Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, 29425, USA.
Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan, Italy.
Eur Radiol Exp. 2024 Jun 19;8(1):70. doi: 10.1186/s41747-024-00469-7.
The potential role of cardiac computed tomography (CT) has increasingly been demonstrated for the assessment of diffuse myocardial fibrosis through the quantification of extracellular volume (ECV). Photon-counting detector (PCD)-CT technology may deliver more accurate ECV quantification compared to energy-integrating detector CT. We evaluated the impact of reconstruction settings on the accuracy of ECV quantification using PCD-CT, with magnetic resonance imaging (MRI)-based ECV as reference.
In this post hoc analysis, 27 patients (aged 53.1 ± 17.2 years (mean ± standard deviation); 14 women) underwent same-day cardiac PCD-CT and MRI. Late iodine CT scans were reconstructed with different quantum iterative reconstruction levels (QIR 1-4), slice thicknesses (0.4-8 mm), and virtual monoenergetic imaging levels (VMI, 40-90 keV); ECV was quantified for each reconstruction setting. Repeated measures ANOVA and t-test for pairwise comparisons, Bland-Altman plots, and Lin's concordance correlation coefficient (CCC) were used.
ECV values did not differ significantly among QIR levels (p = 1.000). A significant difference was observed throughout different slice thicknesses, with 0.4 mm yielding the highest agreement with MRI-based ECV (CCC = 0.944); 45-keV VMI reconstructions showed the lowest mean bias (0.6, 95% confidence interval 0.1-1.4) compared to MRI. Using the most optimal reconstruction settings (QIR4. slice thickness 0.4 mm, VMI 45 keV), a 63% reduction in mean bias and a 6% increase in concordance with MRI-based ECV were achieved compared to standard settings (QIR3, slice thickness 1.5 mm; VMI 65 keV).
The selection of appropriate reconstruction parameters improved the agreement between PCD-CT and MRI-based ECV.
Tailoring PCD-CT reconstruction parameters optimizes ECV quantification compared to MRI, potentially improving its clinical utility.
• CT is increasingly promising for myocardial tissue characterization, assessing focal and diffuse fibrosis via late iodine enhancement and ECV quantification, respectively. • PCD-CT offers superior performance over conventional CT, potentially improving ECV quantification and its agreement with MRI-based ECV. • Tailoring PCD-CT reconstruction parameters optimizes ECV quantification compared to MRI, potentially improving its clinical utility.
心脏计算机断层扫描(CT)通过量化细胞外容积(ECV),在评估弥漫性心肌纤维化方面的作用日益凸显。与能量积分探测器 CT 相比,光子计数探测器(PCD)-CT 技术可能提供更准确的 ECV 定量。我们评估了使用 PCD-CT 时,重建参数对 ECV 定量准确性的影响,以磁共振成像(MRI)为参考。
在这项事后分析中,27 名患者(年龄 53.1±17.2 岁(均值±标准差);14 名女性)在同一天接受心脏 PCD-CT 和 MRI 检查。迟碘 CT 扫描使用不同的量子迭代重建水平(QIR 1-4)、层厚(0.4-8mm)和虚拟单能量成像水平(VMI,40-90keV)进行重建;为每个重建设置定量 ECV。使用重复测量方差分析和两两比较的 t 检验、Bland-Altman 图和 Lin 的一致性相关系数(CCC)进行分析。
QIR 水平之间的 ECV 值没有显著差异(p=1.000)。不同层厚之间存在显著差异,0.4mm 与 MRI 为基础的 ECV 最一致(CCC=0.944);与 MRI 相比,45keV 的 VMI 重建显示出最低的平均偏差(0.6,95%置信区间 0.1-1.4)。与标准设置(QIR3,层厚 1.5mm;VMI 65keV)相比,使用最优化的重建设置(QIR4,层厚 0.4mm,VMI 45keV)可使平均偏差降低 63%,与 MRI 为基础的 ECV 的一致性提高 6%。
选择合适的重建参数可提高 PCD-CT 与 MRI 为基础的 ECV 之间的一致性。
调整 PCD-CT 重建参数可优化 ECV 定量,与 MRI 相比,可能提高其临床实用性。
• CT 越来越有希望用于心肌组织特征化,通过迟碘增强分别评估局灶性和弥漫性纤维化,评估细胞外容积(ECV)定量。• PCD-CT 较传统 CT 性能优越,可能改善 ECV 定量及其与 MRI 为基础的 ECV 的一致性。• 调整 PCD-CT 重建参数可优化 ECV 定量,与 MRI 相比,可能提高其临床实用性。