Maduri Rodolfo, Guyotat Jacques, Signorelli Francesco
Department of Clinical Neurosciences, Service of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Department of Neurosurgery, Hôpital Neurologique et Neurochirurgical "P. Wertheimer", 59, boulevard Pinel, 69500, Bron-Lyon, France.
Acta Neurochir (Wien). 2016 Jul;158(7):1387-91. doi: 10.1007/s00701-016-2812-6. Epub 2016 Apr 30.
Indocyanine green video-angiography (IG-VA) is applied for intraoperative localisation and verification of surgical disconnection of intracranial dural arteriovenous fistulas (iDAVFs).
We describe the technique of semiquantitative flow analysis using Flow800 software that implements conventional IG-VA. Our method relies on simple comparison of the fluorescence curves of the exposed vessels, allowing precise localisation of the DAVF draining vein and verification of its surgical disconnection.
Semi-quantitative flow analysis with Flow800 software during IG-VA is a reproducible technique that may overcome the limitations of conventional IG-VA in the surgical treatment of DAVFs.
吲哚菁绿视频血管造影术（IG-VA）用于颅内硬脑膜动静脉瘘（iDAVF）手术中定位及验证手术切断情况。
我们描述了使用实施传统IG-VA的Flow800软件进行半定量血流分析的技术。我们的方法依赖于对暴露血管荧光曲线的简单比较，从而精确确定DAVF引流静脉的位置并验证其手术切断情况。
IG-VA期间使用Flow800软件进行半定量血流分析是一种可重复的技术，可能克服传统IG-VA在DAVF手术治疗中的局限性。
