• Key Magazine of China Technology（CSTPCD）
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CN 11-3017/P
Volume 32 Issue 4
Jul.  2023
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LI J J, ZHANG L, LIU M W, et al. In vivo study of the influence of CT acquisition and reconstruction parameters on chest CT number[J]. CT Theory and Applications, 2023, 32(4): 480-486. DOI: 10.15953/j.ctta.2022.109. (in Chinese).
Citation: LI J J, ZHANG L, LIU M W, et al. In vivo study of the influence of CT acquisition and reconstruction parameters on chest CT number[J]. CT Theory and Applications, 2023, 32(4): 480-486. DOI: 10.15953/j.ctta.2022.109. (in Chinese).
shu

In Vivo Study of the Influence of CT Acquisition and Reconstruction Parameters on Chest CT Number

  • 1.

    Departments of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

  • 2.

    Department of Radiology, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing 100142, China

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  • Received Date: September 04, 2022
  • Available Online: September 29, 2022
  • Published Date: July 30, 2023
    Abstract
  • Objective: To explore the influence of different CT acquisition and reconstruction parameters on the CT number of the chest in vivo. Methods: The CT number of the trachea, blood vessels, lungs, vertebral bodies, and muscles of the human chest were measured under different CT scanning parameters. Six groups of different scanning parameters and reconstruction algorithms were set respectively: slice thickness 5 mm, 50% multi-model adaptive statistical iterative reconstruction Veo (ASIR-V) and low-dose for S1; slice thickness 5 mm, filtered back projection (FBP) and standard-dose for S2; slice thickness 1.25 mm, 50% ASIR-V and low-dose for S3; slice thickness 1.25 mm, 50% ASIR-V and standard-dose for S4; slice thickness 1.25 mm, FBP, low-dose for S5; slice thickness 1.25 mm, FBP, standard-dose for S6. The radiation dose of the scan was controlled using two noise indexes (NI), including low-dose (NI=40) and standard-dose (NI=10). Differences in CT number between two groups were compared using t-test or rank-sum test. Results: Significant differences of CT number of the trachea were detected between low-dose and standard-dose, but no significant differences of CT number of other tissues were detected between low-dose and standard-dose. No significant differences of CT number of chest tissues were detected between either 5 mm thickness and 1.25 mm thickness or 50% ASIR-V and FBP. Conclusion: The CT number of human chest tissues showed well stability which was scarcely influenced by slices thickness, reconstruction algorithm and scan dose.
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    • References (15)
  • [1]
    National Lung Screening Trial Research Team, ABERLE D R, ADAMS A M, et al. Reduced lung-cancer mortality with low-dose computed tomographic screening[J]. The New England Journal of Medicine, 2011, 365(5): 395−409. doi: 10.1056/NEJMoa1102873
    [2]
    HANSELL D M, BANKIER A A, MacMAHON H, et al. Fleischner society: Glossary of terms for thoracic imaging[J]. Radiology, 2008, 246(3): 697−722. doi: 10.1148/radiol.2462070712
    [3]
    GODOY M C, NAIDICH D P. Subsolid pulmonary nodules and the spectrum of peripheral adenocarcinomas of the lung: Recommended interim guidelines for assessment and management[J]. Radiology, 2009, 253(3): 606−622. doi: 10.1148/radiol.2533090179
    [4]
    李琼, 于红, 张丽, 等. 迭代重建技术对低管电压胸部CT增强扫描图像质量的影响[J]. 实用放射学杂志, 2012,28(10): 1615−1618. doi: 10.3969/j.issn.1002-1671.2012.10.033

    LI Q, YU H, ZHANG L, et al. The effect of iterative reconstruction on image quality of contrast-enhanced chest CT with low tube voltage settings[J]. Journal of Practical, 2012, 28(10): 1615−1618. (in Chinese). doi: 10.3969/j.issn.1002-1671.2012.10.033
    [5]
    彭文献, 彭天舟, 夏顺仁, 等. X线管电压对生物组织CT值影响的实验研究[J]. 放射学实践, 2013,28(11): 1102−1104.

    PENG W X, PENG T Z, XIA S R, et a1. The effects of X-ray tube voltage on tissue CT value[J]. Radiologic Practice, 2013, 28(11): 1102−1104. (in Chinese).
    [6]
    彭文献, 彭天舟, 叶小琴, 等. CT扫描参数对人体组织CT值影响的研究[J]. 中华放射医学与防护杂志, 2010,30(1): 79−81. doi: 10.3760/cma.j.issn.0254-5098.2010.01.026

    PENG W X, PENG T Z, YE X Q, et al. Effect of CT scanning parameters on CT number[J]. Chinese Journal of Radiological Medicine and Protection, 2010, 30(1): 79−81. (in Chinese). doi: 10.3760/cma.j.issn.0254-5098.2010.01.026
    [7]
    赵雷, 刘波. 重建算法及射束硬化伪影对CT值测量的影响[J]. 影像研究与医学应用, 2019,3(14): 88−90.
    [8]
    韩萍, 于春水, 余永强, 等. 医学影像诊断学[M]. 4版. 北京: 人民卫生出版社, 2017: 4-5.
    [9]
    朱明, 刘贵霞, 李敬玉. CT扫描参数对CT值影响因素的实验研究[J]. 中国中西医结合影像学杂志, 2017,15(4): 91−93. doi: 10.3969/j.issn.1672-0512.2017.04.029
    [10]
    AOKAGE K, MIYOSHI T, ISHII G, et al. Clinical and pathological staging validation in the eighth edition of the TNM classification for lung cancer: Correlation between solid size on thin-section computed tomography and invasive size in pathological findings in the new T classification[J]. Journal of Thoracic Oncology, 2017, 12(9): 1403−1412. doi: 10.1016/j.jtho.2017.06.003
    [11]
    HENSCHKE C I, YIP R, SMITH J P, et al. CT screening for lung cancer: Part-solid nodules in baseline and annual repeat rounds[J]. American Journal of Roentgenology, 2016, 207(6): 1176−1184. doi: 10.2214/AJR.16.16043
    [12]
    YANKELEVITZ D F, YIP R, SMITH J P, et al. CT screening for lung cancer: Nonsolid nodules in baseline and annual repeat rounds[J]. Radiology, 2015, 277(2): 555−64. doi: 10.1148/radiol.2015142554
    [13]
    张丽, 吴宁, 李蒙, 等. Ⅰ期浸润性肺腺癌磨玻璃成分定量分析与附壁样生长的相关性研究[J]. 中华肿瘤杂志, 2017,39(4): 269−273. doi: 10.3760/cma.j.issn.0253-3766.2017.04.006

    ZHANG L, WU N, LI M, et al. The correlation study of ground glass opacity and lepidic growth pattern component in stage I lung invasive adenocarcinoma[J]. Chinese Journal of Oncology, 2017, 39(4): 269−273. (in Chinese). doi: 10.3760/cma.j.issn.0253-3766.2017.04.006
    [14]
    GAO C, LI J, WU L, et al. The natural growth of subsolid nodules predicted by quantitative initial CT features: A systematic review[J]. Frontiers in Oncology, 2020: 10318.
    [15]
    蒋宇, 贾晓民, 赵杰. 肺亚实性结节CT定量分析对肺腺癌病理侵袭性诊断价值[J]. 放射学实践, 2021,36(10): 1232−1237. doi: 10.13609/j.cnki.1000-0313.2021.10.007

    JIANG Y, JIA X M, ZHAO J. Diagnostic value of quantitative CT analysis of pulmonary subsolid nodules to lung adenocarcinoma[J]. Radiologic Practice, 2021, 36(10): 1232−1237. (in Chinese). doi: 10.13609/j.cnki.1000-0313.2021.10.007
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    YU Weijun
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      Departments of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

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