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  1. Article ; Online: High-resolution CT features of COVID-19 pneumonia in confirmed cases

    Omar, Suzan / Motawea, Abdelghany Mohammed / Yasin, Rabab

    Egyptian Journal of Radiology and Nuclear Medicine

    2020  Volume 51, Issue 1

    Keywords covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2583928-7
    ISSN 2090-4762 ; 0378-603X
    ISSN (online) 2090-4762
    ISSN 0378-603X
    DOI 10.1186/s43055-020-00236-9
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: High-resolution CT features of COVID-19 pneumonia in confirmed cases

    Omar, Suzan / Motawea, Abdelghany Mohammed / Yasin, Rabab

    Egypt. J. Radiol. Nucl. Med.

    Abstract: Background: Coronavirus (COVID-19) pneumonia emerged in Wuhan, China, in December 2019. It was highly contagious spreading all over the world, with a rapid increase in the number of deaths. COVID-19 is characterized by fever, fatigue, dry cough, and ... ...

    Abstract Background: Coronavirus (COVID-19) pneumonia emerged in Wuhan, China, in December 2019. It was highly contagious spreading all over the world, with a rapid increase in the number of deaths. COVID-19 is characterized by fever, fatigue, dry cough, and dyspnea with variable chest imaging features which have been detected. In our study, we shared our experience of CT findings in proven cases of COVID-19 to recognize the different CT patterns to help in proper and accurate diagnosis. Results: The most common CT features detected in COVID-19 cases were ground glass patches (93.3%) followed by subpleural linear abnormality (53.3%), air bronchogram (23.3%), and consolidation patches (23.3%), as well as bronchial wall thickening (16.7%), crazy paving pattern (13.3%), and discrete nodules surrounded by ground glass appearance (10%). Only one case had pleural effusion (3.3%). No cavitary lesions or specific lymph nodes were detected in any of the examined patients. The lung lesions showed typical diffuse, basal, and subpleural involvement with less affection of the upper lobes. Conclusion: CT imaging findings of COVID-19 can help in early and accurate diagnosis of COVID-19 and proper assessment of the severity of the disease.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #649009
    Database COVID19

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  3. Article ; Online: Prognostic Factors for Hormone Sensitive Metastatic Prostate Cancer: Impact of Disease Volume

    Alhanafy, Alshimaa Mahmoud / Zanaty, Fouad / Ibrahem, Reda / Omar, Suzan

    Asian Pacific journal of cancer prevention : APJCP

    2018  Volume 19, Issue 4, Page(s) 1113–1118

    MeSH term(s) Aged ; Aged, 80 and over ; Androgen Antagonists/therapeutic use ; Antineoplastic Agents/therapeutic use ; Disease-Free Survival ; Egypt ; Hormones/therapeutic use ; Humans ; Male ; Middle Aged ; Prognosis ; Proportional Hazards Models ; Prospective Studies ; Prostate-Specific Antigen/metabolism ; Prostatic Neoplasms/drug therapy ; Prostatic Neoplasms/metabolism ; Prostatic Neoplasms/pathology
    Chemical Substances Androgen Antagonists ; Antineoplastic Agents ; Hormones ; Prostate-Specific Antigen (EC 3.4.21.77)
    Language English
    Publishing date 2018-04-27
    Publishing country Thailand
    Document type Journal Article ; Observational Study
    ISSN 2476-762X
    ISSN (online) 2476-762X
    DOI 10.22034/APJCP.2018.19.4.1113
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Learning from pathophysiological aspects of COVID-19 clinical, laboratory, and high-resolution CT features: a retrospective analysis of 128 cases by disease severity.

    Azab, Sameh Mostafa / Zytoon, Ashraf Anas / Kasemy, Zeinab Abdel Aziz / Omar, Suzan Fouad / Ewida, Suzy Fayez / Sakr, Karim Ayman / Ella, Tarek Fawzy Abd

    Emergency radiology

    2021  Volume 28, Issue 3, Page(s) 453–467

    Abstract: Background: The classic chest CT imaging features of COVID-19 pneumonia have low specificity due to their similarity with a number of other conditions. So, the goal of the present study is to learn from the pathophysiology of COVID-19 clinical features, ...

    Abstract Background: The classic chest CT imaging features of COVID-19 pneumonia have low specificity due to their similarity with a number of other conditions. So, the goal of the present study is to learn from the pathophysiology of COVID-19 clinical features, laboratory results, and high-resolution CT manifestations in different stages of disease severity to provide significant reference values for diagnosis, prevention, and treatment.
    Methods: This was a multicentered study that included 128 patients. Demographic, clinical, and laboratory data, in addition to chest HRCT findings, were evaluated. According to chest HRCT features, radiologic scoring were grade 1 and 2 for mild grades of the disease, 3 and 4 for moderate grades of the disease, and 5 and 6 for severe grades of the disease.
    Results: Patient clinical symptoms ranged between fever, dry cough, muscle ache (myalgia)/fatigue, dyspnea, hyposomia, sore throat, and diarrhea. Lymphocytes and WBCs were significantly lower in patients with severe COVID-19. A significant negative correlation was found with WBCs (r = - 0.245, P = 0.005), lymphocytes% (r = - 0.586, P < 0.001), RBCs (r = - 0.2488, P = 0.005), Hb (gm/dl) (r = - 0.342, P < 0.001), and HCT (r = - 0.377, P < 0.001). Transferrin and CRP were significantly higher in moderate and severe COVID-19 than mild degree and showed a significant positive correlation with CT score (r = 0.356, P < 0.001) and (r = 0.429, P < 0.001), respectively. The most common CT features were peripheral pulmonary GGO and air space consolidation.
    Conclusion: Clinical features, laboratory assessment, and HRCT imaging had their characteristic signs and performances. Correlating them can make it possible for physicians and radiologists to quickly obtain the final diagnosis and staging of the COVID-19 pneumonia.
    MeSH term(s) Adolescent ; Adult ; Aged ; Biomarkers/analysis ; COVID-19/diagnostic imaging ; Female ; Humans ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Pneumonia, Viral/virology ; Retrospective Studies ; SARS-CoV-2 ; Severity of Illness Index ; Tomography, X-Ray Computed
    Chemical Substances Biomarkers
    Language English
    Publishing date 2021-01-08
    Publishing country United States
    Document type Journal Article ; Multicenter Study
    ZDB-ID 1425144-9
    ISSN 1438-1435 ; 1070-3004
    ISSN (online) 1438-1435
    ISSN 1070-3004
    DOI 10.1007/s10140-020-01875-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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