Mehan William A, Romero Javier M, Hirsch Joshua A, Sabbag David J, Gonzalez Ramon G, Heit Jeremy J, Schaefer Pamela W
Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Department of Radiology, Baylor College of Medicine, Houston, Texas, USA.
J Neurointerv Surg. 2014 Dec;6(10):761-6. doi: 10.1136/neurintsurg-2013-010944. Epub 2013 Nov 25.
BACKGROUND AND PURPOSE: Despite several landmark studies, the natural history of unruptured intracranial aneurysms (UIA) remains uncertain. Our aim was to identify or confirm factors predictive of rupture of UIA being observed conservatively with serial CT angiography (CTA) in a North American patient population. METHODS: We performed a retrospective review of patients with UIA being followed with serial CTA studies from 1999 to 2010. The following features for each aneurysm were cataloged from the official radiologic reports and CTA images: maximum diameter, growth between follow-up studies, location, multiplicity, wall calcification, intraluminal thrombus and morphology. Univariate logistic regression analysis of the potential independent risk factors for aneurysm rupture was performed. Statistically significant risk factors from the univariate analysis were then entered into a multivariate logistic regression analysis. RESULTS: 152 patients with a total of 180 UIA had at least two CTA studies. Six aneurysms in six different patients ruptured during the CTA follow-up period for an overall rupture rate of 3.3% and an annual rupture rate of 0.97%. All ruptured aneurysms were ≥9 mm. In the univariate analysis, the statistically significant predictors of aneurysm rupture were aneurysm size (p=0.003), aneurysm growth (p<0.0001) and aneurysm multilobulation (p=0.001). The risk factors that remained significant following the multivariate analysis were growth (OR 55.9; 95% CI 4.47 to 700.08; p=0.002) and multilobulation (OR 17.4; 95% CI 1.52 to 198.4; p=0.022). CONCLUSIONS: Aneurysm morphology and interval growth are characteristics predictive of a higher risk of subsequent rupture during conservative CTA follow-up.
背景与目的:尽管有多项具有里程碑意义的研究,但未破裂颅内动脉瘤(UIA)的自然病程仍不明确。我们的目的是识别或确认在北美患者群体中,通过连续CT血管造影(CTA)保守观察UIA破裂的预测因素。 方法:我们对1999年至2010年期间接受连续CTA研究随访的UIA患者进行了回顾性分析。从官方放射学报告和CTA图像中记录每个动脉瘤的以下特征:最大直径、随访研究之间的生长情况、位置、多发性、壁钙化、腔内血栓和形态。对动脉瘤破裂的潜在独立危险因素进行单因素逻辑回归分析。然后将单因素分析中具有统计学意义的危险因素纳入多因素逻辑回归分析。 结果:152例患者共180个UIA至少接受了两次CTA研究。在CTA随访期间,6例不同患者的6个动脉瘤破裂,总体破裂率为3.3%,年破裂率为0.97%。所有破裂的动脉瘤直径均≥9 mm。在单因素分析中,动脉瘤破裂的统计学显著预测因素为动脉瘤大小(p = 0.003)、动脉瘤生长(p < 0.0001)和动脉瘤分叶(p = 0.001)。多因素分析后仍具有显著意义的危险因素为生长(OR 55.9;95% CI 4.47至700.08;p = 0.002)和分叶(OR 17.4;95% CI 1.52至198.4;p = 0.022)。 结论:动脉瘤形态和间隔期生长是保守CTA随访期间后续破裂风险较高的预测特征。
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