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  1. Article ; Online: Typical radiological progression and clinical features of patients with coronavirus disease 2019.

    Wang, Min / Guo, Linghong / Chen, Qi / Xia, Guojin / Wang, Bo

    Aging

    2020  Volume 12, Issue 9, Page(s) 7652–7659

    Abstract: We aimed to describe typical radiological features and progression of Coronavirus disease 2019 ... thickening (11/66, 17%), and consolidation (7/66, 11%) were also observed. The typical radiology features ... COVID-19) patients. We reviewed the chest CT scans, laboratory findings, and clinical records of 66 ...

    Abstract We aimed to describe typical radiological features and progression of Coronavirus disease 2019 (COVID-19) patients. We reviewed the chest CT scans, laboratory findings, and clinical records of 66 COVID-19 patients who were admitted to affiliated hospitals of Nanchang university, Nanchang, China, from Jan 21 to Feb 2, 2020. CT was used to evaluate the radiological characteristics of COVID-19 patients. Only 4 patients (4/66, 6%) claimed their exposure to COVID-19 pneumonia patients. The major symptoms were fever (60/66, 91%) and cough (37/66, 56%). The predominant features of lesion were scattered (43/66, 65%), bilateral (50/66, 76%), ground-glass opacity (64/66, 97%), and air bronchogram sign (47/66, 71%). Forty-eight patients (48/66, 73%) had more than two lobes involved. Right lower lobe (58/66, 88%) and left lower lobe (49/66, 74%) were most likely invaded. Twelve patients (12/66, 18%) had at least one comorbid condition. Pleural traction (29/66, 44%), crazy paving (15/66, 23%), interlobular septal thickening (11/66, 17%), and consolidation (7/66, 11%) were also observed. The typical radiology features of COVID-19 patients are scattered ground-glass opacity in the bilateral lobes. Fever and cough are the major symptoms. Evaluating chest CT, clinical symptoms, and laboratory results could facilitate the early diagnosis of COVID-19, and judge disease progression.
    MeSH term(s) Betacoronavirus/isolation & purification ; COVID-19 ; Coronavirus Infections/diagnostic imaging ; Coronavirus Infections/epidemiology ; Coronavirus Infections/pathology ; Coronavirus Infections/virology ; Disease Progression ; Humans ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/pathology ; Pneumonia, Viral/virology ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods
    Keywords covid19
    Language English
    Publishing date 2020-05-02
    Publishing country United States
    Document type Journal Article
    ISSN 1945-4589
    ISSN (online) 1945-4589
    DOI 10.18632/aging.103170
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Typical radiological progression and clinical features of patients with coronavirus disease 2019

    Wang, Min / Guo, Linghong / Chen, Qi / Xia, Guojin / Wang, Bo

    Aging (Albany NY)

    Abstract: We aimed to describe typical radiological features and progression of Coronavirus disease 2019 ... thickening (11/66, 17%), and consolidation (7/66, 11%) were also observed. The typical radiology features ... COVID-19) patients. We reviewed the chest CT scans, laboratory findings, and clinical records of 66 ...

    Abstract We aimed to describe typical radiological features and progression of Coronavirus disease 2019 (COVID-19) patients. We reviewed the chest CT scans, laboratory findings, and clinical records of 66 COVID-19 patients who were admitted to affiliated hospitals of Nanchang university, Nanchang, China, from Jan 21 to Feb 2, 2020. CT was used to evaluate the radiological characteristics of COVID-19 patients. Only 4 patients (4/66, 6%) claimed their exposure to COVID-19 pneumonia patients. The major symptoms were fever (60/66, 91%) and cough (37/66, 56%). The predominant features of lesion were scattered (43/66, 65%), bilateral (50/66, 76%), ground-glass opacity (64/66, 97%), and air bronchogram sign (47/66, 71%). Forty-eight patients (48/66, 73%) had more than two lobes involved. Right lower lobe (58/66, 88%) and left lower lobe (49/66, 74%) were most likely invaded. Twelve patients (12/66, 18%) had at least one comorbid condition. Pleural traction (29/66, 44%), crazy paving (15/66, 23%), interlobular septal thickening (11/66, 17%), and consolidation (7/66, 11%) were also observed. The typical radiology features of COVID-19 patients are scattered ground-glass opacity in the bilateral lobes. Fever and cough are the major symptoms. Evaluating chest CT, clinical symptoms, and laboratory results could facilitate the early diagnosis of COVID-19, and judge disease progression.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #185614
    Database COVID19

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  3. Article ; Online: High-resolution CT features of the COVID-19 infection in Nanchong City: Initial and follow-up changes among different clinical types.

    Jiang, Yuting / Guo, Dandan / Li, Chunping / Chen, Tianwu / Li, Rui

    Radiology of infectious diseases (Beijing, China)

    2020  Volume 7, Issue 2, Page(s) 71–77

    Abstract: ... disease 2019 (COVID-19) patients among different clinical types on initial and follow-up CT.: Methods ... enrolled. All patients underwent initial and follow-up chest HRCT. The main CT features and semi ... and GGOs. Critical cases showed progression of the disease. The extent and progression scores ...

    Abstract Objective: To discuss the high resolution computed tomography (HRCT) manifestations of coronavirus disease 2019 (COVID-19) patients among different clinical types on initial and follow-up CT.
    Methods: Seven COVID-19 patients admitted to the Affiliated Hospital of North Sichuan Medical Collage were enrolled. All patients underwent initial and follow-up chest HRCT. The main CT features and semi-quantitative score which represent disease severity among different clinical types were evaluated.
    Result: On initial CT, the main abnormalities observed in common and severe cases respectively were pure ground glass opacities (GGOs) and patchy consolidation surrounded by GGOs. Critical cases had multiple consolidation surrounded by wide range of GGOs distributed in the whole lung fields. The scope and density score in common (4.5 and 5), severe (9.5 and 9.5) and critical (19 and 12) cases were increased by gradient. On follow-up CT, common and severe types manifested as decreasing density of lesion, absorbed consolidation and GGOs. Critical cases showed progression of the disease. The extent and progression scores in common and severe patients were significantly decreased, while the range score of patients with critical disease reached the highest points, accompanied with an increase in the density score.
    Conclusion: CT scanning can accurately assess the severity of COVID-19, and help to monitor disease transformation during follow-up among different clinical conditions.
    Keywords covid19
    Language English
    Publishing date 2020-05-13
    Publishing country China
    Document type Journal Article
    ISSN 2352-622X
    ISSN (online) 2352-622X
    DOI 10.1016/j.jrid.2020.05.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: CT imaging features of different clinical types of COVID-19 calculated by AI system: a Chinese multicenter study.

    Hu, Xiaofei / Zeng, Wenbing / Zhang, Yuhan / Zhen, Zhiming / Zheng, Yalan / Cheng, Lin / Wang, Xianqi / Luo, Haoran / Zhang, Shu / Wu, Zifeng / Sun, Zeyu / Li, Xiuli / Cao, Yang / Xu, Ming / Wang, Jian / Chen, Wei

    Journal of thoracic disease

    2020  Volume 12, Issue 10, Page(s) 5336–5346

    Abstract: ... according to their clinical manifestations. The total CT severity score and quantitative CT features were ... CT imaging features of different types were analyzed.: Results: It was observed that patients ... of coronavirus disease 2019 (COVID-19) pneumonia based on a Chinese multicenter dataset using ...

    Abstract Background: The study is designed to explore the chest CT features of different clinical types of coronavirus disease 2019 (COVID-19) pneumonia based on a Chinese multicenter dataset using an artificial intelligence (AI) system.
    Methods: A total of 164 patients confirmed COVID-19 were retrospectively enrolled from 6 hospitals. All patients were divided into the mild type (136 cases) and the severe type (28 cases) according to their clinical manifestations. The total CT severity score and quantitative CT features were calculated by AI pneumonia detection and evaluation system with correction by radiologists. The clinical and CT imaging features of different types were analyzed.
    Results: It was observed that patients in the severe type group were older than the mild type group. Round lesions, Fan-shaped lesions, crazy-paving pattern, fibrosis, "white lung", pleural thickening, pleural indentation, mediastinal lymphadenectasis were more common in the CT images of severe patients than in the mild ones. A higher total lung severity score and scores of each lobe were observed in the severe group, with higher scores in bilateral lower lobes of both groups. Further analysis showed that the volume and number of pneumonia lesions and consolidation lesions in overall lung were higher in the severe group, and showed a wider distribution in the lower lobes of bilateral lung in both groups.
    Conclusions: Chest CT of patients with severe COVID-19 pneumonia showed more consolidative and progressive lesions. With the assistance of AI, CT could evaluate the clinical severity of COVID-19 pneumonia more precisely and help the early diagnosis and surveillance of the patients.
    Keywords covid19
    Language English
    Publishing date 2020-10-14
    Publishing country China
    Document type Journal Article
    ZDB-ID 2573571-8
    ISSN 2077-6624 ; 2072-1439
    ISSN (online) 2077-6624
    ISSN 2072-1439
    DOI 10.21037/jtd-20-1584
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: High-resolution CT features of the COVID-19 infection in Nanchong City

    Yuting Jiang / Dandan Guo / Chunping Li / Tianwu Chen / Rui Li

    Radiology of Infectious Diseases, Vol 7, Iss 2, Pp 71-

    Initial and follow-up changes among different clinical types

    2020  Volume 77

    Abstract: ... disease 2019 (COVID-19) patients among different clinical types on initial and follow-up CT. Methods ... enrolled. All patients underwent initial and follow-up chest HRCT. The main CT features and semi ... and GGOs. Critical cases showed progression of the disease. The extent and progression scores ...

    Abstract Objective: To discuss the high resolution computed tomography (HRCT) manifestations of coronavirus disease 2019 (COVID-19) patients among different clinical types on initial and follow-up CT. Methods: Seven COVID-19 patients admitted to the Affiliated Hospital of North Sichuan Medical Collage were enrolled. All patients underwent initial and follow-up chest HRCT. The main CT features and semi-quantitative score which represent disease severity among different clinical types were evaluated. Result: On initial CT, the main abnormalities observed in common and severe cases respectively were pure ground glass opacities (GGOs) and patchy consolidation surrounded by GGOs. Critical cases had multiple consolidation surrounded by wide range of GGOs distributed in the whole lung fields. The scope and density score in common (4.5 and 5), severe (9.5 and 9.5) and critical (19 and 12) cases were increased by gradient. On follow-up CT, common and severe types manifested as decreasing density of lesion, absorbed consolidation and GGOs. Critical cases showed progression of the disease. The extent and progression scores in common and severe patients were significantly decreased, while the range score of patients with critical disease reached the highest points, accompanied with an increase in the density score. Conclusion: CT scanning can accurately assess the severity of COVID-19, and help to monitor disease transformation during follow-up among different clinical conditions.
    Keywords 2019 novel coronavirus disease (COVID-19) ; Computed tomography ; SARS-CoV-2 ; Follow-up ; 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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