Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina; Center for In Vivo Microscopy, Duke University Medical Center, Box 3302, Durham, NC 27710.
Center for In Vivo Microscopy, Duke University Medical Center, Box 3302, Durham, NC 27710; Department of Biomedical Engineering, Duke University, Durham, North Carolina.
Acad Radiol. 2020 Aug;27(8):e193-e203. doi: 10.1016/j.acra.2019.10.016. Epub 2019 Nov 27.
Hyperpolarized Xe ventilation MRI is typically acquired using multislice fast gradient recalled echo (GRE), but interleaved 3D radial Xe gas transfer MRI now provides dissolved-phase and ventilation images from a single breath. To investigate whether these ventilation images provide equivalent quantitative metrics, we introduce generalized linear binning analysis.
This study included 36 patients who had undergone both multislice GRE ventilation and 3D radial gas exchange imaging. Images were then quantified by linear binning to classify voxels into one of four clusters: ventilation defect percentage (VDP), Low-, Medium- or High-ventilation percentage (LVP, MVP, HVP). For 3D radial images, linear binning thresholds were generalized using a Box-Cox rescaled reference histogram. We compared the cluster populations from the two ventilation acquisitions both numerically and spatially.
Interacquisition Bland-Altman limits of agreement for the clusters between 3D radial vs GRE were (-7% to 5%) for VDP, (-10% to 14%) for LVP, and (-8% to 8%) for HVP. While binning maps were qualitatively similar between acquisitions, their spatial overlap was modest for VDP (Dice = 0.5 ± 0.2), and relatively poor for LVP (0.3 ± 0.1) and HVP (0.2 ± 0.1).
Both acquisitions yield reasonably concordant VDP and qualitatively similar maps. However, poor regional agreement (Dice) suggests that the two acquisitions cannot yet be used interchangeably. However, further improvements in 3D radial resolution and reconciliation of bias field correction may well obviate the need for a dedicated ventilation scan in many cases.
超极化氙气通气 MRI 通常使用多切片快速梯度回波 (GRE) 采集,但现在的交叉 3D 径向氙气气体转移 MRI 可从单次呼吸中提供弥散相和通气图像。为了研究这些通气图像是否提供等效的定量指标,我们引入了广义线性分箱分析。
这项研究纳入了 36 例同时接受多切片 GRE 通气和 3D 径向气体交换成像的患者。然后通过线性分箱对图像进行定量分析,将体素分类为四个聚类之一:通气缺陷百分比 (VDP)、低通气百分比 (LVP)、中通气百分比 (MVP)、高通气百分比 (HVP)。对于 3D 径向图像,使用 Box-Cox 重标参考直方图对线性分箱阈值进行了广义化。我们比较了两种通气采集之间的聚类群体在数值和空间上的差异。
3D 径向与 GRE 之间的聚类交互 Bland-Altman 一致性界限为 VDP (-7%至 5%)、LVP (-10%至 14%)和 HVP (-8%至 8%)。虽然两种采集的分箱图在定性上相似,但 VDP 的空间重叠程度较低 (Dice=0.5±0.2),而 LVP 和 HVP 的空间重叠程度较差 (0.3±0.1 和 0.2±0.1)。
两种采集都能得到合理一致的 VDP 和定性相似的图。然而,区域一致性较差 (Dice) 表明两种采集目前还不能相互替代。但是,进一步提高 3D 径向分辨率并协调偏置场校正可能会在许多情况下消除对专用通气扫描的需求。