Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Siemens Healthcare GmbH, Computed Tomography, Forchheim, Germany.
Br J Radiol. 2022 Jul 1;95(1135):20211367. doi: 10.1259/bjr.20211367. Epub 2022 Apr 19.
To evaluate the performance of virtual non-contrast images (VNC) compared to true non-contrast (TNC) images in photon-counting detector computed tomography (PCD-CT) for the evaluation of lung parenchyma and emphysema quantification.
65 (mean age 73 years; 48 male) consecutive patients who underwent a three-phase (non-contrast, arterial and venous) chest/abdomen CT on a first-generation dual-source PCD-CT were retrospectively included. Scans were performed in the multienergy (QuantumPlus) mode at 120 kV with 70 ml intravenous contrast agent at an injection rate of 4 ml s. VNC were reconstructed from the arterial (VNC) and venous phase (VNC). TNC and VNC images of the lung were assessed quantitatively by calculating the global noise index (GNI) and qualitatively by two independent, blinded readers (overall image quality and emphysema assessment). Emphysema quantification was performed using a commercially available software tool at a threshold of -950 HU for all data sets. TNC images served as reference standard for emphysema quantification. Low attenuation values (LAV) were compared in a Bland-Altman plot.
GNI was similar in VNC (103.0 ± 30.1) and VNC (98.2 ± 22.2) as compared to TNC (100.9 ± 19.0, = 0.546 and = 0.272, respectively). Subjective image quality (emphysema assessment and overall image quality) was highest for TNC ( = 0.001), followed by VNC and VNC. Both, VNC and VNC showed no significant difference in emphysema quantification as compared to TNC ( = 0.409 vs. = 0.093; respectively).
Emphysema evaluation is feasible using virtual non-contrast images from PCD-CT.
Emphysema quantification is feasible and accurate using VNC images in PCD-CT. Based on these findings, additional TNC scans for emphysema quantification could be omitted in the future.
评估光子计数探测器 CT(PCD-CT)虚拟非对比(VNC)图像与真实非对比(TNC)图像在肺实质和肺气肿定量评估中的性能。
回顾性纳入 65 例(平均年龄 73 岁,48 名男性)连续接受第一代双源 PCD-CT 行胸部/腹部三期(非对比、动脉期和静脉期)CT 检查的患者。扫描在多能量(QuantumPlus)模式下进行,管电压 120kV,静脉注射 70ml 造影剂,注射速度为 4ml/s。从动脉期(VNC)和静脉期(VNC)重建 VNC。通过计算全局噪声指数(GNI)对肺的 VNC 和 TNC 图像进行定量评估,并由两位独立的、盲法读者进行定性评估(总体图像质量和肺气肿评估)。使用商业上可用的软件工具,在所有数据集上均采用-950HU 的阈值进行肺气肿定量。TNC 图像作为肺气肿定量的参考标准。在 Bland-Altman 图中比较低衰减值(LAV)。
与 TNC(100.9 ± 19.0)相比,VNC(103.0 ± 30.1)和 VNC(98.2 ± 22.2)的 GNI 相似(= 0.546 和= 0.272)。TNC 的主观图像质量(肺气肿评估和总体图像质量)最高(= 0.001),其次是 VNC 和 VNC。与 TNC 相比,VNC 和 VNC 在肺气肿定量方面均无显著差异(= 0.409 与= 0.093)。
PCD-CT 可使用虚拟非对比图像进行肺气肿评估。
在 PCD-CT 中,使用 VNC 图像进行肺气肿定量是可行且准确的。基于这些发现,未来可能可以省略额外的 TNC 扫描进行肺气肿定量。