Literature DB >> 32191587

Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study.

Yuhui Wang1, Chengjun Dong1, Yue Hu1, Chungao Li1, Qianqian Ren1, Xin Zhang1, Heshui Shi1, Min Zhou1.   

Abstract

Background CT may play a central role in the diagnosis and management of coronavirus disease 2019 (COVID-19) pneumonia. Purpose To perform a longitudinal study to analyze the serial CT findings over time in patients with COVID-19 pneumonia. Materials and Methods During January 16 to February 17, 2020, 90 patients (33 men, 57 women; mean age, 45 years) with COVID-19 pneumonia were prospectively enrolled and followed up until being discharged, death, or the end of the study. A total of 366 CT scans were acquired and reviewed by two groups of radiologists for the patterns and distribution of lung abnormalities, total CT scores, and number of zones involved. Those features were analyzed for temporal change. Results CT scores and number of zones involved progressed rapidly, peaked during illness days 6-11 (median CT score, 5; median number of zones involved, five), and were followed by persistence of high levels. The predominant pattern of abnormalities after symptom onset was ground-glass opacity (35 of 78 scans [45%] to 49 of 79 scans [62%] in different periods). The percentage of mixed pattern peaked on illness days 12-17 (30 of 78 scans [38%]) and became the second most predominant pattern thereafter. Pure ground-glass opacity was the most prevalent subtype of ground-glass opacity after symptom onset (20 of 50 scans [40%] to 20 of 28 scans [71%]). The percentage of ground-glass opacity with irregular linear opacity peaked on illness days 6-11 (14 of 50 scans [28%]) and became the second most prevalent subtype thereafter. The distribution of lesions was predominantly bilateral and subpleural. Sixty-six of the 70 patients discharged (94%) had residual disease on final CT scans (median CT score, 4; median number of zones involved, four), with ground-glass opacity (42 of 70 patients [60%]) and pure ground-glass opacity (31 of 42 patients [74%]) the most common pattern and subtype. Conclusion The extent of lung abnormalities at CT peaked during illness days 6-11. The temporal changes of the diverse CT manifestations followed a specific pattern, which might indicate the progression and recovery of the illness. © RSNA, 2020 Online supplemental material is available for this article.

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Year:  2020        PMID: 32191587      PMCID: PMC7233482          DOI: 10.1148/radiol.2020200843

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


Summary

This prospective longitudinal study systematically described the temporal changes of CT findings in COVID-19 pneumonia and summarized the CT findings at the time of hospital discharge. ■ The extent of CT abnormalities progressed rapidly after symptom onset, peaked during illness days 6-11, and followed by persistence of high levels. ■ The predominant pattern of abnormalities after symptom onset was ground-glass opacity; the percentage of mixed pattern peaked during illness days 12-17, and became the second most prevalent pattern thereafter. ■ Sixty-six of the 70 patients (94%) discharged had residual disease on final CT scans, with ground-glass opacity the most common pattern.

Introduction

The outbreak of coronavirus disease 2019 (COVID-19) originated in Wuhan China begins in December 2019 and has been lasting for more than 3 months(1). The disease quickly spreads across China and beyond, and as of March 8, 2020, a total of 105586 confirmed cases including 3584 deaths are reported worldwide(2). CT plays a central role in the diagnosis and management of COVID-19 pneumonia (3). Previous efforts to analyze CT manifestations have continued. Some papers demonstrated the CT findings to be diverse, with the main abnormalities including ground-glass opacity and consolidation(4-6). Pan described the evolution of CT findings in 21 mild COVID-19 pneumonia patients(7). A better understanding of the progression of CT findings in COVID-19 pneumonia may help facilitate accurate diagnosis and disease stage. Thus, we performed a longitudinal study to analyze the serial CT findings in patients with COVID-19 pneumonia for temporal change.

Materials and Methods

This prospective observational study was approved by the Institutional Review Board of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology. Informed consent was waived by the review board due to the observational nature of the study and the epidemic of COVID-19 as an emergency public health event.

Patients

Patients who were admitted to the isolation wards of Union Hospital with suspected COVID-19 pneumonia from January 16, 2020 to February 17, 2020, were screened using the following inclusion and exclusion criteria. The inclusion criteria included: (1) at least 1 positive real-time reverse transcriptase-polymerase chain reaction (rRT-PCR) result for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in oropharyngeal swabs was obtained before or after admission; (2) at least 1 CT scan showed lung abnormalities before or after admission; (3) the electronic records were available. No specific excluding criteria were applied.

Treatment and Discharge Criteria

Treatment and discharge criteria for patients with COVID-19 pneumonia were in line with the Guidelines for the Diagnosis and Treatment of COVID-19 Pneumonia published by the National Health Commission of the People's Republic of China(3). The discharge criteria were specified as: (1) patients being afebrile for at least 72 hours; (2) the respiratory symptoms significantly improving; (3) evidence of improvement on chest CT or radiograph; and (4) 2 consecutive negative SARS-CoV-2 rRT-PCR results at least 24 hours apart. After admission, CT scans were at the discretion of the treating clinicians as appropriate for clinical scenario. We followed up the patients until they were discharged from hospital or died, or until the end of the study (March 8, 2020) if they were still in admission.

CT Protocol

Non-contrast chest CT scan was obtained with the patient in supine position, and scanning was performed at end inspiration. To minimize motion artifacts, patients were instructed on breath-holding. CT exams were done using multi-detector CT: Discovery 750HD (GE Medical Systems, Milwaukee, WI) and TOSHIBA Activion 16 (Toshiba, Tokyo, Japans). The scans were acquired and reconstructed as axial images using the following parameters: 1.25 mm section thickness, 1.25 mm interval, 120 kVp, and adaptive tube current. However, due to the large number of patients presenting for emergency CT scan and quick review, the following parameters were sometimes used on TOSHIBA Activion 16 for a faster transfer of images to PACS: 5 mm section thickness, 5 mm gap, 120 kVp, and adaptive tube current. Patients were assigned to whichever scanner that was available at the time of scan.

CT Image Interpretation

The CT scans before admission for each patient were also acquired for analysis. Five experienced radiologists in 2 groups read the CT images (group one: YHW, CGL, and XZ, with an experience of 11, 12 and 3 years in radiology, respectively; group two: CJD and QQR, with an experience of 5 and 6 years in radiology, respectively). Multiple CT scans for a single patient were reviewed by the same group, and the decision was reached in consensus. The main CT patterns were described in line with the terms defined by the Fleischner Society and peer-reviewed literature on viral pneumonia(8, 9). The CT images were assessed for the presence of ground-glass opacity (hazy areas of increased attenuation without obscuration of the underlying vasculature), consolidation (homogeneous opacification with obscuration of the underlying vasculature), reticular pattern (consisted of either coarse linear or curvilinear opacity or fine subpleural reticulation without substantial ground-glass opacity), mixed pattern (combination of consolidation, ground glass opacity and reticular opacity in the presence of architectural distortion) and honeycomb pattern. Furthermore, ground-glass opacity was subcategorized into: (1) pure ground-glass opacity; (2) ground-glass opacity with smooth interlobular septal thickening; (3) ground-glass opacity with intralobular lines (crazy-paving pattern); and (4) irregular lines and interfaces with architectural distortion superimposed on ground-glass opacity. Examples of those patterns from our patient cohort were shown in Supplemental Figure E1 (Appendix E1). The distribution of abnormalities was also evaluated as predominantly subpleural (involving mainly the peripheral one-third of the lung), central (involving mainly the central two-third of the lung) or diffuse. Additionally, the presence of pleura effusion, pneumothorax, mediastinal emphysema, or mediastinal lymphadenopathy (axil diameter >1.0 cm) were also noted. We quantified the CT images with a method published previously(9). Briefly, each lung was divided into 3 zones: upper (above the carina), middle, and lower (below the inferior pulmonary vein) zones; each zone was evaluated for percentage of lung involvement on a scale of 0-4 (0, 0% involvement; 1, less than 25% involvement; 2, 25% to less than 50% involvement; 3, 50% to less than 75%; 4, 75% or greater involvement). Overall CT scores was the summation of scores from all 6 lung zones. The maximum possible score was 24.

Statistical Analysis

Illness day 0 was defined as the day of initial symptom onset. The median values of total CT score and number of zones involved as a function of time were plotted. The temporal changes of main CT patterns, subtypes of ground-glass opacity, and the distribution of lung abnormalities were also analyzed. Kruskal-Wallis rank sum test was used for the difference between the median values of CT lung quantification in different period, and Chi-square test was applied to compare the frequency of CT patterns in different period. P value of < 0.05 was considered to be statistically significant. Statistical analyses were performed using R software (version 3.5.0, the R Foundation for Statistical Computing, Vienna, Austria).

Results

During January 16 to February 17, 2020, 107 patients were admitted to the isolation wards. Among them, 17 patients did not have a positive SARS-CoV-2 rRT-PCR result, resulting in a total of 90 patients enrolled in the final study. The median follow-up period was 18 days from admission (range: 5-43 days). The median illness duration from symptom onset to hospital discharge or death or the end of the study was 25 (range: 10-56).The demographic characteristics, initial symptoms and clinical outcomes were summarized in Table 1.
Table.

The demographic characteristics, initial symptoms and clinical outcomes of the included patients

The demographic characteristics, initial symptoms and clinical outcomes of the included patients A total of 366 chest CT scans were acquired for the 90 patients. The numbers of CT scans in each day from symptom onset were listed in Supplemental Figure E2. Ten patients had their first CT scans before symptom onset (median days before symptom onset: 5, range 2 - 9 days) after they had close contact with suspected or confirmed COVID-19 patients. Each patient underwent a median of 4 scans (range: 1-7) with a median scan to scan interval of 6 days (range: 2-19 days). Thus, CT scans in every 6 days after symptom onset were categorized as one group for analysis. Of note, there were only 54 scans in total for illness days ≥ 24, and these scans were combined together and analyzed as one group.

Temporal Changes of CT Scores and Number of Zones Involved

Figure 1 showed the temporal changes of CT lung quantification. There were marked increase in the median values of total CT scores and number of zones involved after symptom onset. Both the median values of total CT scores and number of zones involved peaked during illness days 6-11, with the median values of 5 (interquartile range: 2-6, p < 0.05, compared to that of illness days 0-5) and 5 (2-6, p < 0.05), respectively. After that, the high levels persisted until illness days ≥ 24, and no significant changes were observed for both the median values of total CT scores and the number of zones involved (p = 0.31 and 0.76, respectively). The trends of both quantifications were similar to each other.
Figure 1a.

Temporal change of median values of total CT scores and number of zones involved. Both the median values of total CT scores (a) and number of zones involved (b) increased rapidly after symptom onset, peaked during illness days 6-11, and followed by persistence of high levels. The distribution of days when the peak total CT scores were reached was shown in (c). Note that 2 patients died after the first CT scan, resulting in a total of 88 peaking days.

Temporal change of median values of total CT scores and number of zones involved. Both the median values of total CT scores (a) and number of zones involved (b) increased rapidly after symptom onset, peaked during illness days 6-11, and followed by persistence of high levels. The distribution of days when the peak total CT scores were reached was shown in (c). Note that 2 patients died after the first CT scan, resulting in a total of 88 peaking days. Temporal change of median values of total CT scores and number of zones involved. Both the median values of total CT scores (a) and number of zones involved (b) increased rapidly after symptom onset, peaked during illness days 6-11, and followed by persistence of high levels. The distribution of days when the peak total CT scores were reached was shown in (c). Note that 2 patients died after the first CT scan, resulting in a total of 88 peaking days. Temporal change of median values of total CT scores and number of zones involved. Both the median values of total CT scores (a) and number of zones involved (b) increased rapidly after symptom onset, peaked during illness days 6-11, and followed by persistence of high levels. The distribution of days when the peak total CT scores were reached was shown in (c). Note that 2 patients died after the first CT scan, resulting in a total of 88 peaking days. For total CT scores, the peak values were reached on median illness day 10 (interquartile range: 6-13). In 42/88 (48%) patients (2 patients died after the first CT scan), the total CT scores reached the peak values during illness days 6-11 (Figure 1C).
Figure 1c.

Temporal change of median values of total CT scores and number of zones involved. Both the median values of total CT scores (a) and number of zones involved (b) increased rapidly after symptom onset, peaked during illness days 6-11, and followed by persistence of high levels. The distribution of days when the peak total CT scores were reached was shown in (c). Note that 2 patients died after the first CT scan, resulting in a total of 88 peaking days.

Temporal Changes of Main CT Patterns

Six of the 10 patients who had the first CT scans before symptom onset had normal CT scans. The other 4 patients had either ground-glass opacity (2 of 4 patients) or consolidation (2 of 4 patients). The period from the date of abnormal CT to that of the symptom onset ranged from 2 to 6 days. The predominant pattern of abnormality after symptom onset was ground-glass opacity, with the percentage varying between 35/78 (45%) on illness days 12-17 to 49/79 (62%) on illness days 0-5 (Figure 2a). Consolidation was the second most prevalent finding during illness days 0-5 and 6-11, with the percentage of 18/79 (23%) and 20/85 (24%). Of note, 11/79 (14%) of CT scans during illness days 0-5, and 1/85 (1%) of CT scans during illness days 6-11 were normal, leading to an approximate sensitivity of utilizing CT for SARS-CoV-2 infection to be 53/63 patients (84%, 95% confidence interval: 73%-92%) and 74/75 patients (99%, 93%-100%) for each period.
Figure 2a.

Temporal change of the main CT patterns and the subtypes of ground-glass opacity. Stacked-bar graphs showed the distribution of the main patterns of lung abnormalities (a) and the subtypes of ground-glass opacity (b) on CT scans at various time points from symptom onset. Categories with percentage ≥ 20% are shown. GGO = ground-glass opacity

Temporal change of the main CT patterns and the subtypes of ground-glass opacity. Stacked-bar graphs showed the distribution of the main patterns of lung abnormalities (a) and the subtypes of ground-glass opacity (b) on CT scans at various time points from symptom onset. Categories with percentage ≥ 20% are shown. GGO = ground-glass opacity Temporal change of the main CT patterns and the subtypes of ground-glass opacity. Stacked-bar graphs showed the distribution of the main patterns of lung abnormalities (a) and the subtypes of ground-glass opacity (b) on CT scans at various time points from symptom onset. Categories with percentage ≥ 20% are shown. GGO = ground-glass opacity The percentage of ground-glass opacity dropped significantly from 49/79 (62%) on illness days 0-5 to 35/78 (45%) on illness days 12-17 (p = 0.046), with a large increase in the percentage of mixed pattern from 1/79 (1%) to 30/78 (38%). The mixed pattern became the second most predominant pattern thereafter, with the percentage ranging from 12/54 (22%) on illness days ≥ 24 to 30/78 (38%) on illness days 12-17. The reticular pattern was rarely seen, and only present on illness days 18-23 and ≥ 24 with the percentage of 2/60 (3%) and 3/54 (6%), respectively. Note that the percentage of ground-glass opacity showed gradual increase from 35/78 (45%) on illness days 12-17 to 33/54 (61%) on illness days ≥ 24, although the difference was not statistically significant (p = 0.097). To verify this upsurge in ground-glass opacity, patients with an illness duration ≥ 25 days from symptom onset (the median illness duration) were selected (48 patients with 204 CT scans) and the temporal changes of main CT patters had been shown in Supplemental Figure E3. Note that those patients contributed to 52/54 (96%) CT scans on illness days ≥ 24. A gradual increase from 14/36 (39%) on illness days 12-17 to 31/52 (60%) was also observed for the percentage of ground-glass opacity, although the difference was not statistically significant (p = 0.09).

Temporal Change of Ground-Glass Opacity

Only pure ground-glass opacity could be observed in CT scans before symptom onset (2 in 2 patients). Pure ground-glass opacity was also the most commonly seen sub-type of ground-glass opacity after symptom onset, with the percentage ranging between 20/50 (40%) on illness days 6-11 to 20/28 (71%) on illness days 18-23 (Figure 2b). Ground-glass opacity with superimposed intralobular lines (crazy-paving pattern) were the second most commonly seen sub-type on illness days 0-5 with the percentage of 12/49 (24%). The percentage of irregular lines and interfaces superimposed on ground-glass opacity increased significantly from 4/49 (8%) on illness days 0-5 to 14/50 (28%) on illness days 6-11 (p = 0.02), and became the second most commonly seen pattern of ground-glass opacity thereafter.
Figure 2b.

Temporal change of the main CT patterns and the subtypes of ground-glass opacity. Stacked-bar graphs showed the distribution of the main patterns of lung abnormalities (a) and the subtypes of ground-glass opacity (b) on CT scans at various time points from symptom onset. Categories with percentage ≥ 20% are shown. GGO = ground-glass opacity

Of note, the percentage of pure ground-glass opacity showed a trend of "first falling then rising". The percentage significantly dropped down from 32/49 (65%) on illness days 0-5 to 20/50 (40%) on illness days 6-11 (p = 0.02), with increase in the percentages of the other 3 subtypes. As the percentage significantly increased to 20/28 (71%, p = 0.02, as compared to that of illness days 6-11) on illness days 18-23 and 23/33 (70%, p = 0.02) on illness days ≥ 24, those of the other 3 patterns gradually decreased. Three cases with series CT scans were shown in Figure 3-5.
Figure 3a.

Series CT scans in 35-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 1 showed multiple pure ground-glass opacity (GGO) mainly in right lower lobe. (b) Scan obtained on illness days 5 showed increased extent of GGO and early consolidation. (c) Scan obtained on illness days 11 showed multiple consolidation with almost the same extent. (d) Scan obtained on illness days 15 showed a mixed pattern with a slightly smaller extent, and the perilobular consolidation might suggest the presence of organizing pneumonia. The patient was discharged on illness days 17.

Figure 5a.

Series CT scans in a 38-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 8 showed small consolidation scattered in both lower lobes. (b) Scan obtained on illness days 13 showed consolidation with increased extent. (c) Scan obtained on illness days 19 showed a mixed pattern with bandlike consolidation and parenchymal bands in both lower lobes. The perilobular bands of consolidation suggested the possible presence of organizing pneumonia. (d) Scan obtained on illness day 25 showed pure ground-glass opacities with almost the same extent. The patient was discharged on illness days 30.

Series CT scans in 35-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 1 showed multiple pure ground-glass opacity (GGO) mainly in right lower lobe. (b) Scan obtained on illness days 5 showed increased extent of GGO and early consolidation. (c) Scan obtained on illness days 11 showed multiple consolidation with almost the same extent. (d) Scan obtained on illness days 15 showed a mixed pattern with a slightly smaller extent, and the perilobular consolidation might suggest the presence of organizing pneumonia. The patient was discharged on illness days 17. Series CT scans in 35-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 1 showed multiple pure ground-glass opacity (GGO) mainly in right lower lobe. (b) Scan obtained on illness days 5 showed increased extent of GGO and early consolidation. (c) Scan obtained on illness days 11 showed multiple consolidation with almost the same extent. (d) Scan obtained on illness days 15 showed a mixed pattern with a slightly smaller extent, and the perilobular consolidation might suggest the presence of organizing pneumonia. The patient was discharged on illness days 17. Series CT scans in 35-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 1 showed multiple pure ground-glass opacity (GGO) mainly in right lower lobe. (b) Scan obtained on illness days 5 showed increased extent of GGO and early consolidation. (c) Scan obtained on illness days 11 showed multiple consolidation with almost the same extent. (d) Scan obtained on illness days 15 showed a mixed pattern with a slightly smaller extent, and the perilobular consolidation might suggest the presence of organizing pneumonia. The patient was discharged on illness days 17. Series CT scans in 35-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 1 showed multiple pure ground-glass opacity (GGO) mainly in right lower lobe. (b) Scan obtained on illness days 5 showed increased extent of GGO and early consolidation. (c) Scan obtained on illness days 11 showed multiple consolidation with almost the same extent. (d) Scan obtained on illness days 15 showed a mixed pattern with a slightly smaller extent, and the perilobular consolidation might suggest the presence of organizing pneumonia. The patient was discharged on illness days 17. Series CT scans in a 41-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 3 showed ground-glass opacity with intralobular septal thickening (crazy-paving pattern) that affected right lower lobe. (b) Scan obtained on illness days 7 showed intralobular septal thickening superimposed on ground glass opacity with increased extent. Note that patchy ground-glass opacity newly developed in left lower lobe. (c) Scan obtained on illness days 12 showed absorption of abnormalities, with pure ground-glass opacity left in both lower lobes. (d) Scan obtained on illness days 17 showed obvious absorption of abnormalities. Only small pure ground-glass opacity could be observed in both lower lobes. The patient was discharged on illness days 20. Series CT scans in a 41-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 3 showed ground-glass opacity with intralobular septal thickening (crazy-paving pattern) that affected right lower lobe. (b) Scan obtained on illness days 7 showed intralobular septal thickening superimposed on ground glass opacity with increased extent. Note that patchy ground-glass opacity newly developed in left lower lobe. (c) Scan obtained on illness days 12 showed absorption of abnormalities, with pure ground-glass opacity left in both lower lobes. (d) Scan obtained on illness days 17 showed obvious absorption of abnormalities. Only small pure ground-glass opacity could be observed in both lower lobes. The patient was discharged on illness days 20. Series CT scans in a 41-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 3 showed ground-glass opacity with intralobular septal thickening (crazy-paving pattern) that affected right lower lobe. (b) Scan obtained on illness days 7 showed intralobular septal thickening superimposed on ground glass opacity with increased extent. Note that patchy ground-glass opacity newly developed in left lower lobe. (c) Scan obtained on illness days 12 showed absorption of abnormalities, with pure ground-glass opacity left in both lower lobes. (d) Scan obtained on illness days 17 showed obvious absorption of abnormalities. Only small pure ground-glass opacity could be observed in both lower lobes. The patient was discharged on illness days 20. Series CT scans in a 41-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 3 showed ground-glass opacity with intralobular septal thickening (crazy-paving pattern) that affected right lower lobe. (b) Scan obtained on illness days 7 showed intralobular septal thickening superimposed on ground glass opacity with increased extent. Note that patchy ground-glass opacity newly developed in left lower lobe. (c) Scan obtained on illness days 12 showed absorption of abnormalities, with pure ground-glass opacity left in both lower lobes. (d) Scan obtained on illness days 17 showed obvious absorption of abnormalities. Only small pure ground-glass opacity could be observed in both lower lobes. The patient was discharged on illness days 20. Series CT scans in a 38-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 8 showed small consolidation scattered in both lower lobes. (b) Scan obtained on illness days 13 showed consolidation with increased extent. (c) Scan obtained on illness days 19 showed a mixed pattern with bandlike consolidation and parenchymal bands in both lower lobes. The perilobular bands of consolidation suggested the possible presence of organizing pneumonia. (d) Scan obtained on illness day 25 showed pure ground-glass opacities with almost the same extent. The patient was discharged on illness days 30. Series CT scans in a 38-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 8 showed small consolidation scattered in both lower lobes. (b) Scan obtained on illness days 13 showed consolidation with increased extent. (c) Scan obtained on illness days 19 showed a mixed pattern with bandlike consolidation and parenchymal bands in both lower lobes. The perilobular bands of consolidation suggested the possible presence of organizing pneumonia. (d) Scan obtained on illness day 25 showed pure ground-glass opacities with almost the same extent. The patient was discharged on illness days 30. Series CT scans in a 38-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 8 showed small consolidation scattered in both lower lobes. (b) Scan obtained on illness days 13 showed consolidation with increased extent. (c) Scan obtained on illness days 19 showed a mixed pattern with bandlike consolidation and parenchymal bands in both lower lobes. The perilobular bands of consolidation suggested the possible presence of organizing pneumonia. (d) Scan obtained on illness day 25 showed pure ground-glass opacities with almost the same extent. The patient was discharged on illness days 30. Series CT scans in a 38-year-old woman with COVID-19 pneumonia. (a) Scan obtained on illness days 8 showed small consolidation scattered in both lower lobes. (b) Scan obtained on illness days 13 showed consolidation with increased extent. (c) Scan obtained on illness days 19 showed a mixed pattern with bandlike consolidation and parenchymal bands in both lower lobes. The perilobular bands of consolidation suggested the possible presence of organizing pneumonia. (d) Scan obtained on illness day 25 showed pure ground-glass opacities with almost the same extent. The patient was discharged on illness days 30.

Temporal Changes of the Distribution of CT Abnormalities

Fifteen of the 90 patients (17%) had lung lesions that were confined to a single lung throughout the course of the disease. Among them, 14 patients (93%) were discharged from hospital, and 4 (27%) had complete resolution of all abnormalities in the final CT scans at the end of the study. For the remaining 75 patients (303 CT scans), bilateral lesions were present in 257/303 (85%) of all CT scans. The temporal changes had been depicted in Supplemental Figure E4a. We can see that the unilateral involvement appeared only in the early and very last stage of the disease (illness days < 0, 0-5, 6-11, and ≥ 24), and the proportions gradually decreased with time after symptom onset from 18/66 (27%) on illness days 0-5 to 6/71 (12%) on illness days 6-11. All the lesions were bilateral on illness days 12-17 till 18-23. In the 4 patients who had lung lesions before symptom onset, three had subpleural lesions (75%) and 1 had central lesions. The lung abnormalities were predominantly subpleural after symptom onset, with the percentage ranging from 36/54 (67%) on illness days ≥ 24 to 44/60 (73%) on illness days 18-23 (Supplemental Figure E4b). The percentage of diffuse pattern increased largely from 10/79 (13%) on illness days 0-5 to 25/85 (29%) on illness days 6-11, and remain relatively stable thereafter. The central distribution pattern was rarely seen after symptom onset, and only present on illness days 0-5, 6-11 and 12-17 with the percentages of 2/79 (3%), 1/85 (1%) and 1/78 (1%), respectively.

Other CT Findings

Six of 90 patients (7%) had mild bilateral pleural effusion. In 3 of them, pleural effusion was present during the entire course of the disease. Pleural effusion developed on illness days 11, 21, and 24 in the other 3 patients, and lasted till the last CT scans. No pneumothorax, mediastinal emphysema, or mediastinal lymphadenopathy were observed on CT images.

CT Findings at the Time of Hospital Discharge

Seventy patients were discharged from hospital at the end of study. The median hospital stay was 16 days (range: 5-37 days), and the median illness days from symptom onset to discharge was 24 days (range: 10-44 days). The final CT scans were obtained at a median of 2 days (range: 0-8 days) before discharging. In 4 of the 70 patients, the last CT scans showed complete resolution of lung abnormalities. All the other 66 patients had residual disease on the last CT scans. The median values of CT scores and number of zones involved for all discharged patients were 4 (interquartile range: 2-6) and 4 (2-6), respectively. The distribution of the CT patterns was shown in Figure 6. Ground-glass opacity was the predominant abnormalities 42/70 (60%, 95% confidence interval: 48%-72%) found on the last CT scans, followed by a mixed pattern 17/70 (24%, 15%-36%). Pure ground-glass opacity was the most commonly seen subtype, with the percentage of 31/42 (74%, 58%-86%). Ground-glass opacity with irregular lines and interfaces was noted in 8/42 (19%, 9%-34%) of all ground-glass opacity.
Figure 6.

The distribution of CT patterns of the final CT scans at the time of hospital discharge in 70 patients. GGO = ground-glass opacity.

The distribution of CT patterns of the final CT scans at the time of hospital discharge in 70 patients. GGO = ground-glass opacity.

Discussion

In this study, we systematically depicted the longitudinal changes of CT findings in COVID-19 pneumonia. Our results suggested that the lung abnormalities increased quickly after the onset of symptoms, peaked around 6-11 days, and followed by persistence of high levels in extent for a long duration. Also, the diverse CT manifestations progressed in a specific pattern over time. The CT findings of COVID-19 pneumonia reflected a typical lung injury of viral pneumonia, which characterized by a rapid change as seen in SARS and MERS(9-11). In our patient cohort, the peak levels of lung involvement were reached around 6-11 days from symptom onset, which was consistent with that of 10 days reported by Pan, and the time range of within the 2nd week as documented in SARS(7, 9). After that, persistence of high levels for both total CT scores and the zones involved were observed, indicating a slower absorption of COVID-19 pneumonia. It was similar to that reported in SARS(9). However, Pan showed a relatively faster decrease in CT scores after the peak, which might be because only patients with mild COVID-19 pneumonia were included(7). The most common CT finding during the course of COVID-19 pneumonia in our patient cohort was ground-glass opacity alone. Consolidation was the second most seen feature in the first 11 days. When combining together, ground-glass opacity and consolidation constituted about 83% to 85% of all CT findings in total in the early stage of the disease. This was consisted with prior reports(5). The CT manifestations became more diverse during illness days 6-11 and later on. A mixed pattern with architectural distortion, mainly evolving from ground-glass opacity, became the second most predominant pattern since illness days 12-17. Of note, at least part of the mixed pattern characterized by perilobular abnormalities might suggest the presence of secondary organizing pneumonia, which needed to be confirmed with lung biopsy or bronchoalveolar lavage(12). Secondary organizing pneumonia resulting from viral pneumonia had been documented in SARS-CoV, MERS-CoV and influenza infections(13-15). Given that organizing pneumonia had the potential to progress to fibrosis and corticosteroid therapy was effective in the treatment, follow up CT scans might be needed to early identify suspected patients, especially those with typical CT manifestations (16, 17). Increase in Ground-glass opacity had been observed in late stages. The upsurge had also been shown in relatively severe patients with longer illness duration, although was not statistically significant. It might be due to the small sample size, and thus needed to be validated in a larger sample size. However, the upsurge in ground-glass opacity in late stages had also been seen in SARS(9). It might suggest that ground-glass opacity was the last stage of the illness and the change of patterns to ground-glass opacity in late stage showed absorption or recovery of the illness. For ground-glass opacity, pure ground-glass opacity was the most common subtype during the course of illness. Ground-glass opacity with superimposed irregular lines and interfaces was more commonly seen since illness days 6-11. This pattern could be mainly evolved from pure ground-glass opacity, and the linear opacity might be due to subsegmental atelectasis or secondary organizing pneumonia. The percentage of pure ground-glass opacity gradually and significantly increased from illness days 6-11, which could be accounted for by a decrease in the other 3 subtypes. This pattern change probably represent the gradual resolution of inflammation with reexpansion of alveoli, and thus indicate the absorption or recovery of illness. Of note, two approximate sensitivities of 84% (95% confidence interval: 73%-92%) and 99% (93%-100%) were estimated for illness days 0-5 and 6-11, respectively. Those results indicated that the sensitivity of CT for SARS-CoV-2 infection increased over time after symptom onset, which was similar to prior reports(18). Several other studies had also reported the sensitivities, with the percentages varying from 44% to 98%(18-21). The difference between those sensitivities might be partly explained by the different duration from symptom onset to inclusion. 94% (66/70) of patients who were discharged from hospital at the end of the study still had mild to substantial residual lung abnormalities on their last CT scans. The main pattern of those lung abnormalities was ground-glass opacity. A most recent publication reported 4 discharged cases who had positive SARS-CoV-2 RT-PCR results again 5-13 days after discharging(22). Thus, follow-up monitoring of patients might still be necessary. Of note, the data on illness days ≥ 24 was not always consistent with the trend as observed before illness days 24. A reasonable explanation was that the CT scans on illness days ≥ 24 were mainly from those patients with a longer illness duration, probably related to more severe illness. There are several limitations in our study. First, subgroup analysis of mild and severe patients was not performed. Subgroup analysis would also be of great benefit in determining potential prognostic factors. Second, larger sample size and longer follow-up were needed to better depict the development of the illness. In conclusion, the most commonly seen CT manifestations in COVID-19 pneumonia were bilateral ground-glass opacity with subpleural distribution and absence of pleural effusion. The extent of CT abnormalities progressed rapidly after the onset of symptoms, peaked around 6-11 days, and followed by persistence of high levels in lung abnormalities. The temporal changes of the diverse CT manifestations followed a specific pattern, which might indicate the progression and recovery of the illness.
  20 in total

1.  Idiopathic interstitial pneumonias: diagnostic accuracy of thin-section CT in 129 patients.

Authors:  T Johkoh; N L Müller; Y Cartier; P V Kavanagh; T E Hartman; M Akira; K Ichikado; M Ando; H Nakamura
Journal:  Radiology       Date:  1999-05       Impact factor: 11.105

2.  Radiographic-clinical correlation in severe acute respiratory syndrome: study of 1373 patients in Hong Kong.

Authors:  Gregory E Antonio; Clara G C Ooi; Ka Tak Wong; Eva L H Tsui; Joyce S W Wong; Alan N L Sy; Joyce Y H Hui; Cho Yin Chan; Henry Y H Huang; Yip Fai Chan; Tai Pang Wong; Lilian L Y Leong; Jane C K Chan; Anil T Ahuja
Journal:  Radiology       Date:  2005-12       Impact factor: 11.105

3.  CT correlation with outcomes in 15 patients with acute Middle East respiratory syndrome coronavirus.

Authors:  Karuna M Das; Edward Y Lee; Mushira A Enani; Suhaila E AlJawder; Rajvir Singh; Salman Bashir; Nizar Al-Nakshbandi; Khalid AlDossari; Sven G Larsson
Journal:  AJR Am J Roentgenol       Date:  2015-01-23       Impact factor: 3.959

4.  Organizing pneumonia: perilobular pattern at thin-section CT.

Authors:  Masuo Ujita; Elisabetta A Renzoni; Srihari Veeraraghavan; Athol U Wells; David M Hansell
Journal:  Radiology       Date:  2004-06-30       Impact factor: 11.105

5.  Severe acute respiratory syndrome: temporal lung changes at thin-section CT in 30 patients.

Authors:  Gaik C Ooi; Pek L Khong; Nestor L Müller; Wai C Yiu; Lin J Zhou; James C M Ho; Bing Lam; Savvas Nicolaou; Kenneth W T Tsang
Journal:  Radiology       Date:  2004-03       Impact factor: 11.105

6.  [Pathological changes of lungs in patients with severity acute respiratory syndrome].

Authors:  Ri-quan Lai; Xiao-dong Feng; Ying-ying Gu; Huang-wen Lai; Fang Liu; Ye Tian; Zhou-cai Wang; Wei Zhang; Guo-qin Chen; Chuan-hong Yang; Tong Yang
Journal:  Zhonghua Bing Li Xue Za Zhi       Date:  2004-08

7.  Chest CT Findings in 2019 Novel Coronavirus (2019-nCoV) Infections from Wuhan, China: Key Points for the Radiologist.

Authors:  Jeffrey P Kanne
Journal:  Radiology       Date:  2020-02-04       Impact factor: 11.105

8.  Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.

Authors:  Tao Ai; Zhenlu Yang; Hongyan Hou; Chenao Zhan; Chong Chen; Wenzhi Lv; Qian Tao; Ziyong Sun; Liming Xia
Journal:  Radiology       Date:  2020-02-26       Impact factor: 11.105

9.  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

10.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

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  314 in total

1.  Pulmonary Function in Early Follow-up of patients with COVID-19 Pneumonia.

Authors:  Eva Tabernero Huguet; Amaya Urrutia Gajarte; Luis Alberto Ruiz Iturriaga; Leyre Serrano Fernandez; Nuria Marina Malanda; Milagros Iriberri Pascual; Rafael Zalacain Jorge
Journal:  Arch Bronconeumol       Date:  2020-08-01       Impact factor: 4.872

2.  Variable computed tomography appearances of COVID-19.

Authors:  Zhan Ye Lim; Hau Wei Khoo; Terrence Chi Hong Hui; Shawn Shi Xian Kok; Kenneth Eng Ling Kwan; Barnaby Edward Young; Cher Heng Tan; Gregory Jon Leng Kaw
Journal:  Singapore Med J       Date:  2020-04-21       Impact factor: 1.858

3.  A new imaging sign in COVID-19 pneumonia: vascular changes and their correlation with clinical severity of the disease.

Authors:  Deniz Esin Tekcan Şanlı; Düzgün Yıldırım
Journal:  Diagn Interv Radiol       Date:  2021-03       Impact factor: 2.630

Review 4.  A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019.

Authors:  Rintaro Ito; Shingo Iwano; Shinji Naganawa
Journal:  Diagn Interv Radiol       Date:  2020-09       Impact factor: 2.630

Review 5.  Multisystem Imaging Manifestations of COVID-19, Part 1: Viral Pathogenesis and Pulmonary and Vascular System Complications.

Authors:  Margarita V Revzin; Sarah Raza; Robin Warshawsky; Catherine D'Agostino; Neil C Srivastava; Anna S Bader; Ajay Malhotra; Ritesh D Patel; Kan Chen; Christopher Kyriakakos; John S Pellerito
Journal:  Radiographics       Date:  2020-10       Impact factor: 5.333

Review 6.  A systematic review of chest imaging findings in COVID-19.

Authors:  Zhonghua Sun; Nan Zhang; Yu Li; Xunhua Xu
Journal:  Quant Imaging Med Surg       Date:  2020-05

Review 7.  The novel coronavirus pneumonia (COVID-19): a pictorial review of chest CT features.

Authors:  Selen Bayraktaroğlu; Akın Çinkooğlu; Naim Ceylan; Recep Savaş
Journal:  Diagn Interv Radiol       Date:  2021-03       Impact factor: 2.630

8.  Clinical Manifestations of COVID-19.

Authors:  Mahsa Eskian; Nima Rezaei
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

9.  Learning from pathophysiological aspects of COVID-19 clinical, laboratory, and high-resolution CT features: a retrospective analysis of 128 cases by disease severity.

Authors:  Sameh Mostafa Azab; Ashraf Anas Zytoon; Zeinab Abdel Aziz Kasemy; Suzan Fouad Omar; Suzy Fayez Ewida; Karim Ayman Sakr; Tarek Fawzy Abd Ella
Journal:  Emerg Radiol       Date:  2021-01-08

10.  Thoracic imaging tests for the diagnosis of COVID-19.

Authors:  Nayaar Islam; Sanam Ebrahimzadeh; Jean-Paul Salameh; Sakib Kazi; Nicholas Fabiano; Lee Treanor; Marissa Absi; Zachary Hallgrimson; Mariska Mg Leeflang; Lotty Hooft; Christian B van der Pol; Ross Prager; Samanjit S Hare; Carole Dennie; René Spijker; Jonathan J Deeks; Jacqueline Dinnes; Kevin Jenniskens; Daniël A Korevaar; Jérémie F Cohen; Ann Van den Bruel; Yemisi Takwoingi; Janneke van de Wijgert; Johanna Aag Damen; Junfeng Wang; Matthew Df McInnes
Journal:  Cochrane Database Syst Rev       Date:  2021-03-16
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