Rupture Of Intracranial Aneurysms Research Articles

Rupture point is associated with divergent hemodynamics in intracranial aneurysms

BackgroundUnderstanding the risk factors leading to intracranial aneurysm (IA) rupture have still not been fully clarified. They are vital for proper medical guidance of patients harboring unruptured IAs. Clarifying the hemodynamics associated with the point of rupture could help could provide useful information about some of the risk factors. Thus far, few studies have studied this issue with often diverging conclusions.MethodsWe identified a point of rupture in patients operated for an IAs during surgery, using a combination of preoperative computed tomography (CT) and computed tomography angiography (CTA). Hemodynamic parameters were calculated both for the aneurysm sac as a whole and the point of rupture. In two cases, the results of CFD were compared with those of the experiment using particle image velocimetry (PIV).ResultsWe were able to identify 6 aneurysms with a well-demarcated point of rupture. In four aneurysms, the rupture point was near the vortex with low wall shear stress (WSS) and high oscillatory shear index (OSI). In one case, the rupture point was in the flow jet with high WSS. In the last case, the rupture point was in the significant bleb and no specific hemodynamic parameters were found. The CFD results were verified in the PIV part of the study.ConclusionOur study shows that different hemodynamic scenarios are associated with the site of IA rupture. The numerical simulations were confirmed by laboratory models. This study further supports the hypothesis that various pathological pathways may lead to aneurysm wall damage resulting in its rupture.

The rupture risk of intracranial saccular aneurysm: a case-control study based on a three-dimensional computed tomography angiography model.

Assessing the risk of rupture in intracranial aneurysms is crucial. Advancements in medical imaging now allow for three-dimensional (3D) assessments of aneurysms, providing a more detailed understanding of their morphology and associated risks. This study aimed to compare the 3D morphological parameters of ruptured and unruptured intracranial saccular aneurysms (ISAs) using computed tomography angiography (CTA) and to analyze risk factors linked to ISA rupture. This retrospective case-control study included patients diagnosed with ISAs via CTA, for which data were sourced from both the Emergency Department and Inpatient Unit in The First Affiliated Hospital of Jinan University. The patients were categorized into rupture and unrupture groups. We used 3D-Slicer (version 5.2.2, Slicer Community) to construct morphological models of the ISAs and their parent arteries. These models facilitated assessments of intracranial aneurysmal volume (IAV), aneurysmal surface area (ASA), and maximum sectional area (MSA). Differences in 3D morphological parameters between ruptured and unruptured ISAs were then analyzed. For statistical analysis, we first performed single factor analysis on the data, constructed a receiver operating characteristic (ROC) curve one by one with statistically significant parameters, and screened out ROC curves that met the sample requirements. Second, we performed multiparameter logistic regression analysis to construct a ROC curve model and analyzed its predictive performance. The analysis encompassed 97 patients comprising 97 ISAs diagnosed from March 2016 to March 2022. Significant differences in morphological parameters were observed between the rupture and unrupture groups (P<0.05), including IAV, ASA, MSA, IAV/diameter (IAV/D), IAV/neck width (IAV/N), MSA/diameter (MSA/D), MSA/neck width (MSA/N), ASA/neck width (ASA/N), and ASA/MSA. It was found that the IAV, ASA, and MSA values of the rupture group were larger than those of the unrupture group. Meanwhile, the IAV/D, IAV/N, MSA/D, MSA/N, and ASA/N values were larger in the rupture group, while ASA/MSA and ASA/IAV were smaller. This study underscores the significance of specific morphological indicators, such as ASA/N and ASA/MSA, in predicting the rupture risk of ISAs. The IAV, MSA, and ASA parameters, especially in relation to diameter and neck width, provide crucial insights into the rupture potential of ISAs.

Transcriptomics of intracranial aneurysms: current state and opportunities in flow diversion.

Over the last 2 decades, the field of transcriptomics has emerged as a major subdiscipline in biology. Transcriptomic techniques have been used by many groups over this time to better understand intracranial aneurysm development, rupture, and treatment. However, only a few studies have applied transcriptomics to understand the mechanisms behind flow diversion (FD) specifically, despite its increasing importance in the neurointerventional armamentarium. FD is an increasingly safe and effective treatment option for intracranial aneurysms. However, the clinical understanding and use of FD has far outpaced the understanding of the underlying mechanisms. To make FD more predictable, clinically efficacious, and safe, it is important to understand the biological mechanisms at play that lead to successful and unsuccessful FD. In this review, the authors focus on the current understanding of FD biology, the recent advances in transcriptomics, and what future studies could be performed to deepen the understanding of FD. They propose the new concept of the FD microenvironment to be studied, which may unlock a deeper biological understanding. This review provides the background for prospective studies into the development of targeted aneurysm therapy, whether by modified devices or by medical adjuncts.

Bioinformatics analysis revealed the potential crosstalk genes and molecular mechanisms between intracranial aneurysms and periodontitis

ObjectivesThe risk of intracranial aneurysms (IAs) development and rupture is significantly higher in patients with periodontitis (PD), suggesting an association between the two. However, the specific mechanisms of association between these two diseases have not been fully investigated.Materials and methodsIn this study, we downloaded IAs and PD data from the Gene Expression Omnibus. Differentially expressed genes (DEGs) were identified, and functional enrichment analysis was performed. The protein-protein interaction (PPI) network and weighted gene co-expression network analysis (WGCNA) was performed to identified key modules and key crosstalk genes. In addition, the immune cell landscape was assessed and the correlation of key crosstalk genes with each immune cell was calculated. Finally, transcription factors (TFs) regulating key crosstalk genes were explored.Results127 overlapping DEGs were identified and functional enrichment analysis highlighted the important role of immune reflection in the pathogenesis of IAs and PD. We identified ITGAX and COL4A2 as key crosstalk genes. In addition, the expression of multiple immune cells was significantly elevated in PDs and IAs compared to controls, and both key crosstalk genes were significantly negatively associated with Macrophages M2. Finally, GATA2 was identified as a potential key transcription factor (TF), which regulates two key crosstalk gene.ConclusionsThe present study identifies key crosstalk genes and TF in PD and IAs, providing new insights for further study of the co-pathogenesis of PD and IAs from an immune and inflammatory perspective. Also, this is the first study to report the above findings.

Prediction of small intracranial aneurysm rupture status based on combined Clinical–Radiomics model

BackgroundAccumulating small unruptured intracranial aneurysms are detected due to the improved quality and higher frequency of cranial imaging, but treatment remains controversial. While surgery or endovascular treatment is effective for small aneurysms with a high risk of rupture, such interventions are unnecessary for aneurysms with a low risk of rupture. Consequently, it is imperative to accurately identify small aneurysms with a low risk of rupture. The purpose of this study was to develop a clinically practical model to predict small aneurysm ruptures based on a radiomics signature and clinical risk factors. MethodsA total of 293 patients having an aneurysm with a diameter of less than 5 mm, including 199 patients (67.9 %) with a ruptured aneurysm and 94 patients (32.1 %) without a ruptured aneurysm, were included in this study. Digital subtraction angiography or surgical treatment was required in all cases. Data on the clinical risk factors and the features on computed tomography angiography images associated with the aneurysm rupture status were collected simultaneously. We developed a clinical–radiomics model to predict aneurysm rupture status using multivariate logistic regression analysis. The combined clinical–radiomics model was constructed by nomogram analysis. The diagnostic performance, clinical utility, and model calibration were evaluated by operating characteristic curve analysis, decision curve analysis, and calibration analysis. ResultsA combined clinical–radiomics model (Area Under Curve [AUC], 0.85; 95 % confidence interval [CI], 0.757–0.947) showed effective performance in the operating characteristic curve analysis. In the validation cohort, the performance of the combined model was better than that of the radiomics model (AUC, 0.75; 95 % CI, 0.645–0.865; Delong's test p-value = 0.01) and the clinical model (AUC, 0.74; 95 % CI, 0.625–0.851; Delong's test p-value <0.01) alone. The results of the decision curve, nomogram, and calibration analyses demonstrated the clinical utility and good fitness of the combined model. ConclusionOur study demonstrated the effectiveness of a clinical–radiomics model for predicting rupture status in small aneurysms.

Transition of intracranial aneurysmal wall enhancement from high to low wall shear stress mediation with size increase: A hemodynamic study based on 7T magnetic resonance imaging

BackgroundWall shear stress (WSS) has been proved to be related to the formation, development and rupture of intracranial aneurysms. Aneurysm wall enhancement (AWE) on magnetic resonance imaging (MRI) can be caused by inflammation and have confirmed its relationship with low WSS. High WSS can also result in inflammation but the research of its correlation with AWE is lack because of the focus on large aneurysms limited by 3T MRI in most previous studies.This study aimed to assess the potential association between high or low WSS and AWE in different aneuryms. Especially the relationship between high WSS and AWE in small aneurysm. MethodsForty-three unruptured intracranial aneurysms in 42 patients were prospectively included for analysis. 7.0 T MRI was used for imaging. Aneurysm size was measured on three-dimensional time-of-flight (TOF) images. Aneurysm-to-pituitary stalk contrast ratio (CRstalk) was calculated on post-contrast black-blood T1-weighted fast spin echo sequence images. Hemodynamics were assessed by four-dimensional flow MRI. ResultsThe small aneurysms group had more positive WSS–CRstalk correlation coefficient distribution (dome: 78.6 %, p = 0.009; body: 50.0 %, p = 0.025), and large group had more negative coefficient distribution (dome: 44.8 %, p = 0.001; body: 69.0 %, p = 0.002). Aneurysm size was positively correlated with the significant OSI–CRstalk correlation coefficient at the dome (p = 0.012) and body (p = 0.010) but negatively correlated with the significant WSS–CRstalk correlation coefficient at the dome (p < 0.001) and body (p = 0.017). ConclusionAWE can be mediated by both high and low WSS, and translate from high WSS- to low WSS-mediated pathways as size increase. Additionally, AWE may serve as an indicator of the stage of aneurysm development via different correlations with hemodynamic factors.

392 Validation of a Mathematical Model for Rupture of Spherical Intracranial Aneurysms

INTRODUCTION: An accurate mathematical model of intracranial aneurysm (IA) mechanics is of great value for its potential utility in assessing probability of IA rupture, thus informing the decision to pursue surgical intervention with its associated risks. Such a model for spherical IAs has been proposed which predicts a wall-thickness-to-IA-radius ratio (WTR) of 6.1*10-3 at which IAs rupture (Chaudhry et al. 2006). To our knowledge, no further work has been done to validate this model with clinical data. We assess the accuracy of this model using cases of ruptured and unruptured IAs. METHODS: Aneurysm height, width, neck diameter, and vessel radius were measured on CTAs/MRAs/DSAs of IAs of the basilar tip, anterior communicating, and posterior communicating arteries. Binary logistic regression analysis was performed to determine the WTR where there is a 50% probability of rupture. RESULTS: 52 unruptured and 28 ruptured spherical IAs were included. Binary logistic regression revealed a strong association between decreased WTR and rupture status. The point at which there is a 50% chance of rupture was found to be WTR = 8.6*10-3, from which the proposed 6.1*10-3 differs by only 29%. CONCLUSIONS: The model for IA rupture mechanics proposed by Chaudhry et al. agrees reasonably well with clinical data and could serve as a foundation upon which further investigation may be based. This study was limited primarily by its method of approximating aneurysm wall thickness, which may have over- or under-estimated the actual thickness. Future studies may improve on this by utilizing direct measurements of wall thickness through histological examination.

212 Differential Immune Cell Recruitment Between Ruptured and Unruptured Intracranial Aneurysms

INTRODUCTION: Accumulating evidence implicates infiltrating inflammatory cells in intracranial aneurysms. However, few studies have examined immunological differences between aneurysm rupture statuses. METHODS: An established machine-learning deconvolution algorithm was applied on RNA-sequencing data developed from vessel wall tissue of 21 ruptured and 21 unruptured intracranial aneurysms. A validated gene signature matrix of human hematopoietic cell subsets was used to infer the relative fractions of immune cells present within the original aneurysm tissues. RESULTS: Deconvolution of the bulk gene expression data showed significantly increased plasma cells, CD8+ T cells, and activated natural killer cells in unruptured aneurysms compared to ruptured aneurysms. CONCLUSIONS: Specific lymphoid elements may be involved in an inflammatory reaction prior to intracranial aneurysm rupture.

Identification of DLEU2 as biomarker based on lncRNA-Mediated ceRNA network in rupture of intracranial aneurysm.

Intracranial aneurysms (IA) is a potentially devastating clinical problem that may cause lethal subarachnoid hemorrhage upon rupture, but the molecular mechanisms remain further elucidated. Our goal in this work was to build the lncRNA-mediated ceRNA network in IS and explore the associated pathways and functions. The deep transcriptome sequencing dataset profile of rupture of IA and normal tissues (SRP150595) was obtained from NCBI database. To determine which genes were differently expressed, weighted gene co-expression network analysis and other integrated bioinformatics techniques were used (DEGs). The action mechanism and associated pathways of DEGs in IA were investigated using GO annotations and KEGG analysis. The Starbase database was used to build the ceRNA network. Vascular smooth muscle cells (VSMC) were used for the transwell assay and CCK-8. A total of 248 common differentially expressed-protein coding RNA and 76 DE-lncRNAs were obtained. Functional enrichment analysis indicated that the DEGs of IA are involved in pathways of inflammation and immune response. A lncRNAs-mediated ceRNA network including lncRNAs BASP1-AS1, DLEU2, LINC02035, LINC02363, MMP25-AS1, AC008771.1 was constructed. The biological behavior of VSMC was suppressed when DLEU2 was knocked down. In conclusion, a lncRNAs-mediated ceRNA network was constructed in IA based on the integrated bioinformatics analyses, in which DLEU2 was identified to be a novel and potential biomarker of IA.

UDT: U‐shaped deformable transformer for subarachnoid haemorrhage image segmentation

AbstractSubarachnoid haemorrhage (SAH), mostly caused by the rupture of intracranial aneurysm, is a common disease with a high fatality rate. SAH lesions are generally diffusely distributed, showing a variety of scales with irregular edges. The complex characteristics of lesions make SAH segmentation a challenging task. To cope with these difficulties, a u‐shaped deformable transformer (UDT) is proposed for SAH segmentation. Specifically, first, a multi‐scale deformable attention (MSDA) module is exploited to model the diffuseness and scale‐variant characteristics of SAH lesions, where the MSDA module can fuse features in different scales and adjust the attention field of each element dynamically to generate discriminative multi‐scale features. Second, the cross deformable attention‐based skip connection (CDASC) module is designed to model the irregular edge characteristic of SAH lesions, where the CDASC module can utilise the spatial details from encoder features to refine the spatial information of decoder features. Third, the MSDA and CDASC modules are embedded into the backbone Res‐UNet to construct the proposed UDT. Extensive experiments are conducted on the self‐built SAH‐CT dataset and two public medical datasets (GlaS and MoNuSeg). Experimental results show that the presented UDT achieves the state‐of‐the‐art performance.

Profiling of immune infiltration landscape of ruptured intracranial aneurysm.

Previous research has indicated that the rupture of intracranial aneurysm (IA) is a significant contributor to mortality from stroke. The objective of this present study was to examine the infiltration patterns in ruptured intracranial aneurysm (RIA), with the aim of generating insights that could inform the development of effective immunotherapeutic approaches. To achieve this, we obtained Gene Expression Omnibus datasets pertaining to ruptured aneurysms, encompassing a total of 19 unruptured intracranial aneurysms (UIA) and 27 RIA. Subsequently, we conducted differential gene analysis and immune cell analysis specifically for the RIA. According to the conducted studies, the analysis has identified 10 hub genes within key modules. Through the utilization of Kyoto Encyclopedia of Genes and Genomes pathway and gene ontology terms analyses, it has been established that genes exhibiting differential expression are associated with immune cell infiltration in the aneurysm wall. Furthermore, the implementation of the CIBERSORT algorithm has revealed that there are 22 distinct immune cells between RIA and tissues of UIA. IA samples contained a higher proportion of macrophages M1, mast cells resting, and CD4 naive T cells, while macrophages M0 and neutrophils were relatively lower in RIA compared with those in UIA. The current study initially identified highly conservative hub genes and immune cell infiltration patterns in IA. Data presented in the current study improved understanding of immune genes that drive IA which can be exploited in development of effective immunotherapies.

Identification of differentially expressed autophagy-related genes in cases of intracranial aneurysm: Bioinformatics analysis

ObjectiveRecent research indicates that autophagy is essential for the rupture of intracranial aneurysm (IA). This study aimed to examine and validate potential autophagy-related genes (ARGs) in cases of IA using bioinformatics analysis. MethodsTwo expression profiles (GSE54083 and GSE75436) were obtained from the Gene Expression Omnibus database. Differentially expressed ARGs (DEARGs) in cases of IA were screened using GSE75436, and enrichment analysis and Protein–Protein Interaction (PPI) networks were used to identify the hub genes and related pathways. Furthermore, a novel predictive diagnostic signature for IA based on the hub genes was constructed. The area under the Receiver Operating Characteristic curve (AUC) was used to evaluate the signature performance in GSE75436. ResultsIn total, 75 co-expressed DEARGs were identified in the GSE75436 and GSE54083 dataset (28 upregulated and 47 downregulated genes). Enrichment analysis of DEARGs revealed several enriched terms associated with proteoglycans in cancer and human immunodeficiency virus 1 infection. PPI analysis revealed interactions between these genes. Hub DEARGs included insulin-like growth factor 1, clusters of differentiation 4, cysteine-aspartic acid protease 8, Bcl-2-like protein 11, mouse double mutant 2 homolog, toll-like receptor 4, growth factor receptor-bound protein 2, Jun proto-oncogene, AP-1 transcription factor subunit, hypoxia inducible factor 1 alpha, and erythroblastic oncogene B-2. Notably, the signature showed good performance in distinguishing IA (AUC = 0.87). The sig calibration curves showed good calibration. ConclusionBioinformatic analysis identified 75 potential DEARGs in cases of IA. This study revealed that IA is affected by autophagy, which could explain the pathogenesis of IA and aid in its diagnosis and treatment. However, future research with experimental validation is necessary to identify potential DEARGs in cases of IA.

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).

Hydrogels for Cardio and Vascular Tissue Repair and Regeneration.

Cardiovascular disease (CVD), the leading cause of death globally, affects the heart and arteries with a variety of clinical manifestations, the most dramatic of which are myocardial infarction (MI), abdominal aortic aneurysm (AAA), and intracranial aneurysm (IA) rupture. In MI, necrosis of the myocardium, scar formation, and loss of cardiomyocytes result from insufficient blood supply due to coronary artery occlusion. Beyond stenosis, the arteries that are structurally and functionally connected to the cardiac tissue can undergo pathological dilation, i.e., aneurysmal dilation, with high risk of rupture. Aneurysms of the intracranial arteries (IAs) are more commonly seen in young adults, whereas those of the abdominal aorta (AAA) are predominantly seen in the elderly. IAs, unpredictably, can undergo rupture and cause life-threatening hemorrhage, while AAAs can result in rupture, internal bleeding and high mortality rate. In this clinical context, hydrogels, three-dimensional networks of water-seizing polymers, have emerged as promising biomaterials for cardiovascular tissue repair or protection due to their biocompatibility, tunable properties, and ability to encapsulate and release bioactive molecules. This review provides an overview of the current state of research on the use of hydrogels as an innovative platform to promote cardiovascular-specific tissue repair in MI and functional recovery or protection in aneurysmal dilation.

CD6 and CCR7 as Genetic Biomarkers in Evaluating Intracranial Aneurysm Rupture Risk.

This study used bioinformatics combined with statistical methods to identify plasma biomarkers that can predict intracranial aneurysm (IA) rupture and provide a strong theoretical basis for the search for new IA rupture prevention methods. We downloaded gene expression profiles in the GSE36791 and GSE122897 datasets from the Gene Expression Omnibus (GEO) database. Data were normalized using the "sva" R package and differentially expressed genes (DEGs) were identified using the "limma" R package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were used for DEG function analysis. Univariate logistic regression analysis, least absolute shrinkage and selection operator (LASSO) regression modeling, and the support vector machine recursive feature elimination (SVM-RFE) algorithm were used to identify key biomarker genes. Data from GSE122897 and GSE13353 were extracted to verify our findings. Eight co-DEG mRNAs were identified in the GSE36791 and GSE122897 datasets. Genes associated with inflammatory responses were clustered in the co-DEG mRNAs in IAs. CD6 and C-C chemokine receptor 7 (CCR7) were identified as key genes associated with IA. CD6 and CCR7 were upregulated in patients with IA and their expression levels were positively correlated. There were significant differences in the infiltration of immune cells between IAs and normal vascular wall tissues (p < 0.05). A predictive nomogram was designed using this two-gene signature. Binary transformation of CD6 and CCR7 was performed according to the cut-off value to construct the receiver-operating characteristic (ROC) curve and showed a strong predictive ability of the CD6-CCR7 gene signature (p < 0.01; area under the curve (AUC): 0.90; 95% confidence interval (CI): 0.88-0.92). Furthermore, validation of this two-gene signature using the GSE122897 and GSE13353 datasets proved it to be valuable for clinical application. The identified two-gene signature (CD6-CCR7) for evaluating the risk of IA rupture demonstrated good clinical application value.

Insights into subarachnoid hemorrhage: A comprehensive case series analysis

Subarachnoid hemorrhage (SAH) is a critical neurological emergency characterized by bleeding into the subarachnoid space, typically resulting from the rupture of intracranial aneurysms. SAH is associated with high morbidity and mortality rates, making it a subject of significant clinical interest and concern. This case series aims to explore a series of patients with SAH, shedding light on the diverse clinical presentations, management strategies, and outcomes, with the ultimate goal of improving our understanding of this complex condition and enhancing patient care.

Predicting postinterventional rupture of intracranial aneurysms using arteriography-derived radiomic features after pipeline embolization.

Postinterventional rupture of intracranial aneurysms (IAs) remains a severe complication after flow diverter treatment. However, potential hemodynamic mechanisms underlying independent predictors for postinterventional rupture of IAs remain unclear. In this study, we employed arteriography-derived radiomic features to predict this complication. We included 64 patients who underwent pipeline flow diversion for intracranial aneurysms, distinguishing between 16 patients who experienced postinterventional rupture and 48 who did not. We performed propensity score matching based on clinical and morphological factors to match these patients with 48 patients with postinterventional unruptured IAs at a 1:3 ratio. Postinterventional digital subtraction angiography were used to create five arteriography-derived perfusion parameter maps and then radiomics features were obtained from each map. Informative features were selected through the least absolute shrinkage and selection operator method with five-fold cross-validation. Subsequently, radiomics scores were formulated to predict the occurrence of postinterventional IA ruptures. Prediction performance was evaluated with the training and test datasets using area under the curve (AUC) and confusion matrix-derived metrics. Overall, 1,459 radiomics features were obtained, and six were selected. The resulting radiomics scores had high efficacy in distinguishing the postinterventional rupture group. The AUC and Youden index were 0.912 (95% confidence interval: 0.767-1.000) and 0.847 for the training dataset, respectively, and 0.938 (95% confidence interval, 0.806-1.000) and 0.800 for the testing dataset, respectively. Radiomics scores generated using arteriography-derived radiomic features effectively predicted postinterventional IA ruptures and may aid in differentiating IAs at high risk of postinterventional rupture.

Safety and effectiveness of stent-assisted coiling with adjunctive techniques in ruptured acute aneurysms: a propensity score-matched cohort study.

The use of stent-assisted coiling (SAC) in acute subarachnoid hemorrhage cases is associated with higher incidence rates of bleeding and ischemic complications. The aim of this study was to evaluate the safety and efficacy of the SAC technique in the treatment of ruptured intracranial aneurysms (RIAs). A retrospective analysis was conducted on patients with RIAs treated with SAC or coiling alone (CA). Univariate analysis compared clinical information between the two groups. Propensity score matching was used to select patients for comparison and analyze surgical complications, prognosis, and imaging outcomes in both groups. A total of 394 aneurysms were included, and 272 aneurysms remained after application of propensity score matching, with an equal distribution of 136 cases in both the SAC and CA groups. There was no statistically significant difference in the immediate postoperative outcomes between the two groups (63.2% of SAC patients achieved class 1 on the Raymond-Roy occlusion classification scale vs 58.8% of CA patients, difference [95% CI] 4.4% [-0.076 to 0.163]; 33.1% achieved class 2 vs 38.2%, 5.1% [-0.065 to 0.170]; 3.7% achieved class 3 vs 2.9%, 0.8% [-0.047 to 0.062], p = 0.506). At the 1-year follow-up, the SAC group exhibited higher rates of complete occlusion (59.5% vs 42.4%, 17.1% [0.040-0.294]) and stability (24.0% vs 19.2%, 4.8% [-0.061 to 0.156]), while experiencing lower rates of improvement (12.4% vs 22.4%, 10.0% [0.001-0.201]) and recanalization (4.1% vs 16.0%, 11.9% [0.036-0.120]), with statistically significant differences in these outcomes (p < 0.001). No significant disparities were observed in clinical outcomes in terms of modified Rankin Scale (mRS) scores at discharge (76.5% vs 77.2% had mRS score 0-2, 0.7% [-0.098 to 0.113]; 23.5% vs 22.8% had mRS score 3-6, 0.7% [-0.098 to 0.113], p = 0.886) and 1-year follow-up (90.8% vs 92.2% had mRS score 0-2, 1.4% [-0.063 to 0.091]; 9.2% vs 7.8% had mRS score 3-6, 1.4% [-0.063 to 0.091], p = 0.683). Intraoperative rupture occurred more frequently in the SAC group compared with the CA group, although the difference was not statistically significant (5.1% vs 2.9%, 2.2% [-0.035 to 0.081], p = 0.356). The SAC group demonstrated a higher incidence of intraoperative thrombosis, but the difference was not statistically significant (8.1% vs 2.9%, 5.2% [-0.010 to 0.117], p = 0.063). Postoperative thrombosis in the SAC group was 3 times higher, but this difference was not statistically significant (6.6% vs 2.2%, 4.4% [-0.013, 0.106], p = 0.076). The surgery-related mortality rates did not differ significantly between the two groups (4.4% vs 5.9%, 1.5% [-0.048 to 0.077], p = 0.583). Although stent treatment for RIA results in some incidents of complications, it is safe and effective. Besides, the SAC group showed better vascular imaging results compared with the CA group.

Risk factors for shunt-dependent hydrocephalus after spontaneous subarachnoid hemorrhage

IntroductionSubarachnoid hemorrhage (SAH) is one of the most frequent neurosurgical emergencies, most of them due to intracranial aneurysm rupture. Hydrocephalus is a prevalent complication with a high rate of complications. The aims of this study are to identify predictors of shunt-dependent hydrocephalus following aneurysmal SAH and to quantify the complications arising from ventriculoperitoneal shunts. MethodsThis study is about an observational retrospective analytic study of the patients with spontaneous SAH admitted to Miguel Servet Universitary Hospital between 2017 and 2022. Patients’ clinical and radiological characteristics, type of treatment, diagnoses and treatment of hydrocephalus, complications of ventriculoperitoneal shunts and mortality are some of the data achieved in this study. A descriptive study of these variables has been done and, subsequently, the most relevant variables have been statistically analyzed to identify patients with increasing risk of shunting for hydrocephalus. This study was authorized by the Ethics Committee prior to its elaboration. ResultsA total of 359 patients with spontaneous SAH were admitted to Miguel Servet Universitary Hospital between 2017 and 2022, with an intrahospitalary death rate of 25,3%. 66,3% of the total of patients with SAH were due to intracranial aneurysm rupture (n = 238). 45,3% of the patients with aneurysmal SAH required an external ventricular drain (EVD) to treat acute hydrocephalus. 11,7% (n = 28) developed a shunt-dependent hydrocephalus. Statistical significance was found between shunt-dependent hydrocephalus and the following: high score in modified Fisher scale and placement of EVD. The mean interval from EVD to ventriculoperitoneal shunt placement was 26,1 days. The mean rate of reoperation of patients after shunt was 17,7%, mostly due to infection. ConclusionsThe most significant risk factor for shunt-dependent hydrocephalus after aneurysmal SAH was high Fisher grade and previous need of EVD. Shunt infections is the main cause of shunt reoperation. Early shunt placement in selected patients might reduce the rate of infectious complications.

Decoding the Cell Atlas and Inflammatory Features of Human Intracranial Aneurysm Wall by Single-Cell RNA Sequencing.

Intracranial aneurysm (IA) is common and occasionally results in life-threatening hemorrhagic strokes. However, the cell architecture and inflammation in the IA dome remain less understood. Single-cell RNA sequencing was performed on ruptured and unruptured human IA domes for delineating the cell atlas, gene expression perturbations, and inflammation features. Two external bulk mRNA sequencing-based data sets and serological results of 126 patients were collected for validation. As a result, a total of 21 332 qualified cells were captured. Vascular cells, including endothelial cells, smooth muscle cells, fibroblasts, and pericytes, were assigned in extremely sparse numbers (4.84%), and were confirmed by immunofluorescence staining. Pericytes, characterized by ABCC9 and HIGD1B, were identified in the IA dome for the first time. Abundant immune cells were identified, with the proportion of monocytes/macrophages and neutrophils being remarkably higher in ruptured IA. The lymphocyte compartment was also thoroughly categorized. By leveraging external data sets and machine learning algorithms, macrophages were robustly associated with IA rupture, irrespective of their polarization status. The single nucleotide polymorphism rs2280543, which is identified in East Asian populations, was associated with macrophage metabolic reprogramming through regulating TALDO1 expression. This study provides insights into the cellular architecture and inflammatory features in the IA dome and may enlighten novel therapeutics for unruptured IA.