tool for diagnosing rhombencephalitis.
- ADC values may help characterize the extent and nature of brain parenchyma involvement.
- Early and accurate diagnosis through advanced imaging can improve patient outcomes.
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