Olivier Baledent1, Pan Liu1, Serge Metanbou1, Cyrille Capel1, Sidy Fall1, and Roger Bouzerar1
1university hospital Jules Verne, Amiens, France
Synopsis
it is still debated how
breathing interact with the CSF. New Phase
contrast MRI sequence based on Echo Planar imaging (EPI-PC) can now produce
continuously during minutes a velocity map, more or less every 100 ms. We did not found in the
literature quantitative evaluation of the CSF stroke volume change during
breathing.
The aim of this
work is to quantify CSF dynamics change in the aqueduct and in the spinal canal
during the breathing and cardiac period using EPI-PC.
Background
Conventional cine Phase contrast MRI (Conv-PC)
can quantify Cerebro Spinal Fluid (CSF) dynamic by using cardiac
synchronization (1). This sequence can reconstruct only one mean cardiac flow curve
from all the cardiac cycles of the acquisition, acquisition that can take
minutes. Since the 1990ies many works have demonstrate how the CSF dynamics
interact with the arterial and venous flows (2-4). Nevertheless it is still debated
how breathing interact with the CSF. Some authors have shown that breathing influence more or less the CSF dynamics (5-8). Some of them postulate that CSF does not change its
velocities direction during many cardiac cycles but only by the influence of
breathing. Whereas others continue to think that in normal condition, CSF goes
up and down in respons of the systolic and diastolic period of the cardiac
cycle. CSF stroke volume (SV) is a useful parameter well known by the persons
working in this field that represents the CSF volume moving up down during the
cardiac cycle.
New Phase
contrast MRI sequence based on Echo Planar imaging (EPI-PC) can now produce
continuously during minutes a velocity map, more or less every 100 ms function
of the machine and of the quality wanted (9). We did not found in the literature
quantitative evaluation of the CSF stroke volume change during breathing.
The aim of this
work is to quantify CSF dynamics change in the aqueduct and in the spinal canal
during the breathing and cardiac period using EPI-PC.
Methods
The study was
performed on a 3T scanner with a 32 channels head coil was used.
Ten healthy adults volunteers signed the ethical agreement consent (ID-RCB :
2019-A02130-57) to investigate CSF flows in the aqueduct and at
the cervical level (fig 1). Two different acquisitions were used (fig 2):
• Conventional 2D Cine-PC (Conv PC) using retrospective plethysmograph
gating.
• 2D EPI PCMRI sequence free of any synchronization.
Post processing
was done by homemade software to calculate CSF flow curves
during cardiac cycle. Conv-PC provided only
one flow curve to represent all the cardiac cycles of the acquisition whereas
EPI-PC provided continuous flow dynamics curves including all the cardiac
cycles of the acquisition.
Then it was
possible to study the change of CSF flows between inspiration and expiration.
Each CSF flows
curve obtained from EPI PC signals (8-12 points) per cardiac cycle was
extrapolate to 32 points to be compared with conv PC.
Respiratory
physiological signal was recorded during the MRI acquisition using a pneumatic
belt sensor. This respiratory signal was used in the post processing to divide
the inspiration and expiration periods and reconstruct CSF flows dynamic of
these two different breathing periods. Then it was possible to study the change
of CSF flows between inspiration and expiration. SV was calculated for conv PC
and EPI PC and compared together.
Statistical
spearman correlation and paired t-wilcoxon tests were used to compared EPI-PC
and Conv-PC results.
Results
Both for Conv PC
and EPI PC, CSF flows were present and simply identifiable in the spinal spaces
and in the aqueduct in all the PCMRI of the subjects.
SV of the CSF in
the aqueduct measured in the Conv PC and EPI PC were well correlated (Rs=0.94,
p=0.0001) but the SV of CSF in the aqueduct measured by EPI PC were higher than
those measured by Conv PC (p=0.009).
SV of the CSF in the spinal canal measured in
the Conv PC and EPI PC were little less correlated (Rs=0.67, p=0.039) and the
SV of CSF in the spinal canal measured by EPI PC were this time smaller than
those measured by Conv PC (p=0.032) (fig 3).
An example of
the Curves obtained by EPI PC is presented in fig (4-5). For all the subjects it
was possible to calculate the SV of the CSF during inspiration and expiration
periods. In the aqueduct and in the spinal spaces CSF SV were respectively 9%
and 8% higher during the inspiration periods in comparison with the expiration
periods. In all the
subjects, even if exist a small difference in the SV during breathing, CSF
presented all times a change in the velocities direction during cardiac cycle
corresponding to existence of a flush period during cardiac systole and a
cranium filling period during diastole.
Discussion-Conclusion
Without any cardiac or respiratory gating, EPI PC offers possibility to explore continuously for the first time the CSF flows during many cardiac and respiratory cycles. Even if the spatial resolution is still limited these results shows a good correlation with the conv PC, actually the gold standard. The good thing it is that EPI PC was well correlated with the conv PC but the strange thing was that in the small aqueduct, EPI overestimate the SV in comparison with conv PC, whereas in the large spinal spaces the SV was under estimated. Nevertheless, in conclusion we have shown that physiological breathing modulate only the CSF flows signals by around 10% whereas the cardiac power is the main force able to change the direction of the flow during cardiac cycle.
Acknowledgements
Thanks to the MRI technicians: Garance Arbeaumont -Trocmé - Julien Van Gysel and Héléna Freulet
Thanks to the French Research agency: ANR-FIGURES & Hanuman
Thanks Région Haut de France
Thanks to MRI Research GIE-FF and CHU Amiens Picardie
Thanks to all the volunteers who trust us and let us
working with their spins.
Thanks to David Chechin for his scientific support.
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