Explore the vast range of titles available.

BackgroundAlthough it is generally believed that blebs represent weaker spots in the walls of intracranial aneurysms (IAs), it is largely unknown which aneurysm characteristics favor their development.ObjectiveTo investigate possible associations between aneurysm hemodynamic and geometric characteristics and the development of blebs in intracranial aneurysms.MethodsA total of 270 IAs in 199 patients selected for surgical clipping were studied. Blebs were visually identified and interactively marked on patient-specific vascular models constructed from presurgical images. Blebs were then deleted from the vascular reconstruction to approximate the aneurysm before bleb formation. Computational fluid dynamics studies were performed in these models and in cases without blebs. Hemodynamic and geometric characteristics of aneurysms with and without blebs were compared.ResultsA total of 173 aneurysms had no blebs, while 97 aneurysms had a total of 122 blebs. Aneurysms favoring bleb formation had stronger (p<0.0001) and more concentrated inflow jets (p<0.0001), higher flow velocity (p=0.0061), more complex (p<0.0001) and unstable (p=0.0157) flow patterns, larger maximum wall shear stress (WSS; p<0.0001), more concentrated (p=0.0005) and oscillatory (p=0.0004) WSS distribution, and a more heterogeneous WSS field (p<0.0001), than aneurysms without blebs. They were also larger (p<0.0001), more elongated (p<0.0001), had wider necks (p=0.0002), and more distorted and irregular shapes (p<0.0001).ConclusionsStrong and concentrated inflow jets, high-speed, complex, and unstable flow patterns, and concentrated, oscillatory, and heterogeneous WSS patterns favor the formation of blebs in IAs. Blebs are more likely to form in large, elongated, and irregularly shaped aneurysms. These adverse characteristics could be considered signs of aneurysm instability when evaluating aneurysms for conservative observation or treatment.

BackgroundBlebs are important secondary structures of intracranial aneurysms associated with increased rupture risk and can affect local wall stress and hemodynamics. Mechanisms of bleb development and evolution are not clearly understood. We investigate the relationship between blebs with different wall characteristics and local hemodynamics and rupture sites.MethodsBlebs with different wall appearances in intra-operative videos were analyzed with image-based computational fluid dynamics. Thin red blebs were compared against thick atherosclerotic/hyperplastic white/yellow blebs. Rupture points were identified in videos of ruptured aneurysms harboring blebs.ResultsThin blebs tended to be closer to the inflow than atherosclerotic blebs of the same aneurysm (P=0.0234). Blebs near the inflow had higher velocity (P=0.0213), vorticity (P=0.0057), shear strain rate (P=0.0084), wall shear stress (WSS) (P=0.0085), and WSS gradient (P=0.0151) than blebs far from the inflow. In a subset of 12 ruptured aneurysms harboring blebs, rupture points were associated with thin blebs in 42% of aneurysms, atherosclerotic blebs in 25%, and were away from blebs in the remaining 33%.ConclusionsNot all blebs are equal; some have thin translucent walls while others have thick atherosclerotic walls. Thin blebs tend to be located closer to the inflow than atherosclerotic blebs. Blebs near the inflow are exposed to stronger flows with higher and spatially variable WSS than blebs far from the inflow which tend to have uniformly lower WSS. Aneurysms can rupture at thin blebs, atherosclerotic blebs, and even away from blebs. Further study of wall failure in aneurysms with different bleb types is needed.

BackgroundBlebs are rupture risk factors in intracranial aneurysms (IAs), but their prevalence, distribution, and associations with clinical factors as well as their causes and effects on aneurysm vulnerability remain unclear.MethodsA total of 122 blebs in 270 IAs selected for surgery were studied using patient-specific vascular reconstructions from 3D angiographic images. Bleb geometry, location on the aneurysm, and frequency of occurrence in aneurysms at different locations were analyzed. Associations between gender, age, smoking, hypertension, hormone therapy, dental infection, and presence of blebs were investigated.ResultsOf all aneurysms with blebs, 77% had a single bleb and 23% had multiple blebs. Only 6% of blebs were at the neck, while 46% were in the body and 48% in the dome. Aneurysms with blebs were larger (p<0.0001), more elongated (p=0.0002), and with wider necks than aneurysms without blebs. Bleb presence was associated with dental infection (p=0.0426) and negatively associated with hormone therapy (p=0.0426) in women. Anterior and posterior communicating arteries had larger percentages of aneurysms with blebs than internal carotid arteries. Patients with a history of hypertension tended to have a larger percentage of aneurysms with blebs. However, these trends did not reach significance in this sample.ConclusionsBlebs are common in IAs, and most aneurysms harboring blebs have a single bleb. Blebs in the aneurysm neck are rare, but they are equally common in the body and dome. The presence of blebs in IAs was associated with dental infection, and negatively associated with hormone replacement therapy.

BackgroundBleb presence in intracranial aneurysms (IAs) is a known indication of instability and vulnerability.ObjectiveTo develop and evaluate predictive models of bleb development in IAs based on hemodynamics, geometry, anatomical location, and patient population.MethodsCross-sectional data (one time point) of 2395 IAs were used for training bleb formation models using machine learning (random forest, support vector machine, logistic regression, k-nearest neighbor, and bagging). Aneurysm hemodynamics and geometry were characterized using image-based computational fluid dynamics. A separate dataset with 266 aneurysms was used for model evaluation. Model performance was quantified by the area under the receiving operating characteristic curve (AUC), true positive rate (TPR), false positive rate (FPR), precision, and balanced accuracy.ResultsThe final model retained 18 variables, including hemodynamic, geometrical, location, multiplicity, and morphology parameters, and patient population. Generally, strong and concentrated inflow jets, high speed, complex and unstable flow patterns, and concentrated, oscillatory, and heterogeneous wall shear stress patterns together with larger, more elongated, and more distorted shapes were associated with bleb formation. The best performance on the validation set was achieved by the random forest model (AUC=0.82, TPR=91%, FPR=36%, misclassification error=27%).ConclusionsBased on the premise that aneurysm characteristics prior to bleb formation resemble those derived from vascular reconstructions with their blebs virtually removed, machine learning models can identify aneurysms prone to bleb development with good accuracy. Pending further validation with longitudinal data, these models may prove valuable for assessing the propensity of IAs to progress to vulnerable states and potentially rupturing.

Cerebral aneurysms are a common pathological condition of cerebral arteries, affecting about 2-5% of the general population. Most aneurysms develop asymptomatically, however, the rare rupture of an aneurysm leads to subarachnoid hemorrhage, which is a type of stroke and potentially a life-threatening event. Besides, available surgical interventions have their own risks and complications, which usually outweigh the natural aneurysm rupture risk. Therefore, patient-specific assessment is required when evaluating aneurysm rupture risk, to only select high-risk aneurysms for immediate treatment and prevent the unnecessary complications for low-risk aneurysms. Although the mechanisms responsible for an aneurysm’s growth and rupture are poorly understood, hemodynamics is thought to be a substantial factor in the progression of the disease.This dissertation aimed to use patient-specific image-based computational fluid dynamics (CFD) simulations of (cross-sectional) data of large patient cohorts with more than 2,700 aneurysms to investigate the aneurysm progression mechanism, improve the rupture risk assessment methods, and management of patients with aneurysms.Towards the defined objectives, first, based on two synthetic sequences representing the enlargement of cerebral aneurysms, the effect of neck enlargement during these processes was investigated and it was found that the evolution of the hemodynamic environment of aneurysms with growing and fixed necks can be substantially different. While blebs have been identified as a strong risk factor for aneurysm rupture, little is known about their structure. Motivated by this fact, in a series of studies, clinical, morphological, and flow conditions associated with bleb formation on aneurysms were investigated. It was found that blebs are common in aneurysms and their presence is associated with dental infection. Strong and complex flow conditions favor the formation of blebs in aneurysms. Also, blebs are more likely to form in large and irregularly shaped aneurysms. Besides, not all blebs are equal; some have thin walls while others have thick atherosclerotic walls. Thin blebs are exposed to high flow conditions and thick blebs are associated with low flow conditions. Motivated by these findings, predictive models of bleb formation in aneurysms were developed and validated, which achieved a good predictive performance. Finally, patient and aneurysm characteristics associated with rupture of the subpopulation of small (<7mm) and regularly shaped (without blebs) aneurysms were studied and a prediction model was built to identify small regularly shaped aneurysms prone to imminent rupture, which achieved a good predictive performance.Overall, understanding the aneurysm progression and rupture mechanisms, identifying the flow conditions associated with the formation of blebs in aneurysms, and understanding and predicting the factors that predispose small and regularly shaped aneurysms to rupture are all critical knowledge for improved patient management and therapeutic decision-making in order to differentiate the stable and unstable aneurysms during the pre-intervention process and establish new non-invasive treatments.