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Article ; Online: Computed tomography findings in a case of coronavirus disease 2019.

Yang, Bin / Wang, Libin / Xu, Guanghai / Duan, Wenshuai / Zhang, Feng / Cui, Chunmao / Wang, Zhijun / Du, Wei / Wu, Xinhua

Radiology of infectious diseases (Beijing, China)

2020 Volume 7, Issue 2, Page(s) 81–83

Abstract: Coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome ... is chest computed tomography (CT) which plays an important role in early diagnosis, quarantine, and ... case of COVID-19 admitted to our hospital. Our aims are to improve understanding of this disease and ...

Abstract	Coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is mainly characterized by pulmonary inflammation. The preferred imaging modality is chest computed tomography (CT) which plays an important role in early diagnosis, quarantine, and treatment as well as in the evaluation of therapeutic efficacy. We report the imaging data from a confirmed case of COVID-19 admitted to our hospital. Our aims are to improve understanding of this disease and to facilitate early diagnosis and evaluation of therapeutic efficacy. A 70-year-old woman living in the epidemic area presented with a 2-day history of intermittent fever. Chest CT revealed multiple ground glass opacities in both lungs, mainly distributed subpleurally and in the middle and lateral lung fields, particularly in the right lung, where they had partially fused into patches. Local interlobular septal thickening was also observed. Throat swabs were positive for the SARS-CoV-2 nucleic acid, which confirmed the diagnosis of COVID-19. Chest CT plays a key role in the diagnosis of COVID-19, providing an accurate diagnosis and is a sensitive technique for evaluation of therapeutic efficacy. It has the advantages of promptness, convenience, and high efficiency.
Keywords	covid19
Language	English
Publishing date	2020-05-12
Publishing country	China
Document type	Case Reports
ISSN	2352-622X
ISSN (online)	2352-622X
DOI	10.1016/j.jrid.2020.05.002
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Computed tomography findings in a case of coronavirus disease 2019

Bin Yang / Libin Wang / Guanghai Xu / Wenshuai Duan / Feng Zhang / Chunmao Cui / Zhijun Wang / Wei Du / Xinhua Wu

Radiology of Infectious Diseases, Vol 7, Iss 2, Pp 81-

2020 Volume 83

Abstract	Coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is mainly characterized by pulmonary inflammation. The preferred imaging modality is chest computed tomography (CT) which plays an important role in early diagnosis, quarantine, and treatment as well as in the evaluation of therapeutic efficacy. We report the imaging data from a confirmed case of COVID-19 admitted to our hospital. Our aims are to improve understanding of this disease and to facilitate early diagnosis and evaluation of therapeutic efficacy.A 70-year-old woman living in the epidemic area presented with a 2-day history of intermittent fever. Chest CT revealed multiple ground glass opacities in both lungs, mainly distributed subpleurally and in the middle and lateral lung fields, particularly in the right lung, where they had partially fused into patches. Local interlobular septal thickening was also observed. Throat swabs were positive for the SARS-CoV-2 nucleic acid, which confirmed the diagnosis of COVID-19.Chest CT plays a key role in the diagnosis of COVID-19, providing an accurate diagnosis and is a sensitive technique for evaluation of therapeutic efficacy. It has the advantages of promptness, convenience, and high efficiency.
Keywords	Coronavirus disease ; Imaging diagnosis ; Computed tomography ; X-ray imaging ; Infectious and parasitic diseases ; RC109-216 ; covid19
Subject code	610
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Computed tomography findings in a case of coronavirus disease 2019

Yang, Bin / Wang, Libin / Xu, Guanghai / Duan, Wenshuai / Zhang, Feng / Cui, Chunmao / Wang, Zhijun / Du, Wei / Wu, Xin Hua

Abstract	Coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is mainly characterized by pulmonary inflammation. The preferred imaging modality is chest computed tomography (CT) which plays an important role in early diagnosis, quarantine, and treatment as well as in the evaluation of therapeutic efficacy. We report the imaging data from a confirmed case of COVID-19 admitted to our hospital. Our aims are to improve understanding of this disease and to facilitate early diagnosis and evaluation of therapeutic efficacy. A 70-year-old woman living in the epidemic area presented with a 2-day history of intermittent fever. Chest CT revealed multiple ground glass opacities in both lungs, mainly distributed subpleurally and in the middle and lateral lung fields, particularly in the right lung, where they had partially fused into patches. Local interlobular septal thickening was also observed. Throat swabs were positive for the SARS-CoV-2 nucleic acid, which confirmed the diagnosis of COVID-19. Chest CT plays a key role in the diagnosis of COVID-19, providing an accurate diagnosis and is a sensitive technique for evaluation of therapeutic efficacy. It has the advantages of promptness, convenience, and high efficiency.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #232724
Database	COVID19

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Article: Computed tomography imaging findings in hospitalized patients with coronavirus disease 2019 (COVID-19): a descriptive study of 81 cases.

Zarrintan, Armin / Javadrashid, Reza / Jalili, Javad / Hajebrahimi, Sakineh / Varshochi, Mojtaba / Hajalioghli, Parisa / Seifi, Batool / Mirza-Aghazadeh-Attari, Mohammad / Tarzamni, Mohammad Kazem

Polish journal of radiology

2021 Volume 86, Page(s) e165–e171

Abstract: ... imaging. The sensitivity of CT in diagnosing coronavirus disease 2019 (COVID-19) was estimated to be 96 ... a diagnostic challenge. Early studies have shown that computed tomography (CT) imaging may be useful ... Purpose: Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) has proven to be ...

Abstract	Purpose: Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) has proven to be a diagnostic challenge. Early studies have shown that computed tomography (CT) imaging may be useful in diagnosis of these patients. We aim to report CT findings in a series of hospitalized patients. Material and methods: A total of 81 patients were included in this study. All of the patients were hospitalized and had SARS-CoV-2 infection proven by molecular assay. All patients had a CT scan on the first day of admission. Imaging results were reviewed by two separate radiologists, and imaging findings were documented. Results: Seventy-eight patients had abnormal CT imaging, while 3 had normal CT imaging. The sensitivity of CT in diagnosing coronavirus disease 2019 (COVID-19) was estimated to be 96%. The most common imaging finding was ground glass opacities, followed by septal thickening. Most lesions were located at the periphery and posterior of the lungs. Most lesions were multifocal, and involved the right lower lobe more frequently. Chest X-rays were normal in 38 patients, and the sensitivity of chest X-ray in diagnosing SARS-Cov-2 was 54%. Conclusions: CT scans could be used in diagnosis of patients with a high sensitivity (93%). No common imaging findings may also be seen alongside ground glass opacities, based on the degree of disease progression.
Language	English
Publishing date	2021-03-19
Publishing country	Poland
Document type	Journal Article
ZDB-ID	2675143-4
ISSN	1899-0967 ; 1733-134X
ISSN (online)	1899-0967
ISSN	1733-134X
DOI	10.5114/pjr.2021.104584
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Article ; Online: Serial computed tomography findings of Coronavirus disease 2019 (COVID-19) pneumonia treated with favipiravir and steroid therapy: report of 11 cases.

Irizato, Naoki / Matsuura, Hiroshi / Okada, Atsuya / Ueda, Ken / Yamamura, Hitoshi

Bulletin of the National Research Centre

2021 Volume 45, Issue 1, Page(s) 92

Abstract: Background: This study evaluated the time course of computed tomography (CT) findings of patients ... therapy.: Results: Eleven patients with severe COVID-19 pneumonia were included. CT findings assessed ... distortion and bronchial dilatation were frequent findings. The degree of resolution of GGO varied depending ...

Abstract	Background: This study evaluated the time course of computed tomography (CT) findings of patients with COVID-19 pneumonia who required mechanical ventilation and were treated with favipiravir and steroid therapy. Results: Eleven patients with severe COVID-19 pneumonia were included. CT findings assessed at the three time points showed that all patients had ground-glass opacities (GGO) and consolidation and mixed pattern at intubation. Consolidation and mixed pattern disappeared in most of the patients whereas GGO persisted in all patients at 1-month follow-up. In addition to GGO, a subpleural line and bronchus distortion and bronchial dilatation were frequent findings. The degree of resolution of GGO varied depending on each patient. The GGO score correlated significantly with the time from symptoms onset to initiation of steroid therapy ( Conclusions: At 1-month follow-up after discharge, non-GGO lesions were absorbed almost completely, and GGO were a predominant CT manifestation. Starting steroid therapy earlier after onset of symptoms in severe COVID-19 pneumonia may reduce the extent of GGO at 1-month follow-up.
Language	English
Publishing date	2021-05-19
Publishing country	Germany
Document type	Journal Article
ISSN	2522-8307
ISSN (online)	2522-8307
DOI	10.1186/s42269-021-00553-7
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Article ; Online: Spectrum of Chest Computed Tomography findings of Novel Coronavirus disease 2019 in Medical City in Baghdad, a case series

Atheer Adnan / Salam Joori / Zaid Hammoodi / Haider Ghayad / Ali Ibrahim

مجلة كلية الطب, Vol 62, Iss 1,

2020 Volume 2

Abstract: ... the chest CT findings in patients with confirmed coronavirus disease 2019 (COVID-19) in sample from Baghdad ... investigation & plays an important role in evaluation of Coronavirus Disease 2019. Objective: to describe ... Background: Native chest Computed Tomography (CT) is a quick, non-invasive and practical ...

Abstract	Background: Native chest Computed Tomography (CT) is a quick, non-invasive and practical investigation & plays an important role in evaluation of Coronavirus Disease 2019. Objective: to describe the chest CT findings in patients with confirmed coronavirus disease 2019 (COVID-19) in sample from Baghdad population. Patients & methods: Study sample consisted of 55 patients with laboratory confirmed COVID-19 from 1st March through 15th April 2020. Native chest CT was performed in radiology departments in Medical City Teaching Complex (MCTH). The chest CT images were reviewed & analyzed. Results: The most frequent CT findings were ground-glass opacities (47.3%) & mixed ground glass & consolidation (43.6%). Most lesions were multiple (67.2%), peripheral (56.3%) & bilateral (81.8%). Least common findings were pleural effusion (7.2%) & mediastinal lymphadenopathy (1.8%). Conclusion: The commonest chest CT findings of COVID-19 in Baghdad population were multiple, bilateral, peripheral ground glass opacity & consolidation.
Keywords	Keywords: COVID 19 ; chest CT ; Baghdad ; MCTH ; Medicine ; R ; Medicine (General) ; R5-920 ; covid19
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	College of Medicine University of Baghdad
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: COVID-19 lungs in post-mortem computed tomography.

Kniep, I / Heinemann, A / Edler, C / Sperhake, J P / Püschel, K / Ondruschka, B / Schröder, A S

Rechtsmedizin (Berlin, Germany)

2021 Volume 31, Issue 2, Page(s) 145–147

Abstract: ... of coronavirus disease 2019 (COVID-19). Although computed tomography (CT) shows a high sensitivity for pneumonia ... Post-mortem computed tomography (PMCT) is a rapid and noninvasive diagnostic tool for important ... contributions to the identification of pulmonary findings in the deceased with pneumonia, including cases ...

Abstract	Post-mortem computed tomography (PMCT) is a rapid and noninvasive diagnostic tool for important contributions to the identification of pulmonary findings in the deceased with pneumonia, including cases of coronavirus disease 2019 (COVID-19). Although computed tomography (CT) shows a high sensitivity for pneumonia in living persons, it is relatively unspecific for COVID-19 pneumonia clinically. Typical CT findings for viral pneumonia therefore require confirmation by PCR tests (polymerase chain reaction tests), even if lung infections with severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) show characteristic patterns, most frequently ground glass opacities (GGO) and a combination of GGO and air space consolidations. In the consecutive autopsy series of SARS-CoV‑2 deaths from Hamburg, Germany, the most frequent cause of death was and still is COVID-19 pneumonia. Typical findings were frequently found in the PMCT in SARS-CoV-2-associated deaths, which were taken into account when classifying the death as COVID-19.
Language	English
Publishing date	2021-02-15
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1064911-6
ISSN	0937-9819
ISSN	0937-9819
DOI	10.1007/s00194-021-00462-z
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Article ; Online: Chest computed tomography findings typical of COVID-19 pneumonia in Germany as early as 30 December 2019: a case report.

Petersen, Antonia / Nagel, Sebastian / Hamm, Bernd / Taupitz, Matthias

Journal of medical case reports

2023 Volume 17, Issue 1, Page(s) 117

Abstract: ... etiology and chest computed tomography findings typical of COVID-19 pneumonia.: Conclusion: This case ... Background: The first cases of coronavirus disease 2019 were officially confirmed in Germany and ... may indicate that coronavirus disease 2019 was already spreading in Germany as early as December 2019. ...

Abstract	Background: The first cases of coronavirus disease 2019 were officially confirmed in Germany and its European neighbors in late January 2020. In France and Italy, there is evidence that coronavirus disease 2019 was spreading as early as December 2019. Case presentation: We report on a 71-year-old male patient from Germany who was admitted to our hospital on 30 December 2019 with pneumonia of unclear etiology and chest computed tomography findings typical of COVID-19 pneumonia. Conclusion: This case may indicate that coronavirus disease 2019 was already spreading in Germany as early as December 2019.
MeSH term(s)	Male ; Humans ; Aged ; COVID-19/diagnostic imaging ; SARS-CoV-2 ; Tomography, X-Ray Computed ; Pneumonia/diagnostic imaging ; Germany
Language	English
Publishing date	2023-03-24
Publishing country	England
Document type	Case Reports ; Journal Article
ZDB-ID	2269805-X
ISSN	1752-1947 ; 1752-1947
ISSN (online)	1752-1947
ISSN	1752-1947
DOI	10.1186/s13256-023-03809-0
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Article ; Online: Variable computed tomography appearances of COVID-19.

Lim, Zhan Ye / Khoo, Hau Wei / Hui, Terrence Chi Hong / Kok, Shawn Shi Xian / Kwan, Kenneth Eng Ling / Young, Barnaby Edward / Tan, Cher Heng / Kaw, Gregory Jon Leng

Singapore medical journal

2020 Volume 61, Issue 7, Page(s) 387–391

Abstract: The coronavirus disease 2019 (COVID-19) is typically diagnosed by specific assays that detect viral ... airways. Computed tomography (CT) has been described as a diagnostic modality in the COVID-19 diagnosis ... CT findings should be correlated with duration of symptoms to better determine the disease stage and ...

Abstract	The coronavirus disease 2019 (COVID-19) is typically diagnosed by specific assays that detect viral nucleic acid from the upper respiratory tract; however, this may miss infections involving only the lower airways. Computed tomography (CT) has been described as a diagnostic modality in the COVID-19 diagnosis and treatment plan. We present a case series with virologically confirmed COVID-19 pneumonia. Variable CT features were observed: consolidation with ground-glass opacities, ground-glass opacities with subpleural reticular bands, and an anterior-posterior gradient of lung abnormalities resembling that of acute respiratory distress syndrome. Evolution of CT findings was observed in one patient, where there was interval resolution of bilateral lung consolidation with development of bronchiolectasis and subpleural fibrotic bands. While sensitive for detecting lung parenchymal abnormalities in COVID-19 pneumonia, the use of CT for initial diagnosis is discouraged and should be reserved for specific clinical indications. Interpretation of chest CT findings should be correlated with duration of symptoms to better determine the disease stage and aid in patient management.
MeSH term(s)	Aged ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/diagnosis ; Diagnosis, Differential ; Female ; Humans ; Lung/diagnostic imaging ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/diagnosis ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods
Keywords	covid19
Language	English
Publishing date	2020-04-21
Publishing country	India
Document type	Case Reports ; Journal Article
ZDB-ID	604319-7
ISSN	2737-5935 ; 0037-5675
ISSN (online)	2737-5935
ISSN	0037-5675
DOI	10.11622/smedj.2020066
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Article ; Online: Computed tomography-based COVID-19 triage through a deep neural network using mask-weighted global average pooling.

Zhang, Hong-Tao / Sun, Ze-Yu / Zhou, Juan / Gao, Shen / Dong, Jing-Hui / Liu, Yuan / Bai, Xu / Ma, Jin-Lin / Li, Ming / Li, Guang / Cai, Jian-Ming / Sheng, Fu-Geng

Frontiers in cellular and infection microbiology

2023 Volume 13, Page(s) 1116285

Abstract: ... coronavirus disease 2019 (COVID-19) patients from millions or billions of people. Therefore, this study aimed ... to develop a novel deep-learning approach for COVID-19 triage based on chest computed tomography (CT) images ... including normal, pneumonia, and COVID-19 cases.: Methods: A total of 2,809 chest CT scans (1,105 COVID ...

Abstract	Background: There is an urgent need to find an effective and accurate method for triaging coronavirus disease 2019 (COVID-19) patients from millions or billions of people. Therefore, this study aimed to develop a novel deep-learning approach for COVID-19 triage based on chest computed tomography (CT) images, including normal, pneumonia, and COVID-19 cases. Methods: A total of 2,809 chest CT scans (1,105 COVID-19, 854 normal, and 850 non-3COVID-19 pneumonia cases) were acquired for this study and classified into the training set (n = 2,329) and test set (n = 480). A U-net-based convolutional neural network was used for lung segmentation, and a mask-weighted global average pooling (GAP) method was proposed for the deep neural network to improve the performance of COVID-19 classification between COVID-19 and normal or common pneumonia cases. Results: The results for lung segmentation reached a dice value of 96.5% on 30 independent CT scans. The performance of the mask-weighted GAP method achieved the COVID-19 triage with a sensitivity of 96.5% and specificity of 87.8% using the testing dataset. The mask-weighted GAP method demonstrated 0.9% and 2% improvements in sensitivity and specificity, respectively, compared with the normal GAP. In addition, fusion images between the CT images and the highlighted area from the deep learning model using the Grad-CAM method, indicating the lesion region detected using the deep learning method, were drawn and could also be confirmed by radiologists. Conclusions: This study proposed a mask-weighted GAP-based deep learning method and obtained promising results for COVID-19 triage based on chest CT images. Furthermore, it can be considered a convenient tool to assist doctors in diagnosing COVID-19.
MeSH term(s)	Humans ; COVID-19/diagnostic imaging ; SARS-CoV-2 ; Triage/methods ; Deep Learning ; Retrospective Studies ; Pneumonia/diagnosis ; Neural Networks, Computer ; Tomography, X-Ray Computed/methods
Language	English
Publishing date	2023-03-03
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2619676-1
ISSN	2235-2988 ; 2235-2988
ISSN (online)	2235-2988
ISSN	2235-2988
DOI	10.3389/fcimb.2023.1116285
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