Yang Panpan, Zhao Ren, Deng Wei, An Shutian, Li Yuguo, Sheng Mao, Chen Xingbiao, Qian Yingfeng, Yu Yongqiang, Mu Dan, Wang Yining, Li Xiaohu
Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, Hefei, Anhui, China.
Front Cardiovasc Med. 2023 Mar 2;10:1114058. doi: 10.3389/fcvm.2023.1114058. eCollection 2023.
This retrospective study was to evaluate the feasibility and accuracy of coronary artery calcium score (CACS) from virtual non-contrast (VNC) images in comparison with that from true non-contrast (TNC) images.
A total of 540 patients with suspected of coronary artery disease (CAD) who underwent a dual-layer spectral detector CT (SDCT) in three hospitals were eligible for this study and 233 patients were retrospectively enrolled for further analysis. The CACS was calculated from both TNC and VNC images and compared. Linear regression analysis of the CACS was performed between TNC and VNC images.
The correlation of overall CACS from VNC and TNC images was very strong ( = 0.923, < 0.001). The CACS from VNC images were lower than that from TNC images (221 versus. 69, < 0.001). When the regression equation of the overall coronary artery was applied, the mean calibrated CACS-VNC was 221 which had a significant difference from the CACS-TNC ( = 0.017). When the regression equation of each coronary branch artery was applied, the mean calibrated CACS-VNC was 221, which had a significant difference from the CACS-TNC ( = 0.003). But the mean difference between the CACS-TNC and the calibrated CACS-VNC in either way was less than 1. The agreement on risk stratification with CACS-TNC and CCACS-VNC was almost perfect.
This multicenter study with dual-layer spectral detector CT showed that it was feasible to calculate CACS from the VNC images derived from the spectral coronary artery CT angiography scan, and the results were in good accordance with the TNC images after correction. Therefore, the TNC scan could be omitted, reducing the radiation dose to patients and saving examination time while using dual-layer spectral detector CT.
本回顾性研究旨在评估虚拟平扫(VNC)图像与真实平扫(TNC)图像所得冠状动脉钙化积分(CACS)的可行性与准确性。
在三家医院接受双层光谱探测器CT(SDCT)检查的540例疑似冠心病(CAD)患者符合本研究要求,其中233例患者被纳入回顾性分析。分别从TNC和VNC图像计算CACS并进行比较。对TNC和VNC图像的CACS进行线性回归分析。
VNC和TNC图像的总体CACS相关性很强(r = 0.923,P < 0.001)。VNC图像的CACS低于TNC图像(221对69,P < 0.001)。应用总体冠状动脉回归方程时,校准后的CACS-VNC均值为221,与CACS-TNC有显著差异(P = 0.017)。应用各冠状动脉分支回归方程时,校准后的CACS-VNC均值为221,与CACS-TNC有显著差异(P = 0.003)。但两种方式下CACS-TNC与校准后的CACS-VNC均值差异均小于1。CACS-TNC与校准后的CACS-VNC在风险分层上的一致性几乎完美。
这项使用双层光谱探测器CT的多中心研究表明,从光谱冠状动脉CT血管造影扫描获得的VNC图像计算CACS是可行的,校正后结果与TNC图像高度一致。因此,在使用双层光谱探测器CT时,可以省略TNC扫描,减少患者辐射剂量并节省检查时间。