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Noninvasive Pressure Measurements in the Transverse Sinuses using ICOSA6 4DFlow – an In Vitro Validation with Catheter-based Manometry
Henrik Haraldsson1, Keerthi Valluru1, Megan Ballweber1, Ning Jin2, Sinyeob Ahn3, Evan Kao1, David Saloner1,4, and Matthew Amans1
1University of California, San Francisco, San Francisco, CA, United States, 2Siemens Healthcare, Chicago, IL, United States, 3Siemens Healthcare, San Francisco, CA, United States, 4Veterans Affairs Medical Center, San Francisco, CA, United States

Synopsis

Idiopathic intracranial hypertension is a condition of elevated intracranial cerebrospinal fluid pressure. Transverse sinus stenoses are clearly related to the pathophysiology, and catheter-based manometry is the “gold standard” to assess pressure gradients across these stenoses. The aim of this work is to evaluate the feasibility of assessing these pressure gradients in the intracranial veins using 4DFlow with ICOSA6 motion encoding – which also account for turbulence - and to compare these pressure gradients with catheter-based manometry. Pressure gradient were measured in patient specific phantoms using both 4DFlow and catheter-based manometry. The pressure gradient assessed showed good agreement when accounting for turbulence.

Introduction

Idiopathic Intracranial Hypertension (IIH) is a condition of elevated intracranial cerebrospinal fluid (CSF) pressure and is associated with irreversible vision loss, severe headaches, and pulsatile tinnitus1. Bilateral transverse sinus stenoses are clearly related to the pathophysiology. While the inciting event of IIH is unknown, it is apparent that transverse sinus stenoses are a critical part of a positive feedback loop, and disrupting transverse sinus stenoses with venous sinus stenting can break the vicious cycle and cure IIH and the associated pulsatile tinnitus2–9. The pressure gradient across a stenosis is a measure of its hemodynamical burden, and assessment of intracranial venous pressure gradients using catheter-based manometry is therefore invaluable in the investigation of IIH.

Pressure gradients can be derived from the velocity field obtained with 4DFlow MRI10,11 but has up until recently been unable to account for the turbulence commonly caused by the stenoses with the conventional 4-point velocity encoding. Recently, 4DFlow with ICOSA6 motion encoding has been developed to improve the assessment of pressure gradient measurements across a stenosis taking into account for the turbulence12,13.

The aim of this work is to evaluate the feasibility of assessing pressure gradients in the intracranial veins using 4DFlow with ICOSA6 motion, and to compare these pressure gradients with catheter-based manometry.

Methods

Three patients with IIH underwent MR angiography and lumbar puncture. The intracranial veins were segmented and contoured - from the distal transverse sinus to the proximal internal jugular vein. The geometries were 3D printed in wax using a Solidscape 3Z Max2 3D printer. The printed geometries were cast in Sylgard 184 Silicone, after which the wax was melted away (see Figure 1).

Blood mimicking fluid (60% water and 40% glycerol, doped with 10cc Gd-DTPA per 6 liters fluid) was pumped through the patient specific phantoms at 7ml/s. Velocities and turbulence were measured using an ICOSA6 motion encoded 4DFlow sequence using a FOV 160×112×64mm, matrix 320×320×128, TR=8.9ms, TE=5.7ms, flip angle 20°, and VENC=1.5m/s.

The velocities and turbulence (Reynolds stresses) were obtained from the prototype ICOSA6 motion encoded 4DFlow sequence on a clinical 3T scanner (MAGNETOM Skyra, Siemens Healthcare, Erlangen, Germany), and the pressure gradients were computed by solving the pressure Poisson equation12 – once accounting for the turbulence, and once neglecting the turbulence. Pressure profiles along the veins were generated by extracting the pressure along the centerline of the vessel.

The manometry acquisition was performed using GE Carescape monitor B650. A Codman Prowler Select Plus 0.21” catheter (Codman Neurovascular) was inserted through a 5F access port into extension tubing proximal to the jugular portion of the phantom and navigated into the distal transverse sinus over a guidewire (Boston Scientific Transend EX Guidewire 0.014 in. x 205 cm). Per our clinical protocol pressures are acquired at multiple location along the venous anatomy using a pullback technique. Eight of these location lays within the coverage of the phantoms. The in vitro pressures were therefor assessed using the same technique at these eight discrete locations: Distal Transverse Sinus, Proximal Transverse Sinus, Transverse Sigmoid Junction, Mid Sigmoid Sinus, Proximal Sigmoid Sinus, Internal Jugular Bulb, Distal Internal Jugular Vein, and Proximal Internal Jugular Vein. The catheter-based pressure measurement experiments were repeated three times and values were averaged at each point.

The agreement between pressures obtain by 4DFlow and manometry was evaluated by comparing the total pressure loss across the geometry, as well as the least square error for all eight locations.

Results

The pressure gradient assessed with 4DFlow were in good agreement with the catheter-based manometry for all three geometries when accounting for turbulence using the ICOSA6 technique, as shown in Figure 2 and Table 1. Good agreement was also seen for the non-stenotic phantoms while neglecting the turbulence; however, the deviation increases with increased turbulence generated in the models with a stenosis.

Discussion

4DFlow with ICOSA6 motion encoding is able to quantify pressure gradients within the intracranial veins even in the presence of a tight stenosis when compared to catheter-based manometry. ICOSA6 improves accuracy over traditional MR techniques because it accounts for the full effects of pressure loss induced by turbulence energy dissipation. Neglecting the turbulence greatly underestimates the pressure gradient in the stenotic geometry.

Conclusion

4DFlow show the potential to accurately assess pressure gradients in the narrow intracranial vessels, even in the presence of a stenosis that causes turbulence.

Acknowledgements

No acknowledgement found.

References

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7. Onder H, Gocmen R, Gursoy-Ozdemir Y. Reversible transverse sinus collapse in a patient with idiopathic intracranial hypertension. BMJ Case Rep. 2015;2015. doi:10.1136/bcr-2014-011606

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Figures

Figure 1. Patient specific phantom covering the distal transverse sinus to the proximal internal jugular vein. A blood-mimicking fluid is driven by a step motor at 7ml/s. A pressure microcatheter (blue) has been inserted from the jugular side (bottom of image) to measure the pressure along the geometry.

Figure 2: Pressure profiles along the intracranial venous system from the three phantoms. The blue linedisplays the pressure profile obtained from 4DFlow with ICOSA6 motion encoding when accounting for turbulence, whereas the green line display the pressure obtain while neglecting turbulence. The red crosses display the pressure profile as obtained with catheter-based manometry.

Table 1: Pressure gradient derived from 4DFlow compared with catheter-based manometry. The total pressure gradient denotes the pressure gradient between the distal transverse sinus and the proximal internal jugular vein. The minimum root mean square error denotes the minimum root mean square error for all eight locations along the vessel. Note that the manometry measurement provided single digit pressure gradient.

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