在胸部CT中过度扫描的AI驱动评估:系统性审查和元分析
Mo'men Bani-Ahmad1,2, Andrew England1, Laura McLaughlin1
1The Discipline of Medical Imaging and Radiation Therapy, University College Cork, College Road, Cork T12 K8AF, Ireland.
人工智能 (AI) 可以通过识别和最小化不必要的过度扫描来减少胸部CT扫描中的辐射剂量. 人工智能模型准确地评估过度扫描,提高患者的安全性和优化成像协议.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 计算机断层扫描 (CT) 的过度扫描是一个常见的问题,导致不必要的辐射暴露.
- 在胸部CT中手动过度扫描对患者的辐射剂量有显著的贡献.
- 优化扫描范围对于有效的CT采集和患者安全至关重要.
研究的目的:
- 探索人工智能 (AI) 在处理胸部CT成像中手动过度扫描方面的作用.
- 评估人工智能算法在评估和减少过度扫描方面的有效性.
- 确定人工智能对辐射剂量减少和协议优化的影响.
主要方法:
- 在主要数据库 (Embase,Scopus,PubMed等) 进行了系统的文献搜索. 从2015年12月到2025年3月.
- 两位独立审稿人使用CLAIM和QUADAS-2工具评估了文章的资格和质量.
- 使用元分析来得出胸部CT扫描边界过度扫描的总结估计.
主要成果:
- 五项研究利用人工智能算法来评估胸部CT中手动超扫描,显示高精度和与放射科医生一致.
- 在上部 (13.5毫米) 和下部 (30.2毫米) 边界观察到显著的过度扫描 (p < 0.001).
- 大约三分之二的超额扫描 (43.2毫米) 发生在下部 (腹部) 层面.
结论:
- 人工智能工具可以通过减少过度扫描来有效优化胸部CT成像协议.
- 整合人工智能通过实时监测和辐射剂量的回顾性分析来提高患者的安全性.
- 人工智能驱动的扫描范围评估是一种有前途的方法,可以最大限度地减少CT扫描中不必要的辐射暴露.
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