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基于光子计数探测器冠状动脉CT血管造影的虚拟平扫系列图像特征——钙定量分析的前提条件与可行性

Image Characteristics of Virtual Non-Contrast Series Derived from Photon-Counting Detector Coronary CT Angiography-Prerequisites for and Feasibility of Calcium Quantification.

作者信息

Braun Franziska M, Risch Franka, Decker Josua A, Woźnicki Piotr, Bette Stefanie, Becker Judith, Rippel Katharina, Scheurig-Münkler Christian, Kröncke Thomas J, Schwarz Florian

机构信息

Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany.

Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany.

出版信息

Diagnostics (Basel). 2023 Nov 8;13(22):3402. doi: 10.3390/diagnostics13223402.

Abstract

In photon-counting detector CT (PCD-CT), coronary artery calcium scoring (CACS) can be performed using virtual non-contrast (VNC) series derived from coronary CT angiography (CCTA) datasets. Our study analyzed image characteristics of VNC series in terms of the efficacy of virtual iodine "removal" and image noise to determine whether the prerequisites for calcium quantification were satisfied. We analyzed 38 patients who had undergone non-enhanced CT followed by CCTA on a PCD-CT. VNC reconstructions were performed at different settings and algorithms (conventional VNC; PureCalcium VNC). Virtual iodine "removal" was investigated by comparing histograms of heart volumes. Noise was assessed within the left ventricular cavity. Calcium was quantified on the true non-contrast (TNC) and all VNC series. The histograms were comparable for TNC and all VNC. Image noise between TNC and all VNC differed slightly but significantly. VNC CACS showed a significant underestimation regardless of the reconstruction setting, while VNC CACS were comparable to TNC. Correlations between TNC and VNC were excellent, with a higher predictive accuracy for VNC. In conclusion, the iodine contrast can be effectively subtracted from CCTA datasets. The remaining VNC series satisfy the requirements for CACS, yielding results with excellent correlation compared to TNC-based CACS and high predicting accuracy.

摘要

在光子计数探测器CT(PCD-CT)中,冠状动脉钙化评分(CACS)可使用从冠状动脉CT血管造影(CCTA)数据集导出的虚拟非增强(VNC)系列来进行。我们的研究从虚拟碘“去除”效果和图像噪声方面分析了VNC系列的图像特征,以确定是否满足钙定量的先决条件。我们分析了38例在PCD-CT上先进行非增强CT然后进行CCTA的患者。在不同设置和算法(传统VNC;纯钙VNC)下进行VNC重建。通过比较心脏体积的直方图来研究虚拟碘“去除”情况。在左心腔内评估噪声。在真正的非增强(TNC)和所有VNC系列上对钙进行定量。TNC和所有VNC的直方图具有可比性。TNC和所有VNC之间的图像噪声略有差异但具有显著性。无论重建设置如何,VNC CACS均显示出显著低估,而VNC CACS与TNC相当。TNC和VNC之间的相关性极佳,VNC具有更高的预测准确性。总之,碘造影剂可从CCTA数据集中有效减去。剩余的VNC系列满足CACS的要求,与基于TNC的CACS相比具有极佳的相关性且预测准确性高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80cc/10670685/a34c35085eaf/diagnostics-13-03402-g001.jpg

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