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帕金森病人工智能辅助PET成像的诊断性能:系统性审查和元分析
Jing Wang1,2, Le Xue3, Jiehui Jiang4
1Huashan Hospital & Human Phenome Institute, Fudan University, Shanghai, China.
NPJ digital medicine
|January 22, 2024
概括
人工智能 (AI) 结合正子发射断层扫描 (PET) 图像显示在诊断帕金森病 (PD) 中具有高准确性. 这种人工智能辅助的PET方法有效地将PD与健康个体和非典型帕金森症区分开来.
科学领域:
- 神经成像是一种神经成像.
- 人工智能的人工智能
- 医学诊断 医学诊断 医学诊断
背景情况:
- 帕金森病 (PD) 诊断可能具有挑战性,通常需要与非典型帕金森症 (AP) 进行区分.
- 定子发射断层扫描 (PET) 图像提供了对与PD相关的神经化学变化的洞察力.
- 人工智能 (AI) 与PET成像的整合为提高诊断准确性提供了一种新的方法.
研究的目的:
- 系统地审查和元分析人工智能辅助PET成像检测帕金森病的诊断准确性.
- 用PET数据评估AI算法在区分PD与正常对照和非典型帕金森症的性能.
主要方法:
- 在Ovid MEDLINE,Embase,Web of Science和IEEE Xplore数据库中进行系统的文献搜索,截至2023年8月17日.
- 包括开发用于使用PET成像进行PD诊断的AI算法的研究.
- 从符合条件的研究中对二进制诊断准确性数据 (曲线下的面积 - AUC) 的元分析.
主要成果:
- 11项将PD与正常对照进行比较的研究显示,预突触多巴胺 (DA) 的AUC总值为0.96,18F-FDG PET的AUC为0.90.
- 在13项比较PD与AP的研究中,预突触DA的AUC值为0.93,后突触DA为0.79和18F-FDG PET为0.97.
- 人工智能辅助的PET成像显示了PD检测子组的可接受诊断性能.
结论:
- 人工智能辅助的PET成像是准确诊断帕金森病的一个有希望的工具.
- 审查的研究表明高的诊断性能,特别是与前交联DA和18F-FDGPET标记物.
- 未来的研究应该专注于严格的报告标准,以解决AI在医学成像研究中的复杂性.
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