普通型新型冠状病毒肺炎患者首诊临床特征及CT征象纵向演变  

Clinical Features and Longitudinal Evolution of CT Signs of Patients with Ordinary COVID-19 in the First Diagnosis

作　　者：金晨望 张静平[2] 刘慧通[3] 周婕[4] 梁昱栋 曹新山 白璐[2] 张伟杰[2] 杜永浩 杨健[2] 张明[2] 刘军[2] 郭佑民[2] JIN Chenwang;ZHANG Jing-ping;LIU Hui-tong(Department of Medical Imaging,Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine,Xi'an 712000,Shaanxi Province,P.R.C.)

机构地区：[1]陕西中医药大学附属医院医学影像科,陕西省咸阳市712000 [2]西安交通大学第一附属医院医学影像科,陕西省西安市710061 [3]陕西省人民医院骨科,陕西省西安市710068 [4]西安市胸科医院放射科,陕西省西安市710100 [5]渭南市中心医院放射科,陕西省渭南市714000 [6]滨州医学院附属医院放射科,山东省滨州市256600

出　　处：《中国数字医学》2020年第12期102-106,共5页China Digital Medicine

基　　金：陕西省教育厅突发公共卫生安全专项;安康市科学技术研究发展计划-新冠肺炎疫情应急防治专项(编号:AK2019XG-01,AK2019XG-08)。

摘　　要：目的:探讨普通型新型冠状病毒肺炎(COVID-19)患者首诊临床特征及CT特征纵向演变规律,为其诊治提供辅助决策依据。方法:回顾性分析53例普通型COVID-19患者首诊临床资料及纵向CT影像资料,评价病灶性质、分布和病灶严重程度总评分。采用χ^2检验比较CT病变性质变化。结果:53例普通型COVID-19患者中,41例有疫区或感染患者接触史;发热(75.5%)为最常见症状;出现症状后10天内CT上肺内病灶以磨玻璃影(65.7%、40.5%)为主,第11~16天时则以混合性病灶为主(33.6%);第17天以后病灶性质趋于多样化;病灶分布呈两肺多发、肺野后部及外周为主;肺内病灶严重程度总评分在第11~16天达峰值,随后逐渐减低。结论:普通型COVID-19患者CT征象纵向演变存在一定特征性,能够为该疾病的临床诊疗提供决策依据。Objective:To evaluate the preliminary clinical features and CT features evolution on serial computed tomographic(CT)images in patients with ordinary COVID-19.Methods:This retrospective study collects clinical information and serial imaging data of 53 patients with COVID-19.CT images were reviewed for property,distribution and total lung severity score of the lesion.The CT features were compared using χ^2 test.Results:Of the 53 patients,41 patients had a history of the endemic center or infected individual contact.Fever(75.5%)was the most common symptoms.CT images showed predominate ground-grass opacity(65.7%、40.5%)during illness days 0~10 after symptom onset.Mixed pattern peaked(33.6%)on days 11~16.The lesion property became diversity from the illness day 17.The lesions predominately involved the posterior and peripheral part of the lungs.Total lung severity score peaked around illness days 11~16 and then declined.Conclusion:The particular evolution pattern of CT features may play an important role in the management of patient with COVID-19.

关 键 词：新冠肺炎 CT 特征演变 

分 类 号：R445.3[医药卫生—影像医学与核医学]