Fadoua Saadani-Makki1,2,3, Malek Makki3, Serge Metanbou4, Cyrille Capel 5, and Olivier Balédent1,2
1Department of Image Processing, University Hospital, Amiens, France, 2CHIMERE EA 7516, Research Team for Head & Neck, University of Picardie Jules Verne, Amiens, France, 3GIE Faire Face, CHU Amiens Picardie, Amiens, France, 4Department of Radiology, University Hospital, Amiens, France, 5Department of Neurosurgery, University Hospital, Amiens, France
Synopsis
The aim of this study was to assess the
relationship between neuro-fluids dynamic and microstructure architecture of
white matter fibers in hydrocephalus patients. Twenty-eight hydrocephalus
patients underwent simultaneously diffusion tensor and phase contrast imaging.
A statistical correlation between diffusion and flow parameters has shown a
biological causal relationship between abnormal brain neuro-fluids dynamic and white
matter alterations in hydrocephalus patients.
Introduction
Hydrocephalus
is characterized by cerebral ventricles dilation which impact white matter
fibers, cerebral blood and cerebrospinal fluid circulations. This pathology is
often associated with form of dementia like other neurodegenerative diseases as
Alzheimer. Studies have shown that 5% of Alzheimer patients are misdiagnosed
and presented an active hydrocephalus (AH) (1,2). AH patients are easily
treatable by CSF shunt placement, it is the unique case of reversible dementia.
Actually, mainly based on morphological indexes, neuroradiological diagnosis
could improve by taking in account diffusion and phase contrast MRI investigations
to define new biomarkers of AH.
DTI-MRI
and PC-MRI are valuable MRI sequences to respectively detect microstructural
alterations of periventricular white matter (PVWM) (3,4,5,6) and hydro and
hemodynamic perturbations (7,8,9,10,11) in hydrocephalus patients. Despite the advances
in MRI research, the diagnosis of hydrocephalus lacks quantitative image
biomarkers that can be used to better understand the physiopathology of
hydrocephalus to be able to suggest an appropriate treatment. Our hypothesis is
that there is an interaction between the brain tissue microstructure
alterations and the cerebral hydro and hemodynamics and this might bring new
biomarkers for hydrocephalus.Material and Methods
Patients: 28 patients with suspected active hydrocephalus (mean age
72 ± 8 Y) were enrolled. The diagnosis was based on the presence of gait
disturbance, cognitive deterioration and/or urinary incontinence and
ventricular dilation (Evans index>0.3).
MRI sequences: The MRI exam
were performed on a 3.0 T scanner. CSF
flows were investigated by 2D PC-MRI at the intracranial and the
erxtracranial levels (Figure 1) in the aqueduct of Sylvius and the spinal subarachnoid
spaces for the CSF and in the internal carotid arteries (ICAs), the internal
jugular veins (IJVs), the basilar artery (BA) and the sinuses (sagittal and
straight) for the blood. The imaging parameters are:
TR and TE=min, FOV: 140 × 140 mm2,
thickness: 5 mm, FA: 25° for vascular flows and 20° for CSF flows, spatial
resolution: 0.5 mm × 0.5 mm. The Venc was 60 cm/s for vascular flows and 5 cm/s
to 30 cm/s for CSF flows. 32 images were reconstructed to represent
a mean cardiac cycle (cc). Total acquisition time was 8 min. DTI-MRI was
performed with 6 diffusion directions and 2 repetitions, b = 1000 (s/mm2),
SENSE=2, 45 slices, 2 mm
thickness. Isotropic voxel at the acquisition (2x2x2 mm3)
reconstructed in 1x1x1 mm3. The FOV was 220x220 mm2, and
the acquisition time was
5 min.
Images analysis: For PC-MRI, dedicated software (12) was used to segment
and calculate CSF and BF curves along
cardiac cycle in all vessels and ROI. Then, aqueductal and spinal CSF stroke volumes (SV) were calculated.
The total intracranial arterial CBF (IntraACBF)
was calculated by adding both the (ICAs) and BA flows. The total intracranial
venous CBF (IntraVCBF) was calculated by adding the sinuses flows. Since, our
measure does not take in account the flow in the peripheral veins and considering that ACBF
must be equal to VCBF, the IntraVCBF was corrected by αIntra factor (ratio of
IntraACBF/IntraVCBF).
For DTI-MRI, manual delineation was performed on the following structures:
genu, rostral body, body, isthmus and splenium of the corpus callosum (CC),
anterior limb of internal capsule (ALIC), posterior limb of internal capsule
(PLIC) and corona radiata (CR). For ALIC, PLIC and CR, ROI were performed
bilaterally. Parallel (E1) and perpendicular (E23)
diffusions, ADC and FA were calculated in all the delineated structures.
Statistical analysis: Spearman correlation was used to correlate flow and
DTI parameters.Results
Negative significant correlations were observed between FA of Isthmus
and Splenium of the CC and aqueductal SV (r = -0.406, p = 0.032; r = -0.460, p
= 0.014, respectively) (Figure 2). Negatif significant relationships were found
between E1ALICR, ADC ALICR, E1ALICL
and spinal SV (r = -0.469, p= 0.012; r = -0.429, p = 0.023; r = -0.402, p = 0.034,
respectively) (Figure 3). Positive significant relationship were observed
between E23 CC genu, ADC CC rostral body and α Intra factor (r = 0.398, p = 0.036; r =
0.389, p = 0.041, respectively) (Figure 4). Negative significant correlation
was found between FA ALICR, FA ALICL and α Intra factor (r = -0.451, p = 0.016; r =
-0.478 , p = 0.010, respectively) (Figure 5). Positive
correlation was found between E1PLICR, E1PLICL,
ADC CRL
and α Intra factor (r = 0.382,
p = 0.045; r = 0.451, p = 0.016; r = 0.441, p = 0.019, respectively) (Figure 5).Discussion
Our results suggest that higher aqueductal and spinal CSF SV may cause
damage to axonal membrane, de/dysmyelination or reduced amount of intra-axonal
structures in CC and ALIC. In addition, the increase in α Intra factor is associated with the increase
in DTI indices in CC, ALIC, PLIC and CR suggesting that some hemodynamic
alterations may be in part responsible in changes of PVWM in hydrocephalus
patients.Conclusion
CSF SV and αIntra factor may be
used as good predictors for changes in microstructure of PVWM in hydrocephalus
patients.
Disturbance in the pulsatility of CSF and CBF associated with alteration
in the misrostructure of PVWM could be good biomarkers to evaluate the impact
of active hydrocephalus on the brain.Acknowledgements
No acknowledgement found.References
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