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使用交互式计算机图形技术预测神经血管减压手术视野

Prediction of surgical view of neurovascular decompression using interactive computer graphics.

作者信息

Kin Taichi, Oyama Hiroshi, Kamada Kyousuke, Aoki Shigeki, Ohtomo Kuni, Saito Nobuhito

机构信息

Department of Neurosurgery, University of Tokyo, Tokyo, Japan.

出版信息

Neurosurgery. 2009 Jul;65(1):121-8; discussion 128-9. doi: 10.1227/01.NEU.0000347890.19718.0A.

Abstract

OBJECTIVE

To assess the value of an interactive visualization method for detecting the offending vessels in neurovascular compression syndrome in patients with facial spasm and trigeminal neuralgia. Computer graphics models are created by fusion of fast imaging employing steady-state acquisition and magnetic resonance angiography.

METHODS

High-resolution magnetic resonance angiography and fast imaging employing steady-state acquisition were performed preoperatively in 17 patients with neurovascular compression syndromes (facial spasm, n = 10; trigeminal neuralgia, n = 7) using a 3.0-T magnetic resonance imaging scanner. Computer graphics models were created with computer software and observed interactively for detection of offending vessels by rotation, enlargement, reduction, and retraction on a graphic workstation. Two-dimensional images were reviewed by 2 radiologists blinded to the clinical details, and 2 neurosurgeons predicted the offending vessel with the interactive visualization method before surgery. Predictions from the 2 imaging approaches were compared with surgical findings. The vessels identified during surgery were assumed to be the true offending vessels.

RESULTS

Offending vessels were identified correctly in 16 of 17 patients (94%) using the interactive visualization method and in 10 of 17 patients using 2-dimensional images. These data demonstrated a significant difference (P = 0.015 by Fisher's exact method).

CONCLUSION

The interactive visualization method data corresponded well with surgical findings (surgical field, offending vessels, and nerves). Virtual reality 3-dimensional computer graphics using fusion magnetic resonance angiography and fast imaging employing steady-state acquisition may be helpful for preoperative simulation.

摘要

目的

评估一种交互式可视化方法在检测面肌痉挛和三叉神经痛患者神经血管压迫综合征中肇事血管的价值。通过融合采用稳态采集的快速成像和磁共振血管造影来创建计算机图形模型。

方法

使用3.0-T磁共振成像扫描仪对17例神经血管压迫综合征患者(面肌痉挛10例;三叉神经痛7例)术前进行高分辨率磁共振血管造影和采用稳态采集的快速成像。利用计算机软件创建计算机图形模型,并在图形工作站上通过旋转、放大、缩小和回撤进行交互式观察以检测肇事血管。由2名对临床细节不知情的放射科医生审查二维图像,2名神经外科医生在手术前用交互式可视化方法预测肇事血管。将这两种成像方法的预测结果与手术结果进行比较。手术中识别出的血管被假定为真正的肇事血管。

结果

使用交互式可视化方法在17例患者中的16例(94%)正确识别出肇事血管,使用二维图像在17例患者中的10例识别出肇事血管。这些数据显示出显著差异(Fisher精确检验法,P = 0.015)。

结论

交互式可视化方法的数据与手术结果(手术视野、肇事血管和神经)吻合良好。使用融合磁共振血管造影和采用稳态采集的快速成像的虚拟现实三维计算机图形可能有助于术前模拟。

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