Impact of Intracranial Aneurysm Morphology and Rupture Status on the Particle Residence Time

Leemans, Eva L.; Cornelissen, Bart; Rosalini, G.; Verbaan, Dagmar; Schneiders, J.J.; Berg, René van den; Vandertop, W. Peter; VanBavel, Ed; Slump, Cornelis H.; Majoie, Charles B. L. M.; Marquering, Henk A.

doi:10.1111/jon.12618

Cited by 7 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, there is no clear consensus on the values of the trigger thresholds, and published works studying ST hemodynamic thresholds often have small sample sizes. Based on CFD simulations conducted on 113 aneurysms—where particles injected into the parent vessel were tracked over multiple cardiac cycles—Leemans et al 32 found that the particle RT for four out of five partially thrombosed aneurysms had a long RT (>1.9 s). While thrombus formation has been reported to initiate as early as RT = 1 s, 18 Marsh et al 33 found in their experiments that a threshold of RT ≥ 1 s was ineffective as multiple patients in their cohort demonstrated a median RT >1 s in the aneurysm, even before treatment.…”

Section: Discussionmentioning

confidence: 99%

Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study

et al. 2023

View full text Add to dashboard Cite

How prevalent is spontaneous thrombosis in a population containing all sizes of intracranial aneurysms? How can we calibrate computational models of thrombosis based on published data? How does spontaneous thrombosis differ in normo- and hypertensive subjects? We address the first question through a thorough analysis of published datasets that provide spontaneous thrombosis rates across different aneurysm characteristics. This analysis provides data for a subgroup of the general population of aneurysms, namely, those of large and giant size (>10 mm). Based on these observed spontaneous thrombosis rates, our computational modeling platform enables the first in silico observational study of spontaneous thrombosis prevalence across a broader set of aneurysm phenotypes. We generate 109 virtual patients and use a novel approach to calibrate two trigger thresholds: residence time and shear rate, thus addressing the second question. We then address the third question by utilizing this calibrated model to provide new insight into the effects of hypertension on spontaneous thrombosis. We demonstrate how a mechanistic thrombosis model calibrated on an intracranial aneurysm cohort can help estimate spontaneous thrombosis prevalence in a broader aneurysm population. This study is enabled through a fully automatic multi-scale modeling pipeline. We use the clinical spontaneous thrombosis data as an indirect population-level validation of a complex computational modeling framework. Furthermore, our framework allows exploration of the influence of hypertension in spontaneous thrombosis. This lays the foundation for in silico clinical trials of cerebrovascular devices in high-risk populations, e.g., assessing the performance of flow diverters in aneurysms for hypertensive patients.

show abstract

Section: Discussionmentioning

confidence: 99%

Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study

et al. 2023

View full text Add to dashboard Cite

show abstract

“…However, there is no clear consensus on the values of the trigger thresholds and published works studying ST hemodynamic thresholds often have small sample sizes. Based on CFD simulations conducted on 113 aneurysms-where particles injected into the parent vessel were tracked over multiple cardiac cycles-Leemans et al 21 found that the particle residence time for four out of five partially thrombosed aneurysms had a long residence time (>1.9 s). While thrombus formation has been reported to initiate as early as RT = 1 s 13 , Marsh et al 23 found in their experiments that a threshold of RT ≥ 1 s was ineffective as multiple patients in their cohort demonstrated a median RT >1 s in the aneurysm, even before treatment.…”

Section: Discussionmentioning

confidence: 99%

Hemodynamics of thrombus formation in intracranial aneurysms: an in-silico observational study

Liu

Sarrami‐Foroushani

Wang

et al. 2022

Preprint

View full text Add to dashboard Cite

How prevalent is spontaneous thrombosis (ST) in intracranial aneurysms (IAs) for an all-size pop- ulation? How can we calibrate computational models of thrombosis based on published data from size-specific aneurysms cohorts? How does ST differ in normo- and hypertensive subjects? We ad- dress the first question by a thorough analysis of published that provide ST rates across different patient demographics and aneurysm characteristics. This analysis provides data for a subgroup of the gen- eral population, viz. large and giant aneurysms (>10 mm). Based on these observed ST rates, our novel computational modelling platform enables the first in-silico observational study of ST prevalence across a broader set of IA phenotypes. We generate 109 virtual patients and use a novel approach to calibrate two trigger thresholds: residence time (RT) and shear rate (SR), thus addressing the second question. We then address the third question by utilising this calibrated thrombosis model to provide new insights on the effects of hypertension on ST. We demonstrate how a mechanistic ST model calibrated on a reduced IA cohort can help esti- mate ST prevalence in a broader IA population. This study was enabled through a comprehensive and fully automatic multi-scale modeling pipeline. We use an emerging property, viz. ST, as an indirect population-level validation of a complex computational modeling framework. Furthermore, our frame- work allows exploration of the influence of hypertension in ST. This lays the foundation for in-silico clinical trials of cerebrovascular devices in high-risk populations, e.g. assessing the performance of flow diverters in cerebral aneurysms for hypertensive patients.

show abstract

“…Particle residence times (PRT) were calculated by Leemans et al [19] and were correlated with morphology and the ruptured state of IAs. While morphology has an important effect on PRT, correlation with the ruptured state is insignificant.…”

Section: Introductionmentioning

confidence: 99%

Investigating Particle Paths in Intracranial Aneurysms: A Parametric Study

Gyürki,

Paál

2023

Period. Polytech. Mech. Eng.

View full text Add to dashboard Cite

A large part of computational fluid dynamics (CFD) studies in hemodynamics concentrates on the berry-like bulgings on cerebral vessel walls, called intracranial aneurysms (IA). One technique is the calculation of particle paths, which can help understand important physiological processes like thrombus formation or drug propagation. The problem is that the particle paths can display chaotic nature even in simple flows, thus, investigating the effects of parameters on the particle paths is essential. The method used in this study consists of four steps. The first step is to voxelize the observed domain into a uniform voxel grid, the second step is to simulate the velocity flow field using the lattice-Boltzmann method, then to calculate one million particle paths using a fourth-order Runge-Kutta integrator. Lastly, the final step is the calculation of the relative perimeter, relative area and their ratio (P/A ratio) for each outlet when the particle release plane is colored according to the outlets the particles took. Five patient-specific cases were investigated. After a voxel size and integrator time step dependence study, the effect of the presence of the aneurysm sack and the particle release time within the heart cycle were assessed. Based on five geometries, the presence of the aneurysm sac increases the P/A ratio (which is a direct link to the chaotic nature of the particle paths), and when the particles are released near the peak and the decelerating phase of the heart cycle, the P/A ratio also significantly increases.

show abstract

Impact of Intracranial Aneurysm Morphology and Rupture Status on the Particle Residence Time

Cited by 7 publications

References 30 publications

Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study

Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study

Hemodynamics of thrombus formation in intracranial aneurysms: an in-silico observational study

Investigating Particle Paths in Intracranial Aneurysms: A Parametric Study

Contact Info

Product

Resources

About