Skip to main content
Elsevier - PMC COVID-19 Collection logoLink to Elsevier - PMC COVID-19 Collection
letter
. 2021 Jun 12;44(9):1189–1192. doi: 10.1016/j.asjsur.2021.05.052

Application of multislice spiral computed tomography in the follow-up of patients with various clinical types of COVID-19

Yi-bo Lu 1,1, Li-yong Zhuo 2,1, Xiao-ping Yin 2,, Li Li 3
PMCID: PMC8196303  PMID: 34158204

To the editor,

In order to provide a better understanding of dynamic outcome characteristics of COVID-19, the data of 95 patients with pathologically confirmed COVID-19 in the People's Hospital of Baoding, the Fourth People's Hospital of Nanning, and the Beijing You'an Hospital of Capital Medical University between January 20, 2020 to February 20, 2020, were retrospectively reviewed. All patients received MSCT scans during their hospitalization with intervals of seven days, and underwent a re-examination as their final follow-up visit on the 14th to 30th day after discharge. Chest CT scans were performed on all patients. Patients with COVID-19 have been categorized as mild (8 patients), moderate (63 patients), severe/critical (24 patients) according to their radiographic and clinical features.1 The focus of the assessment was on the radiographic findings in the moderate group and the severe/critical group during the peak stage (the most severe disease in the lungs), early outcome stage (first improvement of the lesion), advanced outcome stage (7–14 days after the peak stage), and recovery stage (14–30 days after discharge). The location and range of lesions, lesion characteristics and pleural conditions, and dynamic lesion changes were all observed.

The patients of mild group weren't included in subsequent imaging evaluation because of negative chest MSCT results. Laboratory examinations revealed more patients of severe/critical group had decreased lymphocyte counts (P < 0.001) and increased C-reactive proteins (P = 0.019). MSCT findings showed patients of severe/critical group had more lesion-involved pulmonary lobes than those of moderate group. In the recovery stage, there were more patients of severe/critical group with thickened lobular septa (37.50%) and thickened pleurae (29.17%) than in the moderate group (5.08% and 6.78%, respectively, P = 0.043), and fewer patients of severe/critical group had thickened vascular bundles (12.50%) than in the moderate group (5.08%, Table 1 ). 47 patients of moderate group had MSCT results suggesting that the lesions continued to absorb, while 20 patients of severe/critical group had this. Lesions in the two groups at the peak stage were mainly combinations of GGO and consolidation, but as the lesions improved, GGO could be observed as a demonstration of consolidation absorption in the recovery stage. In the recovery stage, there were more patients of severe/critical group (91.67%) with reduced lesion size than in the moderate group (40.68%, P = 0.002, Fig. 1 A). In the recovery stage, lesions were completely absorbed in 16 patients of moderate group (Fig. 1B), and newly developed fibrotic changes were found in 9 patients of moderate group.

Table 1.

Analysis of Radiographic Characteristics and Dynamic Radiographic Transition Characteristics of Different Clinical Types at different stages [n (%)].


Radiographic Characteristics
Dynamic Radiographic Transition Characteristics
CT Characteristics Moderate (n = 47) Severe & Critical (n = 20) χ2 P K Moderate (n = 47) Severe & critical (n = 17) χ2 P K
Peak Stage
Dominant distribution in pulmonary lobes
Periphery 23 (48.94) 1 (5.00) 11.781 0.001 0.95 26 (55.32) 2 (11.76) 9.623 0.002 0.76
Center 1 (2.13) 0 0.432 1.000 1 1 (2.13) 0 0.367 1.000 0.75
Periphery & center 23 (48.94) 19 (95.00) 12.727 <0.001 0.87 17 (36.17) 15 (88.24) 13.537 <0.001 0.79
Density and internal characteristics
GGO 11 (23.40) 3 (15.00) 0.600 0.528 0.89 18 (38.30) 8 (47.06) 0.190 0.663 0.79
Consolidation 0 0 1 0 0 1
Mixture of ground glass and consolidation 36 (76.60) 17 (85.00) 0.600 0.528 0.89 25 (53.19) 9 (52.94) 0.075 0.785 0.69
Thickened interlobular septa 36 (76.60) 9 (45.00) 6.351 0.012 0.90 15 (31.91) 5 (29.41) 0.122 0.727 0.79
Thickened lobular septa 12 (25.53) 13 (65.00) 9.343 0.002 0.81 7 (14.89) 8 (47.06) 6.416 0.019 0.83
Thickened pleurae 12 (25.53) 11 (55.00) 5.404 0.020 0.85 11 (23.40) 9 (52.94) 4.344 0.037 0.83
Thoracic effusion 2 (4.26) 5 (25.00) 6.453 0.021 0.95 2 (4.26) 0 0.799 1.000 1
Air bronchogram 22 (46.81) 6 (30.00) 1.629 0.202 0.82 5 (10.64) 3 (17.65) 0.425 0.674 0.66
Thickened vascular bundles 34 (72.34) 6 (30.00) 10.454 0.001 0.88 18 (38.30) 2 (11.76) 4.726 0.030 0.67
Lesion outcome
Range narrowing 34 (72.34) 15 (88.24) 0.933 0.481 0.77
Quantity decrease 22 (46.81) 13 (76.47) 3.513 0.061 0.67
Density reduction 39 (82.98) 17 (100.00) 2.104 0.309 0.87
Fibrotic change 17 (36.17) 15 (88.24) 12.096 0.001 0.85
Bronchial cystic dilation 0 0 1
Completely absorbed 3 (6.38) 0 1.219 0.553 1
Early Stage of Outcome
Dominant distribution in pulmonary lobes
Periphery 22 (46.81) 1 (5.00) 10.878 0.001 0.88 27 (45.76) 6 (25.00) 3.071 0.080 1
Center 1 (2.13) 0 0.432 1.000 1 0 0 1
Periphery & center 23 (48.94) 19 (95.00) 12.727 <0.001 0.78 16 (27.12) 17 (70.83) 13.612 <0.001 0.98
Density and internal characteristics
GGO 8 (17.02) 4 (20.00) 0.064 1.000 0.85 36 (61.02) 16 (66.67) 1.981 0.159 0.96
Consolidation 0 0 1 0 0
Mixture of ground glass and consolidation 39 (82.98) 16 (80.00) 0.230 0.723 0.81 5 (8.47) 7 (29.17) 3.387 0.066 0.97
Thickened interlobular septa 31 (65.96) 10 (50.00) 1.792 0.181 0.83 4 (6.78) 6 (25.00) 3.134 0.148 0.95
Thickened lobular septa 11 (23.40) 13 (65.00) 10.169 0.001 0.84 3 (5.08) 9 (37.50) 10.059 0.003 0.85
Thickened pleurae 11 (23.40) 12 (60.00) 7.995 0.005 0.87 4 (6.78) 7 (29.17) 4.616 0.043 0.93
Thoracic effusion 2 (4.26) 5 (25.00) 6.271 0.023 0.90 0 2 (8.33) 3.778 0.121 1
Air bronchogram 12 (25.53) 4 (20.00) 0.281 0.758 0.84 2 (3.39) 1 (4.17) 0.005 1.000 1
Thickened vascular bundles 28 (59.57) 3 (15.00) 11.775 0.001 0.66 3 (5.08) 3 (12.50) 0.623 0.658 1
Lesion outcome
Reduced lesion size 36 (76.60) 18 (90.00) 1.291 0.319 0.77 24 (40.68) 22 (91.67) 9.778 0.002 0.85
Quantity decrease 7 (14.89) 13 (65.00) 16.357 <0.001 0.76 27 (45.76) 19 (79.17) 2.249 0.134 0.93
Density reduction 32 (65.09) 18 (90.00) 3.169 0.118 0.78 38 (64.41) 22 (91.67) 0.421 0.703 0.95
Fibrotic change 8 (17.02) 17 (85.00) 27.078 <0.001 0.73 9 (15.25) 19 (79.17) 22.101 <0.001 0.93
Bronchial cystic dilation 0 0 1 1 (1.69) 1 (4.17) 0.195 1.000 0.96
Completely absorbed 1 (2.13) 0 0.441 1.000 1 16 (27.12) 1 (4.17) 8.586 0.003 0.97

Fig. 1.

Fig. 1

A: Dynamic lesion outcome characteristics at different stages; B: moderate novel coronavirus pneumonia in a 46-year-old man who had completely absorbed the lesions (A, Peak Stage, B, Early Stage of Outcome, C, Advanced Stage of Outcome, D, Recovery Stage). Severe novel coronavirus pneumonia in a 50-year-old woman whose lesions had newly developed fibrosis (E, Peak Stage, F, Early Stage of Outcome, G, Advanced Stage of Outcome, H, Recovery Stage).

The present study suggests that MSCT is suitable for the follow-up examinations of patients with COVID-19. More severe peak-stage radiographic findings were identified in patients with severe/critical cases of COVID-19 than in those with moderate cases.2 , 3 Furthermore, in severe/critical patients, their lesions tended to absorb from the center to the periphery of the lungs more slowly and less completely; these patients also developed fibrotic changes more often and needed longer follow-up times.

Funding

This work was supported by the Key R&D Program of Hebei (No.20277716D).

Declaration of competing interest

None.

Acknowledgements

None.

Footnotes

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.asjsur.2021.05.052.

Appendix A. Supplementary data

The following is the Supplementary data to this article:

Multimedia component 1
mmc1.docx (66.1KB, docx)

References

  • 1.Jin Y.H., Zhan Q.Y., Peng Z.Y. Chemoprophylaxis, diagnosis, treatments, and discharge management of COVID-19: an evidence-based clinical practice guideline (updated version) Mil Med Res. 2020;7(1):41. doi: 10.1186/s40779-020-00270-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Xu Z., Shi L., Wang Y. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. The Lancet. Respiratory medicine. 2020;8(4):420–422. doi: 10.1016/S2213-2600(20)30076-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Liu K.C., Xu P., Lv W.F. CT manifestations of coronavirus disease-2019: a retrospective analysis of 73 cases by disease severity. Eur J Radiol. 2020;126 doi: 10.1016/j.ejrad.2020.108941. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Multimedia component 1
mmc1.docx (66.1KB, docx)

Articles from Asian Journal of Surgery are provided here courtesy of Elsevier

RESOURCES