确定脊椎外科手术后的形状:对点修饰的潜在可靠预测因素的验证研究
Pradeep Singh1, Huijun Han2, Heng Zhang1
1Discipline of Orthodontics, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.
PloS one
|August 22, 2025
概括
修改后的下巴点 (MCP) 可靠地预测骨架手术后的唇部位置,帮助外科医生规划最佳的美学结果. 这种人工智能辅助的方法为上唇提供一致的结果,对于下唇预测提供中等的准确性.
科学领域:
- 牙科和牙科手术
- 医疗成像中的人工智能
- 面部美学和重建
背景情况:
- 准确预测经过整形手术 (OS) 的面部形状对于审美结果至关重要.
- 修改下巴点 (MCP) 是一个潜在的预测因素,但其有效性需要调查.
- 目前的方法在评估术后的唇部美学方面可能缺乏准确性.
研究的目的:
- 评估修改下巴点 (MCP) 的可靠性,作为骨架外科手术后的预测指标.
- 将MCP测量与实际下巴点 (ACP) 进行比较,以确定唇部位置的准确性.
- 评估MCP在手术前规划中的实用性.
主要方法:
- 采用了68名接受整形手术的患者的136张3D面部图像.
- 开发了一个人工智能辅助的软件,用于自动地标本地化和MCP计算.
- 将MCP测量与施泰纳S线和里克特E线进行比较,并参照实际下巴点 (ACP) 进行验证.
主要成果:
- 在手术后的ACP和MCP之间,上唇 (UL) 和下唇 (LL) 位置没有显著差异 (p > 0.01).
- 对于相对于S和E线的UL和LL位置的小平均误差 (ME) 和平均绝对误差 (MAE).
- 在ACP和MCP测量之间, UL的强烈正相关性和LL的温和相关性.
结论:
- 修改的下巴点 (MCP) 是一个可靠的预测器,用于对上唇的位置和中等可靠的下唇的位置.
- 基于MCP的预测可以整合到手术前的规划中,以优化治疗结果.
- 这种人工智能辅助的方法提高了外科医生和正牙医实现所需的美学唇部美学的能力.
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