• J. Neurol. Neurosurg. Psychiatr. · Feb 2021

    Observational Study

    Location of intracranial aneurysms is the main factor associated with rupture in the ICAN population.

    • Olivia Rousseau, Matilde Karakachoff, Alban Gaignard, Lise Bellanger, Philippe Bijlenga, Pacôme Constant Dit Beaufils, Vincent L'Allinec, Olivier Levrier, Pierre Aguettaz, Jean-Philippe Desilles, Caterina Michelozzi, Gaultier Marnat, Anne-Clémence Vion, Gervaise Loirand, Hubert Desal, Richard Redon, Pierre-Antoine Gourraud, Romain Bourcier, and ICAN Investigators.
    • INSERM, CIC 1413, Clinique des données, University Hospital Centre Nantes, Nantes, Pays de la Loire, France.
    • J. Neurol. Neurosurg. Psychiatr. 2021 Feb 1; 92 (2): 122-128.

    Background And PurposeThe ever-growing availability of imaging led to increasing incidentally discovered unruptured intracranial aneurysms (UIAs). We leveraged machine-learning techniques and advanced statistical methods to provide new insights into rupture intracranial aneurysm (RIA) risks.MethodsWe analysed the characteristics of 2505 patients with intracranial aneurysms (IA) discovered between 2016 and 2019. Baseline characteristics, familial history of IA, tobacco and alcohol consumption, pharmacological treatments before the IA diagnosis, cardiovascular risk factors and comorbidities, headaches, allergy and atopy, IA location, absolute IA size and adjusted size ratio (aSR) were analysed with a multivariable logistic regression (MLR) model. A random forest (RF) method globally assessed the risk factors and evaluated the predictive capacity of a multivariate model.ResultsAmong 994 patients with RIA (39.7%) and 1511 patients with UIA (60.3 %), the MLR showed that IA location appeared to be the most significant factor associated with RIA (OR, 95% CI: internal carotid artery, reference; middle cerebral artery, 2.72, 2.02-3.58; anterior cerebral artery, 4.99, 3.61-6.92; posterior circulation arteries, 6.05, 4.41-8.33). Size and aSR were not significant factors associated with RIA in the MLR model and antiplatelet-treatment intake patients were less likely to have RIA (OR: 0.74; 95% CI: 0.55-0.98). IA location, age, following by aSR were the best predictors of RIA using the RF model.ConclusionsThe location of IA is the most consistent parameter associated with RIA. The use of 'artificial intelligence' RF helps to re-evaluate the contribution and selection of each risk factor in the multivariate model.© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

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