Hou Chao, Li Shuo, Zhang Lei, Zhang Wei, He Wen
Department of Ultrasound, Lanzhou University Second Hospital, No.82 Cuiyingmen, Chengguan District, Lanzhou, Gansu Province, 730030, China.
Department of Ultrasound, The Affiliated Hospital of Southwest Medical University, No. 25 TaiPing St, Jiangyang District, Luzhou, Sichuan, 646000, China.
Insights Imaging. 2024 Mar 18;15(1):78. doi: 10.1186/s13244-024-01650-7.
This study aimed to examine the clinical and multimodal ultrasonic characteristics differences between carotid web (CW) and CW with plaque as well as the potential risk factors for stroke caused by CW.
We retrospectively enrolled patients diagnosed with CW by CTA or high-resolution MRI (HRMRI) and simultaneously underwent contrast enhanced ultrasound (CEUS) and superb microvascular imaging examinations from January 2015 to October 2022. The CW angle was measured using computer-aided software. The variations between CW and CW with plaque were evaluated, and univariable and multivariable logistic regressions were utilized to identify possible risk predictors for stroke caused by CW.
Two hundred ninety-nine patients with an average age of 60.85 (± 8.77) years were included. Sex, age, history of smoking, alcohol, hypertension, diabetes mellitus, homocysteine level, and treatment, as well as web length and thickness, luminal stenosis, location wall, number, CW angle, and CEUS enhancement, were quite different among CW and CW with plaque patients (p < 0.05). The logistic regression analysis showed that web length was an independent predictor of luminal stenosis in CW patients. For patients with CW and plaque, plaque and web thickness, as well as plaque enhancement, were associated with stenosis. Furthermore, luminal stenosis and plaque length were risk factors for symptoms.
The multimodal ultrasonic and clinical manifestations of CW and CW with plaque are quite different. Web length is an independent risk factor for carotid artery stenosis in CW patients, whereas luminal stenosis and plaque length were risk factors for symptoms in CW with plaque patients.
Exploring the similarities and differences between the carotid web and the carotid web with plaque, based on the stereo-geometric spatial position relationship and hemodynamic changes, may provide further insights into the underlying mechanisms of stroke occurrence caused by the carotid web.
本研究旨在探讨颈动脉蹼(CW)与伴有斑块的CW之间的临床及多模态超声特征差异,以及CW导致卒中的潜在危险因素。
我们回顾性纳入了2015年1月至2022年10月期间通过CTA或高分辨率MRI(HRMRI)诊断为CW并同时接受了超声造影(CEUS)和超微血管成像检查的患者。使用计算机辅助软件测量CW角度。评估了CW与伴有斑块的CW之间的差异,并采用单变量和多变量逻辑回归来确定CW导致卒中的可能风险预测因素。
纳入了299例平均年龄为60.85(±8.77)岁的患者。CW患者与伴有斑块的CW患者在性别、年龄、吸烟史、饮酒史、高血压、糖尿病、同型半胱氨酸水平及治疗情况,以及蹼的长度和厚度、管腔狭窄、部位管壁、数量、CW角度和CEUS增强方面存在显著差异(p<0.05)。逻辑回归分析表明,蹼的长度是CW患者管腔狭窄的独立预测因素。对于伴有斑块的CW患者,斑块及蹼的厚度以及斑块增强与狭窄相关。此外,管腔狭窄和斑块长度是出现症状的危险因素。
CW与伴有斑块的CW的多模态超声表现及临床表现存在显著差异。蹼的长度是CW患者颈动脉狭窄的独立危险因素,而管腔狭窄和斑块长度是伴有斑块的CW患者出现症状的危险因素。
基于立体几何空间位置关系和血流动力学变化,探索颈动脉蹼与伴有斑块的颈动脉蹼之间的异同,可能为深入了解颈动脉蹼导致卒中发生的潜在机制提供进一步的见解。