■本研究旨在确定颅内动脉瘤(IA)复发的危险因素,并建立预测模型以辅助评估。
■根据数字减影血管造影随访,在2017年9月至2022年10月期间,共302例312例IAs接受线圈栓塞的患者分为两组。临床特征,与运营相关的因素,并测量了形态。采用Cox比例风险回归分析确定危险因素。危险比(HR)用于评分,并建立了预测模型。测试队列由51个IA组成。产生接收器操作特征曲线以确定截止值和曲线下面积(AUC)。进行Delong测试以比较AUC。
■最大直径(Dmax)(p<0.001,HR=1.221),雷蒙德-罗伊闭塞分类(RROC)II或III(p=0.004,HR=2.852),和破裂状态(p<0.001,HR=7.782)是IAs复发的独立危险因素。建立预测模型:Dmax+2*RROC(II或III;是=1,否=0)+6*破裂状态(是=1;否=0)。预测模型的AUC(0.818)显著高于Dmax(0.704),RROC(II或III)(0.645),和破裂状态(0.683),分别(德隆测试,p<0.05)。预测模型的截止值和Dmax分别为9.75点和6.65mm,分别。
■Dmax,RROC(II或III),破裂状态可以独立预测线圈栓塞后IAs的复发。我们的模型可以帮助进行实际评估。
UNASSIGNED: This study aimed to identify risk factors for intracranial aneurysms (IAs) recurrence and establish a predictive model to aid evaluation.
UNASSIGNED: A total of 302 patients with 312 IAs undergoing coil embolization between September 2017 and October 2022 were divided into two groups based on digital subtraction angiography follow-up. Clinical characteristics, operation-related factors, and morphologies were measured. Cox proportional hazard regression was used to identify the risk factors. Hazard ratios (HRs) were used to score points, and a predictive model was established. The test cohorts consisted of 51 IAs. Receiver operating characteristic curves were generated to determine the cutoff values and area under the curves (AUCs). A Delong test was performed to compare the AUCs.
UNASSIGNED: Diameter maximum (D max) (p < 0.001, HR = 1.221), Raymond-Roy occlusion classification (RROC) II or III (p = 0.004, HR = 2.852), and ruptured status (p < 0.001, HR = 7.782) were independent risk factors for the recurrence of IAs. A predictive model was established: D max + 2 * RROC (II or III; yes = 1, no = 0) + 6 * ruptured status (yes = 1; no = 0). The AUC of the predictive model (0.818) was significantly higher than those of D max (0.704), RROC (II or III) (0.645), and rupture status (0.683), respectively (Delong test, p < 0.05). The cutoff values of the predictive model and D max were 9.75 points and 6.65 mm, respectively.
UNASSIGNED: The D max, RROC (II or III), and ruptured status could independently predict the recurrence of IAs after coil embolization. Our model could aid in practical evaluations.