基于深度学习的三维分析揭示了骨类III患者在骨格外科手术后肌重塑的明显模式
Selene Barone1, Lucia Cevidanes2, Jonas Bianchi3
1Department of Health Sciences, School of Dentistry, Magna Graecia University of Catanzaro, Catanzaro, Italy.
Orthodontics & craniofacial research
|January 4, 2025
概括
虚拟手术规划和深度学习分析显示,在骨III类缺陷的双整形手术后,整体冠状动脉变化很小,与冠状动脉移位相关的显著区域性骨重塑.
科学领域:
- 矯正牙醫和臉外科手術 矯正牙醫和臉外科
- 医学成像分析 医学成像分析
- 医疗保健中的人工智能
背景情况:
- 骨III类缺陷通常需要正确的正手术.
- 虚拟手术规划 (VSP) 和高级成像分析越来越多地用于复杂的手术病例.
- 了解下冠状腺手术后的形态变化对于长期稳定至关重要.
研究的目的:
- 为了评估在双骨整形手术后下骨的形态变化.
- 评估虚拟手术规划 (VSP) 对膜重塑的影响.
- 通过使用深度学习的自动化3D图像分析来分析手术结果.
主要方法:
- 对17名III类骨患者的圆束计算机断层扫描 (CBCT) 扫描进行了回顾性分析.
- 使用深度学习进行自动化的3D图像分析,用于CBCT定向,细分和地标识别.
- 基于voxel的叠加,以评估骨吸收和粘附在骨表面,并与骨位移相关联.
主要成果:
- 总体而言,状耳的重塑是最小的 (<1毫米).
- 在统计学上显著的骨再吸收发生在上部关节表面.
- 观察到侧极的骨位,与中间状位移相关 (p<0.05).
结论:
- 自动化的3D分析揭示了III类患者在正经骨科手术后明显的区域性状骨重塑模式.
- 最小的整体变化掩盖了骨再吸收和置的显著区域差异.
- 精确的手术前规划至关重要,以优化状骨的定位,并最大限度地减少不利的改造,以提高稳定性.
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