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根管形态与根管治疗失败有关的根管形态的预测分析:一个回顾性研究
Mohmed Isaqali Karobari1, Vishnu Priya Veeraraghavan2, P J Nagarathna3
1Department of Conservative Dentistry and Endodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India.
Frontiers in dental medicine
|May 9, 2025
概括
根管形态,包括严重的曲率和辅助通道,显著预测根管治疗 (RCT) 的失败. 机器学习模型可以准确预测RCT结果,帮助临床决策.
科学领域:
- 牙周内科医院 牙周内科医院 牙周内科医院
- 牙科形态学 牙科形态学
- 医疗保健中的机器学习
背景情况:
- 根管治疗 (RCT) 的失败影响患者和牙科实践.
- 预测RCT的成功需要了解根管形态.
- 这项研究调查了根管解剖学在RCT结果中的作用.
研究的目的:
- 分析根管形态学在根管治疗失败中的预测价值.
- 开发一个机器学习模型来预测RCT的成功或失败.
主要方法:
- 对224名接受根管治疗的患者进行了回顾性研究.
- 对人口统计数据,牙类型和根管形态学的分析.
- 用于预测的物流回归和机器学习算法,用ROC曲线进行评估.
主要成果:
- 50%的根管治疗是成功的,50%的治疗失败了.
- 严重的通道曲和辅助通道是故障的重要预测因素 (p < 0.001和p = 0.002).
- 预测模型实现了0.83的AUC,表明准确度很好.
结论:
- 根管形态对于预测根管治疗结果至关重要.
- 机器学习增强了临床决策,用于预测RCT失败.
- 预测模型有助于改善高风险患者的治疗计划.
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