Augmented reality navigation in external ventricular drain insertion—a systematic review and meta-analysis

IF 4.4 3区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Virtual Reality Pub Date : 2024-07-24 DOI:10.1007/s10055-024-01033-9
Ali Buwaider, Victor Gabriel El-Hajj, Alessandro Iop, Mario Romero, Walter C Jean, Erik Edström, Adrian Elmi-Terander
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Abstract

External ventricular drain (EVD) insertion using the freehand technique is often associated with misplacements resulting in unfavorable outcomes. Augmented Reality (AR) has been increasingly used to complement conventional neuronavigation. The accuracy of AR guided EVD insertion has been investigated in several studies, on anthropomorphic phantoms, cadavers, and patients. This review aimed to assess the current knowledge and discuss potential benefits and challenges associated with AR guidance in EVD insertion. MEDLINE, EMBASE, and Web of Science were searched from inception to August 2023 for studies evaluating the accuracy of AR guidance for EVD insertion. Studies were screened for eligibility and accuracy data was extracted. The risk of bias was assessed using the Cochrane Risk of Bias Tool and the quality of evidence was assessed using the Newcastle-Ottawa-Scale. Accuracy was reported either as the average deviation from target or according to the Kakarla grading system. Of the 497 studies retrieved, 14 were included for analysis. All included studies were prospectively designed. Insertions were performed on anthropomorphic phantoms, cadavers, or patients, using several different AR devices and interfaces. Deviation from target ranged between 0.7 and 11.9 mm. Accuracy according to the Kakarla grading scale ranged between 82 and 96%. Accuracy was higher for AR compared to the freehand technique in all studies that had control groups. Current evidence demonstrates that AR is more accurate than free-hand technique for EVD insertion. However, studies are few, the technology developing, and there is a need for further studies on patients in relevant clinical settings.

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心室外引流管插入中的增强现实导航--系统回顾和荟萃分析
使用徒手技术插入心室外引流管(EVD)经常会发生错位,导致不良后果。增强现实技术(AR)被越来越多地用于补充传统的神经导航。多项研究已在拟人模型、尸体和患者身上对 AR 引导 EVD 插入的准确性进行了调查。本综述旨在评估现有知识,并讨论与 AR 引导 EVD 插入相关的潜在优势和挑战。从开始到 2023 年 8 月,我们在 MEDLINE、EMBASE 和 Web of Science 上检索了评估 AR 引导 EVD 插入准确性的研究。对研究进行了资格筛选,并提取了准确性数据。使用 Cochrane 偏倚风险工具评估偏倚风险,使用纽卡斯尔-渥太华量表评估证据质量。准确性以平均偏离目标值或根据卡卡拉分级系统进行报告。在检索到的 497 项研究中,有 14 项被纳入分析。所有纳入的研究均为前瞻性设计。使用几种不同的 AR 设备和界面,在拟人化模型、尸体或患者身上进行了植入。与目标的偏差在 0.7 至 11.9 毫米之间。根据卡卡拉分级标准,准确率在 82% 到 96% 之间。在所有有对照组的研究中,AR 的精确度均高于徒手技术。目前的证据表明,在插入 EVD 时,AR 比徒手技术更准确。然而,研究还很少,技术还在发展中,还需要在相关临床环境中对患者进行进一步研究。
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来源期刊
Virtual Reality
Virtual Reality COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
8.30
自引率
14.30%
发文量
95
审稿时长
>12 weeks
期刊介绍: The journal, established in 1995, publishes original research in Virtual Reality, Augmented and Mixed Reality that shapes and informs the community. The multidisciplinary nature of the field means that submissions are welcomed on a wide range of topics including, but not limited to: Original research studies of Virtual Reality, Augmented Reality, Mixed Reality and real-time visualization applications Development and evaluation of systems, tools, techniques and software that advance the field, including: Display technologies, including Head Mounted Displays, simulators and immersive displays Haptic technologies, including novel devices, interaction and rendering Interaction management, including gesture control, eye gaze, biosensors and wearables Tracking technologies VR/AR/MR in medicine, including training, surgical simulation, rehabilitation, and tissue/organ modelling. Impactful and original applications and studies of VR/AR/MR’s utility in areas such as manufacturing, business, telecommunications, arts, education, design, entertainment and defence Research demonstrating new techniques and approaches to designing, building and evaluating virtual and augmented reality systems Original research studies assessing the social, ethical, data or legal aspects of VR/AR/MR.
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