Analyzing the early ct findings and clinical features of 12 patients with 2019 novel coronavirus disease (covid-19) in China
المؤلفون المشاركون
Sheng, Liang
Shen, Jianming
Yang, Tiejun
Feng, Jihong
Xia, Xianwu
Zhang, Guobing
Ding, Li
المصدر
Iranian Red Crescent Medical Journal
العدد
المجلد 22، العدد 4 (30 إبريل/نيسان 2020)، ص ص. 1-10، 10ص.
الناشر
تاريخ النشر
2020-04-30
دولة النشر
الإمارات العربية المتحدة
عدد الصفحات
10
التخصصات الرئيسية
العلوم الطبية والصيدلة والعلوم الصحية
الملخص EN
Background: Regarding the outbreak of highly contagious the 2019 Novel Coronavirus (2019-nCoV) in various countries and re- gions, data have been needed on the early chest CT images and clinical characteristics of the affected patients.
Objectives: To explore the early clinical and computed tomography (CT) characteristics of the 2019 Novel Coronavirus Disease (COVID-19) patients to improve the diagnostic level of this contagious respiratory disease.
Methods: An analysis retrospectively was implemented on the radiological features and clinical characteristics of 12 patients with COVID-19 who had undergone chest CT scanning in the designated hospital from Jan 23, 2020, to Feb 18, 2020.
The clinical data on general information, epidemiological, cardinal symptoms, blood test, and CT imaging characteristics were obtained.
Results: According to the relevant diagnostic criteria, the patients were divided into two groups: mild (2 cases), and ordinary type (10 cases).
The main symptoms of 2019-nCoV pneumonia were fever (9/12) and cough (8/12) with or without respiratory and other systemic symptoms.
The blood test of the patients showed that most of the white blood cell count was normal (10/12), decreased lymphocyte count (6/12), and increased hypersensitive C reactive protein (hs-CRP) (5/12).
In the early stage of COVID-19, the chest CT images showed patchy mixed ground-glass opacity (GGO) (8/12), mainly distributed in the periphery and posterior part of both lungs.
The internal density of image lesion area was uneven, and lesions primarily manifested as “crazy-paving pattern” (8/12), with grid-like, interlobular septal thickening, thickened bronchovascular bundle and air bronchus sign andmultiple fibrosis.
A few cases showed pulmonary atelectasis (1/12), bilateral pleural effusion (1/12), no mediastinal or bilateral hilar lymph node enlargement.
Conclusions: The clinical characteristics of 2019-nCoV pneumonia are similar to those of common viral pneumonia.
The chest CT images may be helpful for the early detection of novel coronavirus pneumonia.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xia, Xianwu& Sheng, Liang& Yang, Tiejun& Ding, Li& Shen, Jianming& Feng, Jihong…[et al.]. 2020. Analyzing the early ct findings and clinical features of 12 patients with 2019 novel coronavirus disease (covid-19) in China. Iranian Red Crescent Medical Journal،Vol. 22, no. 4, pp.1-10.
https://search.emarefa.net/detail/BIM-1439434
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ding, Li…[et al.]. Analyzing the early ct findings and clinical features of 12 patients with 2019 novel coronavirus disease (covid-19) in China. Iranian Red Crescent Medical Journal Vol. 22, no. 4 (Apr. 2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1439434
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xia, Xianwu& Sheng, Liang& Yang, Tiejun& Ding, Li& Shen, Jianming& Feng, Jihong…[et al.]. Analyzing the early ct findings and clinical features of 12 patients with 2019 novel coronavirus disease (covid-19) in China. Iranian Red Crescent Medical Journal. 2020. Vol. 22, no. 4, pp.1-10.
https://search.emarefa.net/detail/BIM-1439434
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 9-10
رقم السجل
BIM-1439434
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر