The risk criterion for the growth of small cerebral aneurysms

Cerebral aneurysms are a significant disease that can lead to both disability of the patient and death. Despite the fact that risk analysis technologies for medium-sized and giant aneurysms are currently developing quite well, small aneurysms have been poorly studied. At the same time, up to 30 % of all aneurysm ruptures are recorded specifically for medium and small aneurysms.

The aim of our work was to build a model for predicting the growth of small aneurysms based on a dynamic analysis of their morphological and hemodynamic characteristics.

Material and methods. A dynamic risk analysis of the growth of small cerebral aneurysms was performed for a group of patients from one clinical center according to computed tomography angiography. In addition to measuring the dynamics of aneurysm morphology for the studied patients, vascular tree reconstruction was also performed in the ITK Snap program and cerebral hemodynamics was calculated for 19 patients in the ANSYS CFX 2020R2 software package.

Results and discussion. During the study, an array of long-term follow-up data was obtained for patients with small cerebral aneurysms. Based on it, a logistic regression model was built, which showed area under the curve 0.8. Replenishment of the sample of examined patients will improve the performance of the model, which makes it adequate for clinical use.

Conclusions. The unique data on long-term follow-up of patients with small aneurysms are presented, and the constructed model has shown its promise provided that the sample of patients is expanded

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