Citations

Radioiodine ablation therapy is commonly used for patients with well-differentiated thyroid cancer. False-positive radioiodine uptake in benign cystic lesions on post-therapy SPECT/CT presents a recognized diagnostic challenge. Here, we present the case of a 33-year-old woman who underwent total thyroidectomy, followed by I-131 radioiodine therapy. Her post–I-131 therapy SPECT/CT revealed incidental radioiodine uptake in a diaphragmatic mesothelial cyst, prompting further investigation. She subsequently underwent a dedicated liver MRI and excision biopsy, both of which were negative for thyroid cancer metastasis. This case highlights the importance of identifying benign sources of radioiodine uptake to avoid unnecessary interventions.

Cerebrospinal fluid venous fistulas (CSFVF) can lead to spontaneous intracranial hypotension, causing debilitating symptoms in patients. The transvenous embolization technique has been developed to occlude leakage sites via an endovascular approach. However, the spinal venous anatomy remains relatively unfamiliar to many neurointerventionalists. This technical video presents a swine model designed to train physicians in navigating the spinal venous system, performing embolization injections, observing their spread, and testing new embolization systems for treating CSFVF. Although there are slight anatomical differences, the spinal venous system in swine closely resembles that of humans, including its navigability and employing liquid embolic agents. We successfully embolized multilevel spinal vasculature that can potentially drain into a fistula formation, without any complications.

Abstract Background Percutaneous ablation of parathyroid adenomas provides a minimally invasive treatment option for primary hyperparathyroidism. However, the overall performance of this technique remains underexplored. This meta-analysis evaluates the effectiveness and safety of various ablation techniques for parathyroid adenomas. Methods Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, multiple databases, including Ovid MEDLINE and Cochrane, were systematically searched. Studies that provided separate data for radiofrequency (RF), microwave ablation (MWA), and ethanol ablation technique were included. Outcomes of interest were changes in serum calcium, PTH, and phosphorus levels, along with normocalcemia rates at 6 to 12 months after ablation. Safety outcomes included transient hoarseness, permanent hoarseness, severe hemorrhage, major complications, and severe hypocalcemia. Data were pooled using a random-effects model, with pooled prevalence and 95% CIs calculated. Also, the publication bias was assessed with Egger's test for each outcome measure. Results Twenty studies (815 patients) were included. The posttreatment normocalcemia rate at 6 to 12 months was 85.6% (95% CI, 80.48-90.72). Serum PTH and calcium levels significantly decreased, with mean differences of 101.49 pg/mL (95% CI, 73.50-129.48) and 0.39 mmol/L (95% CI, 0.34-.45), respectively. Permanent hoarseness and major complications were rare, with incidences of 0.28% (95% CI, 0.00-1.05) and 0.31% (95% CI, 0.00-1.09). The safety and efficacy outcomes of RF, MWA, and ethanol ablation were comparable. Conclusion Our findings indicate that percutaneous ablation of parathyroid adenomas is safe and effective within the first year of the treatment. Additionally, they suggest that RF, MWA, and ethanol ablation techniques can each be employed depending on patients' needs without particular limitations.

Background Carotid artery tortuosity (CAT) may complicate mechanical thrombectomy (MT), potentially causing delays or preventing recanalization. However, the relationship between CAT and MT outcomes remains largely unexplored. This systematic review aims to evaluate the existing evidence regarding the impact of CAT on MT outcomes. Methods Following PRISMA guidelines, a systematic literature search was conducted using MEDLINE, EMBASE, Web of Science, Cochrane, and Scopus databases. Studies providing data for MT outcomes based on CAT status were included. Outcomes of interest included successful recanalization, first-pass efficacy (FPE), procedure time, functional independence, and procedure-related complications. Results Our search identified nine studies with 2737 patients. Three studies employed DSA to assess tortuosity, whereas the remaining six studies preferred CTA. In seven studies, CAT was associated with prolonged procedure times. In five studies, successful recanalization rates were significantly lower in CAT patients as compared to patients with non-tortuous arteries. Two studies showed that CAT could alter FPE or successful recanalization rates of first-line MT techniques. No study found statistically significant relationships between CAT and functional independence. Three studies examined the association between CAT and safety outcomes, and only one study found increased intracranial hemorrhage rates in patients with CAT. All nine studies employed different CAT criteria. Conclusions Despite the vast MT literature, the number of studies reporting CAT status remains low. CAT may affect procedure time and technical outcomes of MT. Therefore, employing a uniform CAT definition and reporting CAT more frequently can provide insights into management of patients with acute large vessel occlusions.

Background The impact of certain comorbidities on mechanical thrombectomy (MT) outcomes remains largely unexplored. Diabetes mellitus (DM) and admission hyperglycemia have been associated with poor clinical outcomes for patients treated with MT. In this study, we sought to investigate the effects of DM and admission hyperglycemia on MT outcomes. Methods Following PRISMA guidelines, a systematic literature search was conducted in Medline, Embase, Scopus, and Web of Science databases. Data regarding successful recanalization (modified Thrombolysis in Cerebral Infarction [mTICI] ≥2b), functional independence (modified Rankin Scale [mRS] 0–2), excellent outcomes (mRS 0–1), symptomatic intracranial hemorrhage (sICH), and mortality were extracted from the included studies. The pooled odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were calculated using random effects model. Results Twenty-one studies comprising 9708 patients were included. A total of 2311 patients (24%) had a history of DM, and 2026 patients (21%) had admission hyperglycemia. Admission hyperglycemia was associated with significantly lower odds of mTICI ≥2b (OR = 0.7, 95% CI = 0.55–0.89), mRS 0–2 (OR = 0.47, 95% CI = 0.41–0.53), and mRS 0–1 (OR = 0.43, 95% CI = 0.34–0.55) as compared to normoglycemic state. Patients with hyperglycemia had significantly higher rates of sICH (OR = 2.05, 95% CI = 1.66–2.54) and mortality (OR = 1.99, 95% CI = 1.58–2.52) than normoglycemic patients. Diabetes mellitus was associated with significantly high rates of mortality (OR = 1.74, 95% CI = 1.31–2.3) and lower rates of mRS 0–2 (OR = 0.60, 95% CI = 0.48–0.76) in sensitivity analyses. Conclusion Our results indicate that admission blood glucose levels and DM can negatively affect MT outcomes. Further research should focus on optimizing MT outcomes for these patients.

ABSTRACT As the number of cerebral aneurysms treated with flow diverters continues to increase, it is important to understand what factors influence not only thrombus formation within the aneurysm cavity but also fibrin accumulation across the device and its associated disruption and blockage of the inflow stream. Both processes contribute to the eventual occlusion of the aneurysm or its continued patency and incomplete occlusion which may require future re‐treatment. To investigate fibrin accumulation on flow diverters placed across the neck of cerebral aneurysms, a previously developed computational model that couples flow and fibrin dynamics is used in combination with experimental in vitro models of cerebral aneurysms treated with flow diverters. Fibrin accumulation was previously investigated in four glass models of cerebral aneurysms with varying parent artery geometries placed in a flow loop at different flow rates. Corresponding computational models were constructed and compared with the experimental findings. The computational model based on fibrin production stimulated from flow shear stress and subsequent adhesion to device wires was able to reproduce and explain the fibrin accumulation patterns observed in the experimental aneurysms treated with flow diverters. Specifically, these models indicated that increasing vessel curvature, flow rate, and thrombin concentration induced faster fibrin accumulation and associated aneurysm inflow disruption and blockage. The models described and tested in this paper are valuable to understand the detailed mechanisms leading to aneurysm occlusion and healing or incomplete occlusions after treatment with flow diverting devices.

Background As the use of flow diverters has expanded in recent years, predicting successful outcomes has become more challenging for certain aneurysms. Objective To provide neurointerventionalists with an understanding of the available machine learning algorithms for predicting the success of flow diverters in occluding aneurysms. Methods This study followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and the four major medical databases (PubMed, Embase, Scopus, Web of Science) were screened. The study included original research articles that evaluated the predictive abilities of various machine learning algorithms for determining the success of flow diverters in achieving aneurysm occlusion. Results Five studies out of 217 were included based on our criteria. The included studies used various variables (patient demographics, aneurysm and parent artery characteristics, flow diverter and hemodynamic-related features, and angiographic parametric imaging) to predict flow diverter treatment outcomes. The machine learning algorithms used, along with their respective accuracy rates, were as follows: logistic regression (61% and 85%), support vector machine (88%), Gaussian support vector machine (90%), linear support vector machine (85%), decision tree (80%), random forest (87%), k-nearest neighbors (83% and 85%), XGBoost (87%), CatBoost (86%), deep neural networks (77.9%), and recurrent neural networks (74%).Two studies trained the machine learning models with both all features and the most significant features. Both studies observed that the accuracy of machine learning models decreased by removing the insignificant features. Conclusion The current literature indicates that machine learning algorithms can be trained to predict the success of flow diverters with an accuracy of up to 90%.

ABSTRACT The mechanisms leading to aneurysm occlusion after treatment with flow‐diverting devices are not fully understood. Flow modification induces thrombus formation within the aneurysm cavity, but fibrin can simultaneously accumulate and cover the device scaffold, leading to further flow modification. However, the interplay and relative importance of these processes are not clearly understood. A computational model of fibrin accumulation and flow modification after flow diversion treatment of cerebral aneurysms has been developed under the guidance of in vitro experiments and observations. The model is based on the loose coupling of flow and transport‐reaction equations that are solved separately by independent codes. Interaction or reactive terms account for thrombin production from prothrombin stimulated by thrombogenic metallic wires and inhibition by antithrombin as well as fibrin production from fibrinogen stimulated by thrombin and flow shear stress, and fibrin adhesion to device wires and already attached fibrin. The computational model was demonstrated and tested on idealized vessel and aneurysm geometries. The model was able to reproduce the salient features of fibrin accumulation after the deployment of flow‐diverting devices in idealized in vitro models of cerebral aneurysms. Namely, fibrin production in regions of high shear stress, initial accumulation at the inflow zone, and progressive occlusion of the device and corresponding flow attenuation. The computational model linking flow dynamics to fibrin production, transport, and adhesion can be used to investigate and better understand the effects that lead to fibrin accumulation and the resulting aneurysm inflow reduction and intra‐aneurysmal flow modulation.

Background The choice of angiography system could influence the outcomes of mechanical thrombectomy (MT) in the treatment of acute ischemic stroke (AIS), but its impact is not yet well understood. This study aims to compare the clinical and technical outcomes of MT performed with single plane versus biplane angiography systems. Method We conducted a systematic review and meta-analysis, following PRISMA guidelines, by searching PubMed, Embase, Web of Science, and Scopus to include studies on patients with AIS who underwent MT with either single plane or biplane angiography up to May 4, 2024. The primary outcome was a favorable outcome defined as a modified Rankin Scale (mRS) score of 0–2 at 90 days after the procedure. Data were analyzed using a random-effects model and heterogeneity was assessed using the I2 test and Q statistics. Results Five studies with a total of 1562 patients were analyzed. Of these, 68.4% were treated with biplane systems and 31.6% with single plane systems. Single plane angiography was associated with a significantly higher rate of favorable outcomes (OR 1.43; 95% CI 1.13 to 1.80; P<0.01). There were no significant differences in successful recanalization, periprocedural complications, procedure time, total fluoroscopy time, or contrast volume between the two systems. Conclusion While single plane angiography systems may offer slightly better outcomes in MT for AIS, both systems appear equally effective in most clinical and technical perspectives, suggesting that system selection may be more dependent on availability and procedural requirements rather than inherent superiority. Our findings may encourage clinicians to use single-plane angiography in settings where the biplane angiography suite availability is limited, but it should be noted that this observation may have been influenced by selection bias, particularly since the larger studies included in our meta-analysis did not observe this effect in adjusted analyses for potential confounder factors.