《口腔颌面外科杂志》 ›› 2024, Vol. 34 ›› Issue (2): 115-121. doi: 10.12439/kqhm.1005-4979.2024.02.006

• 临床研究 • 上一篇    下一篇

人工智能正颌手术板的设计与精确性评价

刘志凯1(), 许春炜2, 朱照琨1, 刘瑶1, 罗恩1()   

  1. 1 口腔疾病防治全国重点实验室,国家口腔医学中心,国家口腔疾病临床医学研究中心,四川大学华西口腔医院,成都 610041
    2 四川省医学科学院四川省人民医院口腔科,成都 610072
  • 收稿日期:2022-09-27 接受日期:2022-12-09 出版日期:2024-04-28 发布日期:2024-04-29
  • 通讯作者: 罗恩,教授. E-mail:luoen521125@sina.com
  • 作者简介:
    刘志凯,住院医师. E-mail:
  • 基金资助:
    四川省科技计划项目(2022YFS0038); 四川大学华西口腔医院探索与研发项目(LCYJ2019-20)

Design and accuracy evaluation of AI orthognathic surgery plates

LIU Zhikai1(), XU Chunwei2, ZHU Zhaokun1, LIU Yao1, LUO En1()   

  1. 1 State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041
    2 Department of Stomatology, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, Chengdu 610072, China
  • Received:2022-09-27 Accepted:2022-12-09 Online:2024-04-28 Published:2024-04-29

摘要:

目的: 建立基于人工智能(artificial intelligence,AI)的正颌外科手术板设计方法,并比较其与普通数字化板的精度差异。方法: 通过相关软件程序建立正颌外科手术板的设计算法,得到可用的板自动设计程序,比较同一病例进行手术板设计所需时间。将40例骨性Ⅱ类错颌畸形患者(20例单颌,20例双颌)咬合模型纳入比较,分别由AI软件和人工数字化软件设计并打印手术板。将同一组模型分别戴入AI板与普通板后扫描获取数字化数据,比较整体偏差与部分牙尖位置偏差。结果: 牙列模型整体偏差分析结果显示,整体偏差均小于0.1 mm,表示AI板与普通板在引导模型就位上未见明显区别;牙尖位置偏差比较显示,AI板与普通板偏差距离均值约为0.10~0.14 mm;使用AI软件在单颌手术[(10.7±2.4)s]和双颌手术[(21.5±3.9)s]板设计中均可极大减少设计所需时间。结论: AI板精度与普通板相比,未见明显差异,同时其能够提升正颌手术板的设计效率。

关键词: 牙颌面畸形, 人工智能, 正颌外科, 数字化外科

Abstract:

Objective: To establish a design program for orthognathic surgical splints based on artificial intelligence (AI), and to compare the precision between the AI splints and manual digital splints. Methods: This research established an AI algorithm for orthognathic surgical splints and obtained the available automatic design program. The time required for designing surgical splints in the same case was compared. Besides, 40 dentition models of patients with skeletal Class Ⅱ malocclusion (20 for mandibular surgery, and 20 for bimaxillary surgery) were included for comparison. The splints were designed by AI program and manual digital software respectively and scanned for the digital data to compare the difference. Results: The overall deviation between the AI and manual digital splints in guiding the positioning of the models was less than 0.1 mm, indicating that there was no significant difference between them. Comparison of cusp position showed that the mean deviation distance between the AI and manual digital splints was about 0.10-0.14 mm. The application of the AI program can greatly reduce the design time in both the mandibular surgery [(10.7±2.4) s] and the bimaxillary surgery [(21.5±3.9) s]. Conclusion: There is no significant difference in accuracy between AI and manual digital splints, and AI program can improve the design efficiency of orthognathic surgical splints.

Key words: dento-maxillofacial deformities, artificial intelligence, orthognathic surgery, digital surgery

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