Literature DB >> 27384938

Clearance of Subarachnoid Hemorrhage from the Cerebrospinal Fluid in Computational and In Vitro Models.

K Tangen1, N S Narasimhan1, K Sierzega1, T Preden1, A Alaraj2, A A Linninger3,4.   

Abstract

Subarachnoid hemorrhage (SAH) mostly occurs following the rupture of cerebral aneurysm causing blood to leak into the cranial subarachnoid space (SAS). Hemorrhage volume has been linked to the development of secondary vasospasm. Therefore, eliminating blood contaminants from the cerebrospinal fluid (CSF) space after the initial hemorrhage could improve patient outcomes and prevent the development of vasospasm. A number of clinical trials demonstrate that lumbar drainage effectively clears hemorrhagic debris from the cranial compartment. The benefits of optimal lumbar drainage rate and patient orientation are difficult to determine by trial-and-error in live patients, because of the invasive nature, limited subject availability and ethical considerations. Therefore, there is a lack of consensus about clinical guidelines for the use of continuous lumbar drainage following the ictus of SAH. A realistic bench-top model which reproduces the anatomy and CSF dynamics of the human central nervous system (CNS) was built to experimentally study contaminant clearance scenarios under lumbar drainage. To mimic a hemorrhagic event, porcine blood was injected at the basal cistern level of the bench-top model and the efficacy of lumbar drains was assessed experimentally for different drainage rates and patient orientations. In addition, the efficacy of blood clearance was predicted with a computational fluid dynamics (CFD) model. Bench-top experiments and CFD simulations identify body position and drainage rates as key parameters for effective blood clearance. The study findings suggest the importance of treatment in upright position to maximize contaminant diversion from the cranial CSF compartment. The bench-top CNS model together with the validated CFD predictions of lumbar drainage systems can serve to optimize subject-specific treatment options for SAH patients.

Entities:  

Keywords:  Computational fluid dynamics; In vitro model; Lumbar drain; Subarachnoid hemorrhage

Mesh:

Year:  2016        PMID: 27384938     DOI: 10.1007/s10439-016-1681-8

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  8 in total

1.  Anthropomorphic Model of Intrathecal Cerebrospinal Fluid Dynamics Within the Spinal Subarachnoid Space: Spinal Cord Nerve Roots Increase Steady-Streaming.

Authors:  Mohammadreza Khani; Lucas R Sass; Tao Xing; M Keith Sharp; Olivier Balédent; Bryn A Martin
Journal:  J Biomech Eng       Date:  2018-08-01       Impact factor: 2.097

2.  A 3D subject-specific model of the spinal subarachnoid space with anatomically realistic ventral and dorsal spinal cord nerve rootlets.

Authors:  Lucas R Sass; Mohammadreza Khani; Gabryel Connely Natividad; R Shane Tubbs; Olivier Baledent; Bryn A Martin
Journal:  Fluids Barriers CNS       Date:  2017-12-19

3.  A numerical investigation of intrathecal isobaric drug dispersion within the cervical subarachnoid space.

Authors:  Per Thomas Haga; Giulia Pizzichelli; Mikael Mortensen; Miroslav Kuchta; Soroush Heidari Pahlavian; Edoardo Sinibaldi; Bryn A Martin; Kent-Andre Mardal
Journal:  PLoS One       Date:  2017-03-15       Impact factor: 3.240

4.  Characterization of intrathecal cerebrospinal fluid geometry and dynamics in cynomolgus monkeys (macaca fascicularis) by magnetic resonance imaging.

Authors:  Mohammadreza Khani; Braden J Lawrence; Lucas R Sass; Christina P Gibbs; Joshua J Pluid; John N Oshinski; Gregory R Stewart; Jillynne R Zeller; Bryn A Martin
Journal:  PLoS One       Date:  2019-02-27       Impact factor: 3.240

5.  In vitro and numerical simulation of blood removal from cerebrospinal fluid: comparison of lumbar drain to Neurapheresis therapy.

Authors:  Mohammadreza Khani; Lucas R Sass; M Keith Sharp; Aaron R McCabe; Laura M Zitella Verbick; Shivanand P Lad; Bryn A Martin
Journal:  Fluids Barriers CNS       Date:  2020-03-16

6.  Human in silico trials for parametric computational fluid dynamics investigation of cerebrospinal fluid drug delivery: impact of injection location, injection protocol, and physiology.

Authors:  Mohammadreza Khani; Goutham Kumar Reddy Burla; Lucas R Sass; Ostin N Arters; Tao Xing; Haiming Wu; Bryn A Martin
Journal:  Fluids Barriers CNS       Date:  2022-01-28

7.  Non-Animal Models in Experimental Subarachnoid Hemorrhage Research: Potentials and the Dilemma of the Translation from Bench to Bedside.

Authors:  Cihat Karadag; Jay Gopalakrishnan; Christiane von Saß; Jan F Cornelius; Daniel Hänggi; Jasper Hans van Lieshout; Marcel A Kamp
Journal:  Transl Stroke Res       Date:  2021-10-29       Impact factor: 6.829

8.  Correlation of a new hydrodynamic index with other effective indexes in Chiari I malformation patients with different associations.

Authors:  Seifollah Gholampour; Hanie Gholampour
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

  8 in total

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