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Impact of cerebrospinal and blood flow pulsatilities on periventricular white matter in patients with hydrocephalus
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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Figures

PC-MRI acquisition made on sagittal plane in intracranial (A and C) through the aqueduct of Sylvius and in extracranial (B and D) at the C2-C3 spinal level. Red figures (A and B) represent cerebral blood flow and Green figures (C and D) represent CSF flow. (E) Craniospinal system representing dynamic of neuro-fluids from the cardiac and respiratory systems. (F), (G) and (H) represent axial images of hydrocephalus patient brain, ADC map and FA direction color map, respectively.

Spearman correlation between fractional anisotropy (FA) in the isthmus (A), in the splenium (B) of the corpus callosum (CC) and aqueductal stroke volume (SV)

Spearman correlation between parallel diffusion (E1) (A), apparent diffusion coefficient (ADC) (B) of the right anterior limb of internal capsule (ALICR) and spinal volume (SV). (C) represent spearman correlation between E1 of the left anterior limb of internal capsule (ALICL) and spinal stroke volume (SV).

Spearman correlation between perpendicular diffusion (E23) of the genu of corpus callosum (CC) (A), apparent diffusion coefficient (ADC) of the rostral body of CC (B) and α Intra factor.

Spearman correlation between fractional anisotropy (FA) of the right (A) and left (B) anterior limb of internal capsule (ALIC) and α Intra factor. Spearman correlation between parallel diffusion (E1) of the right (C) and left (D) posterior limb of internal capsule (PLIC) and α Intra factor. (E) represent spearman correlation between the apparent diffusion coefficient (ADC) of corona radiata (CR) and α Intra factor.

Proc. Intl. Soc. Mag. Reson. Med. 28 (2020)
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