Dynamic Imaging Changes of COVID-19 Pneumonia at Different Stages

Purpose: To investigate the Computed Tomography (CT) imaging characteristics and dynamic changes of COVID-19 pneumonia at different stages. Methods: Forty-six patients infected with COVID-19 who had chest CT scans were enrolled, and CT scans were performed 4-6 times with an interval of 2-5 days. Results: At the early stage (n=25), ground glass opacity was presented in 11 patients (11/25 or 44.0%) and ground glass opacity mixed with consolidation in 13 (13/25 or 52.0%) in the lung CT images. At the progressive stage (n=38), ground glass opacity was presented in only one patient (1/38 or 2.6%) and ground glass opacity mixed with consolidation in 33 (33/38 or 86.8%). In the early improvement stage (n=38), the imaging presentation was ground glass opacity alone in three patients (3/38 or 7.9%) and ground glass opacity mixed with consolidation in 34 (34/38 or 89.5%). In the late improvement (absorption) stage (n=33), the primary imaging presentation was ground glass presentation in eight patients (8/33 or 24.2%) and ground glass opacity mixed with consolidation in 23 (23/33 or 69.7%). The lesion reached the peak at 4-16 days after disease onset, and 26 (26/38 or 68.4%) patients reached the disease peak within ten days. Starting from 6 to 20 days after onset, the disease began to be improved, with 30 (30/38 or 78.9%) patients being improved within 15 days. Conclusion: COVID-19 pneumonia will progress to the peak stage at a mediate time of seven days and enter the improvement stage at twelve days. Computed tomography imaging of the pulmonary lesion has a common pattern from disease onset to improvement and recovery and provides important information for evaluation of the disease course and treatment effect.

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Computed tomography manifestations in super early stage 2019 novel coronavirus pneumonia

Acta Radiologica ◽

10.1177/0284185120924806 ◽

2020 ◽

pp. 028418512092480

Author(s):

Shan Hu ◽

Zhen Li ◽

Xu Chen ◽

Chang-Hong Liang

Keyword(s):

Computed Tomography ◽

Early Stage ◽

Ground Glass Opacity ◽

Chest Ct ◽

Ground Glass ◽

Reticular Pattern ◽

Initial Stage ◽

Pr China ◽

Novel Coronavirus

Background The recent outbreak of pneumonia cases in Wuhan, PR China, was caused by a novel beta coronavirus, the 2019 novel coronavirus (COVID-19). Purpose To summarize chest computed tomography (CT) manifestations of the early stage of COVID-19 infection and provide a piece of reliable imaging evidence for initial screening and diagnosis. Material and Methods From 10 January 2020 to 10 February 2020, we continuously observed chest CT imaging of 14 patients with clinically suspected new coronavirus infection in the two weeks after onset of symptoms. Ground-glass opacity (GGO), consolidation, reticular pattern, and ground-glass mimic nodules in each patient’s chest CT image were recorded. Results We enrolled 14 patients, of which nine patients had the infection confirmed by reverse transcription polymerase chain reaction (RT-PCR). Five patients were highly suspected of infection. All cases had epidemiological evidence. GGO was a dominant imaging manifestation in the initial days of infection. GGO performance accounts for 40% in 1– 2 days, 90% in 3– 6 days, and 85% in 7– 10 days. With disease progression, consolidation appeared on follow-up CT. Consolidation performance accounts for 0% in 1– 2 days, 40% in 3– 6 days, and 71% in 7– 10 days. The lesions are mostly near the pleura. The number of lesions and the extent of the lesions increased as the disease progressed. Conclusion Patients with novel coronavirus pneumonia have characteristic CT features in the initial stage of infection, which can be used as an essential supplement for nucleic acid examination.

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Radiological changes of serial CT examinations in patients recovering from coronavirus disease 2019 (COVID-19)

10.21203/rs.3.rs-23952/v1 ◽

2020 ◽

Author(s):

Qian Xu ◽

Lin Shi ◽

Mengshuang Li ◽

Lina Dong ◽

Lulu Cai ◽

...

Keyword(s):

Early Stage ◽

Ground Glass Opacity ◽

Ct Imaging ◽

Imaging Characteristics ◽

Third Stage ◽

Three Stages ◽

Common Sign ◽

Different Characteristics ◽

Progressive Stage ◽

Pulmonary Ct

Abstract Purpose: To find the pulmonary CT imaging characteristics in patients recovering from coronavirus disease 2019 (COVID-19).Method: Twenty patients with confirmed COVID-19 were enrolled. We analyzed the changes of four pulmonary CT imaging manifestations (ground glass opacity, consolidation, crazy paving sign and cord/band sign) in patients during hospitalization. The disease course was divided into four stages: early stage (0-4 days), progressive stage (5-8 days), peak stage (9-13 days) and absorption stage (≥14 days).Results: There were 12 male and 8 female with an average age of 45±16 years. In the first three stages, GGO was the most common sign on CT imaging. Then, the proportion of GGO decreased in the absorption stage compared with the first three stages (P<0.05). The proportion of crazy paving sign peaked in the progressive stage and then declined, with statistical difference between the progressive stage and the absorption stage (P<0.05). Cord/band sign was increasing from the early stage to the absorption stage, and statistical differences were found between the early stage and the peak stage (P<0.05), as well as the absorption stage and the first three stages (P<0.05). No statistical differences of consolidation proportion were found among the four stages.Conclusions: CT imaging showed different characteristics during the four stages. The proportion of cord/band sign significantly increased in the third stage, which might be an indicator of COVID-19 improvement.

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Chest computed tomography imaging features in patients with coronavirus disease 2019 (COVID-19)

Journal of International Medical Research ◽

10.1177/03000605211010631 ◽

2021 ◽

Vol 49 (5) ◽

pp. 030006052110106

Author(s):

Hoda Salah Darwish ◽

Mohamed Yasser Habash ◽

Waleed Yasser Habash

Keyword(s):

Computed Tomography ◽

Intermediate Phase ◽

Early Stage ◽

Lower Lobe ◽

Ground Glass Opacity ◽

Intermediate Stage ◽

Mediastinal Lymphadenopathy ◽

Imaging Features ◽

Stage Disease ◽

Bilateral Lesions

Objective To analyze computed tomography (CT) features of symptomatic patients with coronavirus disease 2019 (COVID-19). Methods Ninety-five symptomatic patients with COVID-19 confirmed by reverse-transcription polymerase chain reaction from 1 May to 14 July 2020 were retrospectively enrolled. Follow-up CT findings and their distributions were analyzed and compared from symptom onset to late-stage disease. Results Among all patients, 15.8% had unilateral lung disease and 84.2% had bilateral disease with slight right lower lobe predilection (47.4%). Regarding lesion density, 49.4% of patients had pure ground glass opacity (GGO) and 50.5% had GGO with consolidation. Typical early-stage patterns were bilateral lesions in 73.6% of patients, diffuse lesions (41.0%), and GGO (65.2%). Pleural effusion occurred in 13.6% and mediastinal lymphadenopathy in 11.5%. During intermediate-stage disease, 47.4% of patients showed GGO as the disease progressed; however, consolidation was the predominant finding (52.6%). Conclusion COVID-19 pneumonia manifested on lung CT scans with bilateral, peripheral, and right lower lobe predominance and was characterized by diffuse bilateral GGO progressing to or coexisting with consolidation within 1 to 3 weeks. The most frequent CT lesion in the early, intermediate, and late phases was GGO. Consolidation appeared in the intermediate phase and gradually increased, ending with reticular and lung fibrosis-like patterns.

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Pure ground-glass opacity on chest computed tomography: predictive factors for invasive adenocarcinoma

Journal of Thoracic Disease ◽

10.21037/jtd.2016.06.34 ◽

2016 ◽

Vol 8 (7) ◽

pp. 1561-1570 ◽

Cited By ~ 24

Author(s):

Youngkyu Moon ◽

Sook Whan Sung ◽

Kyo Young Lee ◽

Sung Bo Sim ◽

Jae Kil Park

Keyword(s):

Computed Tomography ◽

Predictive Factors ◽

Ground Glass Opacity ◽

Ground Glass ◽

Invasive Adenocarcinoma ◽

Chest Computed Tomography

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Features Based on Thin-section Computed Tomography Identify the Typeof lung Adenocarcinoma

10.21203/rs.3.rs-18082/v2 ◽

2020 ◽

Author(s):

Zhiqiang Li ◽

Hongwei Zheng ◽

Shanshan Liu ◽

Xinhua Wang ◽

Lei Xiao ◽

...

Keyword(s):

Computed Tomography ◽

Lung Adenocarcinoma ◽

Thin Section ◽

Ground Glass Opacity ◽

Smoking History ◽

Ground Glass ◽

Quantitative Aspect ◽

Adenocarcinoma In Situ ◽

Invasive Adenocarcinoma ◽

Pleural Invasion

Abstract Background: To investigate whether thin-section computed tomography (TSCT) features may efficiently guide the invasiveness basedclassification of lung adenocarcinoma. Methods: Totally, 316 lung adenocarcinoma patients (from 2011-2015) were divided into three groups: 56 adenocarcinoma in situ (AIS), 98 minimally invasive adenocarcinoma (MIA), and 162 invasive adenocarcinoma (IAC) according their pathological results. Their TSCT features, including nodule pattern, shape, pleural invasion, solid proportion, border, margin, vascular convergence, air bronchograms, vacuole sign, pleural indentation, diameter, solid diameter, and CT values of ground-glass nodules (GGN) were analyzed. Pearson’s chi-square test, Fisher’s exact test and One-way ANOVA were adopted tocomparebetweengroups. Receiver operating characteristic (ROC) analysis wereperformedto assess its value for prediction and diagnosis. Results: Patients with IAC were significantly elder than those in AIS or MIA group,and more MIA patients had a smoking history than AIS and IAC. No recurrence happened in the AIS and MIA groups, while 4.3% recurrences were confirmed in the IAC group. As for TSCT variables, we found AIS group showed dominantly higher 91.07%PGGN pattern and 87.50% round/oval nodules than that in MIA and IAC group. In contrast, MIA group showed more cases with undefined border and vascular convergence than AIS and IAC group. Importantly, IAC group uniquely showed higher frequency of pleural invasion compared with MIA and AIS group. The majority of patients (82.1%) in IAC group showed ≥ 50% solid proportion. We found diameter and solid diameter of the lesions were notably larger in the IAC group compared with AIS and MIA groupin quantitative aspect. In addition, for MGGNs, the CT values of ground-glass opacity (GGO) and ground-glass opacity solid portion (GGO-solid) were both higher in the IAC group than AIS and MIA. Finally, we also observed that smooth margin took a dominant proportion in the AIS group while most cases in the IAC group had a lobulate margin. Patients in MIA and IAC group shared higher level of air bronchograms and vacuole signs than AIS group. Conclusions: The unique features in different groups identified by TSCT had diagnosis value for lung adenocarcinoma.

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