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WANG Zichen, HU Maoneng. Value of multimodal imaging in diagnosis of occupational pneumoconiosis[J]. Occupational Health and Emergency Rescue, 2022, 40(3): 323-326. DOI: 10.16369/j.oher.issn.1007-1326.2022.03.013
Citation: WANG Zichen, HU Maoneng. Value of multimodal imaging in diagnosis of occupational pneumoconiosis[J]. Occupational Health and Emergency Rescue, 2022, 40(3): 323-326. DOI: 10.16369/j.oher.issn.1007-1326.2022.03.013

Value of multimodal imaging in diagnosis of occupational pneumoconiosis

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  • Received Date: November 11, 2021
  •   Objective  To explore the value of multimodal imaging in the diagnosis of occupational pneumoconiosis.
      Methods  A total of 160 patients with occupational pneumoconiosis who were hospitalized from June 2018 to March 2021 were studied. All the subjects underwent high kilovolt radiography(HKV), digital radiography(DR), digital radiography combined with dual energy subtraction(DES) and high-resolution CT(HRCT). The consistency of the diagnostic staging results of these four examination methods for pneumoconiosis patients and the detection rates of pulmonary complications were compared, to evaluate the diagnostic efficacy of four methods in the diagnosis of pneumoconiosis.
      Results  HKV had medium consistency in the diagnosis of pneumoconiosis with kappa of 0.562 (95% CI: 0.471-0.652); The diagnostic results of DR and DES for pneumoconiosis were highly consistent with kappa of 0.669 (95% CI: 0.584-0.753) and 0.750 (95%CI: 0.677-0.823), respectively; HRCT was highly consistent in the diagnosis of pneumoconiosis with kappa of 0.882 (95% CI: 0.829-0.935) (P < 0.01). The detection rates of emphysema, bullae, pleural thickening and pleural effusion by these 4 methods were different (P < 0.05), while there was no significant difference in the detection rates of pulmonary tuberculosis (P > 0.05). The detection rates of emphysema, bullae, pleural thickening and pleural effusion by HRCT were higher than that by the other three methods (P < 0.05).
      Conclusions  These four methods have certain diagnostic efficacy in the diagnosis of occupational pneumoconiosis and its complications, and can be combined used to improve the accuracy of diagnosis and staging of pneumoconiosis.
  • [1]
    宋繁锐, 邱炜, 阮斌, 等. 采用数字化与高千伏X线胸片进行矽肺诊断的对照研究[J]. 中华劳动卫生职业病杂志, 2020, 38(12): 919-921. doi: 10.3760/cma.j.cn121094-20190613-00226
    [2]
    王成霞, 柳澄, 仇路, 等. 铝尘肺与矽肺患者胸部CT影像特征的对照研究[J]. 中华劳动卫生职业病杂志, 2021, 39(7): 534-537. doi: 10.3760/cma.j.cn121094-20200904-00517
    [3]
    WANG X, YU J, ZHU Q, et al. Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography[J]. Occup Environ Med, 2020, 77(9): 597-602. doi: 10.1136/oemed-2019-106386
    [4]
    国家卫生和计划生育委员会. 职业性尘肺病的诊断: GBZ 70-2015[S]. 北京: 中国标准出版社, 2016.
    [5]
    张鸿玲, 李怡, 樊满齐, 等. 不同HRCT分型尘肺病患者肺通气功能障碍分析[J]. 中国职业医学, 2020, 47(6): 711-715. https://www.cnki.com.cn/Article/CJFDTOTAL-XYYX202006020.htm
    [6]
    曹子文, 胡碧华, 陈丽琨, 等. 高分辨率CT (HRCT)在尘肺诊断中的应用探讨[J]. 辽宁医学杂志, 2018, 32(3): 45-46. https://www.cnki.com.cn/Article/CJFDTOTAL-LNYX201803018.htm
    [7]
    曾敏, 胡茂能, 含笑, 等. 胸部DR高千伏成像与CT成像在尘肺病诊断中的价值比较[J]. 安徽医学, 2020, 41(10): 1147-1150. doi: 10.3969/j.issn.1000-0399.2020.10.009
    [8]
    张雅娟, 曾凤霞, 陈卫国, 等. 基于2015版尘肺病诊断标准影像报告及诊断分期的一致性研究[J]. 实用医学杂志, 2021, 37(6): 797-801. doi: 10.3969/j.issn.1006-5725.2021.06.022
    [9]
    MCBEAN R, NEWBIGIN K, DICKINSON S, et al. Radiological appearance of coal mine dust lung diseases in Australian workers[J]. J Med Imaging Radiat Oncol, 2018, 62(6): 794-797. doi: 10.1111/1754-9485.12821
    [10]
    郑柳静. 职业性石棉尘肺普通高千伏胸片与数字化(DR)胸片的对比分析[J]. 影像研究与医学应用, 2020, 4(6): 75-76. https://www.cnki.com.cn/Article/CJFDTOTAL-YXYY202006047.htm
    [11]
    MASANORI A. Imaging diagnosis of classical and new pneumocon iosis: predominant reticular HRCT pattern[J]. Insights Imaging, 2021, 12(1): 33. doi: 10.1186/s13244-021-00966-y
    [12]
    王成霞, 王宁宁, 仇路, 等. 尘肺病胸部CT与DR胸片影像差异研究[J]. 职业与健康, 2021, 37(1): 5-10. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYJK202101002.htm
    [13]
    孙明鑫, 刘忠岐, 刘海涛, 等. 胸部DR摄影的双能量减影技术的应用分析[J]. 影像研究与医学应用, 2021, 5(1): 73-74. https://www.cnki.com.cn/Article/CJFDTOTAL-YXYY202101037.htm
    [14]
    DEVNATH L, LUO S, SUMMONS P, et al. Automated detection of pneumoconiosis with multilevel deep features learned from chest X-Ray radiographs[J]. Comput Biol Med, 2021, 129: 104125. doi: 10.1016/j.compbiomed.2020.104125
    [15]
    翟荣存, 刘晓东, 李年春, 等. 尘肺病高千伏胸片小阴影聚集的MSCT表现[J]. 中国CT和MRI杂志, 2020, 18(8): 43-45;72. https://www.cnki.com.cn/Article/CJFDTOTAL-CTMR202008014.htm
    [16]
    杜芳莉, 陈林霞, 许秀玲. 高千伏胸片、DR、高分辨率CT在职业性尘肺病诊断中的应用比较[J]. 疾病监测与控制, 2020, 14(2): 108-111. https://www.cnki.com.cn/Article/CJFDTOTAL-JBJK202002008.htm
    [17]
    ERGÜN R, ERGÜN D, EDER E, et al. Evaluation of dental technician's pneumoconiosis using chest X-ray and HRCT: correlation between radiological and functional findings[J]. Turk J Med Sci, 2017, 47: 252.
    [18]
    宋辉. HRCT检查在尘肺合并肺结核中的诊断价值[J]. 河南医学研究, 2020, 29(13): 2438-2440. https://www.cnki.com.cn/Article/CJFDTOTAL-HNYX202013069.htm
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