Wang Rui, Sui Xin, Schoepf U Joseph, Song Wei, Xue Huadan, Jin Zhengyu, Schmidt Bernhard, Flohr Thomas G, Canstein Christian, Spearman James V, Chen Jiuhong, Meinel Felix G
1 Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC 29425.
AJR Am J Roentgenol. 2015 Apr;204(4):743-9. doi: 10.2214/AJR.14.13101.
The purpose of this study was to determine whether ultralow-radiation-dose chest CT can be used for quantification of lung density and for emphysema detection in participants undergoing lung cancer screening.
Fifty-two patients were prospectively enrolled and underwent scanning twice with low-dose CT (reference parameters, 120 kV, 50 effective mAs) and ultralow-dose CT (reference parameters, 80 kV, 4-5 effective mAs). Images were reconstructed by filtered back projection (FBP) for low-dose CT and FBP and iterative reconstruction (IR) for ultralow-dose CT. Radiation dose was recorded. Image noise, mean lung attenuation, 15th percentile of lung attenuation, and emphysema index were measured in each image series and compared. Test characteristics of ultralow-dose CT in detecting more than subtle emphysema (emphysema index≥3%) were calculated.
The effective dose of low-dose CT was 2.1±0.5 mSv, and that of ultralow-dose CT was 0.13±0.04 mSv. Compared with the findings for low-dose CT, absolute overestimation of emphysema index was 7% on ultralow-dose CT images reconstructed with FBP and 2% on those processed with IR. The 15th percentile of lung attenuation was underestimated by 21.3 HU on ultralow-dose FBP images and by 5.8 HU on IR images. No relevant bias was observed for mean lung attenuation. Four patients (8%) had more than subtle emphysema. The emphysema index measured at ultralow-dose CT with FBP and IR had 100% and 100% sensitivity and 92% and 96% specificity in identifying patients with more than subtle emphysema at a cutoff of greater than 12.1% for FBP and greater than 6.7% for IR.
Ultralow-dose chest CT performed for lung cancer screening can be used for quantification of lung density and for emphysema detection. IR improves the accuracy of ultralow-dose CT in this setting.
本研究旨在确定超低辐射剂量胸部CT是否可用于肺癌筛查参与者的肺密度定量分析及肺气肿检测。
前瞻性纳入52例患者,对其进行两次扫描,分别采用低剂量CT(参考参数:120 kV,50有效mAs)和超低剂量CT(参考参数:80 kV,4 - 5有效mAs)。低剂量CT图像采用滤波反投影(FBP)重建,超低剂量CT图像采用FBP及迭代重建(IR)重建。记录辐射剂量。测量每个图像序列的图像噪声、平均肺衰减、肺衰减第15百分位数及肺气肿指数,并进行比较。计算超低剂量CT检测超过轻度肺气肿(肺气肿指数≥3%)的检测特征。
低剂量CT的有效剂量为2.1±0.5 mSv,超低剂量CT的有效剂量为0.13±0.04 mSv。与低剂量CT结果相比,采用FBP重建的超低剂量CT图像上肺气肿指数的绝对高估为7%,采用IR处理的图像上为2%。超低剂量FBP图像上肺衰减第15百分位数低估21.3 HU,IR图像上低估5.8 HU。平均肺衰减未观察到相关偏差。4例患者(8%)有超过轻度的肺气肿。在识别超过轻度肺气肿的患者时,采用FBP和IR的超低剂量CT测量的肺气肿指数,在FBP截断值大于12.1%、IR截断值大于6.7%时,灵敏度均为100%,特异性分别为92%和96%。
用于肺癌筛查的超低剂量胸部CT可用于肺密度定量分析及肺气肿检测。在这种情况下,IR提高了超低剂量CT的准确性。