Abstract
SUMMARY: The feasibility of 4D flow MR imaging to visualize flow patterns and generate relative pressure maps in the dural venous sinus in healthy subjects (n = 60) and patients with dural arteriovenous fistulas (n = 7) was investigated. Dural venous drainage was classified based on torcular Herophili anatomy by using 4D flow MR imaging–derived angiograms and magnitude images. Subjects were scanned in a 3T clinical MR imaging system. 4D flow MR imaging enabled noninvasive characterization of dural sinus anatomy and mapping of relative pressure differences.
ABBREVIATIONS:
- DAVF
- dural arteriovenous fistula
- TS
- transverse sinus
Venous hypertension is thought to be implicated in dural arteriovenous fistulas (DAVFs) with aggressive presentation.1,2 We investigated the use of 4D flow MR imaging for the noninvasive assessment of DAVFs3 through measuring the vascular velocity vector field. These data can be processed for the analysis of the spatial and temporal distributions of flow and pressure gradients,4⇓–6 including dural venous sinus pressure and flow patterns. The purpose of this study was to compare 4D flow MR imaging–derived hemodynamics and relative pressure maps in the dural venous drainage of patients with DAVF and healthy subjects. In addition, we report on the anatomic variations found in the dural venous drainage.
Materials and Methods
Seven patients (age range, 33–72 years; mean age, 52 years; 2 women) diagnosed with unilateral DAVFs affecting the transverse/sigmoid sinus and 60 healthy subjects (age range, 45–75 years; mean age, 64 years; 32 women) were scanned by using a 3T clinical MR imaging system (MR750; GE Healthcare, Milwaukee, Wisconsin) with an 8-channel head coil. Phase-contrast MR imaging data with 3-directional velocity encoding were acquired with a radially undersampled 4D flow MR imaging sequence, phase contrast with vastly undersampled isotropic projection (PC-VIPR),7,8 and the following imaging parameters: velocity encoding = 80 cm/s for control patients (TR, 7.4 ms; TE, 2.7 ms) and 100 cm/s for patients with DAVFs (TR, 7.8 ms; TE, 2.5 ms); FOV = 22 × 22 × 16 cm3; 0.7 mm isotropic resolution; 14,000 projection angles; scan time = ∼7 minutes; flip angle α = 10°; and receiver bandwidth = ±83 kHz. Magnitude, velocity data, and PC angiograms were all generated with off-line reconstruction. Background phase correction of velocities was performed in Matlab (MathWorks, Natick, Massachusetts), and vessel segmentation was performed semiautomatically (Mimics; Materialise, Leuven, Belgium) from the phase-contrast angiograms. Pressure maps were also calculated in Matlab by using previously validated methods.5,6 This approach solves the Navier-Stokes equation by assuming blood is an incompressible Newtonian fluid (density = 1060 kg/m3; viscosity = 3.2 cP). Visualization of pressure differences and flow quantification were carried out in EnSight (CEI, Apex, North Carolina). Flow and area were quantified from cut planes in each transverse sinus (TS), left and right, placed 25 mm from the torcular Herophili, and pressure gradients were quantified as the pressure difference at 25 mm and 50 mm from the torcular Herophili. These measurements were performed by a Ph.D. candidate with 5 years of MR imaging postprocessing experience (L.A.R.-R.). The anatomy of the dural sinuses was classified according to Gökçe et al9 based on torcular Herophili anatomy. A senior neuroradiologist (P.A.T., >30 years of experience) inspected the images to determine anatomic classification.
Statistics were assessed by using ANOVA followed by post hoc analysis with the Tukey-Kramer method. Data normality was assessed with quantile-quantile plots. Analysis was performed in Matlab. P < .05 was set as the threshold for statistical significance.
Results
Representative color pressure maps in a healthy subject and a patient with DAVF are shown in Fig 1. For the healthy subject (Fig 1A, -D), blood pressure decreased downstream with lower pressure in the TS than in the superior sagittal sinus. However, the patient with DAVF (Fig 1C, -F) shows a pressure increase in the TS affected by the fistula and a decrease on the TS contralateral to the DAVF. Another patient pressure map and flow streamlines can be found in On-line Figs 1 and 2. The streamlines move retrograde from the site affected by the fistula into the right TS.
The anatomic variations in the dural sinus drainage were catalogued as follows: for healthy subjects, there were 10 type I, 35 type II, and 15 type III variations (On-line Fig 3 and On-line Table 1). For patients with DAVF, there were 5 type I and 2 type II variations. Flow and cross-sectional area measurements in healthy subjects are summarized in On-line Table 2.
Flow and pressure drops in the TS for all subjects are shown in Fig 2. For patients with DAVF, pressure increased along the TS ipsilateral to the fistula with a median of 0.055 ± 0.130 mm Hg, whereas pressure decreased in the TS contralateral to the fistula with a median of −0.367 ± 0.205 mm Hg (P = .109). In healthy subjects, the pressure decreased very similarly in both TSs, with values of −0.105 ± 0.033 mm Hg and −0.101 ± 0.043 mm Hg, respectively (P = .994). In patients with DAVF, flow in the TS affected by the fistula was 40 ± 129 mL/min, and flow in the TS contralateral to the fistula was 328 ± 134 mL/min (P = .046). In healthy subjects, independent of anatomy type, flow was significantly larger in the right TS (262 ± 83 mL/min) compared with the left TS (121 ± 56 mL/min; P < .001).
Discussion
Initially, we characterized dural venous sinus pressure in a population of 60 healthy subjects, establishing a reference frame for the interpretation of dural sinus pathology. The main findings of this study are an increase in pressure in the TS ipsilateral to the DAVF compared with a pressure drop in the contralateral TS. In healthy subjects, the pressure dropped similarly in the left and right TS. These findings suggest asymmetric pressure drops can potentially be used to identify patients with DAVFs, in whom the TS displaying an increase in pressure or smaller pressure drop represents the site affected by the DAVF. During conventional angiography, dural sinus pressure gradients are frequently measured invasively by navigating a coaxial microcatheter to the draining dural sinus. This preliminary study demonstrates that it is feasible to characterize relative pressure in DAVFs noninvasively by using 4D flow MR imaging.
Retrograde dural/cortical venous drainage is a risk factor for intracranial hemorrhage in patients with DAVFs.1 Consequently, hemodynamic assessment of DAVFs is important for an accurate characterization of severity. Blood flow directionality was successfully assessed for both patients with DAVF and healthy subjects. During this study, 1 patient DAVF classification was changed. Initially, the fistula was classified as type I; after demonstrating retrograde flow in the 4D flow MR imaging, the fistula was reclassified as Type IIa in the Cognard system. The technique described in this study can be implemented to explore other pathologies such as venous stenosis, which is often associated with idiopathic intracranial hypertension and pulsatile tinnitus.10
There are a number of limitations in this study. First, for group comparisons, we used time-average data because cardiac data were not recorded for all but 1 patient with DAVF. Second, the MR imaging technique we used has some potential inaccuracies in pressure mapping in the presence of turbulent flow, which requires more advanced pressure solvers.11 The pressure maps have not been validated against a criterion standard, which will be addressed in a follow-up study with invasive conventional angiography measures that navigate a coaxial microcatheter to the draining dural sinus. This study will also contain more patients with DAVFs.
Conclusions
Noninvasive pressure mapping in the dural sinuses is feasible with 4D flow MR imaging. In addition, 4D flow MR imaging allows blood flow directionality assessment along the dural sinuses, which can help clinicians detect retrograde flow in DAVFs.
Acknowledgments
One of the main contributors to this publication, Zachary J. Clark, MD, passed away suddenly and tragically before this manuscript was completed. Due to ICJME (international committee of medical journal editors) authorship requirements that all authors have the opportunity to review revisions and proofs prior to publication, Dr. Clark could not be included in the authors list. Zach greatly contributed to this work and will be dearly missed.
Footnotes
Disclosures: Kevin M. Johnson—RELATED: Grants/Grants Pending: National Institutes of Health*; UNRELATED: Consultancy: Vertex Pharmaceuticals; Other: GE Healthcare, Comments: the University of Wisconsin-Madison receives research support from GE Healthcare*. Patrick A. Turski—RELATED: Grants/Grants Pending: National Institutes of Health, Comments: RO1 Accelerated Neurovascular MRA*. Oliver Wieben—UNRELATED: Other: GE Healthcare, Comments: research agreement*. *Money paid to the institution.
This work was supported by National Institute on Aging grant P50-AG033514, National Institute of Neurological Disorders and Stroke grant R01NS066982, National Heart, Lung, and Blood Institute grant R01HL072260, National Institute of General Medical Sciences grant R25GM083252, the American Society of Neuroradiology Alzheimer's Grant Award, and GE Healthcare.
Paper previously presented at: Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, April 22–27, 2017; Honolulu, Hawaii, and Annual Meeting of the American Society of Neuroradiology, April 22–27, 2017; Long Beach, California.
Indicates open access to non-subscribers at www.ajnr.org
References
- Received July 7, 2017.
- Accepted after revision October 26, 2017.
- © 2018 by American Journal of Neuroradiology