Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252, USA.
AJR Am J Roentgenol. 2012 Dec;199(6):1266-74. doi: 10.2214/AJR.12.9382.
The purpose of this study was to report preliminary results of an ongoing prospective trial of ultralow-dose abdominal MDCT.
Imaging with standard-dose contrast-enhanced (n = 21) and unenhanced (n = 24) clinical abdominal MDCT protocols was immediately followed by ultralow-dose imaging of a matched series of 45 consecutively registered adults (mean age, 57.9 years; mean body mass index, 28.5). The ultralow-dose images were reconstructed with filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and model-based iterative reconstruction (MBIR). Standard-dose series were reconstructed with FBP (reference standard). Image noise was measured at multiple predefined sites. Two blinded abdominal radiologists interpreted randomly presented ultralow-dose images for multilevel subjective image quality (5-point scale) and depiction of organ-based focal lesions.
Mean dose reduction relative to the standard series was 74% (median, 78%; range, 57-88%; mean effective dose, 1.90 mSv). Mean multiorgan image noise for low-dose MBIR was 14.7 ± 2.6 HU, significantly lower than standard-dose FBP (28.9 ± 9.9 HU), low-dose FBP (59.2 ± 23.3 HU), and ASIR (45.6 ± 14.1 HU) (p < 0.001). The mean subjective image quality score for low-dose MBIR (3.0 ± 0.5) was significantly higher than for low-dose FBP (1.6 ± 0.7) and ASIR (1.8 ± 0.7) (p < 0.001). Readers identified 213 focal noncalcific lesions with standard-dose FBP. Pooled lesion detection was higher for low-dose MBIR (79.3% [169/213]) compared with low-dose FBP (66.2% [141/213]) and ASIR (62.0% [132/213]) (p < 0.05).
MBIR shows great potential for substantially reducing radiation doses at routine abdominal CT. Both FBP and ASIR are limited in this regard owing to reduced image quality and diagnostic capability. Further investigation is needed to determine the optimal dose level for MBIR that maintains adequate diagnostic performance. In general, objective and subjective image quality measurements do not necessarily correlate with diagnostic performance at ultralow-dose CT.
本研究旨在报告一项正在进行的腹部超低剂量 MDCT 前瞻性试验的初步结果。
对 21 例接受标准剂量增强(n = 21)和未增强(n = 24)临床腹部 MDCT 扫描的患者进行影像学检查,随后立即对连续登记的 45 例成年人进行匹配系列的超低剂量成像(平均年龄 57.9 岁;平均体重指数 28.5)。使用滤波反投影(filtered back projection,FBP)、自适应统计迭代重建(adaptive statistical iterative reconstruction,ASIR)和基于模型的迭代重建(model-based iterative reconstruction,MBIR)对超低剂量图像进行重建。标准剂量系列使用 FBP 进行重建(参考标准)。在多个预设部位测量图像噪声。两位盲法腹部放射科医生对随机呈现的超低剂量图像进行多层面主观图像质量(5 分制)和器官为基础的局灶性病变显示的解读。
与标准系列相比,平均剂量降低 74%(中位数,78%;范围,57%-88%;有效剂量,1.90 mSv)。低剂量 MBIR 的多器官平均图像噪声为 14.7 ± 2.6 HU,明显低于标准剂量 FBP(28.9 ± 9.9 HU)、低剂量 FBP(59.2 ± 23.3 HU)和 ASIR(45.6 ± 14.1 HU)(p < 0.001)。低剂量 MBIR 的平均主观图像质量评分(3.0 ± 0.5)明显高于低剂量 FBP(1.6 ± 0.7)和 ASIR(1.8 ± 0.7)(p < 0.001)。使用标准剂量 FBP 检测到 213 个非钙化局灶性病变。低剂量 MBIR 的病变检出率(79.3%[169/213])高于低剂量 FBP(66.2%[141/213])和 ASIR(62.0%[132/213])(p < 0.05)。
MBIR 显示出在常规腹部 CT 中大幅降低辐射剂量的巨大潜力。由于图像质量和诊断能力下降,FBP 和 ASIR 在这方面都受到限制。需要进一步研究确定维持足够诊断性能的 MBIR 的最佳剂量水平。一般来说,客观和主观的图像质量测量与超低剂量 CT 的诊断性能不一定相关。