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[计算机辅助在眼眶重建及功能保留手术中的应用。计算机辅助术前手术规划(CAPP)和计算机辅助手术(CAS)的新功能]

[Computer assisted methods in reconstructive and function-preserving orbital surgery. New capabilities of computer assisted preoperative surgical planning (CAPP) and computer assisted surgery (CAS)].

作者信息

Zizelmann C, Schramm A, Schön R, Ridder G J, Maier W, Schipper J, Gellrich N-C

机构信息

Arbeitsgruppe Interdisziplinäre rekonstruktive funktionserhaltende Orbitachirurgie, Universitätsklinikum Freiburg.

出版信息

HNO. 2005 May;53(5):428-38. doi: 10.1007/s00106-004-1178-x.

Abstract

BACKGROUND

Orbital reconstruction after tumor or trauma makes high demands on the surgeon when restoring the optic axis and cosmetic features. Computer-assisted preoperative planning surgery (CAPP) and computer-assisted surgery (CAS) allow calculation of the form of the orbital cavity to be reconstructed preoperatively as well as the process of its realization intraoperatively.

METHODS

We developed new planning software methods for this surgical procedure. For validation the deviation of accuracy was assessed between the virtual and the real model in eight patients with surgical reconstruction of the orbit.

RESULTS

The check of accuracy of the reconstructions compared to the planning of the surgery by fusion of preoperative and postoperative data resulted in a mean deviation of 1.74 mm. The volumetric measurements presented a mean deviation of 0.2 cm(3) with an accuracy of >99%. The accuracy of linear measurements with the techniques of image fusion of the "feature-based" method was 0.38 mm and thus close to the technical threshold of effective data accuracy of 0.35 mm. The enophthalmus could be assessed more objectively with this method compared to using the Hertel index.

CONCLUSIONS

CAPP and CAS are helpful in reconstructive orbital surgery to verify the position of the optic axis and the cosmetic result intraoperatively.

摘要

背景

肿瘤或创伤后的眼眶重建在恢复视轴和外观特征方面对外科医生有很高要求。计算机辅助术前规划手术(CAPP)和计算机辅助手术(CAS)能够在术前计算出拟重建的眼眶腔的形态,并在术中实现该过程。

方法

我们针对该手术开发了新的规划软件方法。为进行验证,对8例眼眶手术重建患者的虚拟模型与真实模型之间的精度偏差进行了评估。

结果

通过术前和术后数据融合,将重建结果与手术规划进行准确性检查,平均偏差为1.74毫米。体积测量的平均偏差为0.2立方厘米,准确率>99%。“基于特征”方法的图像融合技术进行线性测量的精度为0.38毫米,因此接近有效数据精度0.35毫米的技术阈值。与使用Hertel指数相比,该方法能更客观地评估眼球内陷情况。

结论

CAPP和CAS有助于眼眶重建手术术中对视轴位置和外观效果进行验证。

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