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Brain Aneurysm clinical trials at UCLA

2 in progress, 1 open to eligible people

Showing trials for
  • Aneurysm Genetic Risk in Patients With QIB Changes

    open to eligible people ages 18 years and up

    Intracranial aneurysm rupture is a leading cause of hemorrhagic strokes which carry high mortality and disability rates as well as high healthcare costs. Unruptured intracranial aneurysms (UIA) are common in the general population, occurring in 1-2% of individuals. Previous studies have shown that UIA growth and rupture are strongly associated with each other, with growing aneurysms 9-12 times more likely to rupture, and nearly all aneurysms growing prior to rupture. Thanks to advanced medical imaging, UIA are now more and more often detected incidentally. However not all aneurysms qualify for preventive surgical or interventional procedures according to current International Study of Unruptured Intracranial Aneurysms (ISUIA) guidelines, and some must therefore be monitored for growth. Current guidelines are based heavily on size, an inconsistent predictor of future growth. To improve management strategies for individual patients and more comprehensively assess aneurysm risk, the investigators propose to identify risk factors related to growth. Aneurysm etiology is multifactorial, with both genetic and environmental contributions to aneurysm formation, growth, and rupture. Exploring new risk factors based on aneurysm natural history and understanding the mechanisms underlying aneurysm rupture have been extensive research areas. As previous studies have shown that quantitative imaging biomarkers (QIB) can provide a more accurate assessment of the characteristics of aneurysms, the investigators propose a combined study which identifies QIB associated with aneurysm growth to identify factors related to growth.

    Los Angeles, California

  • Prediction of Outcomes After Surgery for Unruptured Intracranial Aneurysms

    Sorry, not currently recruiting here

    Accurate preoperative identification of patients at high risk for adverse outcomes would be clinically advantageous, as it would allow enhanced resource preparation, better surgical decision-making, enhanced patient education and informed consent, and potentially even modification of certain modifiable risk factors. The aim of the Prediction of adverse events after microsurgery for intracranial unruptured aneurysms (PRAEMIUM) study is therefore to develop and externally validate a clinically applicable, robust ML-based prediction tool based on multicenter data from a range of international centers.

    Los Angeles, California and other locations

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