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基于模型的迭代重建技术在超低剂量胸部 CT 中的应用:与自适应统计迭代重建技术的肺结节检测能力比较。

Model-based iterative reconstruction technique for ultralow-dose chest CT: comparison of pulmonary nodule detectability with the adaptive statistical iterative reconstruction technique.

机构信息

Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

出版信息

Invest Radiol. 2013 Apr;48(4):206-12. doi: 10.1097/RLI.0b013e31827efc3a.

Abstract

PURPOSE

The purpose of this study was to evaluate whether model-based iterative reconstruction (MBIR) enables dose reduction over adaptive iterative reconstruction (ASIR) while maintaining diagnostic performance.

METHODS

In this institutional review board-approved and Health Insurance Portability and Accountability Act-compliant study, 59 patients (mean [SD] age, 64.7 [13.4] years) gave informed consent to undergo reference-, low-, and ultralow-dose chest computed tomography (CT) with 64-row multidetector CT. The reference- and low-dose CT involved the use of automatic tube current modulation with fixed noise indices (31.5 and 70.44 at 0.625 mm, respectively) and were reconstructed with 50% ASIR-filtered back projection blending. The ultralow-dose CT was acquired with a fixed tube current-time product of 5 mA s and reconstructed with MBIR. Two radiologists evaluated 2.5- and 0.625-mm-slice-thick axial images from low-dose ASIR and ultralow-dose MBIR, recorded the pattern of each nodule candidate, and assigned each a confidence score. A reference standard was established by a consensus panel of 2 different radiologists, who identified 84 noncalcified nodules with diameters of 4 mm or greater on reference-dose ASIR (ground-glass opacity, n = 18; partly solid, n = 11; solid, n = 55). Sensitivity in nodule detection was assessed using the McNemar test. Jackknife alternative free-response receiver operating characteristic (JAFROC) analysis was applied to assess the results including confidence scores.

RESULTS

Compared with the low-dose CT, a 78.1% decrease in dose-length product was seen with the ultralow-dose CT. No significant differences were observed between the low-dose ASIR and the ultralow-dose MBIR for overall nodule detection in sensitivity (P = 0.48-0.69) or the JAFROC analysis (P = 0.57). Likewise, no significant differences were seen for ground-glass opacity, partly solid, or solid nodule detection in sensitivity (P = 0.08-0.65) or the JAFROC analysis (P = 0.21-0.90).

CONCLUSIONS

Model-based iterative reconstruction enables nearly an 80% reduction in radiation dose for chest CT from a low-dose level to an ultralow-dose level, without affecting nodule detectability.

摘要

目的

本研究旨在评估模型迭代重建(MBIR)是否能在保持诊断性能的同时,降低自适应迭代重建(ASIR)的剂量。

方法

本研究经机构审查委员会批准并符合《健康保险流通与责任法案》,共纳入 59 例患者(平均[标准差]年龄,64.7[13.4]岁),他们均签署知情同意书,同意行胸部 64 排多层 CT 参考剂量、低剂量和超低剂量扫描。参考剂量和低剂量扫描使用自动管电流调制,噪声指数固定(分别为 31.5 和 70.44,层厚 0.625mm),并以 50%ASIR 滤波反投影混合重建。超低剂量扫描使用固定管电流时间乘积 5mA·s,MBIR 重建。2 位放射科医生评估低剂量 ASIR 和超低剂量 MBIR 的 2.5-mm 和 0.625-mm 层厚轴位图像,记录每个结节候选者的模式,并为每个结节分配信心评分。通过 2 位不同放射科医生组成的共识小组建立参考标准,该小组在参考剂量 ASIR 上确定了 84 个直径≥4mm 的非钙化结节(磨玻璃密度影 18 个,部分实性结节 11 个,实性结节 55 个)。采用 McNemar 检验评估结节检出的敏感性。应用刀切替代自由响应接收器操作特征(JAFROC)分析评估包括信心评分在内的结果。

结果

与低剂量 CT 相比,超低剂量 CT 的剂量长度乘积降低了 78.1%。超低剂量 MBIR 与低剂量 ASIR 比较,在总体结节检出的敏感性(P=0.48-0.69)或 JAFROC 分析(P=0.57)中无显著差异。同样,在磨玻璃密度影、部分实性或实性结节的检出敏感性(P=0.08-0.65)或 JAFROC 分析(P=0.21-0.90)中无显著差异。

结论

MBIR 可使胸部 CT 从低剂量水平降至超低剂量水平,同时降低近 80%的辐射剂量,而不影响结节的检出率。

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