Case Reports
Journal Article
Add like
Add dislike
Add to saved papers

Acute Marchiafava-Bignami disease: clinical and serial MRI correlation.

BMJ Case Reports 2014 May 22
Marchiafava-Bignami disease (MBD) is a form of toxic demyelinating disease more often seen in chronic alcoholics. The disease process typically involves the corpus callosum and clinically often presents with altered sensorium, neurocognitive defects or seizures with acute cases often deteriorating to comatose state. The death rate is high. We report a rare case of MBD with complete clinical recovery. A 50-year-old male patient presented in an unconscious state and underwent MRI of the brain which showed significant lesions involving the corpus callosum. Following treatment with thiamine and supportive therapy, he improved clinically and a follow-up MRI revealed significant resolution of the earlier lesions. Diffusion-weighted MRI showed the changes more conspicuously as compared with conventional imaging. The clinical resolution corresponded well with the MRI pattern. The case highlights that diffusion-weighted MRI is an extremely useful tool in evaluation and prognostication of MBD.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app