Abstract：
To examine the usefulness of carotid web (CW), carotid bifurcation and their combined angioarchitectural measurements in assessing stroke risk.
Anatomic data on the internal carotid artery (ICA), common carotid artery (CCA), and the CW were gathered as part of a retrospective study from symptomatic (stroke) and asymptomatic (nonstroke) patients with CW. We built a model of stroke risk using principal-component analysis, Firth regression trained with 5-fold cross-validation, and heuristic binary cutoffs based on the Minimal Description Length principle.
The study included 22 patients, with a mean age of 55.9 ± 12.8 years; 72.9% were female. Eleven patients experienced an ischemic stroke. The first 2 principal components distinguished between patients with stroke and patients without stroke. The model showed that ICA-pouch tip angle (P = 0.036), CCA-pouch tip angle (P = 0.036), ICA web-pouch angle (P = 0.036), and CCA web-pouch angle (P = 0.036) are the most important features associated with stroke risk. Conversely, CCA and ICA anatomy (diameter and angle) were not found to be risk factors.
This pilot study shows that using data from computed tomography angiography, carotid bifurcation, and CW angioarchitecture may be used to assess stroke risk, allowing physicians to tailor care for each patient according to risk stratification.
Anatomic data on the internal carotid artery (ICA), common carotid artery (CCA), and the CW were gathered as part of a retrospective study from symptomatic (stroke) and asymptomatic (nonstroke) patients with CW. We built a model of stroke risk using principal-component analysis, Firth regression trained with 5-fold cross-validation, and heuristic binary cutoffs based on the Minimal Description Length principle.
The study included 22 patients, with a mean age of 55.9 ± 12.8 years; 72.9% were female. Eleven patients experienced an ischemic stroke. The first 2 principal components distinguished between patients with stroke and patients without stroke. The model showed that ICA-pouch tip angle (P = 0.036), CCA-pouch tip angle (P = 0.036), ICA web-pouch angle (P = 0.036), and CCA web-pouch angle (P = 0.036) are the most important features associated with stroke risk. Conversely, CCA and ICA anatomy (diameter and angle) were not found to be risk factors.
This pilot study shows that using data from computed tomography angiography, carotid bifurcation, and CW angioarchitecture may be used to assess stroke risk, allowing physicians to tailor care for each patient according to risk stratification.
摘要：
目的：为了检查颈动脉网（CW）的实用性，颈动脉分叉,以及他们在评估卒中风险方面的联合血管结构测量。
方法：颈内动脉（ICA）的解剖数据，颈总动脉(CCA),作为回顾性研究的一部分,我们从有症状(卒中)和无症状(非卒中)的CW患者中收集CW.我们使用主成分分析建立了中风风险模型，经过5倍交叉验证的Firth回归训练，和基于最小描述长度原则的启发式二进制截止值。
结果：该研究包括22名患者，平均年龄55.9±12.8岁，72.9%为女性。11例患者经历了缺血性卒中。前两个主成分区分中风患者和非中风患者。该模型揭示了ICA袋-尖端角度(p=0.036)，CCA袋-尖端角度(p=0.036),ICA腹板袋角度（p=0.036），和CCA网袋角度(p=0.036)是与卒中风险相关的最重要特征。相反，CCA和ICA解剖结构（直径和角度）未发现是危险因素。
结论：这项初步研究表明，使用CT血管造影的数据，颈动脉分叉,和CW血管造影可用于评估中风风险，允许医生根据风险分层为每位患者量身定制护理。
方法：颈内动脉（ICA）的解剖数据，颈总动脉(CCA),作为回顾性研究的一部分,我们从有症状(卒中)和无症状(非卒中)的CW患者中收集CW.我们使用主成分分析建立了中风风险模型，经过5倍交叉验证的Firth回归训练，和基于最小描述长度原则的启发式二进制截止值。
结果：该研究包括22名患者，平均年龄55.9±12.8岁，72.9%为女性。11例患者经历了缺血性卒中。前两个主成分区分中风患者和非中风患者。该模型揭示了ICA袋-尖端角度(p=0.036)，CCA袋-尖端角度(p=0.036),ICA腹板袋角度（p=0.036），和CCA网袋角度(p=0.036)是与卒中风险相关的最重要特征。相反，CCA和ICA解剖结构（直径和角度）未发现是危险因素。
结论：这项初步研究表明，使用CT血管造影的数据，颈动脉分叉,和CW血管造影可用于评估中风风险，允许医生根据风险分层为每位患者量身定制护理。
