Wei-Dong Xu 1 , Han Wang 1 , Qi Wu 2 , Li-Li Wen 3 , Zong-Qi You 4 , Bin Yuan 3 , Shu-Juan Chen 2 , Han-Dong Wang 5,2 , Xin Zhang 5,2 . Show Affiliations »
Abstract
OBJECTIVE: To identify the morphological parameters correlated with the rupture of middle cerebral artery (MCA) aneurysms. METHODS: We retrospectively analyzed the digital subtraction angiography (DSA) data of 48 patients with ruptured mirror MCA aneurysms. Morphological parameters included aneurysm with wall protrusion, maximum diameter (Dmax), height, neck width, aneurysm width, dome projection, parent artery average diameter (Dp), aspect ratio (AR), bottleneck factor (BNF), size ratio (SR), M1/M2 ratio, and height/width (H/W) ratio. These paired parameters were analyzed by conditional univariate and multivariate logistic regressions to screen out the independent risk factors. We established a score based on the independent risk factors. Receiver operating characteristics (ROC) were generated to estimate the prediction performance of the score in our large database of 763 aneurysms. RESULTS: In the univariate regressions, Dmax, height, aneurysm width, neck width, AR, BNF, H/W ratio, SR, anterior dome projection and aneurysm with wall protrusion were significant risk factors. Aneurysm width (OR 3.296, p=0.015), AR (OR 11.594, p=0.014) and anterior dome projection (OR 9.385, p=0.016) were independent risk factors in multivariate regression. The area under the curve (AUC) value of the score based on the three independent risk factors was 0.829. CONCLUSION: Aneurysm width, AR and anterior dome projection were independent risks factors of rupture. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.
OBJECTIVE: To identify the morphological parameters correlated with the rupture of middle cerebral artery (MCA) aneurysms . METHODS: We retrospectively analyzed the digital subtraction angiography (DSA) data of 48 patients with ruptured mirror MCA aneurysms . Morphological parameters included aneurysm with wall protrusion, maximum diameter (Dmax), height, neck width, aneurysm width , dome projection, parent artery average diameter (Dp), aspect ratio (AR), bottleneck factor (BNF), size ratio (SR), M1/M2 ratio, and height/width (H/W) ratio. These paired parameters were analyzed by conditional univariate and multivariate logistic regressions to screen out the independent risk factors. We established a score based on the independent risk factors. Receiver operating characteristics (ROC) were generated to estimate the prediction performance of the score in our large database of 763 aneurysms . RESULTS: In the univariate regressions, Dmax, height, aneurysm width , neck width, AR, BNF, H/W ratio, SR, anterior dome projection and aneurysm with wall protrusion were significant risk factors. Aneurysm width (OR 3.296, p=0.015), AR (OR 11.594, p=0.014) and anterior dome projection (OR 9.385, p=0.016) were independent risk factors in multivariate regression. The area under the curve (AUC) value of the score based on the three independent risk factors was 0.829. CONCLUSION: Aneurysm width , AR and anterior dome projection were independent risks factors of rupture . © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.
Entities: Disease
Species
Keywords:
aneurysm
Year: 2020
PMID: 32107287 DOI: 10.1136/neurintsurg-2019-015620
Source DB: PubMed Journal: J Neurointerv Surg ISSN: 1759-8478 Impact factor: 5.836