Pipeline Embolization Device for Treatment of Craniocervical Internal Carotid Artery Dissections: Report of 3 Cases

Tubridge Flow Diverter for the Treatment of Unruptured Dissecting Cerebral Aneurysms

BACKGROUND

The Tubridge flow diverter is a device widely used in China aimed at reconstructing parent artery and occluding complex aneurysm. The experience of the Tubridge in treating unruptured vertebrobasilar artery dissecting aneurysms is still limited. In this study, we aimed to evaluate the safety and efficacy of the Tubridge flow diverter for the treatment of vertebrobasilar artery dissecting aneurysms.

METHODS

We reviewed the clinical records of aneurysms treated with the Tubridge flow diverter between 2019 and 2021 in a national cerebrovascular disease center. Therapeutic process, occlusion rate, and clinical outcome were compared.

RESULTS

Twenty-three patients with 23 vertebrobasilar artery aneurysms were identified. The results showed that the mean length and mean maximal width were 15.14 and 9.14 mm, respectively, in the vertebrobasilar artery. Twenty-four Tubridge flow diverters were successfully implanted without unfold failure. A complete occlusion rate at the last angiographic follow-up was achieved in 78.26% of vertebrobasilar artery aneurysms. Fifteen branch arteries were covered, and only 1 branch artery disappeared at follow-up. Mild asymptomatic cerebral infarction occurred in 3 patients (13.04%); intracranial hemorrhage was not found in the patients.

CONCLUSIONS

Our preliminary experience suggests that the Tubridge flow diverter might be a safe and effective tool for dissecting cerebral aneurysms. Branch arteries were well protected and mild asymptomatic cerebral infarction occurred in some patients. Adequate evidence is required to clear the definite indications and complications in a multicenter randomized controlled trial with a long-term follow-up.

Machine learning to predict in-stent stenosis after Pipeline embolization device placement

Background

The Pipeline embolization device (PED) is a flow diverter used to treat intracranial aneurysms. In-stent stenosis (ISS) is a common complication of PED placement that can affect long-term outcome. This study aimed to establish a feasible, effective, and reliable model to predict ISS using machine learning methodology.

Methods

We retrospectively examined clinical, laboratory, and imaging data obtained from 435 patients with intracranial aneurysms who underwent PED placement in our center. Aneurysm morphological measurements were manually measured on pre- and posttreatment imaging studies by three experienced neurointerventionalists. ISS was defined as stenosis rate >50% within the PED. We compared the performance of five machine learning algorithms (elastic net (ENT), support vector machine, Xgboost, Gaussian Naïve Bayes, and random forest) in predicting ISS. Shapley additive explanation was applied to provide an explanation for the predictions.

Results

A total of 69 ISS cases (15.2%) were identified. Six predictors of ISS (age, obesity, balloon angioplasty, internal carotid artery location, neck ratio, and coefficient of variation of red cell volume distribution width) were identified. The ENT model had the best predictive performance with a mean area under the receiver operating characteristic curve of 0.709 (95% confidence interval [CI], 0.697–0.721), mean sensitivity of 77.9% (95% CI, 75.1–80.6%), and mean specificity of 63.4% (95% CI, 60.8–65.9%) in Monte Carlo cross-validation. Shapley additive explanation analysis showed that internal carotid artery location was the most important predictor of ISS.

Conclusion

Our machine learning model can predict ISS after PED placement for treatment of intracranial aneurysms and has the potential to improve patient outcomes.

Endovascular treatment of blunt injury of the extracranial internal carotid artery: the prospect and dilemma

The extracranial internal carotid artery (ICA) refers to the anatomic location that reaches from the common carotid artery proximally to the skull base distally. The extracranial ICA belongs to the C1 segment of the Bouthillier classification and is at considerable risk for injury. Currently, the understanding of endovascular treatment (EVT) for blunt injury of the extracranial ICA is limited, and a comprehensive review is therefore important. In this review, we found that extracranial ICA blunt injury should be identified in patients presenting after blunt trauma, including classical dissection, pseudoaneurysm, and stenosis/occlusion. Computed tomography angiography (CTA) is the first-line method for screening for extracranial ICA blunt injury, although digital subtraction angiography (DSA) remains the "gold standard" in imaging. Antithrombotic treatment is effective for stroke prevention. However, routine EVT in the form of stenting should be reserved for patients with prolonged neurological symptoms from arterial stenosis or considerably enlarged pseudoaneurysm. Endovascular repair is now emerging as a favored therapeutic option given its demonstrated safety and positive clinical and radiographic outcomes.