by Daniel Behme, Samuel Voß, Jana Korte, Maximilian Thormann, Anastasios Mpotsaris, Sylvia Saalfeld, Gabor Janiga, Philipp Berg
Abstract:
Introduction/Purpose The discrimination between hemodynamically stable and unstable intracranial aneurysms remains challenging. Recent studies reveal the potential existence of intra-aneurysmal velocity fluctuations, which appear at high frequency. Since these flow disturbances might promote the vessel wall remodeling process, indications regarding the occurrence of such phenomena are desired.Materials and Methods To quantify unstable hemodynamics, image-based blood flow simulations were carried out in a ruptured aneurysm at the posterior inferior cerebellar artery. Since the exact rupture site could be identified during the angiographic imaging, local flow analysis was feasible. Beside the evaluation of time-varying velocity fluctuations, shear stress distributions and vortex generations were analyzed. Furthermore, the existing spectral flow entropy was assessed using proper orthogonal decomposition. Finally, all simulations were repeated in an unruptured aneurysm at the middle cerebral artery, which was similar with respect to size and shape.Results The high-resolution blood flow simulations reveal the existence of complex flow patterns in combination with high-frequency fluctuations. These predominantly occur after the peak-systolic inflow and maintain in the diastolic phase. Furthermore, the wall shear stress distribution demonstrates a strong oscillatory behavior emphasizing the unstable character of the flow. The calculation of the spectral entropy resulted in a value of 0.76, which was associated with highly disturbed flow in advance. In contrast, these observations are absent in the reference simulation of the unruptured aneurysm. Specifically, stable flow patterns are visible and a low spectral entropy of 0.12 was calculated (a value of 0 represents steady flow conditions).Abstract E-069 Figure 1 Intra-aneurysmal velocity waveform for the ruptured (top) and reference unruptured (bottom) intracranial aneurysm. Notice the high-frequency fluctuations throughout the whole cardiac cycle for the ruptured caseConclusion The presence of high-frequency fluctuations and increased spectral entropy could be a potential biomarker for the discrimination between hemodynamically stable and unstable intracranial aneurysms. Since strong deviations were detectable in aneurysms with similar shape and location, stronger focus on the surrounding vasculature (e.g., with respect to the angle of proximal and distal branches) is suggested.Disclosures D. Behme: None. S. Vo\textbackslashs s: None. J. Korte: None. M. Thormann: None. A. Mpotsaris: None. S. Saalfeld: None. G. Janiga: None. P. Berg: None.
Reference:
Discrimination between stable and unstable intracranial aneurysms using image-based blood flow simulations (Daniel Behme, Samuel Voß, Jana Korte, Maximilian Thormann, Anastasios Mpotsaris, Sylvia Saalfeld, Gabor Janiga, Philipp Berg), In Annual Meeting of the Society of NeuroInterventional Surgery (SNIS), 2021.
Bibtex Entry:
@inproceedings{behme_discrimination_2021,
address = {Colorado Springs, USA},
title = {Discrimination between stable and unstable intracranial aneurysms using image-based blood flow simulations},
abstract = {Introduction/Purpose The discrimination between hemodynamically stable and unstable intracranial aneurysms remains challenging. Recent studies reveal the potential existence of intra-aneurysmal velocity fluctuations, which appear at high frequency. Since these flow disturbances might promote the vessel wall remodeling process, indications regarding the occurrence of such phenomena are desired.Materials and Methods To quantify unstable hemodynamics, image-based blood flow simulations were carried out in a ruptured aneurysm at the posterior inferior cerebellar artery. Since the exact rupture site could be identified during the angiographic imaging, local flow analysis was feasible. Beside the evaluation of time-varying velocity fluctuations, shear stress distributions and vortex generations were analyzed. Furthermore, the existing spectral flow entropy was assessed using proper orthogonal decomposition. Finally, all simulations were repeated in an unruptured aneurysm at the middle cerebral artery, which was similar with respect to size and shape.Results The high-resolution blood flow simulations reveal the existence of complex flow patterns in combination with high-frequency fluctuations. These predominantly occur after the peak-systolic inflow and maintain in the diastolic phase. Furthermore, the wall shear stress distribution demonstrates a strong oscillatory behavior emphasizing the unstable character of the flow. The calculation of the spectral entropy resulted in a value of 0.76, which was associated with highly disturbed flow in advance. In contrast, these observations are absent in the reference simulation of the unruptured aneurysm. Specifically, stable flow patterns are visible and a low spectral entropy of 0.12 was calculated (a value of 0 represents steady flow conditions).Abstract E-069 Figure 1 Intra-aneurysmal velocity waveform for the ruptured (top) and reference unruptured (bottom) intracranial aneurysm. Notice the high-frequency fluctuations throughout the whole cardiac cycle for the ruptured caseConclusion The presence of high-frequency fluctuations and increased spectral entropy could be a potential biomarker for the discrimination between hemodynamically stable and unstable intracranial aneurysms. Since strong deviations were detectable in aneurysms with similar shape and location, stronger focus on the surrounding vasculature (e.g., with respect to the angle of proximal and distal branches) is suggested.Disclosures D. Behme: None. S. Vo{\textbackslash}s s: None. J. Korte: None. M. Thormann: None. A. Mpotsaris: None. S. Saalfeld: None. G. Janiga: None. P. Berg: None.},
booktitle = {Annual {Meeting} of the {Society} of {NeuroInterventional} {Surgery} ({SNIS})},
author = {Behme, Daniel and Voß, Samuel and Korte, Jana and Thormann, Maximilian and Mpotsaris, Anastasios and Saalfeld, Sylvia and Janiga, Gabor and Berg, Philipp},
month = jul,
year = {2021}
}