METHODS: A systematic review was conducted following the PRISMA guidelines. The PubMed, Ovid MEDLINE, and Ovid EMBASE databases were searched, yielding 1667 papers. A statistical analysis was performed using R.
RESULTS: The included studies were published from 1996 to 2023. The risk of bias assessment indicated high-quality studies. Target exposure was the most studied feature (81.7%), mainly with area quantification (64.9%). The surgical corridor was quantified in 60.9% of studies, more commonly with the quantification of the angle of view (60%). Neuronavigation-based methods benefit from quantifying the surgical pyramid features that define a cranial neurosurgical approach and allowing post-dissection data analyses. Direct measurements might diminish the error that is inherent to navigation methods and are useful to collect a small amount of data.
CONCLUSIONS: Quantifying neurosurgical approaches in the anatomy laboratory provides an objective assessment of the surgical corridor and target exposure. There is currently limited comparability among quantitative neurosurgical anatomy studies; sharing common research methods will provide comparable data that might also be investigated with artificial intelligence methods.
方法:按照PRISMA指南进行系统评价。PubMed,OvidMEDLINE,搜索了OvidEMBASE数据库,产生1667篇论文。使用R进行统计分析。
结果:纳入的研究发表于1996年至2023年。偏倚风险评估表明高质量的研究。目标暴露是研究最多的特征(81.7%),主要采用面积定量(64.9%)。60.9%的研究对手术走廊进行了量化,更常见的是视角的量化(60%)。基于神经导航的方法受益于量化定义颅神经外科手术方法的手术金字塔特征并允许解剖后数据分析。直接测量可能会减少导航方法固有的误差,并且对收集少量数据很有用。
结论:在解剖实验室中对神经外科手术入路进行量化提供了对手术走廊和目标暴露的客观评估。目前,定量神经外科解剖学研究之间的可比性有限;共享共同的研究方法将提供可比较的数据,也可以用人工智能方法进行研究。