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Accuracy of 4D Flow Measurement of Cerebrospinal Fluid Dynamics in the Cervical Spine: An In Vitro Verification Against Numerical Simulation

Overview of attention for article published in Annals of Biomedical Engineering, April 2016
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Title
Accuracy of 4D Flow Measurement of Cerebrospinal Fluid Dynamics in the Cervical Spine: An In Vitro Verification Against Numerical Simulation
Published in
Annals of Biomedical Engineering, April 2016
DOI 10.1007/s10439-016-1602-x
Pubmed ID
Authors

Soroush Heidari Pahlavian, Alexander C. Bunck, Suraj Thyagaraj, Daniel Giese, Francis Loth, Dennis M. Hedderich, Jan Robert Kröger, Bryn A. Martin

Abstract

Abnormal alterations in cerebrospinal fluid (CSF) flow are thought to play an important role in pathophysiology of various craniospinal disorders such as hydrocephalus and Chiari malformation. Three directional phase contrast MRI (4D Flow) has been proposed as one method for quantification of the CSF dynamics in healthy and disease states, but prior to further implementation of this technique, its accuracy in measuring CSF velocity magnitude and distribution must be evaluated. In this study, an MR-compatible experimental platform was developed based on an anatomically detailed 3D printed model of the cervical subarachnoid space and subject specific flow boundary conditions. Accuracy of 4D Flow measurements was assessed by comparison of CSF velocities obtained within the in vitro model with the numerically predicted velocities calculated from a spatially averaged computational fluid dynamics (CFD) model based on the same geometry and flow boundary conditions. Good agreement was observed between CFD and 4D Flow in terms of spatial distribution and peak magnitude of through-plane velocities with an average difference of 7.5 and 10.6% for peak systolic and diastolic velocities, respectively. Regression analysis showed lower accuracy of 4D Flow measurement at the timeframes corresponding to low CSF flow rate and poor correlation between CFD and 4D Flow in-plane velocities.

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Geographical breakdown

Country Count As %
United States 1 2%
Sweden 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 24%
Student > Doctoral Student 7 13%
Student > Master 7 13%
Student > Ph. D. Student 7 13%
Other 3 5%
Other 7 13%
Unknown 11 20%
Readers by discipline Count As %
Engineering 17 31%
Medicine and Dentistry 12 22%
Neuroscience 6 11%
Physics and Astronomy 3 5%
Social Sciences 1 2%
Other 2 4%
Unknown 14 25%