Contrast-Density Gradient Cone-Beam Computed Tomography: A Novel Dual-Injection Technique for Visualization of Dural...

Precise identification of the functional shunt compartment and its relationship to arterial feeders and venous drainage pathways is essential for treatment of intracranial dural arteriovenous fistulas (dAVFs). However, conventional digital subtraction angiography is limited by vessel overlap, whereas conventional 3-dimensional (3D) angiographic techniques provide limited flow-related information. We describe a novel contrast-density gradient cone-beam computed tomography (CBCT) technique that enables simultaneous visualization of arterial feeders, shunt points (SPs), vascular networks (VNs), and venous drainage pathways for treatment planning.

Forty-five consecutive patients with intracranial dAVFs underwent contrast-density gradient CBCT in 55 imaging sessions. Contrast-density gradient CBCT was performed by sequential administration of diluted contrast medium followed by undiluted contrast medium through a dual-barrel injector. Injection timing and contrast dilution were determined from arterial opacification time and venous opacification time measured on digital subtraction angiography.

The technique generated a contrast-density gradient that differentiated arterial inflow from venous outflow while preserving spatial relationships. No acquisition ultimately failed. Two acquisitions required repeat imaging because of inappropriate acquisition timing, with satisfactory images obtained after timing adjustment. No adverse events related to the imaging technique were observed. Representative cases demonstrated VNs separated from the functional venous sinus lumen, precise localization of SPs, and identification of lesion-specific treatment targets.

Contrast-density gradient CBCT enables simultaneous visualization of arterial feeders, SPs, VNs, and venous drainage pathways within a single 3D dataset. By integrating flow-related information with high-resolution 3D anatomy, the technique facilitates comprehensive evaluation of dAVF angioarchitecture and lesion-specific neuroendovascular treatment planning.