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Non-invasive MRI quantification of cerebrospinal fluid dynamics in amyotrophic lateral sclerosis patients

BACKGROUND: Developing novel therapeutic agents to treat amyotrophic lateral sclerosis (ALS) has been difficult due to multifactorial pathophysiologic processes at work. Intrathecal drug administration shows promise due to close proximity of cerebrospinal fluid (CSF) to affected tissues. Development...

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Autores principales: Sass, Lucas R., Khani, Mohammadreza, Romm, Jacob, Schmid Daners, Marianne, McCain, Kyle, Freeman, Tavara, Carter, Gregory T., Weeks, Douglas L., Petersen, Brian, Aldred, Jason, Wingett, Dena, Martin, Bryn A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971921/
https://www.ncbi.nlm.nih.gov/pubmed/31959193
http://dx.doi.org/10.1186/s12987-019-0164-3
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author Sass, Lucas R.
Khani, Mohammadreza
Romm, Jacob
Schmid Daners, Marianne
McCain, Kyle
Freeman, Tavara
Carter, Gregory T.
Weeks, Douglas L.
Petersen, Brian
Aldred, Jason
Wingett, Dena
Martin, Bryn A.
author_facet Sass, Lucas R.
Khani, Mohammadreza
Romm, Jacob
Schmid Daners, Marianne
McCain, Kyle
Freeman, Tavara
Carter, Gregory T.
Weeks, Douglas L.
Petersen, Brian
Aldred, Jason
Wingett, Dena
Martin, Bryn A.
author_sort Sass, Lucas R.
collection PubMed
description BACKGROUND: Developing novel therapeutic agents to treat amyotrophic lateral sclerosis (ALS) has been difficult due to multifactorial pathophysiologic processes at work. Intrathecal drug administration shows promise due to close proximity of cerebrospinal fluid (CSF) to affected tissues. Development of effective intrathecal pharmaceuticals will rely on accurate models of how drugs are dispersed in the CSF. Therefore, a method to quantify these dynamics and a characterization of differences across disease states is needed. METHODS: Complete intrathecal 3D CSF geometry and CSF flow velocities at six axial locations in the spinal canal were collected by T2-weighted and phase-contrast MRI, respectively. Scans were completed for eight people with ALS and ten healthy controls. Manual segmentation of the spinal subarachnoid space was performed and coupled with an interpolated model of CSF flow within the spinal canal. Geometric and hydrodynamic parameters were then generated at 1 mm slice intervals along the entire spine. Temporal analysis of the waveform spectral content and feature points was also completed. RESULTS: Comparison of ALS and control groups revealed a reduction in CSF flow magnitude and increased flow propagation velocities in the ALS cohort. Other differences in spectral harmonic content and geometric comparisons may support an overall decrease in intrathecal compliance in the ALS group. Notably, there was a high degree of variability between cases, with one ALS patient displaying nearly zero CSF flow along the entire spinal canal. CONCLUSION: While our sample size limits statistical confidence about the differences observed in this study, it was possible to measure and quantify inter-individual and cohort variability in a non-invasive manner. Our study also shows the potential for MRI based measurements of CSF geometry and flow to provide information about  the hydrodynamic environment of the spinal subarachnoid space. These dynamics may be studied further to understand the behavior of CSF solute transport in healthy and diseased states.
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spelling pubmed-69719212020-01-27 Non-invasive MRI quantification of cerebrospinal fluid dynamics in amyotrophic lateral sclerosis patients Sass, Lucas R. Khani, Mohammadreza Romm, Jacob Schmid Daners, Marianne McCain, Kyle Freeman, Tavara Carter, Gregory T. Weeks, Douglas L. Petersen, Brian Aldred, Jason Wingett, Dena Martin, Bryn A. Fluids Barriers CNS Research BACKGROUND: Developing novel therapeutic agents to treat amyotrophic lateral sclerosis (ALS) has been difficult due to multifactorial pathophysiologic processes at work. Intrathecal drug administration shows promise due to close proximity of cerebrospinal fluid (CSF) to affected tissues. Development of effective intrathecal pharmaceuticals will rely on accurate models of how drugs are dispersed in the CSF. Therefore, a method to quantify these dynamics and a characterization of differences across disease states is needed. METHODS: Complete intrathecal 3D CSF geometry and CSF flow velocities at six axial locations in the spinal canal were collected by T2-weighted and phase-contrast MRI, respectively. Scans were completed for eight people with ALS and ten healthy controls. Manual segmentation of the spinal subarachnoid space was performed and coupled with an interpolated model of CSF flow within the spinal canal. Geometric and hydrodynamic parameters were then generated at 1 mm slice intervals along the entire spine. Temporal analysis of the waveform spectral content and feature points was also completed. RESULTS: Comparison of ALS and control groups revealed a reduction in CSF flow magnitude and increased flow propagation velocities in the ALS cohort. Other differences in spectral harmonic content and geometric comparisons may support an overall decrease in intrathecal compliance in the ALS group. Notably, there was a high degree of variability between cases, with one ALS patient displaying nearly zero CSF flow along the entire spinal canal. CONCLUSION: While our sample size limits statistical confidence about the differences observed in this study, it was possible to measure and quantify inter-individual and cohort variability in a non-invasive manner. Our study also shows the potential for MRI based measurements of CSF geometry and flow to provide information about  the hydrodynamic environment of the spinal subarachnoid space. These dynamics may be studied further to understand the behavior of CSF solute transport in healthy and diseased states. BioMed Central 2020-01-21 /pmc/articles/PMC6971921/ /pubmed/31959193 http://dx.doi.org/10.1186/s12987-019-0164-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Sass, Lucas R.
Khani, Mohammadreza
Romm, Jacob
Schmid Daners, Marianne
McCain, Kyle
Freeman, Tavara
Carter, Gregory T.
Weeks, Douglas L.
Petersen, Brian
Aldred, Jason
Wingett, Dena
Martin, Bryn A.
Non-invasive MRI quantification of cerebrospinal fluid dynamics in amyotrophic lateral sclerosis patients
title Non-invasive MRI quantification of cerebrospinal fluid dynamics in amyotrophic lateral sclerosis patients
title_full Non-invasive MRI quantification of cerebrospinal fluid dynamics in amyotrophic lateral sclerosis patients
title_fullStr Non-invasive MRI quantification of cerebrospinal fluid dynamics in amyotrophic lateral sclerosis patients
title_full_unstemmed Non-invasive MRI quantification of cerebrospinal fluid dynamics in amyotrophic lateral sclerosis patients
title_short Non-invasive MRI quantification of cerebrospinal fluid dynamics in amyotrophic lateral sclerosis patients
title_sort non-invasive mri quantification of cerebrospinal fluid dynamics in amyotrophic lateral sclerosis patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971921/
https://www.ncbi.nlm.nih.gov/pubmed/31959193
http://dx.doi.org/10.1186/s12987-019-0164-3
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