基于人工智能的心脏基结构轮的比较分析,用于放射治疗的计算机断层扫描
Alexandra Moignier1, Tanguy Perennec2, Elise Prangères1
1Medical Physics Department, Institut de Cancérologie de l'Ouest, Saint Herblain, France.
Physics and imaging in radiation oncology
|March 5, 2026
概括
人工智能轮工具在概述心脏结构方面显示出显著的变化,影响辐射剂量评估. 人工智能模型的标准化对于可靠的临床使用至关重要.
科学领域:
- 放射治疗和医学成像技术
- 医疗保健中的人工智能
- 心血管成像分析心血管成像分析
背景情况:
- 人工智能轮工具提供了对心脏基结构辐射剂量的高级评估.
- 解决方案间的变化和对比度增强对人工智能产生的轮的影响需要研究.
研究的目的:
- 在基于人工智能的心脏基结构轮中评估解决方案间的变化.
- 评估非对比增强对AI轮精度的影响.
主要方法:
- 对比了11个AI解决方案 (商业,开源,内部) 使用对比增强 (CE) 和非对比增强 (NCE) 的CT扫描从20名肺癌患者.
- 使用子相似系数 (DSC) 和豪斯多夫距离 (HD95) 评估了轮精度.
- 通过NCE和CE轮之间的体积比率评估对比度增强效应.
主要成果:
- 对于整个心脏,腔室和大血管,45%的结构-溶液对的中位数DSC>0.8,38%的中位数HD95<10毫米.
- 冠状动脉轮显示的精度较低 (DSC 0.03-0.50,HD95 19-70毫米).
- 由于非对比增强而导致的体积差异在68%的对中小于10%.
结论:
- 人工智能轮解决方案对心脏子结构具有显著的解决方案间变异性,可能影响临床决策.
- 提高透明度,人工智能模型的标准化和共享数据集对于可靠的临床应用至关重要.
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