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磁共振成像可视化模板与针道靶点定位

Template for MR Visualization and Needle Targeting.

机构信息

School of Electrical and Computer Engineering, University of Georgia, Athens, GA, USA.

Center for Interventional Oncology, National Institutes of Health, Bethesda, MD, USA.

出版信息

Ann Biomed Eng. 2019 Feb;47(2):524-536. doi: 10.1007/s10439-018-02167-z. Epub 2018 Nov 28.

Abstract

To improve the targeting accuracy and reduce procedure time in magnetic resonance imaging (MRI)-guided procedures, a 3D-printed flexible template was developed. The template was printed using flexible photopolymer resin FLFLGR02 in Form 2 printer (Formlabs, Inc., Somerville, MA). The flexible material gives the template a unique advantage by allowing it to make close contact with human skin and provide accurate insertion with the help of the newly developed OncoNav software. At the back of the template, there is a grid comprised of circular containers filled with contrast agent. At the front of the template, the guide holes between the containers provide space and angular flexibility for needle insertion. MRI scans are initially used to identify tumor position as well as the template location. The OncoNav software then pre-selects a best guide hole for targeting a specific lesion and suggests insertion depth for the physician A phantom study of 13 insertions in a CT scanner was carried out for assessing needle placement accuracy. The mean total distance error between planned and actual insertion is 2.7 mm, the maximum error was 4.78 mm and standard deviation was 1.1 mm. The accuracy of the OncoNav-assisted and template-guided needle targeting is comparable to the robot-assisted procedure. The proposed template is a low-cost, quickly-deployable and disposable medical device. The presented technology will be further evaluated in prostate cancer patients to quantify its accuracy in needle biopsy.

摘要

为了提高磁共振成像(MRI)引导手术中的靶向准确性并减少手术时间,开发了一种 3D 打印的柔性模板。该模板使用 Form 2 打印机(Formlabs,Inc.,马萨诸塞州萨默维尔)中的柔性光聚合物树脂 FLFLGR02 进行打印。柔性材料使模板具有独特的优势,它可以与人体皮肤紧密接触,并在新开发的 OncoNav 软件的帮助下实现准确插入。在模板的背面,有一个由充满对比剂的圆形容器组成的网格。在模板的正面,容器之间的导孔为插入针提供了空间和角度灵活性。最初使用 MRI 扫描来确定肿瘤位置和模板位置。然后,OncoNav 软件会预选一个最佳导孔,以针对特定病变进行靶向,并为医生建议插入深度。在 CT 扫描仪中进行了 13 次插入的体模研究,以评估针的放置准确性。计划插入和实际插入之间的总距离误差平均值为 2.7 毫米,最大误差为 4.78 毫米,标准偏差为 1.1 毫米。OncoNav 辅助和模板引导的针靶向的准确性可与机器人辅助手术相媲美。所提出的模板是一种低成本、快速部署和一次性使用的医疗设备。该技术将进一步在前列腺癌患者中进行评估,以量化其在针活检中的准确性。

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本文引用的文献

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