Comparison of Chest Computed Tomography (CT) Imaging Patterns and Severity among COVID-19 Patients during the First and Fourth Waves in Addis Ababa, Ethiopia

Table 4

Chest CT imaging patterns among COVID-19 patients with positive imaging findings.

Variables	1^st wave	4^th wave	value
	Frequency (%), n = 99	Frequency (%), n = 69
Number of features			0.095
Single features	12 (12.1%)	15 (21.7%)
Multiple features	87 (87.9%)	54 (78.3%)
Symmetry of involvement			0.021
Unilateral	2 (2%)	7 (10.1%)
Bilateral	97 (98%)	62 (89.9%)
Zonal distribution			0.004
Central	2 (2%)	7 (10.1%)
Peripheral	58 (58.6%)	25 (36.2%)
Diffuse	39 (39.4%)	37 (53.6%)
Lobar involvement
Right upper lobe	88 (88.9%)	7 (10.1%)	<0.001
Right middle lobe	90 (90.9%)	5 (7.2%)	<0.001
Right lower lobe	97 (98%)	37 (53.6%)	<0.001
Left upper lobe	88 (88.9%)	9 (13%)	<0.001
Left lower lobe	97 (98%)	32 (46.4%)	<0.001
Ground glass appearance(GGO)	83 (83.8%)	54 (78.3%)	0.359
Central	3 (3.61%)	1 (1.85%)
Peripheral	47 (56.63%)	23 (42.59%)
Central and peripheral	33 (39.76%)	32 (55.56%)
Broncho-vascular thickening	34 (34.3%)	26 (37.7%)	0.657
Crazy paving	6 (6.1%)	16 (23.2%)	0.001
Traction bronchiectasis	10 (10.1%)	0 (0%)
Halo sign	10 (10.1%)	0 (0%)
Consolidation	87 (87.9%)	36 (52.2%)	<0.001
Central	1 (1.15%)	4 (10.26%)
Peripheral	65 (74.71%)	14 (35.9%)
Diffuse	21 (24.14%)	21 (53.84%)
Margin of consolidation			<0.001
Sharp	4 (4.1%)	23 (33.8%)
Hazy	81 (81.8%)	12 (17.7%)
Not applicable	14 (14.1%)	33 (48.5%)
Multiple round consolidations	7 (8.04%)	16 (23.2%)	0.02