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人工智能夹板在骨性 III 类错颌畸形正颌手术中的设计与应用。

Artificial Intelligence Splint in Orthognathic Surgery for Skeletal Class III Malocclusion: Design and Application.

机构信息

State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University.

Department of Stomatology, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, Chengdu, China.

出版信息

J Craniofac Surg. 2023;34(2):698-703. doi: 10.1097/SCS.0000000000009162. Epub 2023 Jan 9.

Abstract

BACKGROUND

Digital splints are indispensable in orthognathic surgery. However, the present design process of splints is time-consuming and has low reproducibility. To solve these problems, an algorithm for artificial intelligent splints has been developed in this study, making the automatic design of splints accessible.

METHODS

Firstly, the algorithm and program of the artificial intelligence splint were created. Then a total of 54 patients with skeletal class III malocclusion were included in this study from 2018 to 2020. Pre and postoperative radiographic examinations were performed. The cephalometric measurements were recorded and the difference between virtual simulation and postoperative images was measured. The time cost and differences between artificial intelligent splints and digital splints were analyzed through both model surgery and radiographic images.

RESULTS

The results showed that the efficiency of designing splints is significantly improved. And the mean difference between artificial intelligent splints and digital splints was <0.15 mm in model surgery. Meanwhile, there was no significant difference between the artificial intelligent splints and digital splints in radiological image analysis.

CONCLUSIONS

In conclusion, compared with digital splints, artificial intelligent splints could save time for preoperative design while ensuring accuracy. The authors believed that it is conducive to the presurgical design of orthognathic surgery.

摘要

背景

数字化牙颌夹板在正颌外科中不可或缺。然而,目前夹板的设计过程既费时又低重现性。为了解决这些问题,本研究开发了一种人工智能夹板算法,使夹板的自动设计成为可能。

方法

首先,创建了人工智能夹板的算法和程序。然后,从 2018 年到 2020 年,共纳入了 54 例骨骼 III 类错畸形患者。进行术前和术后影像学检查。记录头影测量数据,并测量虚拟模拟与术后图像之间的差异。通过模型手术和影像学图像分析,分析人工智能夹板和数字化夹板的时间成本和差异。

结果

结果表明,设计夹板的效率显著提高。在模型手术中,人工智能夹板和数字化夹板的平均差异<0.15mm。同时,在影像学图像分析中,人工智能夹板和数字化夹板之间没有显著差异。

结论

总之,与数字化夹板相比,人工智能夹板可以节省术前设计时间,同时保证准确性。作者认为这有助于正颌外科的术前设计。

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