The value of monochromatic imaging of spectral CT in early coronavirus disease 2019_West China Medical Journal

Authors：

WEN Yuting , LI Wanjiang , SHUAI Tao , PAN Xuelin , PENG Liqing , QIN Yun ,  LI Zhenlin

Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;

Corresponding author：

LI Zhenlin, Email: lzlcd01@126.com

Keywords：

Spectrum; Computed tomography; Coronavirus disease 2019; Image quality

DOI：

10.7507/1002-0179.202002213

Video：

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Objective To explore the impact of different monochromatic reconstruction on image quality of early lesions of coronavirus disease 2019 (COVID-19).Methods The chest spectral CT images of 11 patients confirmed as COVID-19 in West China Hospital of Sichuan University between January and February 2020 were retrospectively analyzed. A total of 34 inflammatory lesions were found in the 11 cases. Seven groups of images were reconstructed from the raw data for each patient, including the conventional polychromatic image and different monochromatic images of 40-140 keV (with intervals of 20 keV). CT and standard deviation (SD) values of all lesions were measured to calculate the signal-noise ratio (SNR) and contrast-noise ratio (CNR). The image quality was subjectively scored by two radiologists, and the differences in image quality among different monochromatic groups and the polychromatic group were compared.Results With the increase of X-ray energy, the CT values and SD values of reconstructed images in monochromatic groups gradually decreased, and the SNRs and CNRs gradually increased, and the differences between adjacent two groups were all statistically significant (P<0.001). In the range of 80-140 keV, the SD values of different monochromatic groups were lower than that of the polychromatic group, and the SNRs and CNRs were higher than those of the polychromatic group, and the pairwise comparison results showed statistically significant differences (P<0.001). The 120 keV-reconstructed image had the highest subjective score, and the difference from that of the polychromatic image was statistically significant (P<0.05).Conclusions Different monochromatic reconstruction of spectral CT can significantly reduce the image noise in early COVID-19 lesions, and improve the image quality. Combining subjective and objective evaluation of images, the 120 keV-reconstructed monochromatic image shows the best early lesions of COVID-19 and is of great significance for early clinical screening.

Citation： WEN Yuting, LI Wanjiang, SHUAI Tao, PAN Xuelin, PENG Liqing, QIN Yun, LI Zhenlin. The value of monochromatic imaging of spectral CT in early coronavirus disease 2019. West China Medical Journal, 2020, 35(3): 264-268. doi: 10.7507/1002-0179.202002213 Copy

1.	中华人民共和国国家卫生健康委员会. 截至2月14日24时新型冠状病毒肺炎疫情最新情况. (2020-02-15)[2020-02-15]. http://www.nhc.gov.cn/xcs/yqtb/202002/50994e4df10c49c199ce6db07e196b61.shtml.
2.	World Health Organization. Novel coronavirus-China. (2020-01-12)[2020-02-19]. https://www.who.int/csr/don/12-january-2020-novel-coronavirus-china/en/.
3.	Chung M, Bernheim A, Mei X, et al. CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology, 2020: 200230. http://www.ncbi.nlm.nih.gov/pubmed/32017661.
4.	国家卫生健康委, 国家中医药管理局. 新型冠状病毒感染的肺炎诊疗方案(试行第五版). 中国中西医结合杂志. (2020-02-08)[2020-02-19]. http://kns.cnki.net/kcms/detail/11.2787.R.20200208.1034.002.html.
5.	Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet, 2020, 395(10223): 507-513.
6.	Yin XP, Gao BL, Li Y, et al. Optimal monochromatic imaging of spectral computed tomography potentially improves the quality of hepatic vascular imaging. Korean J Radiol, 2018, 19(4): 578-584.
7.	孙奕波. 最佳对比噪声比后处理技术在能谱 CT 血管成像中的应用价值. 上海: 复旦大学, 2013.
8.	雷子乔, 史河水, 梁波, 等. 新型冠状病毒(2019-nCoV)感染的肺炎的影像学检查与感染防控的工作方案. 临床放射学杂志. (2020-02-06)[2020-02-19]. https://doi.org/10.13437/j.cnki.jcr.20200206.001.
9.	Singh S, Kalra MK, Moore MA, et al. Dose reduction and compliance with pediatric CT protocols adapted to patient size, clinical indication, and number of prior studies. Radiology, 2009, 252(1): 200-208.
10.	靳英辉, 蔡林, 程真顺, 等. 新型冠状病毒(2019-nCoV)感染的肺炎诊疗快速建议指南(标准版). 解放军医学杂志. (2020-02-02)[2020-02-19]. http://kns.cnki.net/kcms/detail/11.1056.r.20200201.1338.003.html.
11.	管汉雄, 熊颖, 申楠茜, 等. 2019 新型冠状病毒(2019-nCoV)肺炎的临床影像学特征初探. 放射学实践. (2020-02-03)[2020-02-19]. https://doi.org/10.13609/j.cnki.1000-0313.2020.02.001.
12.	任庆国, 滑炎卿, 李剑颖, 等. CT 能谱成像的基本原理及临床应用. 国际医学放射学杂志, 2011, 34(6): 559-563.
13.	Rizzo S, Radice D, Femia M, et al. Metastatic and non-metastatic lymph nodes: quantification and different distribution of iodine uptake assessed by dual-energy CT. Eur Radiol, 2018, 28(2): 760-769.
14.	殷小平, 王佳宁, 田笑, 等. 能谱 CT 最佳单能量成像优化肝脏血管图像质量的研究. 放射学实践, 2017, 32(9): 942-946.
15.	朱凤婷, 陈嘉雯, 卓水清, 等. 胸部能谱成像与常规 CT 扫描辐射剂量与图像质量对比评价. 影像技术, 2019, 31(3): 56-59.
16.	梁远凤, 李琦, 罗天友, 等. 能谱 CT 平扫定量分析鉴别诊断周围型肺癌与结核球. 中国医学影像技术, 2017, 33(8): 1206-1210.

1. 中华人民共和国国家卫生健康委员会. 截至2月14日24时新型冠状病毒肺炎疫情最新情况. (2020-02-15)[2020-02-15]. http://www.nhc.gov.cn/xcs/yqtb/202002/50994e4df10c49c199ce6db07e196b61.shtml.
2. World Health Organization. Novel coronavirus-China. (2020-01-12)[2020-02-19]. https://www.who.int/csr/don/12-january-2020-novel-coronavirus-china/en/.
3. Chung M, Bernheim A, Mei X, et al. CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology, 2020: 200230. http://www.ncbi.nlm.nih.gov/pubmed/32017661.
4. 国家卫生健康委, 国家中医药管理局. 新型冠状病毒感染的肺炎诊疗方案(试行第五版). 中国中西医结合杂志. (2020-02-08)[2020-02-19]. http://kns.cnki.net/kcms/detail/11.2787.R.20200208.1034.002.html.
5. Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet, 2020, 395(10223): 507-513.
6. Yin XP, Gao BL, Li Y, et al. Optimal monochromatic imaging of spectral computed tomography potentially improves the quality of hepatic vascular imaging. Korean J Radiol, 2018, 19(4): 578-584.
7. 孙奕波. 最佳对比噪声比后处理技术在能谱 CT 血管成像中的应用价值. 上海: 复旦大学, 2013.
8. 雷子乔, 史河水, 梁波, 等. 新型冠状病毒(2019-nCoV)感染的肺炎的影像学检查与感染防控的工作方案. 临床放射学杂志. (2020-02-06)[2020-02-19]. https://doi.org/10.13437/j.cnki.jcr.20200206.001.
9. Singh S, Kalra MK, Moore MA, et al. Dose reduction and compliance with pediatric CT protocols adapted to patient size, clinical indication, and number of prior studies. Radiology, 2009, 252(1): 200-208.
10. 靳英辉, 蔡林, 程真顺, 等. 新型冠状病毒(2019-nCoV)感染的肺炎诊疗快速建议指南(标准版). 解放军医学杂志. (2020-02-02)[2020-02-19]. http://kns.cnki.net/kcms/detail/11.1056.r.20200201.1338.003.html.
11. 管汉雄, 熊颖, 申楠茜, 等. 2019 新型冠状病毒(2019-nCoV)肺炎的临床影像学特征初探. 放射学实践. (2020-02-03)[2020-02-19]. https://doi.org/10.13609/j.cnki.1000-0313.2020.02.001.
12. 任庆国, 滑炎卿, 李剑颖, 等. CT 能谱成像的基本原理及临床应用. 国际医学放射学杂志, 2011, 34(6): 559-563.
13. Rizzo S, Radice D, Femia M, et al. Metastatic and non-metastatic lymph nodes: quantification and different distribution of iodine uptake assessed by dual-energy CT. Eur Radiol, 2018, 28(2): 760-769.
14. 殷小平, 王佳宁, 田笑, 等. 能谱 CT 最佳单能量成像优化肝脏血管图像质量的研究. 放射学实践, 2017, 32(9): 942-946.
15. 朱凤婷, 陈嘉雯, 卓水清, 等. 胸部能谱成像与常规 CT 扫描辐射剂量与图像质量对比评价. 影像技术, 2019, 31(3): 56-59.
16. 梁远凤, 李琦, 罗天友, 等. 能谱 CT 平扫定量分析鉴别诊断周围型肺癌与结核球. 中国医学影像技术, 2017, 33(8): 1206-1210.

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