Abstract
Abstract
Background
Visualization, analysis and characterization of the angioarchitecture of a brain arteriovenous malformation (bAVM) present crucial steps for understanding and management of these complex lesions. Three-dimensional (3D) segmentation and 3D visualization of bAVMs play hereby a significant role. We performed a systematic review regarding currently available 3D segmentation and visualization techniques for bAVMs.
Methods
PubMed, Embase and Google Scholar were searched to identify studies reporting 3D segmentation techniques applied to bAVM characterization. Category of input scan, segmentation (automatic, semiautomatic, manual), time needed for segmentation and 3D visualization techniques were noted.
Results
Thirty-three studies were included. Thirteen (39%) used MRI as baseline imaging modality, 9 used DSA (27%), and 7 used CT (21%). Segmentation through automatic algorithms was used in 20 (61%), semiautomatic segmentation in 6 (18%), and manual segmentation in 7 (21%) studies. Median automatic segmentation time was 10 min (IQR 33), semiautomatic 25 min (IQR 73). Manual segmentation time was reported in only one study, with the mean of 5–10 min. Thirty-two (97%) studies used screens to visualize the 3D segmentations outcomes and 1 (3%) study utilized a heads-up display (HUD). Integration with mixed reality was used in 4 studies (12%).
Conclusions
A golden standard for 3D visualization of bAVMs does not exist. This review describes a tendency over time to base segmentation on algorithms trained with machine learning. Unsupervised fuzzy-based algorithms thereby stand out as potential preferred strategy. Continued efforts will be necessary to improve algorithms, integrate complete hemodynamic assessment and find innovative tools for tridimensional visualization.
Funder
Neuroscience Center Zurich, University of Zurich
University of Zurich
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Reference64 articles.
1. Lawton MT, Rutledge WC, Kim H et al (2015) Brain arteriovenous malformations. Nat Rev Dis Primers 1:15008. https://doi.org/10.1038/nrdp.2015.8
2. Mohr JP, Parides MK, Stapf C et al (2014) Medical management with or without interventional therapy for unruptured brain arteriovenous malformations (ARUBA): a multicentre, non-blinded, randomised trial. Lancet 383(9917):614–621. https://doi.org/10.1016/S0140-6736(13)62302-8
3. Chen C-J, Ding D, Derdeyn CP et al (2020) Brain arteriovenous malformations: A review of natural history, pathobiology, and interventions. Neurology 95(20):917–927. https://doi.org/10.1212/WNL.0000000000010968
4. Yasargil MG (1987) AVM of the brain, history, embryology, pathological considerations, hemodynamics, diagnostic studies, diagnostic studies, microsurgical anatomy, Microneurosurgery, 4 Vols, Vol.3A. 1st ed. Thieme
5. Raman A, Uprety M, Calero MJ et al (2022) A systematic review comparing digital subtraction angiogram with magnetic resonance angiogram studies in demonstrating the angioarchitecture of cerebral arteriovenous malformations. Cureus 14(6):e25803. https://doi.org/10.7759/cureus.25803
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