Dynamic changes of Chest CT follow-up in Coronavirus Disease-19 (COVID-19) pneumonia: relationship to clinical typing

被引:24
|
作者
Liu, Nian [1 ]
He, Guanghong [2 ]
Yang, Xiongxiong [2 ]
Chen, Jianxin [3 ]
Wu, Jie [4 ]
Ma, Min [5 ]
Lu, Wenying [6 ]
Li, Qiang [7 ]
Cheng, Tao [1 ]
Huang, Xiaohua [1 ]
机构
[1] North Sichuan Med Coll, Affiliated Hosp, Dept Radiol, 63 Wenhua Rd, Nanchong 637000, Peoples R China
[2] Nanchong Hosp Tradit Chinese Med, Dept Radiol, Nanchong 637000, Peoples R China
[3] Sichuan Univ, West China Guangan Hosp, Dept Radiol, Guangan 638000, Peoples R China
[4] Nanchong Cent Hosp, Dept CT MRI, Nanchong 637000, Peoples R China
[5] Wusheng Peoples Hosp, Dept Radiol, Guangan 638000, Peoples R China
[6] Langzhong Peoples Hosp, Dept Radiol, Nanchong 637000, Peoples R China
[7] Yuechi Peoples Hosp, Dept Radiol, Guangan 638000, Peoples R China
关键词
COVID-19; Coronavirus infections; Pneumonia; CT; Follow-up studies; FLEISCHNER-SOCIETY; GLOSSARY; WUHAN; TERMS;
D O I
10.1186/s12880-020-00491-2
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background To investigate the CT changes of different clinical types of COVID-19 pneumonia. Methods This retrospective study included 50 patients with COVID-19 from 16 January 2020 to 25 February 2020. We analyzed the clinical characteristics, CT characteristics and the pneumonia involvement of the patients between the moderate group and the severe and critical group, and the dynamic changes of severity with the CT follow-up time. Results There were differences in the CT severity score of the right lung in the initial CT, and total CT severity score in the initial and follow-up CT between the moderate group and the severe and critical group (allp < 0.05). There was a quadratic relationship between total CT severity score and CT follow-up time in the severe and critical group (r(2) = 0.137,p = 0.008), the total CT severity score peaked at the second follow-up CT. There was no correlation between total CT severity score and CT follow-up time in the moderate group (p > 0.05). There were no differences in the occurrence rate of CT characteristics in the initial CT between the two groups (allp > 0.05). There were differences in the occurrence rate of ground-glass opacity and crazy-paving pattern in the second follow-up CT, and pleural thickening or adhesion in the third follow-up CT between the two groups (allp < 0.05). Conclusions The CT changes of COVID-19 pneumonia with different severity were different, and the extent of pneumonia involvement by CT can help to assess the severity of COVID-19 pneumonia rather than the initial CT characteristics.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Early chest CT features of patients with 2019 novel coronavirus (COVID-19) pneumonia: relationship to diagnosis and prognosis
    Chen, Hui Juan
    Qiu, Jie
    Wu, Biao
    Huang, Tao
    Gao, Yunsuo
    Wang, Zhen Ping
    Chen, Yang
    Chen, Feng
    EUROPEAN RADIOLOGY, 2020, 30 (11) : 6178 - 6185
  • [42] Early chest CT features of patients with 2019 novel coronavirus (COVID-19) pneumonia: relationship to diagnosis and prognosis
    Hui Juan Chen
    Jie Qiu
    Biao Wu
    Tao Huang
    Yunsuo Gao
    Zhen Ping Wang
    Yang Chen
    Feng Chen
    European Radiology, 2020, 30 : 6178 - 6185
  • [43] The evolution of chest CT findings from admission to follow-up in 30 moderate to severe adult patients with COVID-19 pneumonia
    Yunfeng Zhou
    Hao Ren
    Shuo Wang
    Feng You
    Lei Feng
    Minhong Wang
    Jiangtao Wang
    Chinese Journal of Academic Radiology, 2021, 4 : 71 - 77
  • [44] The evolution of chest CT findings from admission to follow-up in 30 moderate to severe adult patients with COVID-19 pneumonia
    Zhou, Yunfeng
    Ren, Hao
    Wang, Shuo
    You, Feng
    Feng, Lei
    Wang, Minhong
    Wang, Jiangtao
    CHINESE JOURNAL OF ACADEMIC RADIOLOGY, 2021, 4 (01) : 71 - 77
  • [45] The clinical value of bedside ultrasound in predicting the severity of coronavirus disease-19 (COVID-19)
    Xian, Jianzhong
    Pei, Xiaofeng
    Lu, Wuzhu
    Zhong, Haihong
    Lin, Yuhong
    Jin, Hongjun
    Su, Zhongzhen
    ANNALS OF TRANSLATIONAL MEDICINE, 2021, 9 (04)
  • [46] The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT
    Xiong, Fei
    Wang, Ye
    You, Tao
    Li, Han Han
    Fu, Ting Ting
    Tan, Huibin
    Huang, Weicai
    Jiang, Yuanliang
    MEDICINE, 2021, 100 (12) : E25307
  • [47] Chest CT Features of Patients with COVID-19 Pneumonia Following Hospital Discharge
    Liu, Dong
    Fu, Fangfang
    Ye, Aihua
    Qiao, Zhenguo
    Hu, Chunhong
    CURRENT MEDICAL IMAGING, 2023, 19 (08) : 900 - 906
  • [48] FOLLOW-UP OF PATIENTS WITH SEVERE COVID-19 PNEUMONIA AND TORPID EVOLUTION
    Caguana Velez, Oswaldo Antonio
    Badenes, Diana
    Zuccarino, Flavio
    Del Carpio Bellido, Luis
    Rodriguez-Chiaradia, Diego
    Dominguez, Marisol
    Gea, Joaquim
    Balcells, Eva
    EUROPEAN RESPIRATORY JOURNAL, 2021, 58
  • [49] Spectrum of chest CT manifestations of coronavirus disease (COVID-19): A pictorial essay
    Parry, Arshed H.
    Wani, Haseeb A.
    Choh, Naseer A.
    Shah, Naveed N.
    Jehangir, Majid
    INDIAN JOURNAL OF RADIOLOGY AND IMAGING, 2021, 31 (05): : S170 - S177
  • [50] Noninvasive assessment of cardiac changes in patients with coronavirus disease-19 (COVID-19) by bedside ultrasound
    Gao, Ziqing
    Huang, Yongquan
    Lu, Wuzhu
    Chen, Xiaobo
    Li, Xuefeng
    Zhang, Shushan
    Su, Zhongzhen
    JOURNAL OF THORACIC DISEASE, 2022, 14 (02) : 423 - 430