新型冠状病毒肺炎CT表现及相关临床问题分析  被引量:1

Analysis of CT Manifestations and Related Clinical Problems of COVID-2019 Pneumonia

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作  者:白玉萍 Maswikiti Ewetse Paul 齐文博 刘乐[2] 刘乾 尹振宇 李晓梅 陈昊[3,4] BAI Yu-ping;Maswikiti Ewetse Paul;QI Wen-bo;LIU Le;LIU Qian;YIN Zhen-yu;LI Xiao-mei;CHEN Hao(The Department of MR,Lanzhou University Second Hospital;The Second Clinical Medical College of Lanzhou University;The Department of Tumor Surgery,Lanzhou University Second Hospital;The Key Laboratory of the Digestive System Tumors of Gansu Province,Lanzhou University Second Hospital)

机构地区:[1]兰州大学第二医院核磁共振科 [2]兰州大学第二临床医学院 [3]兰州大学第二医院肿瘤外科 [4]兰州大学第二医院消化系统肿瘤重点实验室

出  处:《中国医学计算机成像杂志》2020年第5期469-472,共4页Chinese Computed Medical Imaging

基  金:国家自然科学基金项目NO 81670594,81470791,81376597;甘肃省科技重大专项NO19ZD2WA001。

摘  要:目前针对新冠状病毒肺炎(COVID-19)疫苗和抗病毒药物都还在临床试验过程当中,早发现早隔离对防治至关重要。病毒核酸检测阳性是诊断COVID-19的金标准,但阳性率仅为30%~50%,而且检测时间长。胸部CT检查简便快捷,不仅能早期发现病灶,还能判定病灶范围及评估疗效。目前资料显示新型冠状病毒(SARS-CoV-2)与SARS相关冠状病毒(SARSr-CoV)同为冠状病毒家族,病理及影像表现具有相似性。本文结合既往SARS相关文献对本病上述CT表现进行归纳总结并推测其潜在的影像病理机制,为临床早期诊断、及时评估病情、准确判断预后提供更加精准的影像依据。The vaccine and antiviral drugs for new coronavirus disease 2019(COVID-2019)are still in clinical trials,and early detection and isolation is very important for prevention and treatment.The positive rate of viral nucleic acid is only 30%-50%and the detection time is long.Chest CT examination is simple and fast.It can not only be used to detect the lesion early,but also judge the scope of the lesion and evaluate the curative effect.At present,the data show that the new coronavirus(SARS-CoV-2)and the SARS related coronavirus(SARS-CoV)are the same coronavirus family,and their pathological and imaging manifestations are similar.In this paper,we reviewed the literatures regarding SARS and summarized the above CT manifestations of COVID-19,and speculated its potential imaging pathological mechanism of COVID-19,so as to provide more accurate imaging basis for early clinical diagnosis,timely assessment of the severity disease and prediction of accurate prognosis.

关 键 词:新型冠状病毒肺炎 体层摄影术 X线计算机 临床问题 

分 类 号:R445.3[医药卫生—影像医学与核医学]

 

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