Statistical model to predict intracranial aneurysm rupture
October 2018
George Mason University, Fairfax, USA
Intracranial aneurysms [IAs] are nowadays increasingly diagnosed incidentally and physicians need to weigh the natural risk of aneurysm rupture against the risks of treatment and their complications when deciding on a treatment strategy. In the present study, the researchers aimed at validating a previously developed statistical model with 249 aneurysms from patient cohorts. The researchers used imaging data and patient information to perform patient-specific computational fluid dynamics simulations and subsequent evaluation of the statistical model in terms of accuracy, discrimination, and goodness of fit. The statistical model's capacity to predict outcomes was compared to the standard methodology. The model showed good performance and demonstrated its potential of use for clinical risk assessment.
External validation of cerebral aneurysm rupture probability model with data from two patient cohorts
Felicitas J. Detmer
Added on: 11-27-2021
[1] https://link.springer.com/article/10.1007/s00701-018-3712-8[2] https://data.jrc.ec.europa.eu/dataset/20947a04-86ef-473f-8907-c658e4050c24
