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An anatomy-based lumped parameter model of cerebrospinal venous circulation: can an extracranial anatomical change impact intracranial hemodynamics?

BACKGROUND: The relationship between extracranial venous system abnormalities and central nervous system disorders has been recently theorized. In this paper we delve into this hypothesis by modeling the venous drainage in brain and spinal column areas and simulating the intracranial flow changes du...

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Autores principales: Marcotti, Stefania, Marchetti, Lara, Cecconi, Pietro, Votta, Emiliano, Fiore, Gianfranco Beniamino, Barberio, Antonello, Viotti, Stefano, Redaelli, Alberto, Laganà, Maria Marcella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476203/
https://www.ncbi.nlm.nih.gov/pubmed/26099795
http://dx.doi.org/10.1186/s12883-015-0352-y
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author Marcotti, Stefania
Marchetti, Lara
Cecconi, Pietro
Votta, Emiliano
Fiore, Gianfranco Beniamino
Barberio, Antonello
Viotti, Stefano
Redaelli, Alberto
Laganà, Maria Marcella
author_facet Marcotti, Stefania
Marchetti, Lara
Cecconi, Pietro
Votta, Emiliano
Fiore, Gianfranco Beniamino
Barberio, Antonello
Viotti, Stefano
Redaelli, Alberto
Laganà, Maria Marcella
author_sort Marcotti, Stefania
collection PubMed
description BACKGROUND: The relationship between extracranial venous system abnormalities and central nervous system disorders has been recently theorized. In this paper we delve into this hypothesis by modeling the venous drainage in brain and spinal column areas and simulating the intracranial flow changes due to extracranial morphological stenoses. METHODS: A lumped parameter model of the cerebro-spinal venous drainage was created based on anatomical knowledge and vessels diameters and lengths taken from literature. Each vein was modeled as a hydraulic resistance, calculated through Poiseuille’s law. The inputs of the model were arterial flow rates of the intracranial, vertebral and lumbar districts. The effects of the obstruction of the main venous outflows were simulated. A database comprising 112 Multiple Sclerosis patients (Male/Female = 42/70; median age ± standard deviation = 43.7 ± 10.5 years) was retrospectively analyzed. RESULTS: The flow rate of the main veins estimated with the model was similar to the measures of 21 healthy controls (Male/Female = 10/11; mean age ± standard deviation = 31 ± 11 years), obtained with a 1.5 T Magnetic Resonance scanner. The intracranial reflux topography predicted with the model in cases of internal jugular vein diameter reduction was similar to those observed in the patients with internal jugular vein obstacles. CONCLUSIONS: The proposed model can predict physiological and pathological behaviors with good fidelity. Despite the simplifications introduced in cerebrospinal venous circulation modeling, the key anatomical feature of the lumped parameter model allowed for a detailed analysis of the consequences of extracranial venous impairments on intracranial pressure and hemodynamics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12883-015-0352-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-44762032015-06-23 An anatomy-based lumped parameter model of cerebrospinal venous circulation: can an extracranial anatomical change impact intracranial hemodynamics? Marcotti, Stefania Marchetti, Lara Cecconi, Pietro Votta, Emiliano Fiore, Gianfranco Beniamino Barberio, Antonello Viotti, Stefano Redaelli, Alberto Laganà, Maria Marcella BMC Neurol Research Article BACKGROUND: The relationship between extracranial venous system abnormalities and central nervous system disorders has been recently theorized. In this paper we delve into this hypothesis by modeling the venous drainage in brain and spinal column areas and simulating the intracranial flow changes due to extracranial morphological stenoses. METHODS: A lumped parameter model of the cerebro-spinal venous drainage was created based on anatomical knowledge and vessels diameters and lengths taken from literature. Each vein was modeled as a hydraulic resistance, calculated through Poiseuille’s law. The inputs of the model were arterial flow rates of the intracranial, vertebral and lumbar districts. The effects of the obstruction of the main venous outflows were simulated. A database comprising 112 Multiple Sclerosis patients (Male/Female = 42/70; median age ± standard deviation = 43.7 ± 10.5 years) was retrospectively analyzed. RESULTS: The flow rate of the main veins estimated with the model was similar to the measures of 21 healthy controls (Male/Female = 10/11; mean age ± standard deviation = 31 ± 11 years), obtained with a 1.5 T Magnetic Resonance scanner. The intracranial reflux topography predicted with the model in cases of internal jugular vein diameter reduction was similar to those observed in the patients with internal jugular vein obstacles. CONCLUSIONS: The proposed model can predict physiological and pathological behaviors with good fidelity. Despite the simplifications introduced in cerebrospinal venous circulation modeling, the key anatomical feature of the lumped parameter model allowed for a detailed analysis of the consequences of extracranial venous impairments on intracranial pressure and hemodynamics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12883-015-0352-y) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-23 /pmc/articles/PMC4476203/ /pubmed/26099795 http://dx.doi.org/10.1186/s12883-015-0352-y Text en © Marcotti et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Marcotti, Stefania
Marchetti, Lara
Cecconi, Pietro
Votta, Emiliano
Fiore, Gianfranco Beniamino
Barberio, Antonello
Viotti, Stefano
Redaelli, Alberto
Laganà, Maria Marcella
An anatomy-based lumped parameter model of cerebrospinal venous circulation: can an extracranial anatomical change impact intracranial hemodynamics?
title An anatomy-based lumped parameter model of cerebrospinal venous circulation: can an extracranial anatomical change impact intracranial hemodynamics?
title_full An anatomy-based lumped parameter model of cerebrospinal venous circulation: can an extracranial anatomical change impact intracranial hemodynamics?
title_fullStr An anatomy-based lumped parameter model of cerebrospinal venous circulation: can an extracranial anatomical change impact intracranial hemodynamics?
title_full_unstemmed An anatomy-based lumped parameter model of cerebrospinal venous circulation: can an extracranial anatomical change impact intracranial hemodynamics?
title_short An anatomy-based lumped parameter model of cerebrospinal venous circulation: can an extracranial anatomical change impact intracranial hemodynamics?
title_sort anatomy-based lumped parameter model of cerebrospinal venous circulation: can an extracranial anatomical change impact intracranial hemodynamics?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476203/
https://www.ncbi.nlm.nih.gov/pubmed/26099795
http://dx.doi.org/10.1186/s12883-015-0352-y
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