Integrated Biomedical Informatics for the Management of Cerebral Aneurysms


The primary objective of the project was to assist clinical decision-making in the management of cerebral aneurysms by providing an objective measure of risk, based on all available data, and thus reduce patient anxiety and unnecessary treatment by identifying those individuals who do not have a high risk of rupture.

Currently, treatment of cerebral aneurysms is offered to almost all patients because, despite the misgivings of clinical practitioners, there is insufficient evidence to support a non-intervention decision. As well as improved patient management and anxiety reduction, the potential economic benefit of the @neurIST approach in Europe is enormous. Taking into account the prevalence of the disease [1-5%], the annual rupture rate [0.2-1%], and the average treatment and first-year follow-up costs of patients [50kEuro], it is estimated that, in Europe alone, unnecessary (and therefore inappropriate!) interventional or surgical procedures cost in the order of thousands million of Euros per annum (Johnston et al 2000, Roos et al 2002).

Within this context, @neurIST aimed to develop, integrate and exploit the knowledge and expertise of a wide group of renowned European and international experts to produce, as core deliverables, a set of integrated software information retrieval, processing and management suites. The project demonstrated the potential benefits of this integration for the management of cerebral aneurysms and also for other disease management processes.


@neurIST was a major international study, funded by the IST division of the Sixth Framework Programme of the EU.


Ioannis Chronakis