Literature DB >> 33213239

Dynamic changes in computed tomography manifestations of 105 patients with novel coronavirus pneumonia in Wuhan, China.

Yueying Pan1, Liming Xia1, Yujin Wang1, Hanxiong Guan1.   

Abstract

OBJECTIVE: To observe the evolution of chest high-resolution computed tomography (HRCT) manifestations in 105 patients with coronavirus disease 2019 (COVID-19).
METHODS: One hundred five patients with confirmed COVID-19 were enrolled from 11 January to 9 February 2020. Sequential chest HRCT examinations were performed. Five stages were identified from the onset of initial symptoms: 0-3, 4-7, 8-14, 15-21, and >21 days (Stages A-E, respectively). A semi-quantitative CT scoring system was used to estimate the sum of lung abnormalities in each stage.
RESULTS: In total, 393 CT scans were collected. The patients underwent 3.8 ± 1.5 CT examinations. Multiple lobes were involved in most cases. The proportion of consolidation and the total CT score gradually increased from Stage A to C and gradually decreased from Stage C to E. The total CT score of lung involvement was significantly higher in Stage C than in Stages B and D. The CT score of the lower lobe was significantly higher than the corresponding upper and middle lobes in Stages A to D.
CONCLUSIONS: Most patients with COVID-19 had a disease course of >14 days, and the lung lesions in most patients improved after 14 days since initial symptom onset.

Entities:  

Keywords:  COVID-19; computed tomography; coronavirus infection; disease course; imaging manifestations; lung disease; pneumonia

Mesh:

Year:  2020        PMID: 33213239      PMCID: PMC7686644          DOI: 10.1177/0300060520972913

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


Introduction

During the first week of December 2019, a few cases of pneumonia caused by a novel coronavirus appeared in Wuhan, Hubei Province, China. The patients had a history of visiting the nearby Huanan seafood market, where wild animals were sold.[1] With the spread of the disease, such cases have also been found in other parts of China and abroad. As of 8 July 2020, 11,818,342 cases have been confirmed worldwide, including 544,157 deaths and 6,286,169 recoveries. The novel coronavirus was originally named 2019 novel coronavirus (2019-nCoV); it was recently officially renamed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by the International Committee on Taxonomy of Viruses. The disease caused by SARS-CoV-2 has been named coronavirus disease 2019 (COVID-19) by the World Health Organization. Like SARS-CoV, SARS-CoV-2 likely originated in bats; however, the intermediary animal host remains unclear. The nearest neighbor of the 2019-nCoV isolates from China is a bat SARS-like coronavirus (Bat-SL-CoVZC45).[2] SARS-CoV-2 carries a high risk of human-to-human transmission, and such transmission has been reported in family clusters and among medical workers.[3,4] The main route of transmission is respiratory droplets and contact transmission; the virus may also be transmitted through the conjunctiva and via aerosols.[5] Current epidemiological surveys indicate that the latency period generally ranges from 3 to 7 days, with a maximum of 14 days. Affected patients present with pneumonia-like symptoms, including fever, fatigue, cough, expectoration, pharyngalgia, anorexia, and myalgia. Some patients also have gastrointestinal symptoms, including diarrhea, nausea, vomiting, and abdominal pain. In severe cases, patients may rapidly develop acute respiratory distress syndrome, septic shock, difficult-to-correct metabolic acidosis, and coagulation dysfunction.[5,6] Increasing numbers of studies are suggesting the high clinical value of imaging examinations, especially high-resolution computed tomography (HRCT) of the chest, in patients with novel coronavirus pneumonia.[7-9] Typical CT imaging manifestations include multiple patchy subsegmental or segmental ground-glass opacities (GGOs) and consolidation in the bilateral lungs.[10] The imaging manifestations in patients with novel coronavirus pneumonia often change rapidly, and many patients thus undergo repeated CT examinations. Some patients with novel coronavirus pneumonia gradually improve, whereas others develop persistent hypoxemia or dyspnea and gradually worsen. The changes in the patient’s condition are often closely related to the severity of the lung lesions. Therefore, observing the evolution of the lung lesions by chest CT is very important to assess and predict the patient’s outcome. This study was to performed observe the changes in the chest HRCT manifestations of 105 patients with pneumonia caused by SARS-CoV-2 from the time of the initial diagnosis. To our knowledge, this is the largest population evaluated to date among studies of the dynamic changes in imaging manifestations of novel coronavirus pneumonia.

Materials and methods

This study was approved by the ethics committee of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. The requirement for informed consent was waived because of the retrospective nature of the study. Anonymous data were collected and analyzed.

Study design and participants

Consecutive patients were retrospectively enrolled in this single-center study from 11 January 2020 to 9 February 2020. These patients met the Diagnosis and Treatment of New Coronavirus Pneumonia (trial version 7) issued by the National Health Commission of the People’s Republic of China,[11] and their diagnoses were confirmed by reverse-transcription polymerase chain reaction. According to the Diagnosis and Treatment of New Coronavirus Pneumonia (trial version 7) issued by the Chinese National Health Committee, patients who developed severe pneumonia during their disease course were excluded. Severe pneumonia was defined as severe respiratory distress (respiratory rate of >30 breaths/minute), a requirement for oxygen treatment or mechanical ventilation, an oxygen saturation of <93% on room air, a partial arterial oxygen pressure/fraction of inspired oxygen ratio of ≤300 mmHg, shock, or pneumonia combined with other organ failure.

CT data acquisition and image reconstruction

All patients were examined using a Discovery CT750 HD scanner (GE Healthcare, Chicago, IL, USA) during a single inspiratory phase. Before the examination, the medical staff guided the patient to hold his or her breath and inhale. After complete exhalation, the patient held his or her breath, and a CT scan was performed from the bottom of the lung to the apex of the lung. The tube voltage was 120 kVp with automatic tube current modulation. The scan time was 2 s, the scan interval was 5 mm, and the scan layer thickness was 5 mm. After scanning, adaptive statistical iterative reconstruction of 30% and the standard algorithm were adopted, and the reconstruction layer thickness was 1.25 mm. No contrast agent was used during the CT scan. Most patients underwent multiple chest CT examinations, largely because the clinicians were still unclear about the evolution tendencies of the lung lesions associated with COVID-19 pneumonia. Additionally, some patients had symptoms such as hypoxemia or dyspnea due to rapid disease progression. Therefore, multiple chest CT examinations were required to observe the progress or absorption of pneumonia.

Chest CT evaluation and grouping

The major CT manifestations were described using internationally standard nomenclature defined by the Fleischner Society glossary, using terms such as GGO, consolidation, and fibrous strips.[12] A semi-quantitative scoring system was used to estimate the pulmonary involvement of all of these abnormalities on the basis of the area involved.[13] Each of the five lung lobes was visually scored from 0 to 5 as follows: 0, no involvement; 1, <5% involvement; 2, 5% to 25% involvement; 3, 26% to 49% involvement; 4, 50% to 75% involvement; and 5, >75% involvement. The total CT score was the sum of the individual lobar scores and ranged from 0 (no involvement) to 25 (maximum involvement). The number of affected lung lobes was also recorded. The images were transferred to an AW4.7 workstation (GE Healthcare) and anonymized. All images were evaluated by two radiologists with more than 10 years of work experience, and the final scores were determined by consensus.

Statistical analysis

Statistical analysis was performed using SPSS Statistics for Windows, Version 17.0 (SPSS Inc., Chicago, IL, USA). Measurement data are expressed as mean ± standard deviation (minimum–maximum), and categorical data are presented as the percentage of the group. A P-value of <0.05 was defined as statistically significant.

Results

Demographics and laboratory investigations

In total, 393 CT scans of 105 patients (49 men, 56 women) with confirmed COVID-19 were collected. The patients’ ages ranged from 23 to 72 years, and their mean age was 48.6 ± 13.1 years. Fever was the most common symptom (Table 1). The patients underwent 3.8 ± 1.5 (2–9) chest CT examinations, and the interval between the first and last scan was 16.6 ± 9.0 days (1–47 days).
Table 1.

Patients’ demographic characteristics and laboratory investigation findings.

All patients (n = 105)
Age, years48.6 ± 13.1 (23–72)
Sex
 Male49 (46.7)
 Female56 (53.3)
Initial symptoms
 Fatigue8 (7.6)
 Fever86 (81.9)
 Cough10 (9.5)
 Myalgia1 (0.95)
 Dizziness1 (0.95)
 Diarrhea1 (0.95)
 Chest distress1 (0.95)
Laboratory investigations
 White blood cell count, G/L6.9 ± 5.7 (2.3–23.5)
 Neutrophil count, G/L5.1 ± 5.7 (1.3–21.1)
 Lymphocyte count, G/L1.3 ± 0.5 (0.4–2.4)
 C-reactive protein, mg/L18.0 ± 15.4 (1.4–52.6)↑
 Erythrocyte sedimentation rate, seconds18.4 ± 22.0 (2.0–64.0)
 Alanine aminotransferase, U/L26.8 ± 19.0 (11.0–67.0)
 D-dimers, mg/L0.8 ± 0.7 (0.3–3.0)↑
 Creatinine, µmol/L67.8 ± 14.8 (43.0–94.0)
 Ferritin, µg/L1006.2 ± 888.7 (41.6–2513.0)↑
Number of scans3.8 ± 1.5 (2–9)
Interval between first and last scans, days16.6 ± 9.0 (1–47)

Data are presented as mean ± standard deviation (minimum–maximum) or n (%).

↑: Higher than upper limit of reference range.

Patients’ demographic characteristics and laboratory investigation findings. Data are presented as mean ± standard deviation (minimum–maximum) or n (%). ↑: Higher than upper limit of reference range. The laboratory results are presented in Table 1. Most laboratory results were normal, with mildly elevated concentrations of C-reactive protein (18.0 ± 15.4 mg/L), D-dimers (0.8 ± 0.7 mg/L), and ferritin (1006.2 ± 888.7 µg/L).

CT image analysis

Based on clinical experience, five stages were identified from the onset of initial symptoms: Stage A (0–3 days, n = 104), Stage B (4–7 days, n = 73), Stage C (8–14 days, n = 85), Stage D (15–21 days, n = 59), and Stage E (>21 days, n = 26). One patient had a 4-day history of cough with fever and was in Stage B at the time of admission. The frequencies of different lesions in different stages are presented in Table 2. Two patients in Stage A and one patient in Stage E had no lesions. Multiple lobes were involved in most of the CT scans in all stages. Multiple lobe involvement was present in 86 (82.7%) patients in Stage A, 68 (93.2%) in Stage B, 77 (90.6%) in Stage C, 53 (89.8%) in Stage D, and 22 (84.6%) in Stage E. GGOs could be seen in all stages, and the proportion of GGOs in each stage was similar. The proportion of consolidation first increased and then decreased over time. GGOs and consolidation were present in 80 (76.9%) and 78 (75.0%) patients in Stage A, 50 (72.5%) and 57 (78.1%) in Stage B, 64 (75.3%) and 71 (83.5%) in Stage C, 43 (75.4%) and 31 (54.4%) in Stage D, and 18 (72.0%) and 4 (16.0%) in Stage E, respectively. The consolidations in some cases were absorbed.
Table 2.

Frequencies of different lesions in different stages.

Stage A(n = 104)Stage B(n = 73)Stage C(n = 85)Stage D(n = 59)Stage E(n = 26)
Involvement of lesions
 No involvement2 (1.9)0 (0.0)0 (0.0)0 (0.0)1 (3.8)
 Single lobe16 (15.4)5 (6.8)8 (9.4)6 (10.2)3 (11.5)
 Multiple lobes86 (82.7)68 (93.2)77 (90.6)53 (89.8)22 (84.6)
GGOs
 None24 (23.1)19 (27.5)21 (24.7)14 (24.6)7 (28.0)
 Yes80 (76.9)50 (72.5)64 (75.3)43 (75.4)18 (72.0)
Consolidation
 None26 (25.0)16 (21.9)14 (16.5)26 (45.6)21 (84.0)
 Yes78 (75.0)57 (78.1)71 (83.5)31 (54.4)4 (16.0)

Data are presented as n (%).

GGOs, ground-glass opacities.

Frequencies of different lesions in different stages. Data are presented as n (%). GGOs, ground-glass opacities. As shown in Table 3, the total CT score also first increased and then decreased over time, and the total CT score of pulmonary involvement was significantly higher in Stage B than in Stage A (8.1 ± 4.3 vs. 6.7 ± 4.4, respectively; P = 0.001). Additionally, the total CT score of lung involvement was significantly higher in Stage C than in Stages B and D [9.2 ± 4.6 vs. 8.1 ± 4.3 (P = 0.001) and 9.2 ± 4.6 vs. 7.1 ± 4.5 (P = 0.04), respectively]. The number of involved lobes was significantly higher in Stage B than in Stage A (3.9 ± 1.3 vs. 3.4 ± 1.6, respectively; P = 0.02). Notably, the CT score of the lower lobe was significantly higher than the corresponding upper and middle lobes in Stages A, B, C, and D (P < 0.001 for all). In Stage E, the CT score of the right lower lobe was significantly higher than that of the right upper/middle lobes (P = 0.01 and P = 0.002, respectively), whereas no significant difference was observed in the CT score between the left lower lobe and left upper lobe.
Table 3.

CT scores of pulmonary involvement in the five stages.

Stage A(n = 104)Stage B(n = 73)Stage C(n = 85)Stage D(n = 59)Stage E(n = 26)
Total CT score of pulmonary involvement6.7 ± 4.48.1 ± 4.3[1]9.2 ± 4.6[5],[6]7.1 ± 4.56.6 ± 4.8
Number of involved lobes3.4 ± 1.63.9 ± 1.3[1]4.1 ± 1.33.7 ± 1.53.8 ± 1.6
CT score in each lobe
 Right upper lobe2.0 ± 1.1[2]2.3 ± 1.222.1 ± 1.0[2]2.1 ± 1.0[2]1.9 ± 0.8[2]
 Right middle lobe1.8 ± 0.9[3]2.0 ± 0.9[3]1.9 ± 0.9[3]1.8 ± 0.8[3]1.8 ± 0.7[3]
 Right lower lobe2.1 ± 0.92.6 ± 0.92.3 ± 0.92.1 ± 0.82.0 ± 1.0
 Left upper lobe1.6 ± 0.9[4]2.1 ± 1.0[4]1.8 ± 0.9[4]1.8 ± 1.0[4]1.7 ± 0.9
 Left lower lobe2.0 ± 0.82.4 ± 0.92.2 ± 0.91.9 ± 1.01.6 ± 0.8

Data are presented as mean ± standard deviation.

CT, computed tomography.

1Mann–Whitney U test showed a significant difference between Stage A and Stage B (P < 0.05).

2Wilcoxon test showed a significant difference between the right upper lobe and right lower lobe (P < 0.05).

3Wilcoxon test showed a significant difference between the right middle lobe and right lower lobe (P < 0.05).

4Wilcoxon test showed a significant difference between the left upper lobe and left lower lobe (P < 0.05).

5Mann–Whitney U test showed a significant difference between Stage C and Stage B (P < 0.05).

6Mann–Whitney U test showed a significant difference between Stage C and Stage D (P < 0.05).

CT scores of pulmonary involvement in the five stages. Data are presented as mean ± standard deviation. CT, computed tomography. 1Mann–Whitney U test showed a significant difference between Stage A and Stage B (P < 0.05). 2Wilcoxon test showed a significant difference between the right upper lobe and right lower lobe (P < 0.05). 3Wilcoxon test showed a significant difference between the right middle lobe and right lower lobe (P < 0.05). 4Wilcoxon test showed a significant difference between the left upper lobe and left lower lobe (P < 0.05). 5Mann–Whitney U test showed a significant difference between Stage C and Stage B (P < 0.05). 6Mann–Whitney U test showed a significant difference between Stage C and Stage D (P < 0.05). The CT images of a patient with novel coronavirus pneumonia are shown in Figure 1. GGOs and consolidation first increased from Stage A to Stage C, after which the consolidation gradually absorbed; the GGOs then gradually decreased in Stages D and E.
Figure 1.

Computed tomography images of a 45-year-old man with novel coronavirus pneumonia. (a) Ground-glass opacities (GGOs) and consolidation were distributed mainly under the pleura. (b) Increased GGOs and consolidation were randomly distributed. (c) The consolidation was almost absorbed, leaving mainly GGOs. (d) The density and extent of the GGOs had decreased.

Computed tomography images of a 45-year-old man with novel coronavirus pneumonia. (a) Ground-glass opacities (GGOs) and consolidation were distributed mainly under the pleura. (b) Increased GGOs and consolidation were randomly distributed. (c) The consolidation was almost absorbed, leaving mainly GGOs. (d) The density and extent of the GGOs had decreased.

Discussion

Since the end of 2019, an outbreak of a novel pneumonia in Wuhan has been drawing tremendous attention around the world. Chinese government officials and researchers have taken swift measures to control the outbreak and conduct etiological studies. The causative agent of this pneumonia has been identified as SARS-CoV-2, a novel coronavirus. As its name suggests, its genetic structure is 82% similar to that of SARS-CoV.[14] The most frequently affected organ of the novel coronavirus is the lung. In the previous version of the diagnosis and treatment guideline for pneumonia caused by novel coronavirus, the diagnosis was confirmed by the presence of viral nucleic acids in throat swabs, sputum, and alveolar lavage fluid. However, the more recent guideline indicates that if typical chest CT findings are observed in patients suspected to have COVID-19, the patient should be clinically diagnosed. This reflects the important role of chest CT in the diagnosis. Moreover, current clinical experience is showing that the chest CT manifestations change rapidly. Therefore, many patients in the present study underwent multiple repeated examinations during treatment. To our knowledge, this study is by far the largest case series of follow-up imaging among patients with COVID-19. SARS-CoV-2 infects human respiratory epithelial cells through S-protein and has a strong infection capacity for humans. Coronavirus particles have a diameter of 60 to 140 nm and can directly reach the bottom of the lung. Because of lung volume and gravity, respiratory airflow, and other factors, the type II alveolar epithelial cells present at the bottom of the lung become the target cells of the coronavirus. Therefore, the lesions are mainly distributed under the pleura or along the vascular bronchial bundle.[15] After the alveolar epithelial cells have become combined with the virus, the alveolar wall is damaged and large numbers of immune cells and lymphocytes accumulate, resulting in swelling around the lung leaflets and blood vessel congestion. The pulmonary lobules merge with each other, forming nodular or patchy GGOs. As the disease progresses, multiple lung segments become involved, the scope of the lesion expands, the alveolar wall shrinks and collapses, and the exfoliated and necrotic epithelium and the exuded inflammatory cells form a hyaline membrane. These changes manifest as coexisting imaging abnormalities such as GGOs, nodules, consolidation, and fibrous cord strips.[12] Several studies have focused on the evolution of CT changes in patients with COVID-19 pneumonia. Pan et al.[16] analyzed the disease course according to 4-day stages and found that the CT score was the highest on days 9 to 13 of the disease course; after 9 days, the CT score of the lower lung was significantly higher than that of the middle and upper lungs. Zhou et al.[17] found that CT images of patients with COVID-19 pneumonia showed a predominantly peripheral, middle, lower, and posterior distribution. The early rapid progressive stage was 1 to 7 days from symptom onset, the advanced stage with peak levels of CT abnormalities occurred from 8 to 14 days, and the abnormalities started to improve after 14 days. Lei et al.[18] reported that patients with COVID-19 pneumonia had a typical transition from the early stage to the advanced stage and then from the advanced stage to the dissipating stage. Single or multiple GGOs were distributed along the bronchovascular or subpleural regions in the pulmonary parenchyma in the early stage, higher-density consolidations were observed in the advanced stage, and the GGOs and consolidations were absorbed in the dissipating stage. Xiang et al.[19] evaluated only six patients with COVID-19 pneumonia and reported that the CT score peaked at 5 to 9 days and that the CT scores of the lower lobes were significantly higher than those of the middle/upper lobes after 10 days from disease onset. These findings were consistent with those reported by Pan et al.[16] Liang et al.[20] reported that the majority of patients had involvement of three or more lobes. Bilateral involvement was more prevalent than unilateral involvement. The proportions of patients observed to have pure GGOs or GGOs and consolidation decreased over time, while the proportion of patients with GGOs and linear opacities increased. The total severity score showed an increasing trend in the first 2 weeks. Bernheim et al.[21] divided the disease course into three stages (0–2, 3–5, and 6–12 days) and found that 56% of patients in the first stage had normal CT findings. As the time since onset of symptoms increased, the CT abnormalities became more frequent; these findings included consolidation, bilateral and peripheral disease, greater total lung involvement, linear opacities, the “crazy-paving” pattern, and the “reverse halo” sign. In this study, we evaluated the CT findings of 105 patients with COVID-19 pneumonia confirmed by reverse-transcription polymerase chain reaction. The patients underwent a mean of 3.8 ± 1.5 (range: 2–9) chest CT examinations. At present, the course of COVID-19 pneumonia and when patients should be re-examined remain inconclusive. As mentioned above, different studies have staged the disease according to different time periods. We grouped the patients’ CT scans at different time intervals. The time interval grouping was based on current clinical experience and is consistent with the imaging interval described in the pneumonia diagnosis and treatment guidelines.[10] This grouping is also partially similar to that described by Pan et al.[16] and Zhou et al.[17] Multiple lobe involvement was observed in most patients in all stages, and lower lobe lesions were significantly more common than upper and middle lobe lesions; this is also consistent with the findings reported by Pan et al.[16] and Liang et al.[20] As mentioned above, most studies have suggested that patients with COVID-19 pneumonia undergo a typical transition from the early stage to the advanced stage and then from the advanced stage to the dissipating stage; however, the time to reach the peak of the disease course varies among different studies, and the patients in our study showed a similar tendency. GGOs and consolidation were the common chest CT manifestations; the proportion of GGOs in each stage was similar, while consolidation and the total CT score first increased and then decreased over time. The total CT score was significantly higher in Stage B than in Stage A, while the total CT score was significantly higher in Stage C than in Stage B. These findings suggest that the lung lesions of most patients significantly improved after 14 days and that most patients with new coronavirus pneumonia had a disease course of more than 14 days. This study had three main limitations. First, we did not consider the effects of factors such as age, sex, medical history (including hypertension, hyperlipidemia, hyperglycemia, and malignant tumors), and lifestyle habits (including smoking and drinking history) on patient outcomes. Second, although 105 patients with novel coronavirus pneumonia were included in this study, the number of patients in Stages B to E was limited. Future studies should include more patients and extend the observation time to ensure that the study results are more representative. Third, some studies have suggested that factors such as age, the C-reactive protein concentration, and the interleukin 6β concentration may be related to patient outcomes. However, we did not perform a correlation analysis between the laboratory data and patient outcomes. In conclusion, we followed up and evaluated 393 chest CT scans of 105 patients with confirmed COVID-19 pneumonia and found that most patients had a disease course of more than 14 days and that the lung lesions of most patients improved significantly after 14 days. The purpose of this study is to help clinicians better understand the disease course and properly perform chest CT re-examinations for patients with COVID-19 pneumonia to minimize the radiation dose.
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2.  Pulmonary sequelae in convalescent patients after severe acute respiratory syndrome: evaluation with thin-section CT.

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4.  [Chest CT findings and their dynamic changes in patients with COVID-19].

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Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2020-03-30

5.  Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection.

Authors:  Adam Bernheim; Xueyan Mei; Mingqian Huang; Yang Yang; Zahi A Fayad; Ning Zhang; Kaiyue Diao; Bin Lin; Xiqi Zhu; Kunwei Li; Shaolin Li; Hong Shan; Adam Jacobi; Michael Chung
Journal:  Radiology       Date:  2020-02-20       Impact factor: 11.105

6.  Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia.

Authors:  Qun Li; Xuhua Guan; Peng Wu; Xiaoye Wang; Lei Zhou; Yeqing Tong; Ruiqi Ren; Kathy S M Leung; Eric H Y Lau; Jessica Y Wong; Xuesen Xing; Nijuan Xiang; Yang Wu; Chao Li; Qi Chen; Dan Li; Tian Liu; Jing Zhao; Man Liu; Wenxiao Tu; Chuding Chen; Lianmei Jin; Rui Yang; Qi Wang; Suhua Zhou; Rui Wang; Hui Liu; Yinbo Luo; Yuan Liu; Ge Shao; Huan Li; Zhongfa Tao; Yang Yang; Zhiqiang Deng; Boxi Liu; Zhitao Ma; Yanping Zhang; Guoqing Shi; Tommy T Y Lam; Joseph T Wu; George F Gao; Benjamin J Cowling; Bo Yang; Gabriel M Leung; Zijian Feng
Journal:  N Engl J Med       Date:  2020-01-29       Impact factor: 176.079

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Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

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Authors:  Pinggui Lei; Bing Fan; Jujiang Mao; Jiangping Wei; Pingxian Wang
Journal:  J Infect       Date:  2020-03-20       Impact factor: 6.072

9.  Evolution of CT findings in patients with mild COVID-19 pneumonia.

Authors:  Ting Liang; Zhe Liu; Carol C Wu; Chao Jin; Huifang Zhao; Yan Wang; Zekun Wang; Fen Li; Jie Zhou; Shubo Cai; Yukun Liang; Heping Zhou; Xibin Wang; Zhuanqin Ren; Jian Yang
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Review 10.  Emerging coronaviruses: Genome structure, replication, and pathogenesis.

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Journal:  J Med Virol       Date:  2020-02-07       Impact factor: 2.327

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