Cerebrospinal Fluid Dynamics and Relation with Blood Flow

Balédent, Olivier; Henry-Feugeas, MC; Idy-Peretti, I.

doi:10.1097/00004424-200107000-00003

Cited by 207 publications

(97 citation statements)

References 34 publications

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“…SSS CSF flow has been characterized to have a peak Reynolds number, based on internal flow in a tube, ranging from 300 to 400 18 and Womersley number ranging from 5 to 17 32 . Phase-contrast MRI (PCMRI) measurements have quantified the total volumetric CSF pulsation, moving in and out of the intracranial space at the neck level, to be ~0.25 to 1 milliliter 3,37 . Peak systolic CSF flow velocities within the SSS range from ~1 to 10 cm/s in healthy subjects 7 .…”

Section: Introductionmentioning

confidence: 99%

Inter-operator Reliability of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Cerebrospinal Fluid Motion in the Cervical Spine

et al. 2015

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For the first time, inter-operator dependence of MRI based computational fluid dynamics (CFD) modeling of cerebrospinal fluid (CSF) in the cervical spinal subarachnoid space (SSS) is evaluated. In vivo MRI flow measurements and anatomy MRI images were obtained at the cervico-medullary junction of a healthy subject and a Chiari I malformation patient. 3D anatomies of the SSS were reconstructed by manual segmentation by four independent operators for both cases. CFD results were compared at nine axial locations along the SSS in terms of hydrodynamic and geometric parameters. Intraclass correlation (ICC) assessed the inter-operator agreement for each parameter over the axial locations and coefficient of variance (CV) compared the percentage of variance for each parameter between the operators. Greater operator dependence was found for the patient (0.19 0.78). For the healthy subject, hydraulic diameter and Womersley number had the least variance (CV= ~2%). For the patient, peak diastolic velocity and Reynolds number had the smallest variance (CV= ~3%). These results show a high degree of inter-operator reliability for MRI-based CFD simulations of CSF flow in the cervical spine for healthy subjects and a lower degree of reliability for patients with Type I Chiari malformation.

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Section: Introductionmentioning

confidence: 99%

Inter-operator Reliability of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Cerebrospinal Fluid Motion in the Cervical Spine

et al. 2015

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“…The pars posterior has the narrowest lumen of the cerebral aqueduct, while the ampulla has the widest lumen (19). Previous studies of CSF flow dynamics were made at a variety of different locations of the cerebral aqueduct, such as the mid-portion, the level of the inferior colliculi, or the junction with the fourth ventricle (18, 20, 21). To the best of our knowledge, however, there has been no study on the effects of scan level on CSF flow quantification.…”

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confidence: 99%

CSF Flow Quantification of the Cerebral Aqueduct in Normal Volunteers Using Phase Contrast Cine MR Imaging

Lee

Kim

et al. 2004

Korean J Radiol

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ObjectiveTo evaluate whether the results of cerebrospinal fluid (CSF) flow quantification differ according to the anatomical location of the cerebral aqueduct that is used and the background baseline region that is selected.Materials and MethodsThe CSF hydrodynamics of eleven healthy volunteers (mean age = 29.6 years) were investigated on a 1.5T MRI system. Velocity maps were acquired perpendicular to the cerebral aqueduct at three different anatomical levels: the inlet, ampulla and pars posterior. The pulse sequence was a prospectively triggered cardiac-gated flow compensated gradient-echo technique. Region-of-interest (ROI) analysis was performed for the CSF hydrodynamics, including the peak systolic velocity and mean flow on the phase images. The selection of the background baseline regions was done based on measurements made in two different areas, namely the anterior midbrain and temporal lobe, for 10 subjects.ResultsThe mean peak systolic velocities showed a tendency to increase from the superior to the inferior aqueduct, irrespective of the background baseline region, with the range being from 3.30 cm/sec to 4.08 cm/sec. However, these differences were not statistically significant. In the case of the mean flow, the highest mean value was observed at the mid-portion of the ampulla (0.03 cm3/sec) in conjunction with the baseline ROI at the anterior midbrain. However, no other differences were observed among the mean flows according to the location of the cerebral aqueduct or the baseline ROI.ConclusionWe obtained a set of reference data of the CSF peak velocity and mean flow through the cerebral aqueduct in young healthy volunteers. Although the peak systolic velocity and mean flow of the CSF differed somewhat according to the level of the cerebral aqueduct at which the measurement was made, this difference was not statistically significant.

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“…However, there have been many controversies regarding the true relationship between the cerebral blood flow (CBF) and CSF in mathematical models [8]. Previous models have varied from the simplest in which a portion of CBF produces CSF, to more complex models in which CSF production and CBF are mutually influenced and modulated [9]. Recent models have even suggested that the blood flow that produces CSF affects not only the quantity and pulsatility of CSF, but also the pulsatility that is transmitted from the cerebral blood vessels to the CSF [10].…”

Section: Hemodynamics and Csf Dynamicsmentioning

confidence: 99%

“…Recent models have even suggested that the blood flow that produces CSF affects not only the quantity and pulsatility of CSF, but also the pulsatility that is transmitted from the cerebral blood vessels to the CSF [10]. Various models have been postulated that describes the systemic arterial flow and whole cerebral blood flow, but as yet it is difficult to establish at the present time an accurate model that explains the relationship between cerebral blood flow and CSF pressure [9,11].…”

Section: Hemodynamics and Csf Dynamicsmentioning

confidence: 99%

New concept of cerebrospinal fluid dynamics in cerebral venous sinus thrombosis

Park

Yoon

2008

Medical Hypotheses

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Cerebrospinal Fluid Dynamics and Relation with Blood Flow

Abstract: The CSF segmentation algorithm is reproducible. Brain expansion was quickly regulated by a major extracerebral CSF flush flow, whereas ventricular CSF made only a very small contribution.

Cited by 207 publications

References 34 publications

Inter-operator Reliability of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Cerebrospinal Fluid Motion in the Cervical Spine

Inter-operator Reliability of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Cerebrospinal Fluid Motion in the Cervical Spine

CSF Flow Quantification of the Cerebral Aqueduct in Normal Volunteers Using Phase Contrast Cine MR Imaging

New concept of cerebrospinal fluid dynamics in cerebral venous sinus thrombosis

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