The unexpectedly rapid spread and fast progression of coronavirus disease 2019 (COVID-19) call for early screening, detection and timely monitoring by imaging modalities. Chest computed tomography (CT) has been dominantly used for COVID-19 diagnosis; however, limitations including radiation exposure, limited mobility and expensive devices may constrain its usefulness, especially during this public health emergency with deficient medical resources.
Lung ultrasonography (LUS) has been increasingly used as a reliable tool for lung disease assessment especially in intensive care medicine [1, 2]. Lesions of COVID-19 pneumonia have shown predominantly peripheral distribution , which makes LUS detection more suitable. However, there is no information available to determine the diagnostic value of LUS in COVID-19 in comparison with chest CT.
In this retrospective study, patients with laboratory-confirmed COVID-19 pneumonia (clinical classification: common type ) from two local government designated medical centers in Xi’an, China, receiving simultaneous LUS and chest CT scans (defined as exam interval ≤ 12 h) by independent investigators were included. To facilitate the comparison between LUS and chest CT, lungs were divided into 12 regions (Fig. 1a), and in each region, LUS features including A-lines, B-lines, consolidation and pleural effusion (PE) and CT features including ground glass opacity (GGO), consolidation and PE were evaluated. The regional alveolar-interstitial pattern (AIP) was defined as multiple B-lines (≥ 3) shown within a region by LUS and as the presence of GGO pattern by CT. Alveolar-interstitial syndrome (AIS) was defined as positive AIP regions (≥ 2) per side + bilateral positivity . The consolidations and PE were diagnosed as previously described [1, 5] (see detailed methods in Supplementary File).
We finally included 29 patients (aging 55.2 ± 16.2 years, 18 males) with 45 paired LUS + CT imaging data. In the total 540 lung regions, 340 (63%) positive regions were detected by LUS, including multiple B-lines (324 regions), consolidations (210 regions) and PE (67 hemithoraxes). In contrast, chest CT showed 209 (38.7%) regions with abnormal findings, including GGO (208 regions), consolidations (16 regions) and PE (14 hemithoraxes). LUS was more sensitive than chest CT in the diagnosis of regional AIP (60% vs. 38.5%, P < 0.0001, by McNemar’s test), AIS (93.3% vs. 68.9%, P = 0.001), consolidation (38.9% vs. 3%, P < 0.0001) and PE (74.4% vs. 15.6%, P < 0.0001) (detailed results are in Supplementary File). Both LUS and CT findings showed the lesions of COVID-19 were more likely to occur in the posterior regions of lungs with bilateral distribution. Figure 1 shows the simultaneous LUS and chest CT findings in a representative patient.
Due to its superior capacity in tissue density resolution, LUS is highly sensitive to variations of the pulmonary content balance between air and fluids. COVID-19 pneumonia is characterized by alveolar-interstitial damage with inflammatory exudation and edema, which can be clearly detected by LUS as shown in this study. The findings of this study demonstrate that LUS is more sensitive than chest CT in detecting lesions such as alveolar-interstitial disorders, consolidation and PE in patients with COVID-19 pneumonia. Given the sensitivity, portability and safety, LUS can be a preferable imaging modality for assisting early diagnosis and assessment of COVID-19.
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This research was supported by grants from the National Natural Science Foundation of China (No. 81801865 to W.Z. and No. 81671690 to Y.L.) and the Natural Science Foundation Research Program in Shaanxi Province (No. 2019JQ-700 to W.Z., No. 2019JM-191 to Y.Y.).
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The authors declared no conflict of interest.
This study was approved by the institutional review boards of the relevant centers. The requirement for informed patient consent was waived for this retrospective study.
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Yang, Y., Huang, Y., Gao, F. et al. Lung ultrasonography versus chest CT in COVID-19 pneumonia: a two-centered retrospective comparison study from China. Intensive Care Med 46, 1761–1763 (2020). https://doi.org/10.1007/s00134-020-06096-1