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术中应用解析吲哚菁绿视频血管造影增强颅内动静脉畸形分析:技术说明。

Enhanced analysis of intracerebral arterioveneous malformations by the intraoperative use of analytical indocyanine green videoangiography: technical note.

机构信息

Department of Neurosurgery, Klinikum Grosshadern, Ludwig-Maximilians-University, Munich, Germany.

出版信息

Acta Neurochir (Wien). 2011 Nov;153(11):2181-7. doi: 10.1007/s00701-011-1141-z. Epub 2011 Sep 6.

Abstract

In cerebral arterioveneous malformations (AVMs) detailed intraoperative identification of feeding arteries, nidal vessels and draining veins is crucial for surgery. Intraoperative imaging techniques like indocyanine green videoangiography (ICG-VAG) provide information about vessel architecture and patency, but do not allow time-dependent analysis of intravascular blood flow. Here we report on our first experiences with analytical indocyanine green videoangiography (aICG-VAG) using FLOW 800 software as a useful tool for assessing the time-dependent intraoperative blood flow during surgical removal of cerebral AVMs. Microsope-integrated colour-encoded aICG-VAG was used for the surgical treatment of a 38-year-old woman diagnosed with an incidental AVM, Spetzler Martin grade I, of the left frontal lobe and of a 26-year-old man suffering from seizures caused by a symptomatic AVM, Spetzler Martin grade III, of the right temporal lobe. Analytical ICG-VAG visualization was intraoperatively correlated with in situ micro-Doppler investigation, as well as preoperative and postoperative digital subtraction angiography (DSA). Analytical ICG-VAG is fast, easy to handle and integrates intuitively into surgical procedures. It allows colour-encoded visualization of blood flow distribution with high temporal and spatial resolution. Superficial major and minor feeding arteries can be clearly separated from the nidus and draining veins. Effects of stepwise vessel obliteration on velocity and direction of AVM blood flow can be objectified. High quality of visualization, however, is limited to the site of surgery. Colour-encoded aICG-VAG with FLOW 800 enables intraoperative real-time analysis of arterial and venous vessel architecture and might, therefore, increase efficacy and safety of neurovascular surgery in a selected subset of superficial AVMs.

摘要

在脑动静脉畸形(AVM)中,详细识别供血动脉、核心血管和引流静脉对于手术至关重要。术中成像技术,如吲哚菁绿视频血管造影(ICG-VAG),可以提供关于血管结构和通畅性的信息,但不允许对血管内血流进行时相关分析。在这里,我们报告了首次使用 FLOW 800 软件进行分析性吲哚菁绿视频血管造影(aICG-VAG)的经验,该技术是评估脑 AVM 切除术中血流的有用工具。显微镜集成彩色编码 aICG-VAG 用于治疗一名 38 岁女性的意外 AVM,该 AVM 位于左额叶,Spetzler Martin 分级为 I 级,另一名 26 岁男性患有症状性 AVM,位于右颞叶,Spetzler Martin 分级为 III 级。术中分析性 ICG-VAG 可视化与原位微多普勒研究以及术前和术后数字减影血管造影(DSA)相关。分析性 ICG-VAG 快速、易于操作,可直观地整合到手术中。它允许以高时空分辨率对血流分布进行彩色编码可视化。可以清楚地将浅表主要和次要供血动脉与核心和引流静脉区分开来。可以客观地反映逐步闭塞血管对 AVM 血流速度和方向的影响。然而,可视化的高质量仅限于手术部位。使用 FLOW 800 的彩色编码 aICG-VAG 可以实现术中实时分析动静脉血管结构,因此可能会增加在选择的浅表 AVM 中神经血管手术的效果和安全性。

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