| Home | E-Submission | Sitemap | Editorial Office |  
top_img
Journal of Korean Neurosurgical Society > Volume 45(1); 2009 > Article
Journal of Korean Neurosurgical Society 2009;45(1): 1-4.
doi: https://doi.org/10.3340/jkns.2009.45.1.1
Spontaneous Intracranial Hypotension: Clinical Presentation, Imaging Features and Treatment.
Eun Soo Park, Ealmaan Kim
Department of Neurosurgery, Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea. bach1158@dsmc.or.kr
ABSTRACT
OBJECTIVE:
In the present study, the authors investigated the clinical and imaging features as well as the therapeutic outcomes of SIH (spontaneous intracranial hypotension) patients.
METHODS:
A retrospective review of 12 SIH patients was carried out. The diagnostic work-up included lumbar tapping and measurement of CSF opening pressure, radioisotope cisternography, brain and spinal magnetic resonance imaging (MRI), and computed tomography (CT) myelography. Autologous epidural blood patching was performed in patients who did not respond to conservative therapies, including analgesics, steroids, hydration and rest.
RESULTS:
Typical postural headache was found in 11 (91%) patients. Nine (75%) patients showed pachymeningeal enhancement on their initial T1-weighted MR images. The CSF opening pressure was less than 60 mmH2O in 9 of 11 patients. Autologous epidural blood patching was performed in 7 patients, and all of them showed good responses.
CONCLUSION:
SIH can present with various clinical presentations and neuroimaging findings. Autologous epidural blood patching is thought to be the treatment of choice for patients with SIH.
Key Words: Headache; Cerebrospinal fluid leak; Dural enhancement; Magnetic resonance imaging; Blood patch; Intracranial hypotension
Editorial Office
#402, 27 Chilparo, Jung-gu, Seoul 04511, Korea
TEL: +82-2-525-7552   FAX: +82-2-525-7554   E-mail: kns61@neurosurgery.or.kr
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © Korean Neurosurgical Society. All rights reserved.                 Developed in M2PI
Close layer
prev next