scholarly journals Computed Tomography Findings and Short-term follow-up with Novel Coronavirus Pneumonia

2020 ◽  
Author(s):  
Shi Qi ◽  
Hui Guo ◽  
Hua Shao ◽  
Siqin Lan ◽  
Yuanlin He ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Early Diagnosis ◽  
Close Contact ◽  
Female Group ◽  
Improvement Rate ◽  
Pleural Thickening ◽  
Small Nodule ◽  
Novel Coronavirus ◽  
Ct Features

AbstractObjectiveTo assess the characteristics of computed tomography (CT) features and changes in CT monitoring in patients with novel coronavirus pneumonia (NCP).MethodsIn this retrospective, two-center study, we reviewed the medical records of 57 patients with NCP in CT from January 21 to February 12, 2020. Cases were confirmed by the results of nucleic acid test positive, and were analyzed for demographic, clinical, and CT features.ResultsOf the 57 patients, 31cases were male, and 45.6% were female. The average age was 46.5 ± 15.8 years. Patients had fever (84.2%), cough (49.1%), weak (31.6%), muscle ache (17.5%), shortness of breath (12.3%). The distribution of abnormality was a subpleural lesions in 51 cases, with 96.5% ground-glass opacity (GGO) and 68.4% consolidation. Another observation reveals 45.6% fibrosis, 33.3% lymph node enlargement, 21.1% pleural thickening, 17.5% small nodule, 7.0% white lung, 5.3% emphysema, and 3.5% bronchiectasis. Importantly, the group of men had more septal thickening and air trapping than the female group (p<0.05); Compared with the younger, the elderly had higher of subpleural lesion, interlobular septal thickening and pleural thickening (p<0.05). In the first monitoring, there were 37.3% improvement, 60.8% progress. In the second monitoring, there were 55% improvement, 35% progress. The improvement rate during the third follow-up visit was 100%.ConclusionsCT features and CT dynamic observation play a vital role in the diagnosis and treatment with NCP. It is conducive to early diagnosis, deepen the knowledge of NCP and accumulate experience.Key pointsBilateral and subpleural regions on CT are common in patients with novel coronavirus pneumonia (NCP), which were more extensive GGOs than consolidation.At CT, NCP shows GGOs without or with consolidation, which most of the patients appear interlobular interstitium thickening, vascular bundle thickening, air bronchogram, and fibrosis. In patients with fever in close contact with eruption areas of 2019-nCoV, familiarity with the CT findings may help with early diagnosis, early isolation, and management.

scholarly journals Early Computed Tomography Findings of Novel Coronavirus Disease 2019 (COVID-19) Pneumonia

2020 ◽  
Vol 15 (5) ◽  
Author(s):  
Pinar Diydem Yilmaz ◽  
Cengiz Kadiyoran ◽  
Suleyman Bakdik ◽  
Necdet Poyraz ◽  
Hulya Vatansev
Keyword(s):  
Computed Tomography ◽  
Retrospective Study ◽  
Imaging Modality ◽  
Ground Glass Opacity ◽  
Ground Glass ◽  
Pleural Thickening ◽  
Halo Sign ◽  
Ct Findings ◽  
Novel Coronavirus ◽  
Ct Features

Background: Novel coronavirus disease (COVID-19) pneumonia is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is highly contagious and threatens human health. Chest computed tomography (CT) is an accurate imaging modality for diagnosis and follow-up. Objectives: To investigate early CT features of COVID-19 pneumonia. Methods: Retrospective study. Sixty-three patients with COVID-19 pneumonia (28 men, 35 women; age range, 21 - 85 years; mean, 59 years) confirmed by reverse transcription-polymerase chain reaction (RT-PCR) were enrolled in this retrospective study and CT findings were evaluated. Patients were classified into three groups for estimating COVID-19 pneumonia, according to CT features. Results: Nineteen (30%) patients classified as out of COVID-19 pneumonia had normal CT findings. Twenty-eight (44%) patients, classified as highly suggestive for COVID-19 pneumonia, had typical findings for COVID-19 pneumonia. In highly suggestive for COVID-19 pneumonia group most common CT features were peripheral (64%), multilobar (96%), patchy, and round (54%) ground-glass opacity (GGO) (57%). Air bronchogram (93%), crazy-paving patterns (79%), and vascular thickening (61%) were the most common special findings. We only detected these rare findings such as halo sign, reverse halo sign, lymphadenopathy, pleural and pericardial effusion, pleural thickening, and fibrotic lines in patients with COVID-19 with chronic diseases. Conclusions: The early CT findings are peripheral, multilobar, patchy, and round ground glass opacities accompanied by vascular thickening, crazy-paving pattern, or air bronchogram sign. Rare findings are only seen in the presence of concomitant diseases.

scholarly journals Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Zhi-gang Chu ◽  
Yan Zhang ◽  
Wang-jia Li ◽  
Qi Li ◽  
Yi-neng Zheng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Tumor Diameter ◽  
Lung Cancers ◽  
Halo Sign ◽  
Regular Shape ◽  
Ct Features

Abstract Background The computed tomography (CT) features of small solid lung cancers and their changing regularity as they grow have not been well studied. The purpose of this study was to analyze the CT features of solid lung cancerous nodules (SLCNs) with different sizes and their variations. Methods Between February 2013 and April 2018, a consecutive cohort of 224 patients (225 nodules) with confirmed primary SLCNs was enrolled. The nodules were divided into four groups based on tumor diameter (A: diameter ≤ 1.0 cm, 35 lesions; B: 1.0 cm < diameter ≤ 1.5 cm, 60 lesions; C: 1.5 cm < diameter ≤ 2.0 cm, 63 lesions; and D: 2.0 cm < diameter ≤ 3.0 cm, 67 lesions). CT features of nodules within each group were summarized and compared. Results Most nodules in different groups were located in upper lobes (groups A − D:50.8%–73.1%) and had a gap from the pleura (groups A − D:89.6%–100%). The main CT features of smaller (diameter ≤ 1 cm) and larger (diameter > 1 cm) nodules were significantly different. As nodule diameter increased, more lesions showed a regular shape, homogeneous density, clear but coarse tumor–lung interface, lobulation, spiculation, spinous protuberance, vascular convergence, pleural retraction, bronchial truncation, and beam-shaped opacity (p < 0.05 for all). The presence of halo sign in all groups was similar (17.5%–22.5%; p > 0.05). Conclusions The CT features vary among SLCNs with different sizes. Understanding their changing regularity is helpful for identifying smaller suspicious malignant nodules and early determining their nature in follow-up.

scholarly journals Influenza-Like Illness Caused by the 2019 Novel Coronavirus (2019-nCoV) via the Person-to-Person Transmission

2020 ◽  
Author(s):  
Huimin Zhang ◽  
Wei Wang ◽  
Ningjun Wu ◽  
Wugao Liu ◽  
Chunsheng Qu ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Global Health ◽  
Epidemiological Study ◽  
Molecular Diagnosis ◽  
Close Contact ◽  
Full Spectrum ◽  
Health Crisis ◽  
Chest Computed Tomography ◽  
Influenza Like Illness ◽  
Novel Coronavirus

The ongoing pandemic of the 2019 novel coronavirus disease (COVID-19) raises a global health crisis, which has resulted in 75,778 confirmed cases with 2130 deaths in China and beyond. Atypical symptom renders it challenging to earlier recognize the 2019-nCoV carrier with the potential ability of equivalent transmission. Therefore, it is needed to gain full spectrum of COVID-19. Here we report clustered COVID-19 cases of person-to-person transmission. The symptoms of typical pneumonia are shared by the two familial members, namely son (Patient 1) and father (Patient 2). Unexpectedly, an influenza-like illness (ILI) is also caused in Patient 3 having close contact with Patient 1 at personal dinner party. Combined with clinical and epidemiological study, chest computed tomography (CT) and molecular diagnosis demonstrate that all the three cases tested positive for COVID-19 with distinct symptoms by human-to-human transmission. To the best of knowledge, it closes in part (if not all), a missing gap of clinical repertoires of COVID-19 outbreaks and underlines the possibility that neglection of cryptic/asymptomatic/mild cold-like syndromes gives biased screen in the earlier stage of COVID-19 cases.

Pleural Neoplasms

Chest Imaging ◽  
2019 ◽  
pp. 181-184
Author(s):  
Christopher M. Walker
Keyword(s):  
Computed Tomography ◽  
Gastrointestinal Tract ◽  
Metastatic Disease ◽  
Asbestos Exposure ◽  
Volume Loss ◽  
Pleural Thickening ◽  
Pleural Surface ◽  
Fibrous Tumor ◽  
Ct Features ◽  
Pleural Neoplasms

Pleural neoplasms discusses the radiographic and computed tomography (CT) manifestations of primary and secondary pleural neoplasms. Four CT features suggest malignant pleural thickening including nodular pleural thickening, circumferential pleural thickening, pleural thickening measuring greater than 1 cm in thicknesss, and thickening of the mediastinal pleural surface. The most common pleural malignancy is metastatic disease, generally from adenocarcinomas of the lung, breast, or gastrointestinal tract. Thymoma may spread to the pleura via direct extension or drop metastases. Mesothelioma is uncommon but is the most common primary pleural malignancy and is almost universally associated with asbestos exposure. It manifests with rind-like pleural thickening which may involve interlobar fissures and often causes volume loss in the affected hemithorax. Localized fibrous tumor of the pleura usually arises from the visceral pleural surface and manifests as a lobular or smooth pleural mass usually in the mid or lower hemithorax.

scholarly journals Computed tomography manifestations in super early stage 2019 novel coronavirus pneumonia

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.

scholarly journals Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations

2019 ◽  
Author(s):  
Zhi-gang Chu ◽  
Yan Zhang ◽  
Wang-jia Li ◽  
Qi Li ◽  
Yi-neng Zheng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Tumor Diameter ◽  
Lung Cancers ◽  
Halo Sign ◽  
Regular Shape ◽  
Ct Features

Abstract Background: The computed tomography (CT) features of small solid lung cancers and their changing regularity as they grow have not been well studied. The purpose of this study was to analyze the CT features of solid lung cancerous nodules (SLCNs) with different sizes and their variations. Methods: Between February 2013 and April 2018, a consecutive cohort of 224 patients (225 nodules) with confirmed primary SLCNs was enrolled. The nodules were divided into four groups based on tumor diameter (A: diameter ≤ 1.0 cm, 35 lesions; B: 1.0 cm < diameter ≤ 1.5 cm, 60 lesions; C: 1.5 cm < diameter ≤ 2.0 cm, 63 lesions; and D: 2.0 cm < diameter ≤ 3.0 cm, 67 lesions). CT features of nodules within each group were summarized and compared. Results: Most nodules in different groups were located in upper lobes (groups A−D：50.8%−73.1%) and had a gap from the pleura (groups A−D：89.6%−100%). The main CT features of smaller (diameter ≤ 1 cm) and larger (diameter > 1 cm) nodules were significantly different. As nodule diameter increased, more lesions showed a regular shape, homogeneous density, clear but coarse tumor–lung interface, lobulation, spiculation, spinous protuberance, vascular convergence, pleural retraction, bronchial truncation, and beam-shaped opacity (p < 0.05 for all). The presence of halo sign in all groups was similar (17.5%−22.5%; p > 0.05). Conclusions: The CT features vary among SLCNs with different sizes. Understanding their changing regularity is helpful for identifying smaller suspicious malignant nodules and early determining their nature in follow-up.

scholarly journals Clinical presentation and CT features in pediatric patients with COVID‐19 infection

2021 ◽  
Author(s):  
Huseyin Avni Solgun ◽  
Isıl Yurdaısık
Keyword(s):  
Pediatric Patients ◽  
Clinical Laboratory ◽  
Close Contact ◽  
Laboratory Data ◽  
Chest Ct ◽  
Pharyngeal Swab ◽  
Laboratory Findings ◽  
Pulmonary Lesions ◽  
Novel Coronavirus ◽  
Ct Features

Abstract Background The aim of this study includes to discuss the clinical, laboratory, and chest computed tomography (CT) in pediatric patients with 2019 novel coronavirus (COVID-19) infection. Material and Methods The clinical, laboratory, and chest CT features of 17 pediatric inpatients with COVID-19 infection confirmed by pharyngeal swab COVID‐19 polymerase chain reaction(PCR). All clinical and laboratory data have been recorded and analyzed during march-february 2021. Chest CT have been performed to all Covid 19 PCR confirmed patients and radiologicall view have been noted. Results Seventeen pediatric patients with a history of close contact with COVID-19 diagnosed family members included to the study. Fever (10/17, 58%) and cough (13/17, 76%) were the most common symptoms. For laboratory findings, c reactive protein elevation (15/17, 88%) seem to be the most finding. A total of 4 patients presented with unilateral pulmonary lesions (4/17, 23%), 9 with bilateral pulmonary lesions (9/17, 52%) and 13 cases showed bilateral diffuse covid pattern on chest CT (13/17, 76%). Non-spesific consolidation with was observed in 8 patients (8/17, 47%), ground‐glass opacities were observed in 11 patients (11/17, 64%), nodules were observed in 7 patients (7/17, 41%), and tiny nodules were observed in 2 patients (2/17, 11%). Conclusion In pediatric patients with positive COVID-19 nucleic acid test from pharyngeal swab samples; the early detection of lesions by CT can be efficient; in management and early treatment for pediatric patients. However; early chest CT screening and COVİD-19 PCR testing together can be more efficent in diagnose.

scholarly journals AB0204 Early diagnosis and follow-up of pyomyositis by computed tomography

2001 ◽  
Author(s):  
N Kyriazis ◽  
G Pardalis ◽  
E Kyprizlis ◽  
A Papageorgiou ◽  
L Brianas
Keyword(s):  
Computed Tomography ◽  
Early Diagnosis

Incidental Pancreatic Lipomas: Computed Tomography Imaging Findings with Emphasis on Diagnostic Challenges

2010 ◽  
Vol 61 (3) ◽  
pp. 156-161 ◽  
Author(s):  
Osman Temizoz ◽  
Hakan Genchellac ◽  
Ercument Unlu ◽  
Fatih Kantarci ◽  
Hasan Umit ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Mean Value ◽  
Imaging Studies ◽  
Computed Tomography Imaging ◽  
Tomography Imaging ◽  
Asymptomatic Patients ◽  
Adjacent Structures ◽  
Ct Features ◽  
Histopathologic Confirmation

Purpose The purpose of this study was to describe the computed tomography (CT) findings of pancreatic lipomas of 9 cases, with emphasis to diagnostic challenges. Methods Between March 2006 and April 2008, 9 patients with pancreatic lipomas that were diagnosed by CT were reviewed in the present study. Clinical data and CT features of these 9 cases were retrospectively analysed. The patient population included 5 men and 4 women, aged 42–81 years (mean age, 65.8 years). The patients were followed up for at least 2 years with control CTs. Results In all 9 cases, a well-bordered nodular fat density lesion was incidentally detected in the pancreas. Four of the lesions had a lobulated contour, and 2 of them had septations. Two of the lipomas were located in the head, 3 in the neck, 3 in the corpus, and 1 in the tail. The CT densitometric values were between −90 and −120 HU, with a mean value of −106 HU. No pancreatic or biliary dilatation or compression to the adjacent structures was seen. All the cases had control CTs, and the lipomas remained unchanged during the follow-up period. Histopathologic confirmation of the diagnosis was not planned for the cases. Conclusion Lipomas are rarely encountered in the pancreas. They often are diagnosed coincidentally as small, well-circumscribed, encapsulated, homogeneous, mature adipose masses on imaging studies. Imaging follow-up strategy or histopathologic confirmation is not necessary in asymptomatic patients.

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