| Literature DB >> 33321880 |
Samer Zawy Alsofy1,2, Ioanna Sakellaropoulou2, Makoto Nakamura3, Christian Ewelt2, Asem Salma4, Marc Lewitz2, Heinz Welzel Saravia2, Hraq Mourad Sarkis2, Thomas Fortmann2, Ralf Stroop1.
Abstract
Anterior-communicating artery (ACoA) aneurysms have diverse configurations and anatomical variations. The evaluation and operative treatment of these aneurysms necessitates a perfect surgical strategy based on review of three-dimensional (3D) angioarchitecture using several radiologic imaging methods. We analyzed the influence of 3D virtual reality (VR) reconstructions versus conventional computed tomography angiography (CTA) scans on the identification of vascular anatomy and on surgical planning in patients with unruptured ACoA aneurysms. Medical files were retrospectively analyzed regarding patient- and disease-related data. Preoperative CTA scans were retrospectively reconstructed to 3D-VR images and visualized via VR software to detect the characteristics of unruptured ACoA aneurysms. A questionnaire was used to evaluate the influence of VR on the identification of aneurysm morphology and relevant arterial anatomy and on surgical strategy. Twenty-six patients were included and 520 answer sheets were evaluated. The 3D-VR modality significantly influenced detection of the aneurysm-related vascular structure (p = 0.0001), the recommended head positioning (p = 0.005), and the surgical approach (p = 0.001) in the planning of microsurgical clipping. Thus, reconstruction of conventional preoperative CTA scans into 3D images and the spatial presentation in VR models enabled greater understanding of the anatomy and pathology, provided realistic haptic feedback for aneurysm surgery, and influenced operation planning and strategy.Entities:
Keywords: anterior-communicating artery aneurysm; microsurgical clipping; surgical planning; three-dimensional reconstruction; unruptured intracranial aneurysm; virtual reality
Year: 2020 PMID: 33321880 PMCID: PMC7763342 DOI: 10.3390/brainsci10120963
Source DB: PubMed Journal: Brain Sci ISSN: 2076-3425