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[33例2019新型冠状病毒感染的CT影像分析]

[CT imaging analysis of 33 cases with the 2019 novel coronavirus infection].

作者信息

Liu R R, Zhu Y, Wu M Y, Liu J, Ren R, Cao Q L, Shen X H, Chen G Q, Li M

机构信息

Department of Radiology, the Affiliated Infectious Diseases Hospital of Soochow University, the Fifth People's Hospital of Suzhou, Suzhou 215000, China.

Department of Radiology, the Second Affiliated Hospital, Soochow University, Suzhou 215000, China.

出版信息

Zhonghua Yi Xue Za Zhi. 2020 Apr 7;100(13):1007-1011. doi: 10.3760/cma.j.cn112137-20200203-00182.

Abstract

To explore the CT imaging features of the 2019 novel coronavirus (2019-nCoV) infection in order to summarize the imaging characteristics of the disease and improve the ability of imaging diagnosis and early diagnosis of the disease. From January 13, 2020 to January 31, 2020, a total of 33 patients with 2019-nCoV infection diagnosed and treated by Suzhou Fifth People's Hospital were analyzed retrospectively, including 20 males and 13 females, with an average age of (50±12) years, ranging from 20 to 70 years old. There were 3 cases of mild type, 27 cases of common type and 3 cases of severe type.There were 2 cases with hypertension, 1 case with postoperative lung,1 case with diabetes, 1 case with chronic bronchitis, and 1 case with bronchiectasis.SPSS25.0 Chi-square test was used to analyze the distribution of lesions in each lung lobe; SPSS25.0 Spearman correlation coefficient was used to analyze the image score and clinical classification. There were 3 cases (9.1%) with normal lung and 30 cases (90.9%) with Novel Coronavirus Pneumonia(COVID-19) of the 2019-nCoV infected patients. In the distribution of COVID-19, 29 cases (87.9%) were involved in bilateral lung and 1 case (3.0%) in unilateral lung. There was no statistically significant difference in the distribution of lesions in each lobe. The correlation coefficient between the degree of lesion distribution and clinical classification was 0.819, and the two were highly correlated.There were 30 cases (90.9%) with subpleural lesions, 17 cases (51.5%) with central lesions. There were many kinds of lesions, 25 cases (75.8%) had ground glass density shadow, 16 cases (48.5%) had consolidation, 12 cases (36.4%) had interstitial change, and 18 cases (54.5%) had interlobular septal thickening. Among the 22 cases, 10 cases had more lesions, 6 cases had no changes and 6 cases had less lesions. Most of the patients with 2019-nCoV infection have pulmonary inflammation.CT manifestations include multiple parts, subpleural area or middle and lateral field of lung, ground glass shadow and consolidation, or coexistence. Some cases have pleural thickening or interlobular septal thickening. CT images can indicate the diagnosis of COVID-19 and provide important basis for early detection and disease monitoring.

摘要

探讨2019新型冠状病毒(2019-nCoV)感染的CT影像特征,以总结该疾病的影像特点,提高对该疾病的影像诊断及早期诊断能力。回顾性分析2020年1月13日至2020年1月31日苏州第五人民医院收治的33例确诊并治疗的2019-nCoV感染患者,其中男性20例,女性13例,平均年龄(50±12)岁,年龄范围20至70岁。轻型3例,普通型27例,重型3例。合并高血压2例,肺术后1例,糖尿病1例,慢性支气管炎1例,支气管扩张1例。采用SPSS25.0卡方检验分析各肺叶病变分布情况;采用SPSS25.0 Spearman相关系数分析影像评分与临床分型相关性。2019-nCoV感染患者中,肺正常3例(9.1%),新型冠状病毒肺炎(COVID-19)30例(90.9%)。COVID-19分布中,双侧肺受累29例(87.9%),单侧肺受累1例(3.0%)。各叶病变分布差异无统计学意义。病变分布程度与临床分型的相关系数为0.819,两者高度相关。胸膜下病变30例(90.9%),中央型病变17例(51.5%)。病变种类多样,磨玻璃密度影25例(75.8%),实变16例(48.5%),间质改变12例(36.4%),小叶间隔增厚18例(54.5%);22例中,病变较多10例,无变化6例,病变较少6例;2019-nCoV感染患者多数有肺部炎症,CT表现为多部位、胸膜下区或肺中外带,磨玻璃影与实变影,或两者并存;部分病例有胸膜增厚或小叶间隔增厚。CT影像可提示COVID-19诊断,为早期发现及病情监测提供重要依据。

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