The Neuroradiology Journal

The flow diversion treatment of aneurysms located distal to the Circle of Willis has recently increased in frequency. We conducted a systematic review and meta-analysis of the clinical and radiological outcomes of flow diverter (FD) embolization in treating M1 aneurysms.

PubMed, Web of Science, Ovid Medline, Ovid Embase, and Scopus were searched up to May 2024 using the Nested Knowledge platform. We included studies assessing the long-term clinical and radiological outcomes for M1 aneurysms. Results of FDs classified as Pipeline Embolization Devices (PED) versus other types of FDs. Angiographic occlusion rates, ischemic and hemorrhagic complications, and favorable clinic outcomes were included. All data were analyzed using R software version 4.2.2.

Thirteen studies with 112 total patients (58 patients for PED and 54 patients for other FD devices) were included in our meta-analysis. The overall adequate (complete + near-complete) occlusion rates were 85.1%. The complete occlusion rate was higher with PED than with other FD devices (72.9% PED and 41.6% for non-PED FDs, respectively, p-value <.01). The ischemic complications were 9.9% and 9.0% for the PED and non-PED groups, respectively (p-value = .89). The overall modified Rankin Scale 0–2 was 100% for the non-PED and 97.1% for the PED group (p-value = .51). In-stent stenosis rate was 7.5% for PED devices compared to 2.6% in the non-PED group (p-value = .35).

This relatively small meta-analysis showed high rates of adequate and complete occlusion in FD treatment of M1 segment aneurysms, with favorable safety profiles. PEDs were associated with higher rates of complete aneurysm occlusion compared to other types of FDs.

Previous research has shown promising results for treating intracranial aneurysms (IAs) with a flow redirection endoluminal device (FRED). In this systematic review and meta-analysis, we aimed to assess the safety and efficacy of this device by providing pooled estimates using the data from previous studies.

A systematic literature search of Web of Sciences, PubMed, Scopus, and Embase was performed until October 8th, 2023. After selecting the final articles, relevant data were extracted. Parameters relating to safety and efficacy were pooled using STATA software. Heterogeneity was assessed using I-squared and Cochran’s Q. Funnel plots and Egger’s regression methods were used to evaluate publication bias. Sensitivity analysis was also performed using the leave-one-out method.

The data of 37 studies were used for meta-analysis. The rates of immediate adequate occlusion and complete occlusion were 0.51 (95% CI: 0.31–0.71) and 0.34 (95% CI: 0.16–0.53), respectively, while the rates of the adequate and complete occlusion at the latest follow-up were 0.90 (95% CI: 0.84–0.94) and 0.75 (95% CI: 0.65–0.84), respectively. The periprocedural complications rate was 0.04 (95% CI: 0.03–0.06), and the overall complications rate was 0.12 (95% CI: 0.09–0.15). The rate of good functional outcome was 0.99 (95% CI: 0.99–1.00) and the successful implantation rate was 1.00 (95% CI: 1.00–1.00). There was substantial heterogeneity among the reports for most of the evaluated parameters.

FRED had high safety and efficacy in treating IAs, as evidenced by its high occlusion and low complication rates.

The current study aims to explore the utility of novel synthetic MRI-derived quantitative parameters including myelin-correlated volume (MyC) in identifying active MS lesions without injecting gadolinium contrast.

43 MS patients underwent institutional MS protocol including 3D FLAIR and post-contrast 3D T1VIBE sequence on a 1.5 T MR Scanner in addition to synthetic MRI sequence. MS plaques were categorised into enhancing (C) and non-enhancing (N) lesions. They were also sub-categorised based on location into periventricular WM lesions (P), deep WM lesions (D), infratentorial lesions (I) and cortical-juxtacortical (C) lesions. ROIs were placed on Synthetic FLAIR images in MS lesions and quantitative parameters of R1, R2, PD and myelin-correlated volume (MyC) obtained. Sensitivity and specificity for various cut-off values to differentiate enhancing from non-enhancing multiple sclerosis lesions were calculated by performing ROC curve analysis and logistic regression analysis.

Contrast enhancing lesions demonstrated significantly higher mean R1, R2 values and lower mean PD values in comparison to non-enhancing lesions (p < 0.05) but with limited specificity. Region-wise analysis revealed high AUC values for mean R1 and R2 at cortical-juxtacortical lesions (p < 0.001) followed by periventricular lesions (p < 0.003) for differentiating enhancing from non-enhancing lesions with no significant contribution from MyC and PD values.

Synthetic MRI-derived quantitative parameters of mean R1, R2, MyC and PD hold value in differentiating contrast enhancing and non-enhancing MS lesions without administering gadolinium-based contrast agent. However, the current study did not achieve significant specificity for establishing the same.

To investigate the prognostic implication (mortality at 3 months) of acute kidney injury (AKI) in acute ischemic stroke treated with mechanical thrombectomy (MT).

A literature search was performed using PubMed/OVID/Cochran’s CENTRAL database (time frame: inception to January 2023). Study characteristics, patient status, clinical outcomes, AKI incidence, and sample size were recorded. The exclusion criteria were non-English literature, no human subjects, and <10 patients as the sample size. Studies were assessed using the MINORS/GRADE system. Meta-analysis and meta-regression with a random-effects model were performed.

3314 studies were retrieved. After applying the exclusion criteria, the final population included of 18/3314 studies (0.5%). Among them, only 6/18 (33.3%) studies reported results in two separate groups (AKI vs non-AKI), allowing for inference statistics for a total population of 3229 (538.6 ± 403.7). The I^2 was 34.6 and Q’s Cochrane was 7.80. The pooled odds ratio (OR) for mortality at 3 months in patients with AKI was 5.8 (95% confidence interval [95% CI] 95% CI 3.62 to 9.52). Leave-one-out meta-analysis showed no significant sources of heterogeneity. In the meta-regression, diabetes prevalence was associated with a higher mortality rate (OR 1.14, 95% CI 1.03 to 1.28), and lower age and a small amount of contrast media were negatively correlated (0.91 [95% CI 0.83 to 0.99] and OR 0.97 [95% CI 0.94 to 1.00], respectively).

AKI was significantly associated with the mortality rate in MT-treated stroke patients (OR 5.8 [95% CI 3.62 to 9.36]).

Stroke is a major cause of morbidity and mortality worldwide. Despite advances in acute treatments, timely intervention remains crucial. This study assessed stroke knowledge in Malta to identify gaps that could contribute to treatment delays.

A mixed methods approach was used, starting with qualitative interviews of stroke patients, relatives, and bystanders, followed by a quantitative survey among the general Maltese population and healthcare workers. The online survey included demographics, stroke knowledge, and stroke response questions. Data were analysed using descriptive and inferential statistics to identify knowledge gaps and influencing factors.

The study surveyed 1872 participants, representing the Maltese population. Significant knowledge gaps were found in stroke symptoms, risk factors, and appropriate responses. Younger participants, males, non-Maltese, urban residents, those with higher education, and higher-income individuals showed better stroke knowledge and response. Healthcare workers scored higher than the general public. A strong positive correlation was found between stroke knowledge and appropriate response actions.

The study highlights the need for targeted educational interventions to improve stroke awareness and response, especially among older adults, women, rural residents, and lower-income groups. Recommendations include comprehensive public education campaigns, culturally tailored materials, and ongoing professional development for healthcare workers. Addressing these gaps could enhance stroke prevention and management, reducing stroke-related morbidity and mortality.

Traumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, with epidural hematoma (EDH) being a severe consequence. This study focuses on identifying factors predicting EDH volume changes in TBI patients and developing a machine learning (ML) model to predict EDH expansion.

The study includes patients with traumatic EDH between 2019 and 2021. Data were gathered from CT scans performed at the time of admission and 6 hours later, and subsequently analyzed. The data was divided into three cohorts: all cases, adults, and pediatrics. To predict EDH volume changes, we used Logistic Regression (LR), Random Forest (RF), XGBoost, and K-Nearest Neighbors (KNN) models. Data was divided into an 80% training set and a 20% test set. Through a rigorous process of parameter optimization and K-fold cross-validation, focusing on the area under the receiving operating curve (AUROC), we identified the best models in all cohorts. The best models were evaluated on the test sets, reporting AUROC, recall, precision, and accuracy using the youden index threshold.

Results show that age, initial EDH volume, swirl sign, intra-hematoma air bleb, contusion, otorrhagia, subarachnoid hemorrhage, location, and other side extra-axial hematoma have significant effects on changing EDH volume. Based on test AUROC, the best models were RF for adults (82.4%), KNN for pediatrics (90%), and LR for all cases (81.6%).

In this study, we identified key features for predicting EDH expansion as well as developing ML models. Using high sensitive models, can assist clinicians in identifying high-risk patients early. This allows for enhanced monitoring and timely intervention, improving patient outcomes by facilitating quicker decisions for follow-up imaging or treatment.

Mechanical thrombectomy (MT) is the treatment standard for large vessel occlusion (LVO) stroke. Under current guidelines, only patients with smaller ischemic core volumes (ICV) are eligible for MT. Thus, it is of interest to quickly estimate ICV in stroke patients. The Los Angeles Motor Scale (LAMS) is a validated tool used to assess stroke severity directly in the field. This study aims to determine whether LAMS score is also associated with ICV, as defined by the CBF <30% volume on CT perfusion imaging.

We performed a retrospective, multicenter cohort study of consecutive patients presenting with LVO stroke from 9/1/2017 to 10/1/2023. The inclusion criteria were patients with (1) stroke caused by large vessel occlusion confirmed on CTA and (2) diagnostically adequate, multimodal pretreatment CT imaging. Demographic, clinical, and imaging data was collected through manual chart review. Both univariate and multivariate analyses were applied to assess associations. A p-value <.05 was considered significant.

A total of 283 patients (median age: 69, IQR: 61–78) were included in the study. On multivariate logistic regression analysis, we found that lower admission LAMS score (adjusted OR: 0.511, 95% CI: 0.313–0.834, p = .007) was independently associated with a CBF <30% volume of less than 50cc.

Admission LAMS is an independent predictor of a CBF <30% volume of less than 50cc. This demonstrates that LAMS can be used to estimate ICV, which will aid in the early triaging of LVO patients to thrombectomy-capable centers.

Perivascular spaces (PVS) are interstitial fluid-filled spaces surrounding blood vessels traversing the deep gray nuclei and white matter of the brain. These are commonly encountered on CT and MR imaging and are generally asymptomatic and of no clinical significance. However, occasional changes in the size of focal PVS, for example, when enlarging, may mimic pathologies including neoplasms and infections, hence potentially confounding radiological interpretation. Given these potential diagnostic issues, we sought to better characterize common clinical and imaging features of focal PVS demonstrating size fluctuations.

Upon institutional approval, we retrospectively identified 4 cases demonstrating PVS with size changes at our institution. To supplement our cases, we also performed a literature review, which identified an additional 14 cases. Their clinical and imaging data were analyzed to identify characteristic features.

Of the 18 total cases (including the 4 institutional cases), 10 cases increased and 8 decreased in size. These focal PVS ranged from 0.4–4.5 cm in size. Whereas a decrease in size did not represent a diagnostic issue, focal increase in size of PVS led to concerning differential diagnoses in at least 30% of the radiology reports. These enlarging PVS were most found in the basal ganglia and temporal lobe, and in patients with previous brain radiation treatment.

Focal size change of PVS can occur, especially years after brain radiation treatment. Being cognizant of this benign finding is important to consider in the differential diagnosis to avoid undue patient anxiety or unnecessary medical intervention.