| Literature DB >> 27994571 |
Zhongbin Tian1, Yisen Zhang1, Linkai Jing2, Jian Liu1, Ying Zhang1, Xinjian Yang1.
Abstract
BACKGROUND: The purpose of this research was to analyze the effect of morphologic and hemodynamic characteristics on mirror aneurysms in which one ruptured and the other did not, within the same patient, and to identify reliable predictors of rupture.Entities:
Keywords: computational fluid dynamics; hemodynamics; intracranial mirror aneurysms; morphologic; rupture
Year: 2016 PMID: 27994571 PMCID: PMC5136536 DOI: 10.3389/fneur.2016.00219
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Figure 1A 43-year-old female manifested severe headache. First column (A,B): CT showed subarachnoid hemorrhage. Second column (C,D): the 3D-DSA images presented with two aneurysms on the left ICA C7 (ruptured) and right ICA C7 (unruptured). Third column (E,F): wall shear stress (WSS) distribution. The ruptured aneurysms (E) had significantly lower WSS than the unruptured aneurysms (F). Fourth column (G,H): velocity streamlines showing the flow pattern of the aneurysms. The flow patterns of the two aneurysms were simple at peak systole.
Result from univariate statistical analysis for all variables.
| Variables | Total aneurysms ( | Ruptured ( | Unruptured ( | |
|---|---|---|---|---|
| Size (mm) | 5.00 ± 3.58 | 6.53 ± 3.50 | 3.37 ± 2.59 | <0.001 |
| Aspect ratio | 1.46 ± 0.68 | 1.84 ± 0.71 | 1.09 ± 0.37 | <0.001 |
| Size ratio | 1.87 ± 1.17 | 2.43 ± 1.27 | 1.30 ± 0.70 | <0.001 |
| WSS (Pa) | 3.29 ± 2.30 | 2.49 ± 1.67 | 4.10 ± 2.56 | <0.001 |
| OSI | 0.011 (0.014) | 0.013 (0.016) | 0.010 (0.011) | 0.07 |
| LSA | 4.85 (15.70) | 6.78 (27.49) | 1.46 (10.20) | 0.003 |
| 0.78 | ||||
| Lateral (%) | 53 (47.32) | 23 (41.07) | 30 (53.57) | |
| Bifurcation (%) | 59 (52.68) | 33 (58.93) | 26 (46.43) | |
| 0.56 | ||||
| Regular (%) | 51 (45.54) | 21 (37.50) | 30 (53.57) | |
| Irregular (%) | 61 (54.46) | 35 (62.50) | 26 (46.43) | |
| 0.14 | ||||
| Stable (%) | 47 (41.96) | 29 (51.79) | 18 (32.14) | |
| Unstable (%) | 65 (58.04) | 27 (48.21) | 38 (67.86) | |
| 0.08 | ||||
| Simple (%) | 68 (60.71) | 26 (46.43) | 42 (75.00) | |
| Complex (%) | 44 (39.29) | 30 (53.57) | 14 (25.00) |
*Paired sample t-test, Wilcoxon signed-rank test, or McNemar test as appropriate.
.
Multivariate logistic regression analysis.
| Variables | OR | 95% CI | |
|---|---|---|---|
| Size | 2.572 | 1.454–4.549 | 0.001 |
| WSS | 0.609 | 0.372–0.998 | 0.045 |
*p values for multivariate logistic regression analysis and p < 0.05 was considered statistically significant.