Department of Future Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Department of Future Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Eur J Radiol. 2020 Jul;128:109033. doi: 10.1016/j.ejrad.2020.109033. Epub 2020 Apr 29.
To determine whether a 1024-matrix provides superior image quality for the evaluation of pulmonary nodules.
Prospective evaluation conducted between December 2017 and April 2018, during which CT images showing lung nodules of more than 6 mm and less than 30 mmm were reconstructed with 2 different protocols: 0.5-mm thickness, 512 × 512 matrix, 34.5-cm field of view (FOV) (0.5-512 protocol); and 2-mm thickness, 1024 × 1024 matrix, 34.5-cm FOV (2-1024 protocol). Lung nodule characteristics such as margin, lobulation, pleural indentation, spiculation as well as peripheral vessels and bronchioles visibility and overall image quality were evaluated by three chest radiologists, using a 5-point scale. Image noise was evaluated by measuring the standard deviation in the region of interest for each image.
A total of 89 nodules were evaluated. The 2-1024 protocol performed significantly better for the subjective evaluation of pulmonary nodules (p = 0.006 ∼ p < 0.0001). However, image noise was significantly higher both subjectively and objectively (p = 0.036, p < 0.0001).
The use of a 2-1024 protocol does not increase the amount of images and allows better assessment of pulmonary nodules, despite noise increase.
确定 1024 矩阵是否可提供更优的肺部结节评估图像质量。
前瞻性研究，于 2017 年 12 月至 2018 年 4 月进行，期间对直径大于 6mm 且小于 30mm 的肺结节 CT 图像采用两种不同协议进行重建：0.5mm 层厚、512×512 矩阵、34.5cm 视野（FOV）（0.5-512 协议）；2mm 层厚、1024×1024 矩阵、34.5cm FOV（2-1024 协议）。由三位胸部放射科医生采用 5 分制对边缘、分叶、胸膜凹陷、毛刺以及周围血管和细支气管的显示和整体图像质量等结节特征进行评估。通过测量每个图像的感兴趣区域的标准差来评估图像噪声。
共评估了 89 个结节。2-1024 协议在肺部结节的主观评估中表现明显更好（p=0.006～p<0.0001）。然而，图像噪声无论是主观还是客观均显著更高（p=0.036，p<0.0001）。
尽管噪声增加，但使用 2-1024 协议不会增加图像数量，并且可以更好地评估肺部结节。
