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

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1. 中華人民共和國國家衛生健康委員會. 截至2月14日24時新型冠狀病毒肺炎疫情最新情況. (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. 國家衛生健康委, 國家中醫藥管理局. 新型冠狀病毒感染的肺炎診療方案(試行第五版). 中國中西醫結合雜志. (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. 孫奕波. 最佳對比噪聲比后處理技術在能譜 CT 血管成像中的應用價值. 上海: 復旦大學, 2013.
8. 雷子喬, 史河水, 梁波, 等. 新型冠狀病毒(2019-nCoV)感染的肺炎的影像學檢查與感染防控的工作方案. 臨床放射學雜志. (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. 靳英輝, 蔡林, 程真順, 等. 新型冠狀病毒(2019-nCoV)感染的肺炎診療快速建議指南(標準版). 解放軍醫學雜志. (2020-02-02)[2020-02-19]. http://kns.cnki.net/kcms/detail/11.1056.r.20200201.1338.003.html.
11. 管漢雄, 熊穎, 申楠茜, 等. 2019 新型冠狀病毒(2019-nCoV)肺炎的臨床影像學特征初探. 放射學實踐. (2020-02-03)[2020-02-19]. https://doi.org/10.13609/j.cnki.1000-0313.2020.02.001.
12. 任慶國, 滑炎卿, 李劍穎, 等. CT 能譜成像的基本原理及臨床應用. 國際醫學放射學雜志, 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, 王佳寧, 田笑, 等. 能譜 CT 最佳單能量成像優化肝臟血管圖像質量的研究. 放射學實踐, 2017, 32(9): 942-946.
15. 朱鳳婷, 陳嘉雯, 卓水清, 等. 胸部能譜成像與常規 CT 掃描輻射劑量與圖像質量對比評價. 影像技術, 2019, 31(3): 56-59.
16. 梁遠鳳, 李琦, 羅天友, 等. 能譜 CT 平掃定量分析鑒別診斷周圍型肺癌與結核球. 中國醫學影像技術, 2017, 33(8): 1206-1210.

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