Cerebral Aneurysm Rupture Research Articles

A Review of Hemodynamic Parameters in Cerebral Aneurysm

Abstract—A cerebral aneurysm is a localized dilation that weakens the wall of a blood vessel in the brain. This condition comes in the form of abnormal widening, ballooning or in the form of a bleb. Gaining an understanding of the initiation, growth, and rupture of cerebral aneurysm has played a critical role in finding treatments that prevent the possibility of mortality and morbidity. Cerebral aneurysm develops as a result of the thinning of artery wall, and it is often difficult to diagnose prior to its rupture that leads to several fatal diseases, including brain damage, hemorrhagic stroke, behavioral inconsistency, and eye movement disturbance. A computational fluid dynamic study of cerebral aneurysm employs blood flow simulation wherein hemodynamic parameters indicate the rupture status of a vessel. These hemodynamic parameters actually trigger the biological factors of blood flow in the brain vessels with aneurysm. This paper offers a review of these hemodynamic parameters, and it elucidates the correlation of these parameters with cerebral aneurysm. Specifically, this review highlights the hemodynamic parameters that are related to the formation, growth, and morphological features, namely, size and shape, of cerebral aneurysm Keywords—Cerebral aneurysm, Hemodynamics, Wall shear stress, rupture risk, ansys

Effects of paroxetine, a P2X4 inhibitor, on cerebral aneurysm growth and recanalization after coil embolization: the NHO Drug for Aneurysm Study.

Rupture of cerebral aneurysms has a poor prognosis, and growing aneurysms are prone to rupture. Although the number of coil embolization procedures is increasing worldwide, they are more prone to recurrence than clipping surgeries. However, there is still no drug that prevents aneurysm growth or recanalization after coil embolization. The authors have previously focused on the role of hemodynamics in cerebral aneurysm development and reported that inhibition of the P2X4 purinoceptor, by which vascular endothelial cells sense blood flow, reduced the induction and growth of aneurysms in an animal model. In this study, the authors investigated the effects of paroxetine, a P2X4 inhibitor also used as an antidepressant, on aneurysm growth and recanalization after endovascular coiling. Using the J-ASPECT Study registry, the largest comprehensive reimbursement database system for acute stroke inpatient care in Japan, the authors searched for patients incidentally taking paroxetine who were registered in the decade 2010-2019 with an unruptured cerebral aneurysm or who underwent aneurysm coiling. They calculated the growth incidence and growth rate by the person-year method and the odds ratio for recanalization within 1 year after coiling and statistically compared to controls. Seventy-eight stroke facilities participated, and 275 patients were identified as potentially eligible. Thirty-seven patients with unruptured aneurysms and 38 after coil embolization met all eligibility criteria. They were compared with 396 control cases of unruptured aneurysms and 308 coil-placement controls. Multivariate analysis showed that paroxetine significantly reduced the incidence of aneurysm growth (number of cases with growth/person/year; incidence rate ratio [IRR] 0.24, 95% CI 0.05-0.66; p = 0.003) and the growth rate (total increase in maximum diameter in millimeters/person/year; IRR 0.57, 95% CI 0.28-0.98; p = 0.04). Paroxetine also significantly reduced the odds of recanalization in the year after coiling (OR 0.21, 95% CI 0.05-0.95; p = 0.04). The authors then performed propensity score matching to reduce bias due to imbalances in patient characteristics between the two groups; the outcome confirmed that paroxetine significantly reduced aneurysm growth incidence (IRR 0.02, 95% CI 0.008-0.05; p < 0.0001) and growth rate (IRR 0.03, 95% CI 0.01-0.06; p < 0.0001) and the 1-year recanalization (OR 0.18, 95% CI 0.03-0.99; p = 0.04). This observational cohort study suggests that P2X4 inhibitors such as paroxetine may be clinically applicable as prophylaxis against aneurysm rupture and postoperative recanalization.

Association of Gut and Oral Microbiota with Cerebral Aneurysms

In recent years, the association of the microbiome with various diseases has been reported. The oral and gut microbiomes have been linked to cerebral aneurysms and are involved in the systemic inflammatory response, which is mediated mainly via the immune system. Chronic inflammation plays an important role in the pathogenesis and rupture of cerebral aneurysms, and the microbiome is potentially involved in this process. Moreover, the gut microbiome is involved in acute brain injury following subarachnoid hemorrhage. Thus, further studies on microbiome-targeted treatments for cerebral aneurysm are required.

A multiscale discrete fiber model of failure in heterogeneous tissues: Applications to remodeled cerebral aneurysms

Damage-accumulation failure models are broadly used to examine tissue property changes caused by mechanical loading. However, damage accumulation models are purely phenomenological. The underlying justification in using this type of model is often that damage occurs to the extracellular fibers and/or cells which changes the fundamental mechanical behavior of the system. In this work, we seek to align damage accumulation models with microstructural models to predict alterations in the mechanical behavior of biological materials that arise from structural heterogeneity associated with nonuniform remodeling of tissues. Further, we seek to extend this multiscale model toward assessing catastrophic failure events such as cerebral aneurysm rupture. First, we demonstrate that a model made up of linear elastin and actin and nonlinear collagen fibers can replicate bot the pre-failure and failure tissue-scale mechanics of uniaxially-stretched cerebral aneurysms. Next, we investigate how mechanical heterogeneities, like those observed in cerebral aneurysms, influence fiber and tissue failure. Notably, we find that failure occurs and the interface between regions of high and low material stiffness, suggesting that spatial mechanical heterogeneity influences aneurysm failure behavior. This model system is a step toward linking structural changes in growth and remodeling to failure properties.

PRCP is a promising drug target for intracranial aneurysm rupture supported via multi-omics analysis

BackgroundCerebral aneurysms are life-threatening cerebrovascular disorders. Currently, there are no effective treatments for preventing disease progression. Mendelian randomisation (MR) is widely used to repurify licensed drugs and identify new therapeutic...

Advancing aneurysm management: the potential of AI and machine learning in enhancing safety and predictive accuracy.

Cerebral aneurysm rupture, the predominant cause of non-traumatic subarachnoid hemorrhage, underscores the need for effective treatment and early detection methods. A study in Neurosurgical Review compared microsurgical clipping to endovascular therapy in 130 patients with middle cerebral artery (MCA) aneurysms, finding significantly fewer serious adverse events (SAEs) and neurological complications in the endovascular group. This suggests endovascular therapy's superiority in safety and reducing complications for MCA aneurysm patients. Furthermore, a systematic review and meta-analysis assessed the diagnostic accuracy of AI algorithms in detecting cerebral aneurysms, revealing a high sensitivity but notable false-positive rates, indicating AI's potential while highlighting the need for further validation. Machine learning algorithms also showed promise in predicting cerebral aneurysm rupture risk, demonstrating reasonable sensitivity and specificity. Additionally, AI-based radiomics models are advancing rapidly, offering enhanced predictive accuracy and personalized treatment planning by analyzing imaging data to identify features indicative of aneurysm conditions. Collectively, these findings emphasize the advantages of endovascular therapy for MCA aneurysms and the emerging role of AI and machine learning in improving early detection and personalized management of cerebral aneurysms.

A comprehensive investigation of morphological features responsible for cerebral aneurysm rupture using machine learning

Cerebral aneurysms are a silent yet prevalent condition that affects a significant global population. Their development can be attributed to various factors, presentations, and treatment approaches. The importance of selecting the appropriate treatment becomes evident upon diagnosis, as the severity of the disease guides the course of action. Cerebral aneurysms are particularly vulnerable in the circle of Willis and pose a significant concern due to the potential for rupture, which can lead to irreversible consequences, including fatality. The primary objective of this study is to predict the rupture status of cerebral aneurysms. To achieve this, we leverage a comprehensive dataset that incorporates clinical and morphological data extracted from 3D real geometries of previous patients. The aim of this research is to provide valuable insights that can help make informed decisions during the treatment process and potentially save the lives of future patients. Diagnosing and predicting aneurysm rupture based solely on brain scans is a significant challenge with limited reliability, even for experienced physicians. However, by employing statistical methods and machine learning techniques, we can assist physicians in making more confident predictions regarding rupture likelihood and selecting appropriate treatment strategies. To achieve this, we used 5 classification machine learning algorithms and trained them on a substantial database comprising 708 cerebral aneurysms. The dataset comprised 3 clinical features and 35 morphological parameters, including 8 novel morphological features introduced for the first time in this study. Our models demonstrated exceptional performance in predicting cerebral aneurysm rupture, with accuracy ranging from 0.76 to 0.82 and precision score from 0.79 to 0.83 for the test dataset. As the data are sensitive and the condition is critical, recall is prioritized as the more crucial parameter over accuracy and precision, and our models achieved outstanding recall score ranging from 0.85 to 0.92. Overall, the best model was Support Vector Machin with an accuracy and precision of 0.82, recall of 0.92 for the testing dataset and the area under curve of 0.84. The ellipticity index, size ratio, and shape irregularity are pivotal features in predicting aneurysm rupture, respectively, contributing significantly to our understanding of this complex condition. Among the multitude of parameters under investigation, these are particularly important. In this study, the ideal roundness parameter was introduced as a novel consideration and ranked fifth among all 38 parameters. Neck circumference and outlet numbers from the new parameters were also deemed significant contributors.

Risk factors of cerebral aneurysms rupture in an Indonesian population

ABSTRACT Background The demographic, clinical, and angiographic features of ruptured aneurysms compared to unruptured cerebral aneurysms in Indonesia are still limited. This study aims to determine risk factors for rupture according to clinical patterns and morphological features in the Indonesian population. Method We retrospectively reviewed all cerebral aneurysm registries at the largest comprehensive stroke center in Indonesia from January 2019 to January 2022. We compared demographic and vascular risk factors as well as angiographic features between patients with ruptured and unruptured aneurysms with univariate and multivariate analyses. Results Of 275 patients, 231 (84%) had ruptured cerebral aneurysms. We found a significant difference between the ruptured and unruptured groups in variables such as age, hypertension, dyslipidemia, smoking, location, and type of aneurysm. It was found that only the anterior circulation site (OR 4.91, 95% CI 1.47–16.48; p < 0.01) and saccular type (OR 5.45, 95% CI 1.42–20.93; p = 0.01) were significantly linked to ruptured aneurysms. Conclusion Our findings revealed that anterior location and saccular type were substantially linked with ruptured aneurysms in the Indonesian population.

Predicting the development of delayed cerebral ischemia in patients with ruptured arterial aneurysms

Introduction. Vasospasm and delayed cerebral ischemia (DCI), which develop after rupture of cerebral arterial aneurysms and their surgical treatment, are serious complications that worsen the clinical outcome of the disease. The ability to predict the risk of developing these complications is an urgent task allowing to reduce neurological deficits and improve the quality of the patients’ life after aneurysm rupture. Aim – to develop a prognostic model for the development of DCI in patients with ruptured cerebral arterial aneurysms based on the study of a complex of clinical manifestations and a number of laboratory parameters. Material and methods. We examined 91 patients with ruptured arterial aneurysms and the development of subarachnoid hemorrhage in the acute period, identifying the main group with the development of DCI (n=67) and the comparison group without DCI (n=24) in the pre- and postoperative periods. Clinical neurological and neuroimaging studies have been carried out. We studied indicators of blood oxygen transport function, platelet aggregation, coagulogram, concentration of nitrates/nitrites (NOx), angiotensin-converting enzyme (ACE) in venous blood in the pre- and postoperative periods. Results. Based on the logistic regression equation, we determined that predictors influencing the probability of DCI development after aneurysm rupture and clipping include a score on the Glasgow Coma Scale (p=0.001), the p50 value is the partial pressure of oxygen in the blood at which hemoglobin is oxygen saturated by 50% (p=0.001), ACE concentration (p=0.013), NOx/ACE index (p=0.001) and the degree of platelet aggregation according to Traptest (p=0.005). The threshold value of the result of the logistic regression equation was 0.58 with a diagnostic sensitivity of 85.4% and specificity of 69.3%, the area under the ROC of the AUC curve was 0.88±0.015 (p&lt;0.001), which indicates the high quality of the constructed model. Conclusion. The developed predictive model of the probability of DCI development in patients with ruptured arterial cerebral aneurysms with a diagnostic efficiency of 88% allows timely identifying patients for whom it is advisable to begin neuroprotective therapy before surgical treatment.

Effects of induced arterial hypertension for vasospasm on unruptured and unsecured cerebral aneurysms (growth and rupture). A retrospective case-control study

ObjectivesUnruptured cerebral aneurysms (UCAs) often coexist with the ruptured one but are typically left unsecured during the weeks following aneurysmal subarachnoid hemorrhage (aSAH). We compared the rate of UCAs rupture or volume growth (≥5 mm3) between patients exposed to induced arterial hypertension (iHTN) for vasospasm and those not exposed (control group). Materials and MethodsFrom 2013 to 2021, we retrospectively included consecutive adult patients with aSAH who had ≥1 UCA. Custom software for digital subtraction angiography (DSA) image analysis characterized UCAs volume, going beyond merely considering UCAs long axis. ResultsWe analyzed 118 patients (180 UCAs): 45 in the iHTN group (64 UCAs) and 73 in the control group (116 UCAs). Systolic blood pressure in the iHTN group was significantly higher than in the control group for several days after aSAH. During the 107 day-monitoring period [interquartile range(IQR):92;128], no UCA rupture occurred in either group. UCA volume analysis was performed in 44 patients (60 UCAs): none of the UCAs in the iHTN group and 3 out of 42 (7%) in the control group had a >5 mm3 volume growth (p=0.55). Other morphologic parameters did not exhibit any variations that might indicate an increased risk of rupture in the iHTN group compared to the control group. ConclusioniHTN did not increase the risk of rupture or volume growth of UCAs within several weeks following aSAH. These reassuring results encourage not to refrain, because of the existence of UCAs, from iHTN as an option to prevent cerebral infarction during cerebral vasospasm.

A prospective observational study on hemodynamic risk in cerebral aneurysm growth

Introduction: Hemodynamic factors are thought to play a major role in the development, growth, and rupture of cerebral aneurysms, but the hemodynamics related to enlargement remain unclear. We prospectively enrolled patients with unruptured cerebral aneurysms and performed Computational Fluid Dynamics (CFD) analysis using 3D CT images to investigate differences in hemodynamic environments between aneurysms that grew and those that did not grow over a 3-year period. Methods: This prospective observational study was approved by the National Hospital Organization Central Ethics Review Board. Hemodynamic distributions were examined using ANSYS-CFX software. Patient-specific arterial geometries and inflow velocities were obtained from 3D-CTA and carotid ultrasound Doppler examinations. The distributions of hemodynamic metrics of 17 enlarged and 70 unenlarged aneurysms was compared. In addition, the distributions of hemodynamic metrics of the neck, body, and dome of the aneurysm was also examined in 9 enlarged and 41 non-enlarged cases. A multivariate logistic analysis was performed to investigate the influence of the six hemodynamic metrics, i.e., the time-averaged wall shear stress (TAWSS), time-averaged WSS gradient (TAWSSG), oscillatory shear index (OSI), gradient oscillatory number (GON), transverse WSS (transWSS), and normalized transWSS (NtransWSS) after adjustment forknown risk factors for aneurysm growth, i.e., age, sex, hypertension, smoking history, and aneurysm location, size, and history of subarachnoid hemorrhage. Results: Regarding the distributions of hemodynamic metrics throughout the aneurysm, NtransWSS was significantly higher in the cases with growth than in the cases without growth (odds ratio 2.09, 95% CI 1.02-4.29). the distributions of hemodynamic metrics at each cerebral aneurysm growth site showed that NtransWSS at the dome was significantly higher in the growth cases than in the non-enlargement cases (odds ratio 4.14, 95% CI 1.02-16.80). Conclusion: The data suggest that multidirectional disturbance of wall shear stress is involved in cerebral aneurysm growth, and the disturbance at the dome of the aneurysm may be particularly strongly related. This study was supported by a Grant-in-Aid from the Japanese National Hospital Organization Multi-Center Clinical Research, AMED under grant no. JP15gm0810006h0301 and a JSPS KAKENHI Grant, no. 15K10323. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Hemodynamic study of the ICA aneurysm evolution to attain the cerebral aneurysm rupture risk

The influence of the aneurysm evolution on the hemodynamic characteristic of the blood flow inside the sac region is comprehensively investigated. By using the computational method, the blood flow through the vessel and aneurysm of the sac region is examined to find the role of aneurysm evolution on the wall shear stress, pressure, and risk of aneurysm rupture. Three different models of ICA aneurysms are chosen for the investigation of the aneurysm evolution at risk of rupture. Obtained data shows that the evolution of the aneurysm decreases the wall shear stress and pressure on the sac surface while an oscillatory index of blood increases on the aneurysm wall.

696 Optimal Management Strategy for Carotid Cavernous Aneurysm From Cost-effectiveness Perspective

INTRODUCTION: Most cavernous carotid aneurysms (CCAs) are asymptomatic benign lesions; therefore, they are frequently detected during routine clinical diagnostic processes. Most providers recommend routine surveillance instead of immediate management for CCAs given a natural history with a low risk of life-threatening complications. However, the cost-effectiveness of such care and the optimal follow-up interval remains unknown. METHODS: A decision analysis study was performed utilizing a Markov model with Monte Carlo simulations to simulate patients undergoing treatment or routine surveillance at different time intervals (half, 1-,2-,3-, 5-and 7-year intervals) for different size of CCAs (=&lt;12 mm, 13- 24 mm, &gt;=25 mm ). Input data for the model was extracted from the current literature. Probabilistic and deterministic sensitivity analyses were performed to evaluate the robustness of the Model. RESULTS: On base case analysis, following-up every 2 years with noninvasive imaging is the most cost-effective strategy for CCAs =&lt; 12 mm, while annual follow up is cost-effective for large/giant (13-24 mm, &gt;=25 mm) CCAs. The conclusions remain robust in probabilistic sensitivity and deterministic sensitivity analyses. As the risk of thrombo-embolic event gets higher and annual growth risk and annual rupture risk of CCAs increases, immediate treatment for large/giant (13- 24 mm, &gt;=25 mm ) CCAs and annual follow up even prompt treatment for CCAs =&lt; 12 mm is optimal. CONCLUSIONS: The most cost-effective management strategy for CCAs=&lt; 12 mm and large/giant CCAs are following up every 2 years and following up every year, respectively. More frequent follow-up strategies or prompt preventive treatment for CCAs =&lt; 12 mm and immediate treatment for large/giant CCAs would be more appropriate in patients with higher risk factors for cerebral ischemia, aneurysm growth and aneurysm rupture.

THE ROLE AND CORRECTION OF SEXUAL DYSFUNCTION AS A COMPONENT OF THE QUALITY OF LIFE IN PATIENTS OPERATED ON FOR CEREBRAL ANEURYSM RUPTURE

Introduction. Hemorrhagic stroke due to the rupture of the intracranial aneurysm (IA) is a typical clinical manifestation of the disease and one of the main causes of disability, affecting the quality of life in operated patients.&#x0D; The aim. To determine the feasibility and safety of implementing protocols for diabetes mellitus (DM) treatment as part of rehabilitation interventions in patients who have undergone surgery for the rupture of intracranial aneurysm (IA) in the brain.&#x0D; Materials and methods. To determine the effectiveness and safety of implementing diabetes mellitus (DM) treatment protocols in individually developed rehabilitation interventions following surgery for the rupture of intracranial aneurysm (IA) in the brain, a retrospective cohort study was conducted in parallel groups.&#x0D; Results. Sexual dysfunctions (SD) resulting from the rupture of IA are multifactorial. The causes of SD can be categorized as primary, secondary, and tertiary. Primary causes include damage to brain structures by hemorrhagic stroke or vascular ischemic events affecting sexual functioning, pre-existing medical conditions, and side effects related to medication therapy during treatment. Secondary causes encompass persistent sensorimotor disturbances due to a prior stroke. Issues related to cognitive, behavioral, and psychosocial adaptation constitute tertiary causes of SD. The effective and prompt correction of sexual dysfunction in patients following the rupture of cerebral blood vessel aneurysms largely depended on the proper administration of anesthesia during surgical interventions and intensive therapy in the perioperative period. This includes preoperative preparation and patient analgesia, the administration of anesthesia, and adequate postoperative care.&#x0D; Conclusions. The application of SD correction in men as part of rehabilitation measures from the 6th to the 24th month after surgical treatment of intracranial aneurysm (IA) has a positive impact, reducing SD regression from 88.9% (n=56/63) to 34.9% (n=22/63).

Clinical efficacy of early microsurgical clipping of tumor neck in the treatment of cerebral aneurysm rupture and bleeding and its impact on oxidative stress response and prognosis of patients.

Cerebral aneurysm can rupture a blood vessel and cause bleeding in the brain. Microsurgical clipping of the tumor neck has been reported to be effective in treating cerebral aneurysm rupture and bleeding. This research attempted to clarify the clinical efficacy of early microsurgical clipping of tumor neck for treating cerebral aneurysm rupture and bleeding, and its impact on the prognosis of patients. One hundred patients with cerebral aneurysm rupture and bleeding patients were treated. They were selected and divided into experimental group (n=25) and control group (n=25) according to surgical time. All patients underwent microsurgical clipping of tumor neck for therapy. The control group chose to undergo surgery 72 hours after the onset of cerebral aneurysm rupture and bleeding, while the experimental group chose to undergo complete surgery within 72 hours after the onset of cerebral aneurysm rupture and bleeding. Primary outcome measures were incidence of complications, cognitive function scores, prognosis, surgical indicators, oxidative stress response and quality of life. Results showed that compared to the control group, the incidence of complications in experimental group exhibited depletion (P<0.05), the prognosis in experimental group exhibited elevation (P<0.05), the hospitalization time in experimental group exhibited depletion (P<0.05), the nomination, abstraction, language, orientation, attention, delayed recall and visual and executive function scores and total scores in experimental group exhibited elevation (P<0.05), serum levels of oxidative stress-related indicators in experimental group exhibited depletion (P<0.05) and the quality of life in experimental group exhibited elevation (P<0.05). In conclusion, early microsurgical clipping of the tumor neck can reduce the risk of complications and cognitive impairment in patients with cerebral aneurysm rupture and bleeding.

The relationship between the level of vitamin D and ruptured intracranial aneurysms among patients with high sun exposure

Non-traumatic subarachnoid hemorrhage (SAH) accounts for 3–5% of acute strokes. Intracranial aneurysm is the most common cause of non-traumatic SAH. Vitamin D influences the cardiovascular system, including the formation and rupture of cerebral aneurysms. To evaluate the serum vitamin D level in patients living in the tropical zone who suffered aneurysmal subarachnoid hemorrhage and its correlation with demographic and neurological characteristics. This is an analytical cross-sectional study to assess the serum level of vitamin D in a study population of 99 patients treated and diagnosed with aSAH in a public hospital in Recife-PE over a period of 12 months. In the study sample, composed of individuals with high sun exposure due to the lifestyle they lead in a tropical region, we observed hypovitaminosis D (85.9%), with a median of 19.9 ng/ml, although the majority of individuals are skin with high concentration of melanin (Fitzpatrick skin type IV and V). In addition, rates of sun exposure are high to all patients (Solar Index 9.03 P50). Most individuals were female (79.8%); there was no statistical difference in solar exposure/solar index between genders. As for the neurological repercussions, there was no statistical relevance in the clinical prognostic scales evaluated. As the sample was composed mainly of individuals whose economic activity is agriculture, the values of solar index found are vastly higher than those of other studies conducted in high latitude regions. In line with the literature review, some aspects were raised with the objective of justifying such findings that go from the base of the poor diet of these individuals, the increase of melanin in the skin and genetic alterations that directs us to possible mechanisms of natural photoprotection to high sun exposure. Thus, we had a vast majority (85%) of hypovitaminosis D, which in fact makes us wonder if there is any influence of calcitriol on vitamin D receptors in vascular walls and in the cardiovascular system as a whole, which influence bleeding events of this nature. As for the neurological repercussions, measured using assessment scales (Glasgow coma scale, WFNS scale, Hunt–Hess and Fisher's tomographic scale) there was no significant difference in the results. As it is only a descriptive study, the causal relationship of the facts cannot be established. However, in a population exposed to high sun exposure and affected by aneurysmal SAH, there is a significant rate of hypovitaminosis D, which supports the hypothesis that vitamin D plays a role in vascular pathologies, such as cerebral aneurysms and SAH.

Abstract TMP1: Cerebral Aneurysm Walls Contain Myoglobin That is Possibly Produced by Myofibroblasts and Contributes to Wall Thickening

Background: Cerebral aneurysms rupture at a thin-walled region; however, mechanisms of aneurysmal wall thinning and thickening remain unclear. Myoglobin scavenges nitric oxide and reactive oxygen spices which promote aneurysmal development. Objectives: To investigate the biological role of myoglobin in aneurysmal wall. Methods: Cerebral aneurysmal wall samples were collected between August 2020 and March 2022 for proteomic analysis and immunohistology. We examined the co-localization of myoglobin expression within smooth muscle cells, identified by α-smooth muscle actin (α-SMA) staining, and myofibroblasts, identified by periostin staining. Collagen and myoglobin density in the same sample areas were investigated for its correlation in the aneurysm walls. Results: A total of 35 specimens were obtained from 21 patients who underwent aneurysmal clipping. Proteome analysis was performed using 11 specimens, which firstly detected myoglobin predominantly in the thickened wall. Among 24 formalin-fixed samples, 19 samples were found myoglobin expression. Myoglobin was mostly scattered within the vascular smooth muscle layer and tended to be expressed at sites where iNOS was scarce. Double-label immunofluorescence staining confirmed that the myoglobin-positive rate within α-SMA-positive cells/areas was 33.2±23.8%/31.3±37.8%, respectively, whereas within periostin-positive cells/areas it was 92.2±13.7%/79.8±29.5, respectively. A total of 32 areas were investigated for the correlation between collagen and myoglobin density , which a strong correlation was observed with a Spearman's rank correlation coefficient of 0.635 (p &lt; 0.001). Conclusions: Cerebral aneurysmal walls express myoglobin, which may be produced by myofibroblasts in the wall. Areas with high myoglobin levels retain high levels of collagen fibers, and myoglobin may be involved in wall thickening by suppressing destructive changes in the extracellular collagen fibers.

The Use of Neuromarker NSE, S100-B, GFAP Proteins in the Diagnosis and Treatment of Cerebral Ischemia in Patients with Aneurysmal Subarachnoid Hemorrhage

The incidence of non-traumatic subarachnoid hemorrhage due to rupture of cerebral aneurysms and subsequent disability motivates the search for predictors of severe course and unfavorable outcome of the disease for early intensive treatment. NSE, S100-B, GFAP markers have proven themselves well for assessing the dynamics of treatment for diseases of the nervous system and detecting neurological nosologies. The use of the above proteins in aneurysmal hemorrhage opens up new perspectives in assessing the clinical status of the patient in the early stages, developing further treatment strategies, as well as helps draw conclusions about the outcome of the disease and possible disability of the patient. The studies collected in the review motivate continued research of the neuromarkers in aneurysmal hemorrhage.

Hemodynamic effects of the blood flow on aneurysm rupture risk: Geometrical aspects

This study provides comprehensive information about the impact of the parent vessel’s shape on the risk of cerebral aneurysm rupture. It focuses on internal carotid artery (ICA) aneurysms with varying parent vessel sizes, analyzing different aspects of blood flow dynamics. By comparing various hemodynamic factors such as wall shear stress (WSS), oscillatory shear index (OSI) and pressure distribution, the researchers aim to establish a meaningful relationship between the parent vessel’s mean diameter and these significant hemodynamic parameters.

Prediction of cerebral aneurysm rupture risk by machine learning algorithms: a systematic review and meta-analysis of 18,670 participants.

It is possible to identify unruptured intracranial aneurysms (UIA) using machine learning (ML) algorithms, which can be a life-saving strategy, especially in high-risk populations. To better understand the importance and effectiveness of ML algorithms in practice, a systematic review and meta-analysis were conducted to predict cerebral aneurysm rupture risk. PubMed, Scopus, Web of Science, and Embase were searched without restrictions until March 20, 2023. Eligibility criteria included studies that used ML approaches in patients with cerebral aneurysms confirmed by DSA, CTA, or MRI. Out of 35 studies included, 33 were cohort, and 11 used digital subtraction angiography (DSA) as their reference imaging modality. Middle cerebral artery (MCA) and anterior cerebral artery (ACA) were the commonest locations of aneurysmal vascular involvement-51% and 40%, respectively. The aneurysm morphology was saccular in 48% of studies. Ten of 37 studies (27%) used deep learning techniques such as CNNs and ANNs. Meta-analysis was performed on 17 studies: sensitivity of 0.83 (95% confidence interval (CI), 0.77-0.88); specificity of 0.83 (95% CI, 0.75-0.88); positive DLR of 4.81 (95% CI, 3.29-7.02) and the negative DLR of 0.20 (95% CI, 0.14-0.29); a diagnostic score of 3.17 (95% CI, 2.55-3.78); odds ratio of 23.69 (95% CI, 12.75-44.01). ML algorithms can effectively predict the risk of rupture in cerebral aneurysms with good levels of accuracy, sensitivity, and specificity. However, further research is needed to enhance their diagnostic performance in predicting the rupture status of IA.