Abstract
BACKGROUND To study the risk predictors of intracranial asymptomatic small aneurysm rupture by electrocardiographic (ECG)-gated 4D-CT angiography (4D-CTA). MATERIAL AND METHODS A total of 168 patients with intracranial aneurysms <7 mm who underwent 4D-CTA examinations were retrospectively analyzed and divided into a ruptured group and an unruptured group. The original scanning data of all cases were reconstructed to obtain 20 groups of data in 5% time intervals in the cardiac cycle. After processing with 3D workstation software, 20 sets of images and dynamic images were achieved. The morphological characteristics and clinical features of the 2 groups of aneurysms were analyzed through univariate analysis, then logistic regression analysis was performed for the meaningful indicators. Finally, the optimum diagnostic cut-off point was calculated by ROC curve analysis. RESULTS Univariate analysis showed that sex, smoking history, vascular bifurcation point, pulsation point appearance, aneurysm height, aspect ratio (AR), and size ratio (SR) were significantly different (P<0.05) between the ruptured group and unruptured group. Multivariate regression analysis indicated that the pulsation points (OR=8.188, 95% CI: 3.984-17.198) and high SR values (OR=5.325, 95% CI: 1.503-18.867) were independent predictors of asymptomatic small aneurysm rupture. When the SR value was higher than 1.65, the area below the ROC curve was 0.723, the diagnostic sensitivity was 75%, and the specificity was 80%. CONCLUSIONS The occurrence of pulsation points and SR values >1.65 were independent predictors for the rupture of asymptomatic small intracranial aneurysms <7 mm in diameter.