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人工智能迭代重建低剂量主动脉 CTA 的图像质量评估:70kVp 和减少对比剂用量的可行性研究。

Image quality assessment of artificial intelligence iterative reconstruction for low dose aortic CTA: A feasibility study of 70 kVp and reduced contrast medium volume.

机构信息

Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.

Research Center Institute, United Imaging Healthcare, Shanghai, China.

出版信息

Eur J Radiol. 2022 Apr;149:110221. doi: 10.1016/j.ejrad.2022.110221. Epub 2022 Feb 15.

Abstract

PURPOSE

To investigate the image quality and feasibility of a novel artificial intelligence iterative reconstruction (AIIR) algorithm for aortic computer tomography angiography (CTA) with a low radiation dose and contrast material (CM) dosage protocol in comparison with hybrid iterative reconstruction (HIR) algorithm for standard-of-care aortic CTA.

METHODS

Fifty consecutive patients (mean age 58 ± 14 years, mean BMI 24.5 ± 4.7 kg/m) with aortic diseases were prospectively enrolled. All patients underwent at least twice follow-up aortic CTA examinations. Standard dose CT (SDCT) was applied in the initial follow-up examination (100 kVp, auto mAs, contrast dose 0.8 mgL/kg), images were reconstructed with HIR (SDCT-HIR). In the second follow-up examination, patients underwent scanning with low dose CT (LDCT) (70 kVp, auto mAs, contrast dose 0.5 mgL/kg), images were reconstructed with HIR (LDCT-HIR) as well as AIIR (LDCT-AIIR). Attenuation values, noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured for objective analysis. Subjective image quality was rated by two blinded radiologists using a 5-point scale. The effective radiation dose and CM dosage were also recorded.

RESULTS

The effective radiation dose (1.58 ± 0.17 mSv vs. 9.96 ± 1.05 mSv, P < 0.001) and CM dosage (34.38 ± 5.43 ml vs. 54.64 ± 8.63 ml, P < 0.001) achieved a remarkable reduction of 84.14% and 37.08% in the LDCT compared to the SDCT. The attenuation was similar among the three reconstructed images (P > 0.05). Compared to LDCT-HIR images, LDCT-AIIR showed a lower noise and higher SNR and CNR. For qualitative analysis, there were no significant differences between the LDCT-AIIR and the SDCT-HIR images among four metrics (P > 0.05).

CONCLUSIONS

Compared to standard-of-care aortic CTA with HIR, the application of the AIIR algorithm allows for radiation dose and CM dosage reduction while preserving image quality on low dose aortic CTA.

摘要

目的

与混合迭代重建(HIR)算法相比,评估一种新的人工智能迭代重建(AIIR)算法在低辐射剂量和对比剂(CM)剂量方案下进行主动脉计算机断层血管造影(CTA)的图像质量和可行性,用于标准的主动脉 CTA。

方法

连续前瞻性纳入 50 例主动脉疾病患者(平均年龄 58 ± 14 岁,平均 BMI 24.5 ± 4.7 kg/m)。所有患者均进行了至少两次主动脉 CTA 随访检查。初始随访检查采用标准剂量 CT(SDCT)(100 kVp,自动 mAs,对比剂剂量 0.8 mgL/kg),图像采用 HIR(SDCT-HIR)重建。在第二次随访检查中,患者行低剂量 CT(LDCT)(70 kVp,自动 mAs,对比剂剂量 0.5 mgL/kg)扫描,图像采用 HIR(LDCT-HIR)和 AIIR(LDCT-AIIR)重建。进行客观分析测量衰减值、噪声、信噪比(SNR)和对比噪声比(CNR)。由两名盲法放射科医生使用 5 分制对图像质量进行主观评分。记录有效辐射剂量和 CM 剂量。

结果

与 SDCT 相比,LDCT 实现了有效辐射剂量(1.58 ± 0.17 mSv 比 9.96 ± 1.05 mSv,P < 0.001)和 CM 剂量(34.38 ± 5.43 ml 比 54.64 ± 8.63 ml,P < 0.001)的显著降低,分别降低了 84.14%和 37.08%。三种重建图像的衰减值相似(P > 0.05)。与 LDCT-HIR 图像相比,LDCT-AIIR 噪声更低,SNR 和 CNR 更高。定性分析,四项指标中 LDCT-AIIR 与 SDCT-HIR 图像之间无显著差异(P > 0.05)。

结论

与标准的 HIR 主动脉 CTA 相比,AIIR 算法的应用可以在低剂量主动脉 CTA 中降低辐射剂量和 CM 剂量,同时保持图像质量。

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