Liu Qingyuan, Nie Xin, Vergouwen Mervyn D I, Wang Yuting, He Hongwei, Wu Jun, Yang Yi, Mo Shaohua, Chen Lei, Mossa-Basha Mahmud, Levitt Michael R, Edjlali Myriam, Li Jiangan, Ren Jinrui, Zhao Bing, Wang Shuo, Liu Peng, Zhu Chengcheng
Department of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, China.
Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
JAMA Neurol. 2025 Sep 8. doi: 10.1001/jamaneurol.2025.3209.
Recent longitudinal studies in patients with unruptured intracranial aneurysms (UIAs) suggested that aneurysm wall enhancement (AWE) on magnetic resonance imaging (MRI) predicts growth and rupture. However, because these studies were limited by small sample size and short follow-up duration, it remains unclear whether this radiological biomarker has predictive value for UIA instability.
To determine the 4-year risk of instability of UIAs with AWE and investigate whether AWE is an independent predictor of UIA instability.
DESIGN, SETTING, AND PARTICIPANTS: Individual patient data were obtained from 3 prospective multicenter cohort studies conducted in 83 Chinese centers between January 2017 and December 2024. Included were patients aged 18 to 75 years with at least 1 asymptomatic, saccular UIA greater than or equal to 3 mm.
All patients had 3-T MRI gadolinium-enhanced aneurysm wall imaging and computed tomography angiography (CTA) at baseline, and CTA at follow-up.
The primary outcome measure was aneurysm growth or rupture (instability) during follow-up. The absolute risk of aneurysm instability in UIAs with circumferential, focal, and no AWE was determined with Kaplan-Meier estimates at 4 years after baseline aneurysm wall imaging. Cox proportional hazards regression was used to investigate AWE as a potential predictor of instability.
Of the 1453 patients who had baseline 3-T MRI aneurysm wall imaging, 41 patients were excluded because of loss to follow-up or no follow-up CTA, and 61 patients were excluded because of low-quality CTA. We included 1351 patients (median [IQR] age, 56 [48-63] years; 750 female [56%]) with 1416 UIAs and 4884 aneurysm-years of follow-up. Instability within 4 years occurred in 235 of 1416 UIAs (16.6%). The absolute cumulative risk of instability at 4 years was 36.8% (95% CI, 30.7%-43.0%) in UIAs with circumferential AWE, 17.2% (95% CI, 13.4%-21.1%) in UIAs with focal AWE, and 11.4% (95% CI, 11.9%-16.1%) in UIAs with no AWE. Circumferential AWE predicted 4-year instability (hazard ratio [HR], 3.80; 95% CI, 2.82-5.14) and after adjusting for size ratio, aneurysm location, aneurysm shape, and bifurcation configuration (adjusted HR, 2.21; 95% CI, 1.56-3.13).
Within 4 years after baseline wall imaging, instability occurred in one-third of UIAs with circumferential AWE. These results suggest that MRI aneurysm wall imaging may be used for predicting the risk of aneurysm instability.
近期针对未破裂颅内动脉瘤(UIA)患者的纵向研究表明,磁共振成像(MRI)上的动脉瘤壁强化(AWE)可预测动脉瘤的生长和破裂。然而,由于这些研究受样本量小和随访时间短的限制,尚不清楚这种放射学生物标志物对UIA不稳定性是否具有预测价值。
确定伴有AWE的UIA的4年不稳定性风险,并研究AWE是否为UIA不稳定性的独立预测因素。
设计、设置和参与者:个体患者数据来自2017年1月至2024年12月在83个中国中心进行的3项前瞻性多中心队列研究。纳入年龄在18至75岁之间、至少有1个无症状、囊状UIA且直径大于或等于3mm的患者。
所有患者在基线时均接受3-T MRI钆增强动脉瘤壁成像和计算机断层血管造影(CTA)检查,并在随访时进行CTA检查。
主要结局指标为随访期间动脉瘤的生长或破裂(不稳定性)。在基线动脉瘤壁成像4年后,采用Kaplan-Meier估计法确定伴有环形、局灶性和无AWE的UIA中动脉瘤不稳定性的绝对风险。采用Cox比例风险回归分析研究AWE作为不稳定性潜在预测因素的情况。
在1453例进行了基线3-T MRI动脉瘤壁成像的患者中,41例因失访或未进行随访CTA而被排除,61例因CTA质量低而被排除。我们纳入了1351例患者(年龄中位数[四分位间距]为56[48-63]岁;750例女性[56%]),共1416个UIA,随访时长为4884个动脉瘤年。1416个UIA中有235个(16.6%)在4年内出现不稳定性。伴有环形AWE的UIA在4年时不稳定性累积绝对风险为36.8%(95%CI,30.7%-43.0%),伴有局灶性AWE的UIA为17.2%(95%CI,13.4%-21.1%),无AWE的UIA为11.4%(95%CI,11.9%-16.1%)。环形AWE可预测4年不稳定性(风险比[HR],3.80;95%CI,2.82-5.14),在调整大小比、动脉瘤位置、动脉瘤形状和分叉结构后(调整后HR,2.21;95%CI,1.56-3.13)。
在基线壁成像后的4年内,三分之一伴有环形AWE的UIA出现不稳定性。这些结果表明,MRI动脉瘤壁成像可用于预测动脉瘤不稳定性风险。