ISSN 1004-4140
CN 11-3017/P
陈麦林, 刘玉良, 齐丽萍, 孙应实. 新冠肺炎疫情期间肺结节影像网络公益图文问诊特点分析[J]. CT理论与应用研究, 2020, 29(6): 643-650. DOI: 10.15953/j.1004-4140.2020.29.06.02
引用本文: 陈麦林, 刘玉良, 齐丽萍, 孙应实. 新冠肺炎疫情期间肺结节影像网络公益图文问诊特点分析[J]. CT理论与应用研究, 2020, 29(6): 643-650. DOI: 10.15953/j.1004-4140.2020.29.06.02
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

新冠肺炎疫情期间肺结节影像网络公益图文问诊特点分析

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

  • 摘要: 目的:探讨新冠状病毒肺炎疫情期间,肺结节网络影像学图文问诊情况的分析。方法:新冠肺炎疫情期间,开放针对肺部病变的网络公益图文问诊,共收到83例肺部疾患患者中的肺结节患者的影像学网络就诊信息,包括年龄、性别、问诊原因等,对肺结节的影像学表现、诊断等进行统计分析,反映新冠肺炎疫情期间公益肺结节影像学网络图文问诊肺结节的特征。结果:新冠肺炎期间的网络公益图文问诊的肺结节患者73人,有71例患者的87枚肺结节满足网络图文问诊要求,问诊患者平均年龄约35岁,影像学发现良性的肺结节占87.4%(76/87),不确定结节占8.1%(7/87),恶性肺结节占4.6%(4/87),并给予了相应的处理意见。结论:新冠肺炎疫情期间肺结节的影像网络图文问诊是可行的,问诊以青年人为主、肺结节影像学表现绝大多数为良性肺结节,也发现了早期肺癌。

     

    Abstract: 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.

     

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