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Abstract WP36: CTA versus DSA for the Detection of Mycotic Aneurysms in Infective Endocarditis

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page AWP36-AWP36, February 1, 2025. Background:Up to 5% of patients with infective endocarditis (IE) develop intracranial mycotic aneurysms (MA) with nearly 25% of these patients having multiple intracranial aneurysms. Therefore, accurate diagnosis of intracerebral aneurysms is critical.

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Abstract 81: New Insights into the Hemodynamic Environment Inducing Cerebral Aneurysm Growth: the NHO CFD ABO Study

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page A81-A81, February 1, 2025. Background:Cerebral aneurysm rupture has a poor prognosis, and a growing aneurysm is prone to rupture. Although hemodynamics is thought to play an important role in aneurysm growth, it is not well understood what hemodynamic environments are involved.

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Abstract WMP112: Elimination of Senescent Cells with Immune Checkpoint Inhibitor Prevents Intracranial Aneurysm Rupture

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page AWMP112-AWMP112, February 1, 2025. Introduction:Clinical studies have shown an association between aging and the risk of intracranial aneurysm rupture. We also confirmed that genetic elimination of senescent cells prevented aneurysm rupture. vs. 100%,P<0.05, Fig.

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Abstract 77: Three Dimensional Aneurysm Wall Enhancement Improves the Prediction of Symptomatic Presentation: A Multicenter Study

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page A77-A77, February 1, 2025. Background:Managing unruptured intracranial aneurysms (IAs) involves balancing procedural risks with the long-term risk of rupture. Aneurysm wall enhancement (AWE) has been associated with aneurysm instability and symptomatic presentation.

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Abstract TP377: A Biomarker Based on Aneurysm Wall Enhancement and Blood Gene Expression to Identify Symptomatic Intracranial Aneurysms

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page ATP377-ATP377, February 1, 2025. Introduction:Intracranial aneurysms (IAs) are weak outpouchings on cerebral vessels that can rupture, causing subarachnoid hemorrhage. With the addition of the gene expression features, we found the PCA explained variance to be 41% and 26%.

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Abstract DP23: Risk factor analysis and novel prediction system for intracranial aneurysm growth based on artificial intelligence

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page ADP23-ADP23, February 1, 2025. Objective:The growth of unruptured intracranial aneurysms (IAs) is regarded as a critical precursor to aneurysmal rupture. Accurately predicting aneurysm growth is crucial for appropriate therapeutic interventions to prevent rupture in high-risk aneurysms.

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Abstract TP162: Artificial Intelligence-Based Approach for Localization of Intracranial Aneurysms on Head MRI Images

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page ATP162-ATP162, February 1, 2025. Background:Detection of intracranial aneurysms (IAs) is a time consuming and error prone process. The definition of the correct diagnosis of the location was that the center of the aneurysm diagnosed by the AI system is within the area of the IA of ground truth.