Auto-immune Encephalitis
Conditions
Keywords
MRI
Brief summary
The aim of this non randomised retrospective study is to investigate the imaging (MRI) of auto-immune encephalitis at presentation, especially in diffusion-weighted sequences. Indeed, few series describe the MRI aspect of auto-immune at their beginning. Recognize early MRI abnormalities seen in auto-immune encephalitis could help reduce the time to positive diagnosis and improve the therapeutic management.
Interventions
The radiologist will analyze the MRI of patients with proved auto-immune encephalitis realized at presentation of the symptoms. If available, the following-up MRIs will also be analyzed. At each assessment, four MRI sequences will be studied : diffusion, T2-weighted, susceptibility sensitive sequences, and T1 weighted after contrast enhanced with gadolinium. The radiologist will analyse the signal abnormalities, their localisation and the trophicity of the brain. We will then correlate the following clinical data collected for patients : age, sex, clinical presentation, clinical evolution, and tumor associated or not.
Sponsors
Study design
Eligibility
Inclusion criteria
* Auto-immune encephalitis proved by biological results (blood and/or CSF sample)
Exclusion criteria
* No MRI available
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| MRI characterization, especially in Diffusion-weighted magnetic resonance imaging (DWI-MRI), of auto-immune encephalitis at presentation. | at following-up until 24 months | The radiologist will analyze the MRI of patients with proved auto-immune encephalitis realized at presentation of the symptoms. If available, the following-up MRIs will also be analyzed. At each assessment, four MRI sequences will be studied : diffusion, T2-weighted, susceptibility sensitive sequences, and T1 weighted after contrast enhanced with gadolinium. The radiologist will analyse the signal abnormalities, their localisation and the trophicity of the brain. We will then correlate the following clinical data collected for patients : age, sex, clinical presentation, clinical evolution, and tumor associated or not. |
Countries
France