33例新型冠状病毒感染患者的肺部CT影像学分析  

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

作　　者：刘荣荣 朱怡[1] 吴敏昱 刘静[1] 任荣[1] 曹巧玲 沈兴华[1] 陈光强[2] 李敏[1] Liu Rongrong;Zhu Yi;Wu Minyu;Liu Jing;Ren Rong;Cao Qiaoling;Shen Xinghua;Chen Guangqiang;Li Min(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)

机构地区：[1]苏州大学附属传染病医院(苏州市第五人民医院)放射科,苏州215000 [2]苏州大学附属第二医院影像科,苏州215000

出　　处：《中华医学杂志》2020年第13期1007-1011,共5页National Medical Journal of China

基　　金：苏州市新型冠状病毒感染应急防治科技专项(SYS2020022);感染性疾病临床医学中心(Szzx201508)。

摘　　要：目的探讨新型冠状病毒(2019-nCoV)感染患者的肺部CT影像表现,总结其影像特征,提高对该病肺部影像诊断能力。方法回顾性分析2020年1月13至31日苏州市第五人民医院诊治的33例2019-nCoV感染患者,男20例、女13例,年龄20~70(50±12)岁。轻型3例,普通型27例,重型3例。其中合并高血压2例,肺部术后、糖尿病、慢性支气管炎、支气管扩张各1例。运用SPSS 25.0软件对各肺叶分布及分布范围与临床相关性进行统计学分析。结果2019-nCoV感染者肺部无异常3例(9.1%),新型冠状病毒肺炎(COVID-19)30例(90.9%)。COVID-19在分布上累及双肺29例(87.9%),累及单侧1例(3.0%)。病变在各肺叶分布的差异无统计学意义,病变分布范围与临床分型之间相关系数为0.819,两者具有高度相关。胸膜下区病变30例(90.9%),其中合并中央区同时存在17例(51.5%)。病变表现为多种病变及合并存在,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例复查者,病变增多10例,病变无变化6例,病变减少6例。结论2019-nCoV感染者多有肺部炎症,CT表现为多部位、胸膜下区或外中带多见、磨玻璃密度和实变多见或共存;部分合并胸膜增厚或小叶间隔增厚。CT影像能够提示COVID-19诊断,对早期发现和病情监测提供重要依据。Objective 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.Methods 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.Results 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.Conclusion 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 cons

关 键 词：2019-新型冠状病毒 肺 肺炎 体层摄影术 X线计算机 

分 类 号：R816[医药卫生—放射医学] R56[医药卫生—临床医学] R51