人工智能光学相干断层扫描软件用于组织特征的可复制性:对纵向研究设计的含义
Mohil Garg1, Hector M Garcia-Garcia2, Andrea Teira Calderón3
1Department of Internal Medicine, MedStar Washington Hospital Center, Washington, DC, USA.
概括
人工智能光学连贯断层扫描软件 (OctPlus) 在表征冠状动脉斑块方面显示出良好的可重现性. 虽然一些测量有很大的导管间差异,但软件内部分析高度一致,支持在未来的研究中使用它.
科学领域:
- 心血管成像 - 心血管成像
- 人工智能在医学中的应用
- 生物医学工程 生物医学工程
背景情况:
- 使用人工智能光学连贯断层扫描软件 (OctPlus) 评估冠状动脉组织表征的可重现性.
- 在临床环境中评估AI驱动的OCT分析的性能.
研究的目的:
- 通过OctPlus AI软件确定冠状动脉斑块组织表征的可重现性.
- 评估OCT衍生的斑块参数的内导管和软件内部变异性.
主要方法:
- 74名患有ST段升高心肌梗塞 (STEMI) 的患者在初级PCI后和分阶段PCI期间接受了光学一致性断层扫描 (OCT).
- 软件OctPlus分析了94对细分中的斑块特征 (胆固醇晶体,纤维组织,,脂质,巨).
- 42个细分对被重新分析,以评估软件内部的可重复性.
主要成果:
- 平均参数值没有显著的导管间或软件内部差异.
- 对于所有组织类型,软件内相关性优异 (ICC > 0.9).
- 导管间区域测量显示了化 (ICC 0.86) 和纤维组织 (ICC 0.87) 的高相关性,但脂质和巨细胞含量较低.
结论:
- 该OctPlusAI-OCT软件显示了冠状动脉组织表征的整体良好的可重现性.
- 这些发现支持在未来的纵向研究中使用这种AI软件,并仔细考虑潜在的测量变异性.
- 在选择成像终点和样本大小时,研究人员应考虑观察到的相对差异.
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