在慢性阻塞性肺病患者和健康成年人中使用PREFUL-MRI估计肺中的通风相关系数
Tawfik Moher Alsady1,2, Jakob Ruschepaul1,2, Andreas Voskrebenzev1,2
1Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany.
在同一个切片中选择一个参考区域可以提高使用相位解析功能性肺MRI进行通风相关系数 (Vent-CC) 测量的可重复性. 一个新的自动化算法提高了这些区域性肺透气评估在健康和COPD患者的可靠性.
科学领域:
- 医疗成像医学成像
- 肺部医学 肺部医学
- 量化MRI是指数量化的MRI.
背景情况:
- 阶段解决的功能性肺部 (PREFUL) -MRI可以估计区域性肺透气参数.
- 通风相关系数 (Vent-CC) 通过将voxel-wise数据与参考流量曲线进行比较来评估区域气流动力学.
研究的目的:
- 调查参考兴趣区域 (ROI) 位置 (肺象限与冠状切片) 对Vent-CC计算的影响.
- 引入和比较自动化ROI选择算法,以提高风口-CC和通风缺陷百分比 (VDP) 的测试-重新测试可重复性.
主要方法:
- 在28名健康受试者和32名COPD患者身上进行了两次PREFUL-MRI扫描.
- 交叉相关性分析了各种参考ROI的空气流量曲线均性.
- 使用ANOVA比较 Vent-CC和VDP;变化系数评估了不同选择算法的可重复性.
主要成果:
- 同一个冠状切片内的ROI显示出高流量-体积曲线相关性 (r > 0.97),而Vent-CC或VDP没有显著差异.
- 不同冠状切片中的ROI产生较低的相关性和显著不同的风口-CC和VDP值 (p < 0.001).
- 新的自动化算法证明了Vent-CC和VDP的优越重复性.
结论:
- 从相同的冠状切片中选择参考ROI对于在PREFUL-MRI中一致的风口-CC测量至关重要.
- 一个新的自动化ROI选择算法提高了区域通风评估在健康和COPD人口的可重复性.
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