• World Neurosurg · Jul 2021

    Cone-beam computed tomography fusion technique for vascular assessment of skull base meningiomas.

    • Keisuke Yoshida, Takenori Akiyama, Satoshi Takahashi, Tomoru Miwa, Takashi Horiguchi, Hikaru Sasaki, and Masahiro Toda.
    • Department of Neurosurgery, Keio University School of Medicine, Tokyo, Japan; Department of Neurosurgery, Mihara Memorial Hospital, Gunma, Japan.
    • World Neurosurg. 2021 Jul 1; 151: 61-69.

    ObjectiveCone-beam computed tomography (CBCT) images for skull base tumors provide detailed vascular information and localization in regard to surrounding bony structures. We report use of the CBCT fusion technique for skull base meningiomas.MethodsSix patients with petroclival or petrotentorial meningiomas supplied by multiple arterial systems were preoperatively evaluated using CBCT fusion imaging. Fusion images were reconstructed from three-dimensional rotational angiography with contrast agent injections from the internal carotid artery (ICA) and external carotid artery in 4 cases, vertebral artery and external carotid artery in 1 case, and ICA and vertebral artery in 1 case.ResultsThe feeding pedicles and tumor stains from 2 arterial systems were differentiated by separate colors. The courses and territories of the ICA dural feeders or ICA/vertebral artery pial feeders were easily distinguished from the external carotid artery dural feeders. Anastomoses between thin feeders from different arterial systems could be detected. Mixed stain (stain with both colors) was observed in some tumor compartments, suggesting dual supply from 2 arterial systems and the presence of peritumoral anastomoses. All patients underwent preoperative embolization without complications.ConclusionsCBCT fusion images clearly visualized the feeders from each arterial system, the vascular compartments within the tumor, and possible peritumoral anastomoses. This technique provides a substantial contribution to both preoperative embolization and surgical resection of skull base meningiomas.Copyright © 2021 Elsevier Inc. All rights reserved.

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