Bayer Siming, Maier Andreas, Ostermeier Martin, Fahrig Rebecca
Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany.
Siemens Healthcare GmbH, 91301 Forchheim, Germany.
Int J Biomed Imaging. 2017;2017:6028645. doi: 10.1155/2017/6028645. Epub 2017 Jun 5.
Intraoperative brain shift during neurosurgical procedures is a well-known phenomenon caused by gravity, tissue manipulation, tumor size, loss of cerebrospinal fluid (CSF), and use of medication. For the use of image-guided systems, this phenomenon greatly affects the accuracy of the guidance. During the last several decades, researchers have investigated how to overcome this problem. The purpose of this paper is to present a review of publications concerning different aspects of intraoperative brain shift especially in a tumor resection surgery such as intraoperative imaging systems, quantification, measurement, modeling, and registration techniques. Clinical experience of using intraoperative imaging modalities, details about registration, and modeling methods in connection with brain shift in tumor resection surgery are the focuses of this review. In total, 126 papers regarding this topic are analyzed in a comprehensive summary and are categorized according to fourteen criteria. The result of the categorization is presented in an interactive web tool. The consequences from the categorization and trends in the future are discussed at the end of this work.
神经外科手术过程中的术中脑移位是一种众所周知的现象,它由重力、组织操作、肿瘤大小、脑脊液(CSF)流失以及药物使用引起。对于图像引导系统的使用而言,这种现象极大地影响了引导的准确性。在过去几十年中,研究人员一直在研究如何克服这个问题。本文的目的是对有关术中脑移位不同方面的出版物进行综述,特别是在肿瘤切除手术中,如术中成像系统、量化、测量、建模和配准技术。使用术中成像模态的临床经验、与肿瘤切除手术中的脑移位相关的配准和建模方法的详细信息是本综述的重点。总共对126篇关于该主题的论文进行了全面总结分析,并根据十四项标准进行了分类。分类结果在一个交互式网络工具中呈现。在这项工作的结尾讨论了分类的结果和未来的趋势。