Division of Radiology, Department of Pathophysiological Therapeutic Science, Tottori University Faculty of Medicine, Yonago City, Tottori, 683-8504, Japan; National Cerebral and Cardiovascular Center, Suita City, Osaka, 565-8565, Japan.
Tottori University Hospital, Department of Clinical Radiology, Yonago City, Tottori, 683-8504, Japan.
J Cardiovasc Comput Tomogr. 2020 Jul-Aug;14(4):349-355. doi: 10.1016/j.jcct.2019.12.032. Epub 2019 Dec 24.
To measure myocardial extracellular volume fraction (ECV) for each region or segment using iodine density image (IDI) with single-source dual-energy computed tomography (DECT) and compare the results with an MRI T1 mapping approach.
For this prospective study, 79 consecutive heart failure patients referred for MRI were included and 23 patients (14 men, 63 ± 14 years) who underwent both MRI and late contrast enhancement DECT following coronary CT angiography were evaluated. CT-ECV was computed from IDI using late acquisition projection data. MR-ECV was computed from native and post-contrast T1 maps using non-rigid image registration for segments with evaluable image quality from 3.0-T MRI. Regional CT-ECV and MR-ECV were measured based on 16-segment models. CT-ECV and MR-ECV were compared using Pearson correlations. Agreement among methods was assessed using Bland-Altman comparisons.
In the 368 segments, although all segments were evaluable on IDI, 37 segments were rated as non-evaluable on T1 maps. Overall, 331 segments were analyzed. Mean CT-ECV and MR-ECV were 31.6 ± 9.1 and 33.2 ± 9.1, respectively. Strong correlations were seen between CT-ECV and MR-ECV for each region, as follows: all segments, r = 0.837; septal, r = 0.871; mid-septal, r = 0.895; anterior, r = 0.869; inferior, r = 0.793; and lateral, 0.864 (all p < 0.001). Differences between CT-ECV and MR-ECV were as follows: all segments, 1.13 ± 4.98; septal, -1.51 ± 4.37; mid-septal, -1.85 ± 4.22; anterior, 2.54 ± 4.89; inferior, 1.2 ± 5.78; and lateral, 2.65 ± 3.98.
ECV using DECT and from cardiac MRI showed a strong correlation on regional and segmental evaluations. DECT is useful for characterizing myocardial ECV changes as well as MRI.
使用单源双能计算机断层扫描(DECT)的碘密度图像(IDI)测量每个区域或节段的心肌细胞外容积分数(ECV),并将结果与 MRI T1 映射方法进行比较。
这项前瞻性研究纳入了 79 例因心力衰竭而接受 MRI 检查的连续患者,其中 23 例(14 名男性,63±14 岁)在冠状动脉 CT 血管造影后接受了 MRI 和晚期对比增强 DECT 检查。CT-ECV 通过对后期采集投影数据的 IDI 进行计算得出。MR-ECV 通过从 3.0-T MRI 获得的原始和对比后 T1 图谱,使用非刚性图像配准,对具有可评估图像质量的节段进行计算。基于 16 节段模型测量局部 CT-ECV 和 MR-ECV。使用 Pearson 相关性比较 CT-ECV 和 MR-ECV。使用 Bland-Altman 比较评估方法之间的一致性。
在 368 个节段中,尽管 IDI 可评估所有节段,但 T1 图谱有 37 个节段被评为不可评估。总体上分析了 331 个节段。平均 CT-ECV 和 MR-ECV 分别为 31.6±9.1 和 33.2±9.1。各区域 CT-ECV 和 MR-ECV 之间均存在较强相关性,如下所示:所有节段,r=0.837;间隔部,r=0.871;中隔部,r=0.895;前壁,r=0.869;下壁,r=0.793;和侧壁,r=0.864(均 P<0.001)。CT-ECV 和 MR-ECV 之间的差异如下:所有节段,1.13±4.98;间隔部,-1.51±4.37;中隔部,-1.85±4.22;前壁,2.54±4.89;下壁,1.2±5.78;和侧壁,2.65±3.98。
使用 DECT 和心脏 MRI 进行 ECV 检查,在区域性和节段性评估上均具有很强的相关性。DECT 对于评估心肌 ECV 变化与 MRI 一样有用。