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罕见的颈内动脉先天性异常:三例病例的解剖和放射学特征及文献复习。

Rare congenital anomalies of the internal carotid artery: anatomic and radiologic aspects of three cases and review of the literature.

机构信息

Faculty of Medicine, Department of Anatomy, Hacettepe University, Ankara, Turkey.

Faculty of Medicine, Department of Anatomy, Ufuk University, Ankara, Turkey.

出版信息

Surg Radiol Anat. 2020 Nov;42(11):1363-1370. doi: 10.1007/s00276-020-02549-w. Epub 2020 Aug 19.

Abstract

PURPOSE

Congenital anomaly of the internal carotid artery (ICA) is a rare entity. It is usually discovered incidentally by color doppler carotid sonography, angiography, computerized tomography (CT), or magnetic resonance imaging of the head and neck region taken for some other reasons. The aim of this study was to detect congenital ICA anomalies, to delineate existing collateral vessels and to find out its incidence.

METHODS

1847 patients' CT angiography images of the head and neck region taken between May 2013 and February 2018 were retrospectively evaluated for ICA anomalies.

RESULTS

We detected three cases (0.16%) with unilateral agenesis of ICA, bilateral agenesis of ICA and bilateral hypoplasia of ICA, respectively. Most patients are asymptomatic because of collateral cerebral circulation supplied by the communicating arteries of the circle of Willis, intercavernous anastomosis, communicating arteries from the external carotid artery, and by persistent embryologic arteries to the carotid artery territory.

CONCLUSION

Recognition of ICA anomalies has important implications during planned carotid or transsphenoidal surgery, in thromboembolic disease, and in the follow-up and detection of associated cerebral aneurysms.

摘要

目的

颈内动脉(ICA)先天性异常较为罕见。通常在因其他原因进行彩色多普勒颈动脉超声、血管造影、头颈部计算机断层扫描(CT)或磁共振成像时偶然发现。本研究旨在检测先天性 ICA 异常,描绘现有的侧支血管,并确定其发生率。

方法

回顾性分析 2013 年 5 月至 2018 年 2 月期间 1847 例头颈部 CT 血管造影图像,以检测 ICA 异常。

结果

我们分别检测到单侧 ICA 发育不全、双侧 ICA 发育不全和双侧 ICA 发育不良各 3 例(0.16%)。由于大脑Willis 环的交通动脉、海绵窦间吻合、颈外动脉的交通动脉以及胚胎期永存动脉向颈动脉供血区的侧支循环,大多数患者无症状。

结论

在计划进行颈动脉或经蝶窦手术、血栓栓塞性疾病以及对相关脑动脉瘤进行随访和检测时,识别 ICA 异常具有重要意义。

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