Table 2 Descriptive analysis of chest CT pattern, CT score and classification for COVID-19 of all cancers
From: Role of chest CT scan in patients with preexisting cancer and COVID-19 pneumonia
All cancer (N:266,100%) | Hematologic** (N:70,100%) | Lung (N:14,100%) | Breast (N:28, 100%) | Gastrointestinal (N:78,100%) | |
|---|---|---|---|---|---|
RSNA classification | |||||
Negative | 38 (14.29%) | 13 (18.57%) | 0 | 1 (3.57%) | 11 (14.10%) |
Atypical | 58 (21.80%) | 10 (14.29%) | 5 (35.71%) | 8 (28.57%) | 17 (21.79%) |
Indeterminate | 56 (21.05%) | 14 (20.00%) | 4 (28.57%) | 11 (39.29%) | 17 (21.79%) |
Typical | 114 (42.86%) | 33 (47.14%) | 5 (35.71%) | 8 (28.57%) | 33 (42.31%) |
CT score | |||||
0 | 95 (35.71%) | 23 (32.86%) | 5 (35.71%) | 9 (32.14%) | 28 (35.90%) |
≤ 18 | 39 (14.66%) | 13 (18.57%) | 1 (7.14%) | 7 (25.00%) | 9 (11.54%) |
> 18 | 132 (49.62%) | 34 (48.57%) | 8 (57.14%) | 12 (42.86%) | 41 (52.56%) |
Pattern of involvement | |||||
Normal | 95 (35.71%) | 23 (32.86%) | 5 (35.71%) | 9 (32.14%) | 28 (35.90%) |
Pure GGO | 53 (19.57%) | 18 (25.71%) | 1 (7.14%) | 4 (14.29%) | 14 (17.95%) |
Mixed GGO and consolidation | 118 (44.36%) | 29 (41.43%) | 8 (57.145) | 15 (53.57%) | 36 (46.15%) |
Other abnormality | |||||
Crazy paving | 39 (14.66%) | 9 (12.865) | 3 (21.43%) | 5 (17.86%) | 11 (14.10%) |
Pleural effusion | 89 (33.46%) | 16 (22.86%) | 10 (71.43%) | 13 (46.43%) | 28 (35.90%) |
Pericardial effusion | 11 (4.14%) | 3 (4.29%) | 3 (21.43%) | 1 (3.57%) | 3 (3.85%) |
Lymphadenopathy | 33 (12.41%) | 10 (14.29%) | 2 (14.29%) | 3 (10.71%) | 6 (7.69%) |
Centrilobular nodules | 27 (10.15%) | 5 (7.14%) | 1 (7.14%) | 6 (21.43%) | 8 (10.26%) |
Metastatic nodules | 22 (8.27%) | 2 (2.86%) | 2 (14.29%) | 6 (21.43%) | 6 (7.69%) |
Architectural distortion | 22 (8.27%) | 4 (5.71%) | 2 (14.29%) | 3 (10.71%) | 8 (10.26%) |
Mass | 14 (5.26%) | 4 (5.71%) | 6 (42.86%) | 0 | 0 |