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海豚软件预测 I 类错颌固定正畸患者软组织侧貌的准确性。

Prediction accuracy of Dolphin software for soft-tissue profile in Class I patients undergoing fixed orthodontic treatment.

机构信息

Orthodontist, private office, Hamadan, Iran.

Dentist, private office, Hamadan, Iran.

出版信息

J World Fed Orthod. 2022 Feb;11(1):29-35. doi: 10.1016/j.ejwf.2021.10.001. Epub 2021 Oct 31.

DOI:10.1016/j.ejwf.2021.10.001
PMID:34728153
Abstract

BACKGROUND

Simulation and prediction can facilitate the decision between an extraction versus nonextraction treatment plan. This study aimed to assess the accuracy of Dolphin Imaging software in predicting profile changes in class I borderline cases.

METHODS

In this retrospective study, class I borderline patients (i.e., both extraction and nonextraction treatment plans were possible for them) aged 15-35 years were enrolled. All of the cephalometric analyses were done by Dolphin Imaging software, version 11.8 Premium. The initial cephalograms were superimposed on initial photographs. The final values for the 7 angular and linear landmarks of the upper and lower incisors were extracted from post-treatment cephalograms and inserted in the "Goals" tab of the Dolphin Imaging software. Post-treatment images of patients were simulated. Final post-treatment photographs were superimposed on the simulated pictures. The differences between the real and simulated pictures were calculated in relation to the reference lines. The P value was set at 0.05.

RESULTS

A total of 70 patients (36 with tooth extraction, and 34 without tooth extraction) were included. In the extraction group, the horizontal position of both lips was predicted to be significantly more protruded than it actually was, whereas in the nonextraction group, the only difference between the simulated and actual results was that the vertical position of the lower lip, which was simulated as being more inferior than it actually was.

CONCLUSIONS

Despite the statistically significant differences between the real and simulated pictures, the differences were small and clinically insignificant. Prediction via Dolphin Imaging software can be an appropriate guide in extraction-nonextraction borderline cases.

摘要

背景

模拟和预测可以帮助在拔牙和不拔牙治疗方案之间做出决策。本研究旨在评估 Dolphin Imaging 软件预测 I 类边缘病例(即拔牙和不拔牙治疗方案都可行)的侧貌变化的准确性。

方法

在这项回顾性研究中,纳入了年龄在 15-35 岁之间的 I 类边缘性患者(即他们既可以拔牙也可以不拔牙)。所有的头影测量分析均由 Dolphin Imaging 软件版本 11.8 Premium 完成。初始头影测量片与初始照片进行重叠。从治疗后的头影测量片中提取上、下切牙 7 个角度和线性标志点的最终值,并将其插入 Dolphin Imaging 软件的“目标”选项卡中。对患者的治疗后图像进行模拟。将治疗后的实际照片与模拟照片进行重叠。在参考线的基础上,计算实际和模拟图像之间的差异。P 值设为 0.05。

结果

共有 70 名患者(36 名拔牙,34 名不拔牙)被纳入研究。在拔牙组中,上下唇的水平位置被预测为明显更突出,而在不拔牙组中,模拟和实际结果之间的唯一区别是,下唇的垂直位置,模拟结果比实际更向下。

结论

尽管实际和模拟图像之间存在统计学上的显著差异,但差异较小且临床意义不大。通过 Dolphin Imaging 软件进行预测,可以作为拔牙与不拔牙边缘病例的适当指导。

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