ISSN 1004-4140
CN 11-3017/P
CHEN Mailin, LIU Yuliang, QI Liping, SUN Yingshi. Imaging Characteristics of Pulmonary Nodules on Public Network Image Consultation During the Outbreak of New Coronavirus Pneumonia[J]. CT Theory and Applications, 2020, 29(6): 643-650. DOI: 10.15953/j.1004-4140.2020.29.06.02
Citation: CHEN Mailin, LIU Yuliang, QI Liping, SUN Yingshi. Imaging Characteristics of Pulmonary Nodules on Public Network Image Consultation During the Outbreak of New Coronavirus Pneumonia[J]. CT Theory and Applications, 2020, 29(6): 643-650. DOI: 10.15953/j.1004-4140.2020.29.06.02

Imaging Characteristics of Pulmonary Nodules on Public Network Image Consultation During the Outbreak of New Coronavirus Pneumonia

  • Objective:To explore the situation of public network image consultation of pulmonary nodules during the outbreak of new coronavirus pneumonia. Methods:During the epidemic period of new coronavirus pneumonia, open the network public interest image consultation for lung diseases, Gender image information of 83 lung patients was collected, including age, sex, and reasons for inquiring. The imaging findings and diagnosis of pulmonary nodules were analyzed and recorded, which reflected the characteristics of pulmonary nodules in the imaging of network during the new crown pneumonia. Result:During the novel coronavirus pneumonia, 73 patients with pulmonary nodules were asked for network image consultation. 87 pulmonary nodules in 71 patients met the requirements of the radiographic diagnosis. The average age of the patients was about 35 years old. The imaging findings showed benign pulmonary nodules accounted for 87.4%(76/87), the uncertain nodules accounted for 8%(7/87), and the malignant pulmonary nodules accounted for 4.6%(4/87), and corresponding treatment suggestions were given. Conclusion:The network image consultationa is a feasible method to diagnose pulmonary nodules during the outbreak of new coronavirus pneumonia. The majority of the pulmonary nodules with network image consultation are benign, and it detected early lung cancer.
  • loading

Catalog

    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return