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ARISE I Consensus Review on the Management of Intracranial Aneurysms
Stavropoula I Tjoumakaris1, Ricardo Hanel2, J Mocco3
1Department of Neurosurgery, Thomas Jefferson University at Sidney Kimmel Medical College, Philadelphia, PA (S.I.T., K.E.N.).
Stroke
|April 22, 2024
Summary
Experts recommend artificial intelligence and nationwide data collection to improve the management of intracranial aneurysms (IAs). This collaborative approach aims to enhance diagnosis, monitoring, and rupture risk prediction for better patient outcomes.
Area of Science:
- Neurology and Neurosurgery
- Cerebrovascular Diseases
- Medical Device Technology
Background:
- Intracranial aneurysms (IAs) present significant morbidity and mortality challenges.
- Current treatment options lack definitive consensus, necessitating improved management strategies.
- A roundtable discussion convened experts to address best practices and novel approaches for IA management.
Framework:
- Experts convened to discuss clinical trials, preclinical research, management options, screening, monitoring, and novel device technologies for IAs.
- The discussion focused on improving outcomes for patients with intracranial aneurysms.
- Academia, industry, and federal regulators collaborated to advance IA care.
Implementation:
- Incorporation of artificial intelligence (AI) for aneurysm growth tracking and rupture risk prediction was suggested.
- Nationwide data collection of unruptured IA images is recommended for machine learning algorithm development.
- Support for centers of excellence in preclinical trials for genetics, cellular composition, and radiogenomics was emphasized.
Implications:
- AI and national registries can enhance IA diagnosis and monitoring.
- Multicenter collaborative efforts involving high-volume centers are crucial for clinical and preclinical research.
- Collaboration between academia, regulators, and industry is paramount for advancing IA management and the field.
