| A modeling study of idiopathic intracranial hypertension: etiology and diagnosis. | |
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MedLine Citation:
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PMID: 17553215 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: To investigate the relationship between idiopathic intracranial hypertension (IIH) and transverse sinus stenosis through experiments performed on a validated mathematical model. METHODS: A mathematical model of intracranial pressure (ICP) dynamics has been extended to accommodate venous sinus compression through the introduction of a Starling-like resistor between the sagittal and transverse sinuses. RESULTS: In the absence of this type of resistor, the sinuses are rigid, and the model has only a unique, stable steady state with normal pressures. With resistance a function of the external pressure on the sinus, a second stable steady state may exist. This state is characterized by elevated ICP concurrent with a compressed transverse sinus. Simulations predict that a temporary perturbation that causes a transient elevation of ICP can induce a permanent transition from the normal to the higher steady state. Comparisons to clinical data from IIH patients provide supporting evidence for the validity of the model's predictions. Simulations suggest a possible clinical diagnostic technique to determine if an individual has a compressible transverse sinus and is at risk for developing IIH. CONCLUSIONS: Results of the model experiments suggest that the primary cause of IIH may be a compressible, as opposed to rigid, transverse sinus, and that the observed stenosis is a necessary characteristic of the elevated pressure state. |
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Authors:
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Scott A Stevens; Nimish J Thakore; William D Lakin; Paul L Penar; Bruce I Tranmer |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
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Title: Neurological research Volume: 29 ISSN: 0161-6412 ISO Abbreviation: Neurol. Res. Publication Date: 2007 Dec |
Date Detail:
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Created Date: 2007-12-14 Completed Date: 2008-03-14 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7905298 Medline TA: Neurol Res Country: England |
Other Details:
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Languages: eng Pagination: 777-86 Citation Subset: IM |
Affiliation:
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Division of Information Technology and Sciences, Champlain College, Burlington, VT 05402-0670, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Humans Mathematics* Models, Biological* Pseudotumor Cerebri / cerebrospinal fluid, diagnosis*, etiology* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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