tetano
Editor, Senior Moderator
Ann Palliat Med
. 2021 Feb 8;apm-20-2532.
doi: 10.21037/apm-20-2532. Online ahead of print.
Dynamic analysis of pulmonary computed tomography (CT) characteristics in cured coronavirus disease 2019 (COVID-19) patients
Yunhui Yang[SUP] 1 [/SUP], Zhenghua Zhang[SUP] 2 [/SUP], Yuanming Jiang[SUP] 2 [/SUP], Zhipeng Li[SUP] 3 [/SUP], Hongyuan Yang[SUP] 4 [/SUP], Zhi Li[SUP] 5 [/SUP], Xiang Li[SUP] 6 [/SUP], Juntao Yang[SUP] 7 [/SUP], Jing Zhang[SUP] 8 [/SUP], Yan Peng[SUP] 9 [/SUP], Lin Luo[SUP] 10 [/SUP], Wen Chang[SUP] 10 [/SUP], Wei Zhao[SUP] 11 [/SUP], Yi Wu[SUP] 12 [/SUP], Cunwen Ma[SUP] 13 [/SUP], Shiping Wang[SUP] 14 [/SUP], Yongjian Wen[SUP] 15 [/SUP], Fushun Pu[SUP] 16 [/SUP], Xuefei Jiang[SUP] 17 [/SUP], Lishuang Shen[SUP] 18 [/SUP], Zhengyi Zhan[SUP] 19 [/SUP], Yong Jin[SUP] 20 [/SUP], Qiming Li[SUP] 21 [/SUP], Wenfang Yi[SUP] 2 [/SUP], Ying Xie[SUP] 22 [/SUP], Yanlong Tang[SUP] 23 [/SUP], Hao Duan[SUP] 24 [/SUP], Kai Yang[SUP] 25 [/SUP], Yu Su[SUP] 26 [/SUP], Chuncai Wu[SUP] 27 [/SUP], Zhongzheng Luo[SUP] 28 [/SUP], Peng Wang[SUP] 29 [/SUP], Minchang Hong[SUP] 9 [/SUP], Shiqiang Yang[SUP] 30 [/SUP], Wenyong Bai[SUP] 31 [/SUP], Guilin Yu[SUP] 32 [/SUP], Shaohua Liu[SUP] 33 [/SUP], Zhongmin Nie[SUP] 34 [/SUP], Guangbi Song[SUP] 35 [/SUP], Dongquan Guo[SUP] 36 [/SUP], Xiaobo He[SUP] 37 [/SUP], Zhiyu Chen[SUP] 11 [/SUP], Kaiyi Xue[SUP] 38 [/SUP], Jiyao Ma[SUP] 2 [/SUP], Yuchun Wu[SUP] 39 [/SUP], Xiaotao Yang[SUP] 40 [/SUP], Bo He[SUP] 41 [/SUP], Kunhua Wang[SUP] 42 [/SUP], Jiangyuan Pi[SUP] 43 [/SUP]
Affiliations
Abstract
Background: To retrospectively analyze the pulmonary computed tomography (CT) characteristics and dynamic changes in the lungs of cured coronavirus disease 2019 (COVID-19) patients at discharge and reexamination.
Methods: A total of 155 cured COVID-19 patients admitted to designated hospitals in Yunnan Province, China, from February 1, 2020, to March 20, 2020, were included. All patients underwent pulmonary CT at discharge and at 2 weeks after discharge (during reexamination at hospital). A retrospective analysis was performed using these two pulmonary CT scans of the cured patients to observe changes in the number, distribution, morphology, and density of lesions.
Results: At discharge, the lung CT images of 15 cured patients showed no obvious lesions, while those of the remaining 140 patients showed different degrees of residual lesions. Patients with moderate disease mostly had multiple pulmonary lesions, mainly in the lower lobes of both lungs. At reexamination, the lung lesions in the patients with moderate disease had significantly improved (P<0.05), and the lung lesions in the patients with severe disease had partially improved, especially in patients with multi-lobe involvement (χ 2 =3.956, P<0.05). At reexamination, the lung lesions of patients with severe disease did not show significant changes (P>0.05).
Conclusions: The pulmonary CT manifestations of cured COVID-19 patients had certain characteristics and variation patterns, providing a reference for the clinical evaluation of treatment efficacy and prognosis of patients.
Keywords: pneumonia; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); X-ray computed tomography (X-ray CT); computed tomography (CT).
. 2021 Feb 8;apm-20-2532.
doi: 10.21037/apm-20-2532. Online ahead of print.
Dynamic analysis of pulmonary computed tomography (CT) characteristics in cured coronavirus disease 2019 (COVID-19) patients
Yunhui Yang[SUP] 1 [/SUP], Zhenghua Zhang[SUP] 2 [/SUP], Yuanming Jiang[SUP] 2 [/SUP], Zhipeng Li[SUP] 3 [/SUP], Hongyuan Yang[SUP] 4 [/SUP], Zhi Li[SUP] 5 [/SUP], Xiang Li[SUP] 6 [/SUP], Juntao Yang[SUP] 7 [/SUP], Jing Zhang[SUP] 8 [/SUP], Yan Peng[SUP] 9 [/SUP], Lin Luo[SUP] 10 [/SUP], Wen Chang[SUP] 10 [/SUP], Wei Zhao[SUP] 11 [/SUP], Yi Wu[SUP] 12 [/SUP], Cunwen Ma[SUP] 13 [/SUP], Shiping Wang[SUP] 14 [/SUP], Yongjian Wen[SUP] 15 [/SUP], Fushun Pu[SUP] 16 [/SUP], Xuefei Jiang[SUP] 17 [/SUP], Lishuang Shen[SUP] 18 [/SUP], Zhengyi Zhan[SUP] 19 [/SUP], Yong Jin[SUP] 20 [/SUP], Qiming Li[SUP] 21 [/SUP], Wenfang Yi[SUP] 2 [/SUP], Ying Xie[SUP] 22 [/SUP], Yanlong Tang[SUP] 23 [/SUP], Hao Duan[SUP] 24 [/SUP], Kai Yang[SUP] 25 [/SUP], Yu Su[SUP] 26 [/SUP], Chuncai Wu[SUP] 27 [/SUP], Zhongzheng Luo[SUP] 28 [/SUP], Peng Wang[SUP] 29 [/SUP], Minchang Hong[SUP] 9 [/SUP], Shiqiang Yang[SUP] 30 [/SUP], Wenyong Bai[SUP] 31 [/SUP], Guilin Yu[SUP] 32 [/SUP], Shaohua Liu[SUP] 33 [/SUP], Zhongmin Nie[SUP] 34 [/SUP], Guangbi Song[SUP] 35 [/SUP], Dongquan Guo[SUP] 36 [/SUP], Xiaobo He[SUP] 37 [/SUP], Zhiyu Chen[SUP] 11 [/SUP], Kaiyi Xue[SUP] 38 [/SUP], Jiyao Ma[SUP] 2 [/SUP], Yuchun Wu[SUP] 39 [/SUP], Xiaotao Yang[SUP] 40 [/SUP], Bo He[SUP] 41 [/SUP], Kunhua Wang[SUP] 42 [/SUP], Jiangyuan Pi[SUP] 43 [/SUP]
Affiliations
- PMID: 33615812
- DOI: 10.21037/apm-20-2532
Abstract
Background: To retrospectively analyze the pulmonary computed tomography (CT) characteristics and dynamic changes in the lungs of cured coronavirus disease 2019 (COVID-19) patients at discharge and reexamination.
Methods: A total of 155 cured COVID-19 patients admitted to designated hospitals in Yunnan Province, China, from February 1, 2020, to March 20, 2020, were included. All patients underwent pulmonary CT at discharge and at 2 weeks after discharge (during reexamination at hospital). A retrospective analysis was performed using these two pulmonary CT scans of the cured patients to observe changes in the number, distribution, morphology, and density of lesions.
Results: At discharge, the lung CT images of 15 cured patients showed no obvious lesions, while those of the remaining 140 patients showed different degrees of residual lesions. Patients with moderate disease mostly had multiple pulmonary lesions, mainly in the lower lobes of both lungs. At reexamination, the lung lesions in the patients with moderate disease had significantly improved (P<0.05), and the lung lesions in the patients with severe disease had partially improved, especially in patients with multi-lobe involvement (χ 2 =3.956, P<0.05). At reexamination, the lung lesions of patients with severe disease did not show significant changes (P>0.05).
Conclusions: The pulmonary CT manifestations of cured COVID-19 patients had certain characteristics and variation patterns, providing a reference for the clinical evaluation of treatment efficacy and prognosis of patients.
Keywords: pneumonia; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); X-ray computed tomography (X-ray CT); computed tomography (CT).