医学
神经导航
术中磁共振成像
工作流程
医学物理学
神经外科
介入性磁共振成像
协议(科学)
神经组阅片室
工件(错误)
标准化
放射科
磁共振成像
人工智能
计算机科学
神经学
病理
替代医学
精神科
操作系统
数据库
作者
Luke Dixon,Adrian Lim,Matthew Grech‐Sollars,Dipankar Nandi,Sophie Camp
标识
DOI:10.1007/s10143-022-01778-4
摘要
Accurate and reliable intraoperative neuronavigation is crucial for achieving maximal safe resection of brain tumors. Intraoperative MRI (iMRI) has received significant attention as the next step in improving navigation. However, the immense cost and logistical challenge of iMRI precludes implementation in most centers worldwide. In comparison, intraoperative ultrasound (ioUS) is an affordable tool, easily incorporated into existing theatre infrastructure, and operative workflow. Historically, ultrasound has been perceived as difficult to learn and standardize, with poor, artifact-prone image quality. However, ioUS has dramatically evolved over the last decade, with vast improvements in image quality and well-integrated navigation tools. Advanced techniques, such as contrast-enhanced ultrasound (CEUS), have also matured and moved from the research field into actual clinical use. In this review, we provide a comprehensive and pragmatic guide to ioUS. A suggested protocol to facilitate learning ioUS and improve standardization is provided, and an outline of common artifacts and methods to minimize them given. The review also includes an update of advanced techniques and how they can be incorporated into clinical practice.
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