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在肺气肿定量分析中用虚拟非增强图像替代真实非增强图像的可行性。

Feasibility of replacing true non-contrast images with virtual non-contrast images in quantitative analysis of emphysema.

作者信息

Guo Yanbing, Fan Qiuju, Ren Zhanli, Yu Nan, Tan Hui, Ma Guangming

机构信息

Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.

出版信息

Radiologie (Heidelb). 2025 May 8. doi: 10.1007/s00117-025-01448-8.

Abstract

OBJECTIVE

To evaluate the performance of virtual non-contrast (VNC) images in comparison with true non-contrast (TNC) images in dual-energy computed tomography (DECT) for the assessment of emphysema quantification.

MATERIALS AND METHODS

A retrospective analysis was conducted of 57 patients who underwent three-phase chest CT. The VNC images of the arterial phase (VNC(AP)) and venous phase (VNC(VP)) were generated on an AW4.7 workstation. The objective assessment of image noise in TNC and VNC images was conducted through the quantification of image quality, which was then subjected to a double-blind review by two physicians for image quality and visual classification of emphysema. Furthermore, quantified emphysema at three distinct thresholds (950 HU, 930 HU, and 910 HU) using the three sets of images was compared. Bland-Altman plots were used to compare the quantitative discrepancies at the -950HU threshold.

RESULTS

There was no statistically significant difference in subjective image quality and emphysema visual classification between TNC and VNC images (all p > 0.05). In the quantitative measurement, no statistical difference was observed in image noise or total lung volume among the three groups. When compared with TNC, VNC(VP) images demonstrated no statistical difference in 15th percentile lung density (Perc 15), low attenuation volume (LAV), percentage of low attenuation area (LAA%), and mean lung density (MLD; all p > 0.05). The use of VNC images was found to reduce the radiation dose by 32.6%.

CONCLUSION

The use of VNC, particularly VNC(VP) images, in chest CT has the potential to supplant TNC for the quantitative assessment of emphysema, thereby streamlining scans and reducing radiation dose.

摘要

目的

评估在双能计算机断层扫描(DECT)中,虚拟非增强(VNC)图像与真实非增强(TNC)图像在评估肺气肿定量方面的性能。

材料与方法

对57例行胸部CT三期扫描的患者进行回顾性分析。在AW4.7工作站上生成动脉期(VNC(AP))和静脉期(VNC(VP))的VNC图像。通过量化图像质量对TNC和VNC图像的图像噪声进行客观评估,然后由两名医生进行双盲审查,以评估图像质量和肺气肿的视觉分类。此外,比较了使用三组图像在三个不同阈值(950 HU、930 HU和910 HU)下的量化肺气肿情况。使用Bland-Altman图比较-950HU阈值下的定量差异。

结果

TNC和VNC图像在主观图像质量和肺气肿视觉分类方面无统计学显著差异(所有p>0.05)。在定量测量中,三组之间在图像噪声或全肺容积方面未观察到统计学差异。与TNC相比,VNC(VP)图像在第15百分位肺密度(Perc 15)、低衰减容积(LAV)、低衰减面积百分比(LAA%)和平均肺密度(MLD)方面无统计学差异(所有p>0.05)。发现使用VNC图像可使辐射剂量降低32.6%。

结论

在胸部CT中使用VNC,尤其是VNC(VP)图像,有可能替代TNC用于肺气肿的定量评估,从而简化扫描并降低辐射剂量。

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