ReviewFrontiers in neurology2025
Research progress in medical imaging for intracranial aneurysms: technological advances in diagnosis, management, and clinical integration.
Review in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Artificial Intelligence for Intracranial Aneurysm Detection, Rupture-Risk Prediction, and Prognosis Evaluation: Recent Advances and Clinical Integration.Diagnostics (Basel, Switzerland) · 2026Review
- Interventional Embolization Under Multifactorial Coupling: Mechanisms of Embolic-Agent Distribution and Feasibility of Closed-Loop Automatic Injection.Annals of biomedical engineering · 2026Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intracranial aneurysms (IAs) represent a significant cerebrovascular disorder that has attracted considerable scrutiny due to the elevated rates of mortality and morbidity associated with their rupture. The ongoing evolution of medical imaging techniques has led to the emergence of non-invasive imaging options, including Computed Tomography Angiography (CTA), Magnetic Resonance Angiography (MRA), and Digital Subtraction Angiography (DSA). These modalities are essential for the early detection, risk evaluation, and therapeutic strategy formulation for IAs. Recently, the integration of artificial intelligence (AI) and three-dimensional (3D) reconstruction technologies has further improved the precision and efficiency of imaging diagnostics. This review provides a systematic assessment of advancements in imaging diagnostic methods for IAs, covering both established and novel imaging techniques, AI-enhanced diagnostics, hemodynamic evaluations, the role of imaging in treatment, and prospective development directions. The objective is to furnish thorough references for clinical diagnosis and investigation in this vital field of medicine.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.