Literature DB >> 19319471

Surgical planning for microsurgical excision of cerebral arterio-venous malformations using virtual reality technology.

Ivan Ng1, Peter Y K Hwang, Dinesh Kumar, Cheng Kiang Lee, Ralf A Kockro, Y Y Sitoh.   

Abstract

BACKGROUND: To evaluate the feasibility of surgical planning using a virtual reality platform workstation in the treatment of cerebral arterio-venous malformations (AVMs)
METHODS: Patient-specific data of multiple imaging modalities were co-registered, fused and displayed as a 3D stereoscopic object on the Dextroscope, a virtual reality surgical planning platform. This system allows for manipulation of 3D data and for the user to evaluate and appreciate the angio-architecture of the nidus with regards to position and spatial relationships of critical feeders and draining veins. We evaluated the ability of the Dextroscope to influence surgical planning by providing a better understanding of the angio-architecture as well as its impact on the surgeon's pre- and intra-operative confidence and ability to tackle these lesions.
FINDINGS: Twenty four patients were studied. The mean age was 29.65 years. Following pre-surgical planning on the Dextroscope, 23 patients underwent microsurgical resection after pre-surgical virtual reality planning, during which all had documented complete resection of the AVM. Planning on the virtual reality platform allowed for identification of critical feeders and draining vessels in all patients. The appreciation of the complex patient specific angio-architecture to establish a surgical plan was found to be invaluable in the conduct of the procedure and was found to enhance the surgeon's confidence significantly.
CONCLUSION: Surgical planning of resection of an AVM with a virtual reality system allowed detailed and comprehensive analysis of 3D multi-modality imaging data and, in our experience, proved very helpful in establishing a good surgical strategy, enhancing intra-operative spatial orientation and increasing surgeon's confidence.

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Year:  2009        PMID: 19319471     DOI: 10.1007/s00701-009-0278-5

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  7 in total

1.  Presurgical planning for arteriovenous malformations using multidetector row CT.

Authors:  Takeshi Mikami; Tohru Hirano; Toshiya Sugino; Kei Miyata; Satoshi Iihoshi; Masahiko Wanibuchi; Nobuhiro Mikuni
Journal:  Neurosurg Rev       Date:  2012-03-23       Impact factor: 3.042

2.  Neurosurgical craniotomy localization using a virtual reality planning system versus intraoperative image-guided navigation.

Authors:  Axel T Stadie; Ralf A Kockro; Luis Serra; Gerrit Fischer; Eike Schwandt; Peter Grunert; Robert Reisch
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-09-01       Impact factor: 2.924

3.  Human-computer interaction in radiotherapy target volume delineation: a prospective, multi-institutional comparison of user input devices.

Authors: 
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

4.  [Application of diffusion tensor imaging combined with virtual reality three-dimensional reconstruction in the operation of gliomas involved eloquent regions].

Authors:  S H Chen; J Yang; H B Han; D H Cui; J J Sun; C C Ma; Q Y He; G Z Lin; Y F Han; C Wu; K M Ma; Y B Zhang
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2019-06-18

5.  Virtual reality training in neurosurgery: Review of current status and future applications.

Authors:  Ali Alaraj; Michael G Lemole; Joshua H Finkle; Rachel Yudkowsky; Adam Wallace; Cristian Luciano; P Pat Banerjee; Silvio H Rizzi; Fady T Charbel
Journal:  Surg Neurol Int       Date:  2011-04-28

6.  Virtual embolization for treatment support of intracranial AVMs using an interactive desktop and VR application.

Authors:  Ulrike Sprengel; Patrick Saalfeld; Janneck Stahl; Sarah Mittenentzwei; Moritz Drittel; Benjamin Behrendt; Naoki Kaneko; Daniel Behme; Philipp Berg; Bernhard Preim; Sylvia Saalfeld
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-11-22       Impact factor: 2.924

7.  Stereoscopic virtual reality models for planning tumor resection in the sellar region.

Authors:  Shou-sen Wang; Shang-ming Zhang; Jun-jie Jing
Journal:  BMC Neurol       Date:  2012-11-28       Impact factor: 2.474

  7 in total

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