scholarly journals Simulation of Cerebral Aneurysm Growth and Prediction of Evolving Rupture Risk

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Martin Kroon

Cerebral aneurysms are local expansions of blood vessel walls in the brain blood system. The rupture of an aneurysm is a very severe event associated with a high rate of mortality. When cerebral aneurysms are detected, clinicians need to decide if operation is required. The risk of aneurysm rupture is then compared to the risks associated with the medical intervention. In the present paper, a probabilistic framework for a mechanically based rupture risk assessment of cerebral aneurysms is proposed. The method is based on the assumption that the strength of aneurysmal tissues can be described by a statistical distribution. A structural analysis of the aneurysm in question is performed, and the maximum stress experienced by the aneurysm is compared to the strength distribution. The proposed model was compared with clinical results for ruptured aneurysms in terms of rupture density and accumulated rupture risk as a function of aneurysm size. The model was able to reproduce the clinical results well. The proposed framework may potentially be used underin vivoconditions to predict the risk of rupture for diagnosed aneurysms.

Author(s):  
Juan Cebral ◽  
Fernando Mut ◽  
Christopher Putman

Because the prognosis of subarachnoid hemorrhage due to the rupture of a cerebral aneurysm is very poor, preventive surgery or endovascular interventions are performed on most aneurysms. However, the risk of the interventions can outweigh the natural risk of rupture of unruptured aneurysms. Therefore, it would be highly beneficial if the risk of rupture of cerebral aneurysms could be reliably determined in order to treat only those aneurysms at higher risk. Current assessment of aneurysm rupture risk is based on geometric parameters such as size and aspect ratio. But, it is known that small aneurysms also rupture. Previous studies have suggested the use of computational models to identify hemodynamic characteristics that could be used to better assess the rupture risk of cerebral aneurysms [1]. The current study extends these previous analyses to a larger population sample and quantitative hemodynamic variables.


2005 ◽  
Vol 102 (4) ◽  
pp. 601-606 ◽  
Author(s):  
Akio Morita ◽  
Satoru Fujiwara ◽  
Kazuo Hashi ◽  
Hiroshi Ohtsu ◽  
Takaaki Kirino

Object. Knowing the rate of rupture associated with unruptured cerebral aneurysms (UCAs) can help surgeons determine a case management strategy in patients harboring these lesions. According to large-scale cohort studies involving populations in North America and Europe, small unruptured aneurysms carry a very low risk of rupture. In Japan, however, there have been sporadic reports of higher rates of rupture. To identify the rupture risk associated with UCAs in the Japanese population, the authors systematically reviewed retrospective studies of the natural course of these lesions. Methods. The authors searched Medline and the Japan Medical Abstract Society Index for reports of UCAs in Japan. Two of the authors verified the eligibility of the reports and extracted data independently. Additional information was directly obtained from the authors of the original reports. Thirteen reports covering a total of 3801 patient-years fulfilled the criteria for our study. Subsequent rupture was documented in 104 patients and the annual rupture rate was 2.7% (95% confidence interval 2.2–3.3%). Large, posterior-circulation, and symptomatic aneurysms were associated with significantly higher rates of rupture (relative risks 6.4, 2.3, and 2.1, respectively). The risk of rupture determined by the authors' review was significantly higher than that reported by investigators from international cohort studies. Conclusions. Although a selection bias of patients may be the cause of the higher rupture risk, untreated UCAs that have been followed in Japanese institutions have a considerably high rate of rupture. The natural course of UCAs should be carefully estimated in countries not included in the international studies.


2021 ◽  
Author(s):  
Paolo Missori ◽  
Angela Ambrosone ◽  
Antonio Currà ◽  
Sergio Paolini ◽  
Giorgio Incarbone ◽  
...  

Abstract The relationship between nicotine levels in smokers and brain aneurysm has never been determined. To assess the levels of cotinine in smoker patients with ruptured and unruptured brain aneurysm and the risk of aneurysm rupture we quantified cotinine levels in smoker patients with ruptured or unruptured brain aneurysms. We identified a control group of smokers and nonsmokers without brain aneurysm. Out of 182 participants cerebral aneurysms were statistically significantly associated with smoking (P<0.001) and female sex (P=0.006). Cotinine levels were significantly correlated with both the presence (P=0.009) and the rupture (P=0.002) of brain aneurysms. Compared with nonsmokers, smokers had a 5-fold higher risk of having a brain aneurysm (OR, 5.72; 95% CI, 2.96–11.07; P<0.001). The risk of rupture of brain aneurysms increased by 50% with each cotinine unit and was 4-fold higher with cotinine levels between 4 and 6 (OR, 3.75; 95% CI, 1.48–9.53; P=0.005). With increasing age, the cotinine level decreased (P <0.001, rho= –0.28), declining by 2% with each year of age. In the whole population, the probability of a ruptured aneurysm in patients with cotinine levels between 4 and 6 was higher than in those with levels between 0 and 3 (OR, 5.55; 95% CI, 1.08–28.5; P=0.040). Our results suggest that high cotinine levels in smokers with brain aneurysm, rather than size, are significantly associated with high rupture risk. Cotinine levels decrease with age, possibly reducing the risk of formation and rupture of a brain aneurysm.


2019 ◽  
Vol 47 (1) ◽  
pp. E20 ◽  
Author(s):  
John W. Thompson ◽  
Omar Elwardany ◽  
David J. McCarthy ◽  
Dallas L. Sheinberg ◽  
Carlos M. Alvarez ◽  
...  

Cerebral aneurysm rupture is a devastating event resulting in subarachnoid hemorrhage and is associated with significant morbidity and death. Up to 50% of individuals do not survive aneurysm rupture, with the majority of survivors suffering some degree of neurological deficit. Therefore, prior to aneurysm rupture, a large number of diagnosed patients are treated either microsurgically via clipping or endovascularly to prevent aneurysm filling. With the advancement of endovascular surgical techniques and devices, endovascular treatment of cerebral aneurysms is becoming the first-line therapy at many hospitals. Despite this fact, a large number of endovascularly treated patients will have aneurysm recanalization and progression and will require retreatment. The lack of approved pharmacological interventions for cerebral aneurysms and the need for retreatment have led to a growing interest in understanding the molecular, cellular, and physiological determinants of cerebral aneurysm pathogenesis, maturation, and rupture. To this end, the use of animal cerebral aneurysm models has contributed significantly to our current understanding of cerebral aneurysm biology and to the development of and training in endovascular devices. This review summarizes the small and large animal models of cerebral aneurysm that are being used to explore the pathophysiology of cerebral aneurysms, as well as the development of novel endovascular devices for aneurysm treatment.


Stroke ◽  
2015 ◽  
Vol 46 (5) ◽  
pp. 1221-1226 ◽  
Author(s):  
Daan Backes ◽  
Mervyn D.I. Vergouwen ◽  
Andreas T. Tiel Groenestege ◽  
A. Stijntje E. Bor ◽  
Birgitta K. Velthuis ◽  
...  

Background and Purpose— Growth of an intracranial aneurysm occurs in around 10% of patients at 2-year follow-up imaging and may be associated with aneurysm rupture. We investigated whether PHASES, a score providing absolute risks of aneurysm rupture based on 6 easily retrievable risk factors, also predicts aneurysm growth. Methods— In a multicenter cohort of patients with unruptured intracranial aneurysms and follow-up imaging with computed tomography angiography or magnetic resonance angiography, we performed univariable and multivariable Cox regression analyses for the predictors of the PHASES score at baseline, with aneurysm growth as outcome. We calculated hazard ratios and corresponding 95% confidence intervals (CI), with the PHASES score as continuous variable and after division into quartiles. Results— We included 557 patients with 734 unruptured aneurysms. Eighty-nine (12%) aneurysms in 87 patients showed growth during a median follow-up of 2.7 patient-years (range 0.5–10.8). Per point increase in PHASES score, hazard ratio for aneurysm growth was 1.32 (95% CI, 1.22–1.43). With the lowest quartile of the PHASES score (0–1) as reference, hazard ratios were for the second (PHASES 2–3) 1.07 (95% CI, 0.49–2.32), the third (PHASES 4) 2.29 (95% CI, 1.05–4.95), and the fourth quartile (PHASES 5–14) 2.85 (95% CI, 1.43–5.67). Conclusions— Higher PHASES scores were associated with an increased risk of aneurysm growth. Because higher PHASES scores also predict aneurysm rupture, our findings suggest that aneurysm growth can be used as surrogate outcome measure of aneurysm rupture in follow-up studies on risk prediction or interventions aimed to reduce the risk of rupture.


Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012885
Author(s):  
Charlotte CM Zuurbier ◽  
Liselore A Mensing ◽  
Marieke JH Wermer ◽  
Seppo Juvela ◽  
Antti E Lindgren ◽  
...  

Objective:We combined individual patient data (IPD) from prospective cohorts of patients with unruptured intracranial aneurysms (UIA) to assess to what extent patients with familial UIA have a higher rupture risk than those with sporadic UIA.Methods:For this IPD meta-analysis we performed an Embase and Pubmed search for studies published up to December 1, 2020. We included studies that 1) had a prospective study design; 2) included 50 or more patients with UIA; 3) studied the natural course of UIA and risk factors for aneurysm rupture including family history for aneurysmal subarachnoid haemorrhage and UIA; and 4) had aneurysm rupture as an outcome. Cohorts with available IPD were included. All studies included patients with newly diagnosed UIA visiting one of the study centers. The primary outcome was aneurysmal rupture. Patients with polycystic kidney disease and moyamoya disease were excluded. We compared rupture rates of familial versus sporadic UIA using a Cox proportional hazard regression model adjusted for the PHASES score and smoking. We performed two analyses: 1. only studies defining first-degree relatives as parents, children, and siblings and 2. all studies, including those in which first-degree relatives are defined as only parents and children, but not siblings.Results:We pooled IPD from eight cohorts with a low and moderate risk of bias. First-degree relatives were defined as parents, siblings and children in six cohorts (29% Dutch, 55% Finnish, 15% Japanese), totalling 2,297 patients (17% familial, 399 patients) with 3,089 UIA and 7,301 person-years follow-up. Rupture occurred in 10 familial patients (rupture rate: 0·89%/person-year; 95% CI:0·45-1·59) and 41 sporadic patients (0·66%/person-year; 95% CI:0·48-0·89); adjusted HR for familial patients 2·56 (95% CI: 1·18–5·56). After adding also the two cohorts excluding siblings as first-degree relatives resulting in 9,511 patients the adjusted HR was 1·44 (95% CI: 0·86–2·40).Conclusion:The risk of rupture of UIA is two and a half times higher, with a range from a 1.2 to 5 times higher risk, in familial than in sporadic UIA. When assessing the risk of rupture in UIA, family history should be taken into account.


2021 ◽  
Vol 12 ◽  
Author(s):  
Žiga Bizjak ◽  
Franjo Pernuš ◽  
Žiga Špiclin

Introduction: Intracranial aneurysms (IAs) are a common vascular pathology and are associated with a risk of rupture, which is often fatal. Aneurysm growth is considered a surrogate of rupture risk; therefore, the study aimed to develop and evaluate prediction models of future artificial intelligence (AI) growth based on baseline aneurysm morphology as a computer-aided treatment decision support.Materials and methods: Follow-up CT angiography (CTA) and magnetic resonance angiography (MRA) angiograms of 39 patients with 44 IAs were classified by an expert as growing and stable (25/19). From the angiograms vascular surface meshes were extracted and the aneurysm shape was characterized by established morphologic features and novel deep shape features. The features corresponding to the baseline aneurysms were used to predict future aneurysm growth using univariate thresholding, multivariate random forest and multi-layer perceptron (MLP) learning, and deep shape learning based on the PointNet++ model.Results: The proposed deep shape feature learning method achieved an accuracy of 0.82 (sensitivity = 0.96, specificity = 0.63), while the multivariate learning and univariate thresholding methods were inferior with an accuracy of up to 0.68 and 0.63, respectively.Conclusion: High-performing classification of future growing IAs renders the proposed deep shape features learning approach as the key enabling tool to manage rupture risk in the “no treatment” paradigm of patient follow-up imaging.


2019 ◽  
Vol 47 (1) ◽  
pp. E12 ◽  
Author(s):  
Yuichi Murayama ◽  
Soichiro Fujimura ◽  
Tomoaki Suzuki ◽  
Hiroyuki Takao

OBJECTIVEThe authors reviewed the clinical role of computational fluid dynamics (CFD) in assessing the risk of intracranial aneurysm rupture.METHODSA literature review was performed to identify reports on CFD assessment of aneurysms using PubMed. The usefulness of various hemodynamic parameters, such as wall shear stress (WSS) and the Oscillatory Shear Index (OSI), and their role in aneurysm rupture risk analysis, were analyzed.RESULTSThe authors identified a total of 258 published articles evaluating rupture risk, growth, and endovascular device assessment. Of these 258 articles, 113 matching for CFD and hemodynamic parameters that contribute to the risk of rupture (such as WSS and OSI) were identified. However, due to a lack of standardized methodology, controversy remains on each parameter’s role.CONCLUSIONSAlthough controversy continues to exist on which risk factors contribute to predict aneurysm rupture, CFD can provide additional parameters to assess this rupture risk. This technology can contribute to clinical decision-making or evaluation of efficacy for endovascular methods and devices.


Author(s):  
Yuma Yamanaka ◽  
Hiroyuki Takao ◽  
Soichiro Fujimura ◽  
Yuya Uchiyama ◽  
Shota Sunami ◽  
...  

Introduction : Morphological and hemodynamic characteristics have been reported to be involved in the rupture of cerebral aneurysms. Therefore, geometrical measurements of cerebral aneurysms and blood flow analysis using computational fluid dynamics (CFD) have been conducted. Some previous studies investigated the rupture risk factors from cerebral arterial geometries that were taken before the rupture (pre‐rupture), and the others used geometries taken after the rupture (post‐rupture). However, aneurysm rupture may alter arterial geometries and CFD simulation results. The aim of this study is to evaluate the morphological and hemodynamic alternations due to cerebral aneurysm rupture. Methods : We identified 21 cerebral aneurysms (ICA: 9, MCA: 3, ACA: 4, BA: 3, VA: 2) which had ruptured during the follow‐up terms. Each case had at longest two‐years term between the rupture date and the latest angiographic date before the aneurysm rupture (pre‐rupture). The post‐rupture arterial geometries were acquired preoperatively for subarachnoid hemorrhage. We used the arterial geometries reconstructed from computed tomography angiography or digital subtraction angiography images for conducting morphological measurements and CFD simulations. We performed transient blood flow simulations for two heart pulse cycles in the CFD simulations. We obtained five morphological parameters and 24 hemodynamic parameters considered as the rupture risk factors. Finally, we conducted Wilcoxon’s signed‐rank sum test between the parameters obtained from pre‐ and post‐rupture aneurysms to specify altered parameters due to the aneurysm rupture. We also calculated the change rate (CR) based on the value in pre‐rupture for parameters that had a statistical significance to investigate the alternation in detail. Results : The aneurysmal volume ( V ), height ( H ), aspect ratio ( AR ), and spatial averaged, maximum, and minimum wall shear stress of the aneurysm dome normalized by the spatially averaged wall shear stress of the parent vessel ( NWSSave , NWSSmax , and NWSSmin ) were significantly altered between pre‐ and post‐rupture. In particular, the morphological parameters increased after the rupture (average CR of V , H , and AR were 25.8 %, 13.4 %, and 15.9 %, respectively). These results indicate that the aneurysm shapes tended to increase lengthwise after the rupture. On the other hand, the NWSS tended to decrease (average CR of NWSSave , NWSSmax , and NWSSmin  were ‐21.0 %, ‐13.7 %, and ‐22.7 %, respectively). These results imply that the aneurysm rupture altered the aneurysm to a more complicated shape, and thereby the blood flow became stagnated that introduced lower WSS . In contrast, there were some cases in which NWSS increased, and these cases had vasospasm at their parent arteries caused by the rupture (i.e., 5 of 21 cases had vasospasm, and the average CR of NWSSave was 14.1 %). The parent vessel proximal to the aneurysm was shrunk due to the vasospasm, resulting in increased flow velocity and thus increased NWSS . Conclusions : The cerebral aneurysm rupture deformed the aneurysms into longitudinal and led to increased volumes. The NWSSs in CFD simulations using post‐rupture geometries tended to decrease in comparison with pre‐rupture. When studying rupture factors of cerebral aneurysms using geometrical measurements and CFD simulations, special attention should be paid to the clinical image and rupture characteristics standardization criteria.


Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Yuichi Murayama ◽  
Toshihiro Ishibashi ◽  
Hiroyuki Takao ◽  
Ichiro Yuki ◽  
Hideki Arakawa ◽  
...  

Introduction: Risk of growth and rupture in unruptured intracranial saccular aneurysm (UIA) are still unclear. Hypothesis: Gowth and risk of UIA may be correlated and they were evaluated our single center large cohort. Methods: Between January 2003 and March 2011, a total of 2122 patients with 2756 UIA were referred to our institution. 1403 patients with 2037 UIAs were assigned for conservative management. The mean follow up duration was 6201 aneurysm-years. Bi-annual three-dimensional computed tomography angiography (3D CTA) was performed and aneurysm growth was evaluated using 3D workstation. The aneurysm growth was defined as size increase more than 1mm. Results: During observation, 14.6% aneurysms increased their size. Female and male growth rate were 16% and 11% respectively. 130 patients stopped observation and therapeutic intervention was performed due to increase their size or anxiety. During observation 50 UIAs ruptured resulting in a 0.8% rupture rate per year. Aneurysm growth, IC-pcom aneurysms, posterior circulation, female, and SAH associated multiple aneurysms were risk factor for aneurysm rupture. Growing aneurysm was 10 times higher relative risk of rupture compare to stable aneurysm. No aneurysm demonstrated reduction of their size after rupture. Conclusions: Risk of Aneurysm growth and rupture may be correlated. Risk of rupture of UIAs was similar that was reported before but even small aneurysms can be rupture during observation. Growing UIAs should be considered to treat as soon as possible even in small size.


Sign in / Sign up

Export Citation Format

Share Document