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与传统视觉治疗目标相比,计算机辅助手术视觉治疗目标的预测准确性。

Prediction accuracy of computer-assisted surgical visual treatment objectives as compared with conventional visual treatment objectives.

作者信息

Gossett Christel Buck, Preston C Brian, Dunford Robert, Lampasso Judith

机构信息

Department of Orthodontics, State University of New York School of Dental Medicine, Buffalo, USA.

出版信息

J Oral Maxillofac Surg. 2005 May;63(5):609-17. doi: 10.1016/j.joms.2005.01.004.

Abstract

PURPOSE

This present study used the conventional visualized treatment objectives (VTOs) as a tool to evaluate the predictive value of the Dolphin computer-assisted VTOs.

MATERIALS AND METHODS

Presurgical cephalometric tracing predictions generated by oral and maxillofacial surgeons and the Dolphin Imaging software were compared with the postsurgical outcome as seen on lateral cephalometric tracings. Sixteen measurements of the predicted and actual postsurgical hard tissue landmarks were compared statistically.

RESULTS

A paired Student's t test showed that 7 measurements had statistically significant differences for the conventional VTOs (facial angle, P < .0001; AOC, P < .0001; SNB, P = .003; ANB, P = .004; U1-NA-degrees, P = .01; U1-NA-mm, P = .02; and N perp Pog, P < .0001), while 9 measurements were statistically significant ( P = <.0001) for Dolphin (facial angle, P = .0001; AOC, P = .005; SNB, P = .001; ANB, I = .04; U1-NA-degrees, P = .003; PogNB, P = .04; U1-NA-mm, P = .002; N perp Pog, P = .0001; UFH, P = .03; and LFH, P = .03).

CONCLUSION

From these data, it appears that both VTOs demonstrated good predictive comparative outcome and are equally precise.

摘要

目的

本研究采用传统的可视化治疗目标(VTOs)作为工具,评估海豚计算机辅助VTOs的预测价值。

材料与方法

将口腔颌面外科医生和海豚影像软件生成的术前头影测量预测结果与术后侧位头影测量结果进行比较。对预测和实际术后硬组织标志点的16项测量结果进行统计学比较。

结果

配对t检验显示,传统VTOs有7项测量结果存在统计学显著差异(面角,P <.0001;AOC,P <.0001;SNB,P =.003;ANB,P =.004;U1-NA-度数,P =.01;U1-NA-毫米,P =.02;N⊥Pog,P <.0001),而海豚软件的9项测量结果具有统计学显著性(P =<.0001)(面角,P =.0001;AOC,P =.005;SNB,P =.001;ANB,I =.04;U1-NA-度数,P =.003;PogNB,P =.04;U1-NA-毫米,P =.002;N⊥Pog,P =.0001;UFH,P =.03;LFH,P =.03)。

结论

从这些数据来看,两种VTOs都显示出良好的预测性比较结果,且精度相当。

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