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目的:通过体模实验评估60 kV超低剂量CT扫描结合深度学习重建算法(CI算法)在儿童胸部中的可行性。方法:采用PH-1C型儿童胸部体模,根据照射剂量参数的不同,分为常规组(标准照射剂量:100 kV/60 mA)与实验组[60 kV/不同管电流(60、30、15、8、5 mA)]。常规组重建采用权重为50%的常规迭代算法(CV算法);实验组重建分别采用50%CV算法、以及不同权重(10%、30%、50%、70%、90%)的CI算法。比较实验组内不同重建算法(50%CV、10%CI、30%CI、50%CI、70%CI、90%CI)的主观及客观图像差异;比较实验组[60 kV(60、30、15、8、5 mA)]与常规组之间的主观及客观图像差异和辐射剂量差异。结果:在实验组内,不同权重重建算法(50%CV、10%CI、30%CI、50%CI、70%CI、90%CI)的图像质量比较时,CI算法重建的图像质量显著优于CV算法重建的图像,差异有统计学意义(F=89.42、5.37,P<0.05)。其中50%CI、70%CI、90%CI客观评分高于10%CI和30%CI,但三者间的差异均无统计学意义(P>0.05);主观评价中70%CI图像质量最佳。实验组[60 kV/不同管电流(60、30、15、8、5 mA)]均采用70%CI算法重建的图像与常规组图像比较,实验组中60 kV/60 mA的图像质量主观评价及客观评分与常规组比较,差异均无统计学意义(P>0.05)。60 kV/30 mA的图像质量肺窗客观评分与常规组比较,差异均无统计学意义(P>0.05),主观评价略低于常规组;纵隔窗在客观评分中SD值(12.85±0.65)高于常规组,SNR值(5.07±0.32)低于常规组,差异有统计学意义(t=14.82,2.26,P<0.05),主观评价低于常规组。实验组不同管电流时CT辐射剂量参数均显著低于常规组,差异均有统计学意义(t=215.90、220.01、231.35、237.72、249.70、344.57、368.65、379.50、387.64、392.08、267.48、298.72、301.12、308.07、319.80,P<0.05)。其中60 kV的60和30 mA组的有效剂量均值分别为0.11和0.05 mSv。结论:结合70%CI重建算法,60 kV/60 mA图像质量可达或略优于常规100 kV的水平;对于重点观察肺窗图像的患儿(肺炎复查者),管电流可进一步降至30 mA。
Abstract:Objective: This study aimed to assess the feasibility of 60 kV ultra-low-dose computed tomography(CT) scan combined with deep learning-based reconstruction algorithm for children's chest through a phantom experiment. Methods: This study adopted pediatric chest phantom of PH-1C type. Based on different exposure parameters, the scans were divided into a conventional group(standard dose: 100 kV/60 mA) and experimental group [60 kV/with different tube currents: 60, 30, 15, 8, 5 mA)]. The conventional group adopted conventional iterative algorithm(CV algorithm) that weight was 50% to conduct reconstruction, while experimental group adopted respectively 50% CV algorithm and CI algorithm based on deep-learning with different weight(10%, 30%, 50%, 70%, 90%) to conduct reconstruction. The differences of subjective and objective images among different algorithms(50%CV, 10%CI, 30%CI, 50%CI, 70%CI and 90%CI) within experimental group were compared. The differences of subjective and objective images, and exposure doses were compared between the experimental group [60 kV(60, 30, 15, 8, 5 mA) ] and the conventional group. Results: Within the experimental group, the reconstructed image quality of CI algorithm was significantly better than that of CV algorithm when the image qualities were compared among different weight reconstructed algorithm, and the differences were significant(F=89.42, 5.37, P<0.05). In them, the objective scores of 50%CI, 70%CI, and 90%CI were higher than those of 10%CI and 30%CI, but the differences among the three indicators were not statistically significant(P>0.05). In subjective evaluation, the image quality of 70%CI was the best. The experimental group [60 kV/different tube current(60, 30, 15, 8, 5 mA)] adopted the image that was reconstructed by 70% CI to compare with the image of conventional group, and there were not significant difference at subjective and objective evaluation of image quality between 60 kV/60 mA subgroup of experimental group and conventional group(P>0.05). There was not significant difference at objective score of lung window between 60 kV/30 mA subgroup and conventional group(P>0.05), and the subjective score of lung window of 60 kV/30 mA subgroup was slightly less than that of conventional group. The standard deviation(SD) value(12.85±0.65) in objective scores of mediastinal window was higher than that of conventional group, and the signal noise rate(SNR) value(5.07±0.32) was lower than that of conventional group, and the differences were significant(t=14.82, 2.26, P<0.05), while the subjective evaluation was lower than that of conventional group. The parameters of CT radiation dose of all subgroups in the experimental group were significantly lower than those in the conventional group, and the differences were statistically significant(t=215.90, 220.01, 231.35, 237.72, 249.70, 344.57, 368.65, 379.50, 387.64, 392.08, 267.48, 298.72, 301.12, 308.07, 319.80, P<0.05). In them, the mean values of effective dose of 60 and 30 mA group of 60 kV were respectively 0.11 and 0.05 m Sv. Conclusion: Combined with the 70%CI reconstruction algorithm, the image quality of 60 kV/60 mA can reach or slightly better to the level of conventional 100 kV. For pediatric patients(who receive re-examination for pneumonia) who were especially observed for the images of lung window, and the tube current can be further reduced to 30 mA.
[1]林千文,郭瑶,夏俊,等.胸部高分辨率CT在新生儿胸部疾病诊断中的意义[J].广东医科大学学报,2017,35(2):207-209.DOI:10.3969/j.issn.1005-4057.2017.02.030.
[2]Kim JH,Yoon HJ,Lee E,et al.Validation of deeplearning image reconstruction for low-dose chest computed tomography scan:emphasis on image quality and noise[J].Korean J Radiol,2021,22(1):131-138.DOI:10.3348/kjr.2020.0116.
[3]Ye K,Zhu Q,Li M,et al.A feasibility study of pulmonary nodule detection by ultralow-dose CT with adaptive statistical iterative reconstruction-V technique[J].Eur J Radiol,2019,119:108652.DOI:10.1016/j.ejrad.2019.108652.
[4]Hou QR,Gao W,Sun AM,et al.A prospective evaluation of contrast and radiation dose and image quality in cardiac CT in children with complex congenital heart disease using low-concentration iodinated contrast agent and low tube voltage and current[J].Br J Radiol,2017,90(1070):20160669.DOI:10.1259/bjr.20160669.
[5]孙记航,段晓岷,于彤,等.儿童CT扫描辐射剂量现状调查和诊断参考水平的初步探讨[J].中华放射学杂志,2022,56(10):1135-1140.DOI:10.3760/cma.j.cn112149-20220214-00115.
[6]中华医学会儿科学分会影像学组,中华医学会放射学分会儿科学组.儿童CT检查辐射剂量标准中国专家共识[J].中华放射学杂志,2024,58(2):158-164.DOI:10.3760/cma.j.cn112149-20231013-00291.
[7]Huang R,Liu X,He L,et al.Radiation exposure associated with computed tomography in childhood and the subsequent risk of cancer:a meta-analysis of cohort studies[J].Dose Response,2020,18(2):1559325820923828.DOI:10.1177/1559325820923828.
[8]Wang WH,Sung CY,Wang SC,et al.Risks of leukemia,intracranial tumours and lymphomas in childhood and early adulthood after pediatric radiation exposure from computed tomography[J].CMAJ,2023,195(16):E575-E583.DOI:10.1503/cmaj.221303.
[9]孙升级,徐媛,李海萍,等.双源CT低剂量Turbo Flash扫描模式迭代重建在婴幼儿肺部感染中的应用价值[J].中国CT和MRI杂志,2024,22(7):66-69.DOI:10.3969/j.issn.1672-5131.2024.07.021.
[10]陈星,娄明武,谢尚煌,等.自适应迭代降剂量技术在个性化超低剂量胸部CT成像的应用性研究[J].影像诊断与介入放射学,2012,21(5):341-345.DOI:10.3969/issn.1005-8001.2012.05.006.
[11]Chen H,Zhang Y,Zhang W,et al.Low-dose CT via convolutional neural network[J].Biomed Opt Express,2017,8(2):679-694.DOI:10.1364/BOE.8.000679.
[12]路腾,彭芸,李昊岩,等.基于深度学习的图像重建算法改善儿童超低剂量CT气道自动分割效果的研究[J].中国医学装备,2025,22(7):25-29.DOI:10.3969/j.issn.1672-8270.2025.07.005.
[13]Klemenz AC,Albrecht L,Manzke M,et al.Improved image quality in CT pulmonary angiography using deep learning-based image reconstruction[J].Sci Rep,2024,14(1):2494.DOI:10.1038/s41598-024-52517-2.
[14]卢道延,金刚,朱应礼,等.小儿支气管异物低剂量CT扫描条件及图像质量分析[J].中国CT和MRI杂志,2017,15(6):60-62,封3.DOI:10.3969/j.issn.1672-5131.2017.06.019.
[15]翟艳慧,张文静,孟慧英,等.宽体探测器轴扫描联合迭代重建技术剂量控制新功能在儿童胸部CT低剂量扫描分析[J].医学影像学杂志,2025,35(1):65-69.DOI:10.20258/j.cnki.1006-9011.2025.01.016.
[16]张振华,肖雁冲,龚鑫鑫,等.基于体质量调节管电压联合自动管电流技术降低儿童胸部CT辐射剂量的价值[J].分子影像学杂志,2023,46(4):688-691.DOI:10.12122/j.issn.1674-4500.2023.04.19.
[17]刘登平,李强,袁明,等.超低管电压(70 k V)联合Flash扫描在新生儿胸部CT中的应用价值[J].医学影像学杂志,2021,31(9):1497-1500.
[18]Dettmer S,Werncke T,Mitkovska VN,et al.Photon Counting Computed Tomography with the Radiation Dose of a Chest X-Ray:Feasibility and Diagnostic Yield[J].Respiration,2024,103(2):88-94.DOI:10.1159/000536065.
[19]王晓华,张艳,袁慧书.自动管电压调制技术参考毫安秒对胸部CT平扫图像质量和辐射剂量的影响[J].中华放射学杂志,2015,49(3):179-182.DOI:10.3760/cma.j.issn.1005-1201.2015.03.005.
基本信息:
中图分类号:R816.92;TP18
引用信息:
[1]黄梦琪,梁傲源,毛苇,等.60 kV CT结合深度学习重建算法在儿童胸部超低剂量扫描中的可行性研究[J].中国医学装备,2025,22(12):19-23.
基金信息:
四川省医学会医学科研项目/青年创新项目(Q2024010)~~