Diffuse Calvarial Hyperostosis and Spontaneous Intracranial Hypotension: A Case-Control Study.


Journal

AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708

Informations de publication

Date de publication:
07 2022
Historique:
received: 25 03 2022
accepted: 06 05 2022
pubmed: 1 7 2022
medline: 12 7 2022
entrez: 30 6 2022
Statut: ppublish

Résumé

Diagnosing spontaneous intracranial hypotension and associated CSF leaks can be challenging, and additional supportive imaging findings would be useful to direct further evaluation. This retrospective study evaluated whether there was a difference in the prevalence of calvarial hyperostosis in a cohort of patients with spontaneous intracranial hypotension compared with an age- and sex-matched control population. Cross-sectional imaging (CT of the head or brain MR imaging examinations) for 166 patients with spontaneous intracranial hypotension and 321 matched controls was assessed by neuroradiologists blinded to the patient's clinical status. The readers qualitatively evaluated the presence of diffuse or layered calvarial hyperostosis and measured calvarial thickness in the axial and coronal planes. A significant difference in the frequency of layered hyperostosis (31.9%, 53/166 subjects versus 5.0%, 16/321 controls, Layered calvarial hyperostosis is more prevalent in spontaneous intracranial hypotension compared with the general population and can be used as an additional noninvasive brain imaging marker of spontaneous intracranial hypotension and an underlying spinal CSF leak.

Sections du résumé

BACKGROUND AND PURPOSE
Diagnosing spontaneous intracranial hypotension and associated CSF leaks can be challenging, and additional supportive imaging findings would be useful to direct further evaluation. This retrospective study evaluated whether there was a difference in the prevalence of calvarial hyperostosis in a cohort of patients with spontaneous intracranial hypotension compared with an age- and sex-matched control population.
MATERIALS AND METHODS
Cross-sectional imaging (CT of the head or brain MR imaging examinations) for 166 patients with spontaneous intracranial hypotension and 321 matched controls was assessed by neuroradiologists blinded to the patient's clinical status. The readers qualitatively evaluated the presence of diffuse or layered calvarial hyperostosis and measured calvarial thickness in the axial and coronal planes.
RESULTS
A significant difference in the frequency of layered hyperostosis (31.9%, 53/166 subjects versus 5.0%, 16/321 controls,
CONCLUSIONS
Layered calvarial hyperostosis is more prevalent in spontaneous intracranial hypotension compared with the general population and can be used as an additional noninvasive brain imaging marker of spontaneous intracranial hypotension and an underlying spinal CSF leak.

Identifiants

pubmed: 35772803
pii: ajnr.A7557
doi: 10.3174/ajnr.A7557
pmc: PMC9262059
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

978-983

Informations de copyright

© 2022 by American Journal of Neuroradiology.

Références

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Auteurs

J C Babcock (JC)

From the Department of Radiology, Mayo Clinic, Rochester, Minnesota Babcock.Jeffrey@mayo.edu.

D R Johnson (DR)

From the Department of Radiology, Mayo Clinic, Rochester, Minnesota.

J C Benson (JC)

From the Department of Radiology, Mayo Clinic, Rochester, Minnesota.

D K Kim (DK)

From the Department of Radiology, Mayo Clinic, Rochester, Minnesota.

P H Luetmer (PH)

From the Department of Radiology, Mayo Clinic, Rochester, Minnesota.

D P Shlapak (DP)

From the Department of Radiology, Mayo Clinic, Rochester, Minnesota.

C P Cross (CP)

From the Department of Radiology, Mayo Clinic, Rochester, Minnesota.

M P Johnson (MP)

From the Department of Radiology, Mayo Clinic, Rochester, Minnesota.

J K Cutsforth-Gregory (JK)

From the Department of Radiology, Mayo Clinic, Rochester, Minnesota.

C M Carr (CM)

From the Department of Radiology, Mayo Clinic, Rochester, Minnesota.

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Classifications MeSH