Department of Neurosurgery, University of Brussels, Erasme Hospital, Brussels, Belgium.
Laboratory of Tumor Immuno-logy and Immunotherapy, KU Leuven, Leuven, Belgium.
Neurosurgery. 2018 Aug 1;83(2):166-180. doi: 10.1093/neuros/nyx387.
BACKGROUND: Although digital subtraction angiography (DSA) may be considered the gold standard for intraoperative vascular imaging, many neurosurgical centers rely only on indocyanine green videoangiography (ICG-VA) for the evaluation of clipping accuracy. Many studies have compared the results of ICG-VA with those of intraoperative DSA; however, a systematic review summarizing these results is still lacking. OBJECTIVE: To analyze the literature in order to evaluate ICG-VA accuracy in the identification of aneurysm remnants and vessel stenosis after aneurysm clipping. METHODS: We performed a systematic literature review of ICG-VA accuracy during aneurysm clipping as compared to microscopic visual observation (primary endpoint 1) and DSA (primary endpoint 2). Quality of studies was assessed with the QUADAS-2 tool. Meta-analysis was performed using a random effects model. RESULTS: The initial PubMed search resulted in 2871 records from January 2003 to April 2016; of these, 20 articles were eligible for primary endpoint 1 and 11 for primary endpoint 2. The rate of mis-clippings that eluded microscopic visual observation and were identified at ICG-VA was 6.1% (95% CI: 4.2-8.2), and the rate of mis-clippings that eluded ICG-VA and were identified at DSA was 4.5% (95% CI: 1.8-8.3). CONCLUSION: Because a proportion of mis-clippings cannot be identified with ICG-VA, this technique should still be considered complementary rather than a replacement to DSA during aneurysm surgery. Incorporating other intraoperative tools, such as flowmetry or electrophysiological monitoring, can obviate the need for intraoperative DSA for the identification of vessel stenosis. Nevertheless, DSA likely remains the best tool for the detection of aneurysm remnants.
背景:虽然数字减影血管造影(DSA)可能被认为是术中血管成像的金标准,但许多神经外科中心仅依靠吲哚菁绿视频血管造影(ICG-VA)来评估夹闭的准确性。许多研究比较了 ICG-VA 的结果与术中 DSA 的结果;然而,仍然缺乏对这些结果进行系统综述的研究。
目的:分析文献,以评估 ICG-VA 在识别动脉瘤夹闭后动脉瘤残瘤和血管狭窄方面的准确性。
方法:我们对 ICG-VA 在动脉瘤夹闭中的准确性进行了系统的文献回顾,与显微镜下的视觉观察(主要终点 1)和 DSA(主要终点 2)进行比较。使用 QUADAS-2 工具评估研究质量。采用随机效应模型进行荟萃分析。
结果:最初的 PubMed 搜索结果显示,2003 年 1 月至 2016 年 4 月期间有 2871 条记录;其中,20 篇文章符合主要终点 1 的纳入标准,11 篇符合主要终点 2 的纳入标准。在 ICG-VA 下被识别但在显微镜下视觉观察下被遗漏的错误夹闭率为 6.1%(95%CI:4.2-8.2),在 ICG-VA 下被遗漏但在 DSA 下被识别的错误夹闭率为 4.5%(95%CI:1.8-8.3)。
结论:由于一部分错误夹闭不能被 ICG-VA 识别,因此,在动脉瘤手术中,这种技术仍应被视为补充手段,而不是替代 DSA。术中结合其他工具,如流量测量或电生理监测,可以避免因识别血管狭窄而需要进行术中 DSA。然而,DSA 可能仍然是检测动脉瘤残瘤的最佳工具。
Clin Neurol Neurosurg. 2013-7
Acta Neurochir (Wien). 2010-7-11
Acta Neurochir (Wien). 2025-3-28
Mol Imaging Biol. 2023-2