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图像引导的腹腔镜手术。综述与现状。

Image-guided laparoscopic surgery. Review and current status.

作者信息

Mårvik R, Langø T, Tangen G A, Lindseth F, Yavuz Y, Nagelhus Hernes T A

机构信息

National Centre for Advanced Laparoscopic Surgery, Deptartment of Surgery, St. Olav's Hospital, Trondheim, Norway.

出版信息

Minerva Chir. 2005 Oct;60(5):305-25.

PMID:16210982
Abstract

The main drawback with laparoscopic surgery is that the surgeon is unable to palpate vessels, tumours and organs during surgery. Further-more, the laparoscope only provides a surface view of organs. There is a need for more advanced visualizations techniques that can enhance the display presented to the surgeon so that important information below the surface of the organs is included when planning the procedure as well as for guidance and control during treatment. In this paper, we present a review of the literature and the state of art within image-guided laparoscopic surgery. We describe our own experience using a prototype navigation system for advanced visualizations and guidance during laparoscopic procedures in the retroperitoneum. Furthermore, we show sample images from the Future Operating Room for laparoscopic surgery in Trondheim, where this technology is being further developed and tested in clinical studies. Our system is based on three-dimensional navigation technology, i.e. preoperatively acquired magnetic resonance or computed tomography data used in combination with tracked instruments, allowing the surgeon to interactively control the display of images prior to and during surgery with normal use of the instruments. In summary, we believe that abdominal image navigation using tracked instruments and advanced visualizations has a large potential for improving future laparoscopic surgery, especially in cases where vessels and anatomical relations beyond surfaces is difficult to identify using only a laparoscope. The technology helps the surgeon to better understand the anatomy and locate blood vessels. Accordingly, we believe that this new technology could increase safety and make it easier for the surgeon to perform successful laparoscopic surgery.

摘要

腹腔镜手术的主要缺点是,外科医生在手术过程中无法触摸血管、肿瘤和器官。此外,腹腔镜仅能提供器官的表面视图。需要更先进的可视化技术,以增强呈现给外科医生的显示效果,以便在规划手术过程时纳入器官表面以下的重要信息,并在治疗过程中用于引导和控制。在本文中,我们对图像引导腹腔镜手术的文献和技术现状进行了综述。我们描述了在腹膜后腹腔镜手术过程中,使用先进可视化和引导的原型导航系统的自身经验。此外,我们展示了来自特隆赫姆未来手术室的腹腔镜手术样本图像,该技术正在那里的临床研究中进一步开发和测试。我们的系统基于三维导航技术,即术前获取的磁共振或计算机断层扫描数据与跟踪仪器相结合,使外科医生在手术前和手术过程中正常使用仪器时能够交互式地控制图像显示。总之,我们认为,使用跟踪仪器和先进可视化技术的腹部图像导航在改善未来腹腔镜手术方面具有巨大潜力,尤其是在仅使用腹腔镜难以识别表面以外的血管和解剖关系的情况下。该技术有助于外科医生更好地了解解剖结构并定位血管。因此,我们相信这项新技术可以提高安全性,并使外科医生更容易成功地进行腹腔镜手术。

相似文献

1
Image-guided laparoscopic surgery. Review and current status.图像引导的腹腔镜手术。综述与现状。
Minerva Chir. 2005 Oct;60(5):305-25.
2
[3-D navigation in laparoscopic surgery].
Tidsskr Nor Laegeforen. 2004 Mar 4;124(5):617-9.
3
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Navigation in laparoscopy--prototype research platform for improved image-guided surgery.腹腔镜手术中的导航——用于改进图像引导手术的原型研究平台。
Minim Invasive Ther Allied Technol. 2008;17(1):17-33. doi: 10.1080/13645700701797879.
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Navigated ultrasound in laparoscopic surgery.腹腔镜手术中的导航超声
Minim Invasive Ther Allied Technol. 2009;18(1):36-53. doi: 10.1080/13645700802383975.
6
Impact of a self-developed planning and self-constructed navigation system on skull base surgery: 10 years experience.自主研发的规划与自建导航系统对颅底手术的影响:10年经验
Acta Otolaryngol. 2007 Apr;127(4):403-7. doi: 10.1080/00016480601002104.
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Toward image guided robotic surgery: system validation.迈向图像引导机器人手术:系统验证。
J Urol. 2009 Feb;181(2):783-9; discussion 789-90. doi: 10.1016/j.juro.2008.10.022. Epub 2008 Dec 16.
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Image-guided surgery in minimally invasive urology.图像引导手术在微创泌尿外科中的应用。
Curr Opin Urol. 2010 Mar;20(2):136-40. doi: 10.1097/MOU.0b013e3283362610.
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Computer-based endoscopic image-processing technology for endourology and laparoscopic surgery.用于腔内泌尿外科和腹腔镜手术的基于计算机的内镜图像处理技术。
Int J Urol. 2009 Jun;16(6):533-43. doi: 10.1111/j.1442-2042.2009.02258.x. Epub 2009 Feb 17.
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EndoCAS navigator platform: a common platform for computer and robotic assistance in minimally invasive surgery.EndoCAS导航平台:一种用于微创手术中计算机和机器人辅助的通用平台。
Int J Med Robot. 2008 Sep;4(3):242-51. doi: 10.1002/rcs.203.

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