Risk assessment of rupture of cerebral aneurysms

This demonstrator (AneuRisk) provides a risk assessment of rupture of cerebral aneurysms. It was developed as part of the Aneurist project, supported by the EU 6th Framework IST programme. Encoded knowledge is based on a systematic review of the literature on the management of cerebral aneurysms, and a comprehensive and formal model for capturing and storing demographic and other patient information relevant to risk assessment and treatment. The system consists of a workflow model, a data model, a logic model and a knowledge database, and includes 22 risk factors related to the rupture of cerebral aneurysms and subarachnoid haemorage in general. AneuRisk follows a quantitative, rule- (or argument-) based approach to produce an accurate evaluation of the risks of rupture or benefits of a treatment for patients with cerebral aneurysms.

 

 

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  Publet information
Guideline objectives

This demonstrator illustrates the potential for decision support within Clinical Evidence: support is provided for the question "Which treatments improve outcomes in cerebral aneurysms?"
Target setting Secondary care, Tertiary care
Target users Neurosergeons, Radiologists
Management
  • Author: Ioannis Chronakis
  • Release date: 04-03-2008 14:18:00
Sources

@neuRISK prototype version 2 decision support module was built around the risk factors that are present in the existing literature. Deliverable 18 reviewed systematically the existing systematic reviews and highlighted 22 risk factors related with the rupture of an unruptured cerebral aneurysm and subarachnoid haemorage in general.

The results presented by D18 are mostly in the form of Relative Risk, Odds Ratios and Hazard Ratios. They provide useful insight for the disease, but they are not suitable for a quantitative risk-benefit analysis that is required to produce accurate evaluation of the risks or benefits of a treatment. Therefore in this prototype we followed a quantitative, rule (or argument) based approach to present them.