Quantitative and qualitative comparison of 4D-DSA with 3D-DSA using computational fluid dynamics simulations in cerebral aneurysms
Lang S, Birkhold AI, Schmidt M, Endres J, Strother C, Dörfler A, Lücking H, Hölter P (2019)
Publication Type: Journal article
Publication year: 2019
Journal
Book Volume: 40
Pages Range: 1505-1510
Journal Issue: 9
DOI: 10.3174/ajnr.A6172
Abstract
BACKGROUND AND PURPOSE: 4D-DSA allows time-resolved 3D imaging of the cerebral vasculature. The aim of our study was to evaluate this method in comparison with the current criterion standard 3D-DSA by qualitative and quantitative means using computational fluid dynamics. MATERIALS AND METHODS: 3D- and 4D-DSA datasets were acquired in patients with cerebral aneurysms. Computational fluid dynamics analysis was performed for all datasets. Using computational fluid dynamics, we compared 4D-DSA with 3D-DSA in terms of both aneurysmal geometry (quantitative: Maximum diameter, ostium size [OZ1/2], volume) and hemodynamic parameters (qualitative: Flow stability, flow complexity, inflow concentration; quantitative: Average/maximum wall shear stress, impingement zone, low-stress zone, intra-aneurysmal pressure, and flow velocity). Qualitative parameters were descriptively analyzed. Correlation coefficients (r, P value) were calculated for quantitative parameters. RESULTS: 3D- and 4D-DSA datasets of 10 cerebral aneurysms in 10 patients were postprocessed. Evaluation of aneurysmal geometry with 4D-DSA (rmaximum diameter = 0.98, Pmaximum diameter <.001; rOZ1/OZ2 = 0.98/0.86, POZ1/OZ2 =.001/.002; rvolume = 0.98, Pvolume <.001) correlated highly with 3D-DSA. Evaluation of qualitative hemodynamic parameters (flow stability, flow complexity, inflow concentration) did show complete accordance, and evaluation of quantitative hemodynamic parameters (raverage/maximum wall shear stress diastole=0.92/0.88, Paverage/maximum wall shear stress diastole <.001/.001; raverage/maximum wall shear stress systole = 0.94/0.93, Paverage/maximum wall shear stress systole < .001/.001; rimpingement zone=0.96, Pimpingement zone <.001; rlow-stress zone=1.00, Plow-stress zone <.01; rpressure diastole=0.84,Ppressure diastole< .002; rpressure systole=0.9, Ppressure systole <.001; rflow velocity diastole=0.95, Pflow velocity diastole <.001; rflow velocity systole=0.93,Pflow velocity systole <.001) did show nearly complete accordance between 4D- and 3D-DSA. CONCLUSIONS: Despite a different injection protocol, 4D-DSA is a reliable basis for computational fluid dynamics analysis of the intracranial vasculature and provides equivalent visualization of aneurysm geometry compared with 3D-DSA.
Authors with CRIS profile
Manuel Schmidt
Department of Neuroradiology
Arnd Dörfler
Department of Neuroradiology
Hannes Lücking
Department of Neuroradiology
Philip Hölter
Department of Neuroradiology
Involved external institutions
United States (USA) (US)How to cite
APA:
Lang, S., Birkhold, A.I., Schmidt, M., Endres, J., Strother, C., Dörfler, A.,... Hölter, P. (2019). Quantitative and qualitative comparison of 4D-DSA with 3D-DSA using computational fluid dynamics simulations in cerebral aneurysms. American Journal of Neuroradiology, 40(9), 1505-1510. https://doi.org/10.3174/ajnr.A6172
MLA:
Lang, Sabine, et al. "Quantitative and qualitative comparison of 4D-DSA with 3D-DSA using computational fluid dynamics simulations in cerebral aneurysms." American Journal of Neuroradiology 40.9 (2019): 1505-1510.
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