集成了一种轻量级的台式机器人对准工具,使用机器人锥束CT进行颅内活检和立体定向脑电图,实现了患者对图像的自动配准。

IF 3.3 2区 医学 Q2 CLINICAL NEUROLOGY
Peter Truckenmueller, Anton Früh, Johannes Felix Kissner, Nadja Katharina Moser, Martin Misch, Katharina Faust, Julia Onken, Peter Vajkoczy, Ran Xu
{"title":"集成了一种轻量级的台式机器人对准工具,使用机器人锥束CT进行颅内活检和立体定向脑电图,实现了患者对图像的自动配准。","authors":"Peter Truckenmueller, Anton Früh, Johannes Felix Kissner, Nadja Katharina Moser, Martin Misch, Katharina Faust, Julia Onken, Peter Vajkoczy, Ran Xu","doi":"10.3171/2024.9.FOCUS24525","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Robotics in neurosurgery is becoming increasingly prevalent. The integration of intraoperative imaging for patient registration into workflows of newer robotic systems enhances precision and has further driven their widespread adoption. In this study, the authors report on a lightweight, table-mounted robotic system integrating robotic cone-beam CT (CB-CT) for automated patient registration in cranial biopsies and stereotactic electroencephalography (sEEG).</p><p><strong>Methods: </strong>This prospective cohort study included patients who underwent stereotactic biopsy or sEEG with the Cirq system from January 2023 to August 2024. For patient-to-image registration, an external registration matrix was secured near the patient's head before conducting CB-CT with robotic Artis Pheno. CT was then fused with preoperative planning MRI and used as the navigation dataset. Demographic and clinical data were evaluated, and entry and target errors, as well as vector deviation of sEEG electrodes, were assessed and compared with those of patients who underwent biopsies and sEEG with the frameless VarioGuide system.</p><p><strong>Results: </strong>In 26 Cirq-assisted surgical procedures, robotic CB-CT was used for image registration in 20 cases. Of these, 15 were biopsies (mean ± SD 7 ± 1 specimens) and 5 were sEEG with 31 depth electrodes, compared to 29 VarioGuide biopsies and 3 VarioGuide sEEG cases with 25 electrodes. The mean age was 56 ± 19 years, with a male/female ratio of 1.9:1. Lesion size averaged 19 ± 17 cm3 on T1-weighted imaging and 61 ± 53 cm3 on T2-weighted imaging for Cirq and 14 ± 14 cm3 and 68 ± 47 cm3 for VarioGuide. The mean surgical times were 117 ± 34 minutes for biopsy and 269 ± 54 minutes for sEEG in the Cirq group, with skin-to-skin times of 40 ± 23 minutes for biopsy and 208 ± 74 minutes for sEEG; in comparison, surgical times of 78 ± 21 minutes for biopsy and 218 ± 33 minutes for sEEG were reported with VarioGuide, with skin-to-skin times of 34 ± 13 and 158 ± 27 minutes. No complications occurred. The mean dosage area product was 983 ± 351 µGym2 for biopsies and 1772 ± 968 µGym2 for sEEG. Cirq-assisted sEEG electrodes had mean entry and target errors of 1.4 ± 1.2 mm and 2.6 ± 1.6 mm, compared to 5.3 ± 3.3 mm and 6.5 ± 2.8 mm with VarioGuide. Mean vector deviation was 1.6 ± 0.9 mm with Cirq versus 4.9 ± 2.9 mm with VarioGuide.</p><p><strong>Conclusions: </strong>The integration of a lightweight, table-mounted robotic alignment tool with intraoperative CB-CT for automated patient-to-image registration enables high precision and a seamless workflow. This combination is safe, has a manageable learning curve, and holds potential to replace traditional frame-based and frameless procedures. Its efficiency and accuracy are likely to contribute to the increasing adoption of robotics in neurosurgery.</p>","PeriodicalId":19187,"journal":{"name":"Neurosurgical focus","volume":"57 6","pages":"E2"},"PeriodicalIF":3.3000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integration of a lightweight and table-mounted robotic alignment tool with automated patient-to-image registration using robotic cone-beam CT for intracranial biopsies and stereotactic electroencephalography.\",\"authors\":\"Peter Truckenmueller, Anton Früh, Johannes Felix Kissner, Nadja Katharina Moser, Martin Misch, Katharina Faust, Julia Onken, Peter Vajkoczy, Ran Xu\",\"doi\":\"10.3171/2024.9.FOCUS24525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Robotics in neurosurgery is becoming increasingly prevalent. The integration of intraoperative imaging for patient registration into workflows of newer robotic systems enhances precision and has further driven their widespread adoption. In this study, the authors report on a lightweight, table-mounted robotic system integrating robotic cone-beam CT (CB-CT) for automated patient registration in cranial biopsies and stereotactic electroencephalography (sEEG).</p><p><strong>Methods: </strong>This prospective cohort study included patients who underwent stereotactic biopsy or sEEG with the Cirq system from January 2023 to August 2024. For patient-to-image registration, an external registration matrix was secured near the patient's head before conducting CB-CT with robotic Artis Pheno. CT was then fused with preoperative planning MRI and used as the navigation dataset. Demographic and clinical data were evaluated, and entry and target errors, as well as vector deviation of sEEG electrodes, were assessed and compared with those of patients who underwent biopsies and sEEG with the frameless VarioGuide system.</p><p><strong>Results: </strong>In 26 Cirq-assisted surgical procedures, robotic CB-CT was used for image registration in 20 cases. Of these, 15 were biopsies (mean ± SD 7 ± 1 specimens) and 5 were sEEG with 31 depth electrodes, compared to 29 VarioGuide biopsies and 3 VarioGuide sEEG cases with 25 electrodes. The mean age was 56 ± 19 years, with a male/female ratio of 1.9:1. Lesion size averaged 19 ± 17 cm3 on T1-weighted imaging and 61 ± 53 cm3 on T2-weighted imaging for Cirq and 14 ± 14 cm3 and 68 ± 47 cm3 for VarioGuide. The mean surgical times were 117 ± 34 minutes for biopsy and 269 ± 54 minutes for sEEG in the Cirq group, with skin-to-skin times of 40 ± 23 minutes for biopsy and 208 ± 74 minutes for sEEG; in comparison, surgical times of 78 ± 21 minutes for biopsy and 218 ± 33 minutes for sEEG were reported with VarioGuide, with skin-to-skin times of 34 ± 13 and 158 ± 27 minutes. No complications occurred. The mean dosage area product was 983 ± 351 µGym2 for biopsies and 1772 ± 968 µGym2 for sEEG. Cirq-assisted sEEG electrodes had mean entry and target errors of 1.4 ± 1.2 mm and 2.6 ± 1.6 mm, compared to 5.3 ± 3.3 mm and 6.5 ± 2.8 mm with VarioGuide. Mean vector deviation was 1.6 ± 0.9 mm with Cirq versus 4.9 ± 2.9 mm with VarioGuide.</p><p><strong>Conclusions: </strong>The integration of a lightweight, table-mounted robotic alignment tool with intraoperative CB-CT for automated patient-to-image registration enables high precision and a seamless workflow. This combination is safe, has a manageable learning curve, and holds potential to replace traditional frame-based and frameless procedures. Its efficiency and accuracy are likely to contribute to the increasing adoption of robotics in neurosurgery.</p>\",\"PeriodicalId\":19187,\"journal\":{\"name\":\"Neurosurgical focus\",\"volume\":\"57 6\",\"pages\":\"E2\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neurosurgical focus\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3171/2024.9.FOCUS24525\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurosurgical focus","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3171/2024.9.FOCUS24525","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目的:机器人技术在神经外科中的应用越来越广泛。将患者登记的术中成像集成到新机器人系统的工作流程中,提高了精度,并进一步推动了它们的广泛采用。在这项研究中,作者报告了一种轻量级的桌面安装机器人系统,该系统集成了机器人锥束CT (CB-CT),用于颅活检和立体定向脑电图(sEEG)的自动患者登记。方法:这项前瞻性队列研究纳入了2023年1月至2024年8月期间使用Cirq系统进行立体定向活检或sEEG的患者。对于患者到图像的配准,在使用机器人Artis Pheno进行CB-CT之前,在患者头部附近固定一个外部配准矩阵。然后将CT与术前规划MRI融合作为导航数据集。对人口统计学和临床数据进行评估,对sEEG电极的输入和靶误差以及矢量偏差进行评估,并与使用无框架VarioGuide系统进行活检和sEEG的患者进行比较。结果:在26例cirq辅助手术中,20例使用机器人CB-CT进行图像配准。其中15例活检(平均±SD 7±1例),5例sEEG,采用31个深度电极,而VarioGuide活检29例,VarioGuide sEEG 3例,采用25个电极。平均年龄56±19岁,男女比例为1.9:1。Cirq的t1加权成像病灶大小平均为19±17 cm3, t2加权成像为61±53 cm3, VarioGuide的病变大小平均为14±14 cm3和68±47 cm3。Cirq组活检的平均手术时间为117±34分钟,sEEG的平均手术时间为269±54分钟,活检的皮肤对皮肤时间为40±23分钟,sEEG的皮肤对皮肤时间为208±74分钟;相比之下,VarioGuide的活检手术时间为78±21分钟,sEEG手术时间为218±33分钟,皮肤对皮肤时间分别为34±13分钟和158±27分钟。无并发症发生。活检的平均剂量面积积为983±351µGym2, sEEG的平均剂量面积积为1772±968µGym2。cirq辅助sEEG电极的平均进入和目标误差分别为1.4±1.2 mm和2.6±1.6 mm,而VarioGuide电极的平均进入和目标误差分别为5.3±3.3 mm和6.5±2.8 mm。Cirq的平均矢量偏差为1.6±0.9 mm, VarioGuide为4.9±2.9 mm。结论:将一种轻量级的台式机器人对齐工具与术中CB-CT相结合,实现患者与图像的自动配准,实现了高精度和无缝的工作流程。这种组合是安全的,具有可管理的学习曲线,并具有取代传统的基于框架和无框架程序的潜力。它的效率和准确性可能有助于神经外科越来越多地采用机器人技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of a lightweight and table-mounted robotic alignment tool with automated patient-to-image registration using robotic cone-beam CT for intracranial biopsies and stereotactic electroencephalography.

Objective: Robotics in neurosurgery is becoming increasingly prevalent. The integration of intraoperative imaging for patient registration into workflows of newer robotic systems enhances precision and has further driven their widespread adoption. In this study, the authors report on a lightweight, table-mounted robotic system integrating robotic cone-beam CT (CB-CT) for automated patient registration in cranial biopsies and stereotactic electroencephalography (sEEG).

Methods: This prospective cohort study included patients who underwent stereotactic biopsy or sEEG with the Cirq system from January 2023 to August 2024. For patient-to-image registration, an external registration matrix was secured near the patient's head before conducting CB-CT with robotic Artis Pheno. CT was then fused with preoperative planning MRI and used as the navigation dataset. Demographic and clinical data were evaluated, and entry and target errors, as well as vector deviation of sEEG electrodes, were assessed and compared with those of patients who underwent biopsies and sEEG with the frameless VarioGuide system.

Results: In 26 Cirq-assisted surgical procedures, robotic CB-CT was used for image registration in 20 cases. Of these, 15 were biopsies (mean ± SD 7 ± 1 specimens) and 5 were sEEG with 31 depth electrodes, compared to 29 VarioGuide biopsies and 3 VarioGuide sEEG cases with 25 electrodes. The mean age was 56 ± 19 years, with a male/female ratio of 1.9:1. Lesion size averaged 19 ± 17 cm3 on T1-weighted imaging and 61 ± 53 cm3 on T2-weighted imaging for Cirq and 14 ± 14 cm3 and 68 ± 47 cm3 for VarioGuide. The mean surgical times were 117 ± 34 minutes for biopsy and 269 ± 54 minutes for sEEG in the Cirq group, with skin-to-skin times of 40 ± 23 minutes for biopsy and 208 ± 74 minutes for sEEG; in comparison, surgical times of 78 ± 21 minutes for biopsy and 218 ± 33 minutes for sEEG were reported with VarioGuide, with skin-to-skin times of 34 ± 13 and 158 ± 27 minutes. No complications occurred. The mean dosage area product was 983 ± 351 µGym2 for biopsies and 1772 ± 968 µGym2 for sEEG. Cirq-assisted sEEG electrodes had mean entry and target errors of 1.4 ± 1.2 mm and 2.6 ± 1.6 mm, compared to 5.3 ± 3.3 mm and 6.5 ± 2.8 mm with VarioGuide. Mean vector deviation was 1.6 ± 0.9 mm with Cirq versus 4.9 ± 2.9 mm with VarioGuide.

Conclusions: The integration of a lightweight, table-mounted robotic alignment tool with intraoperative CB-CT for automated patient-to-image registration enables high precision and a seamless workflow. This combination is safe, has a manageable learning curve, and holds potential to replace traditional frame-based and frameless procedures. Its efficiency and accuracy are likely to contribute to the increasing adoption of robotics in neurosurgery.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Neurosurgical focus
Neurosurgical focus CLINICAL NEUROLOGY-SURGERY
CiteScore
6.30
自引率
0.00%
发文量
261
审稿时长
3 months
期刊介绍: Information not localized
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信