对CBCT临床前放射学输出的肺轮方法的变量评估
Kathryn H Brown1, Jacob Illyuk1, Mihaela Ghita1
1Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast BT9 7AE, UK.
Cancers
|June 22, 2023
概括
放射学分析的可靠性受到轮变异性的影响. 手动轮产生了最强大的放射学特征,与临床研究有显著的重叠.
科学领域:
- 医学成像分析分析 医学成像分析
- 放射治疗研究的研究.
- 定量成像生物标志物生物标志物
背景情况:
- 放射学从医学图像中提取定量特征,用于预测建模.
- 观察者和软件之间的图像细分 (划分) 的变化可能会影响放射学可靠性.
- 使用圆束计算机断层扫描 (CBCT) 的临床前研究对于开发强大的放射学特征至关重要.
研究的目的:
- 评估观察者间和软件间划分变异性对临床前CBCT扫描中的放射学特征的影响.
- 为了确定强大的放射学特征,在不同的轮方法中可靠.
- 为了比较手动,半自动和软件间轮的可靠性,用于放射学分析.
主要方法:
- 为CBCT扫描生成了小鼠肺部 (n=16) 的手动和半自动轮.
- 使用3D Slicer和ITK-SNAP评估了软件间的变性.
- 使用子相似系数 (DSC) 和豪斯多夫距离 (HD95p) 量化了轮相似性.
- 使用类内相关系数 (ICC) 评估了放射学特征可靠性.
主要成果:
- 高的中位数DSC得分 (0.82-0.94) 和亚毫米HD95p指标表明了良好的轮一致.
- 形状和灰度非均性 (GLNU) 放射学特征受变化影响最大.
- 手动轮提供了最可靠的功能 (73%),其次是半自动化 (66%) 和软件间 (51%).
- 314个强大的放射学特征在所有轮测量方法中重叠,其中70%与临床观察者间研究重叠.
结论:
- 划界变化显著影响放射学特征可靠性,特别是形状和纹理特征.
- 手动轮显示,在临床前CBCT中,放射学特征提取的可靠性更高.
- 放射学特征的大量子集在不同的轮方法中显示出强度,支持它们的临床转化潜力.
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