IMPORTANCE: This study offers a new approach for the quantification of CSF dynamics. BACKGROUND: Non-invasive method to quantify the CSF dynamics in the subarachnoid space of the optic nerve is highly desirable. The aim of the study was to measure slow-flow CSF velocities in healthy controls and normal tension glaucoma patients between the intracranial cavity and the subarachnoid space of the optic nerve. DESIGN: Prospective observational study. PARTICIPANTS: Eleven age-matched healthy volunteers and 15 normal tension glaucoma patients. METHODS: Using phase contrast images, the phase shift in MRI diffusion images can be used to determine the flow velocity. Flow-range ratio between the intracranial cavity and the subarachnoid space of the optic nerve was calculated. MAIN OUTCOME MEASURE: Flow-range ratio between the intracranial cavity and the subarachnoid space of the optic nerve was calculated. RESULTS: First, phantom measurements were provided to validate the slow-flow velocity calculations. Second, flow-range ratio was validated for the healthy controls (0.63 ± 0.05), with the range being similar for the right and left optic nerve (P = 0.1). Statistically significant results were obtained (P < 0.05) when comparing the flow-range ratio in the optic nerve of healthy controls (n = 22 eyes, 0.63 ± 0.05) with the flow-range ratio in pathological optic nerves (n = 23, 0.55 ± 0.08) of normal tension glaucoma patients. MANOVA revealed no dependency between flow-range ratio and patient dependent variables. CONCLUSION AND RELEVANCE: Diffusion-weighted imaging provides a method to evaluate CSF flow within the subarachnoid space of the optic nerve in a non-invasive manner. Compared to healthy controls, patients with normal tension glaucoma measure a significantly lower flow-range ratio. This finding suggests a possible role of impaired CSF dynamics in the pathophysiology in normal tension glaucoma.
IMPORTANCE: This study offers a new approach for the quantification of CSF dynamics. BACKGROUND: Non-invasive method to quantify the CSF dynamics in the subarachnoid space of the optic nerve is highly desirable. The aim of the study was to measure slow-flow CSF velocities in healthy controls and normal tension glaucomapatients between the intracranial cavity and the subarachnoid space of the optic nerve. DESIGN: Prospective observational study. PARTICIPANTS: Eleven age-matched healthy volunteers and 15 normal tension glaucomapatients. METHODS: Using phase contrast images, the phase shift in MRI diffusion images can be used to determine the flow velocity. Flow-range ratio between the intracranial cavity and the subarachnoid space of the optic nerve was calculated. MAIN OUTCOME MEASURE: Flow-range ratio between the intracranial cavity and the subarachnoid space of the optic nerve was calculated. RESULTS: First, phantom measurements were provided to validate the slow-flow velocity calculations. Second, flow-range ratio was validated for the healthy controls (0.63 ± 0.05), with the range being similar for the right and left optic nerve (P = 0.1). Statistically significant results were obtained (P < 0.05) when comparing the flow-range ratio in the optic nerve of healthy controls (n = 22 eyes, 0.63 ± 0.05) with the flow-range ratio in pathological optic nerves (n = 23, 0.55 ± 0.08) of normal tension glaucomapatients. MANOVA revealed no dependency between flow-range ratio and patient dependent variables. CONCLUSION AND RELEVANCE: Diffusion-weighted imaging provides a method to evaluate CSF flow within the subarachnoid space of the optic nerve in a non-invasive manner. Compared to healthy controls, patients with normal tension glaucoma measure a significantly lower flow-range ratio. This finding suggests a possible role of impaired CSF dynamics in the pathophysiology in normal tension glaucoma.
Authors: Albert Neutzner; Laura Power; Markus Dürrenberger; Hendrik P N Scholl; Peter Meyer; Hanspeter E Killer; David Wendt; Corina Kohler Journal: Fluids Barriers CNS Date: 2019-06-13
Authors: David Fleischman; Omkar Kaskar; Rayad Shams; Xinxin Zhang; Daniel Olson; Carlton Zdanski; Brian D Thorp; Andrey V Kuznetsov; Landon Grace; Yueh Z Lee Journal: Front Neurol Date: 2019-10-23 Impact factor: 4.003
Authors: Petter Holmlund; Karen-Helene Støverud; Anders Wåhlin; Urban Wiklund; Jan Malm; Gauti Jóhannesson; Anders Eklund Journal: Invest Ophthalmol Vis Sci Date: 2021-04-01 Impact factor: 4.799