关键词: 新型冠状病毒肺炎, 疾病特征, 体层摄影术,X线计算机, 诊断显像, 评价研究(主题)

Abstract:

Novel coronavirus pneumoia, also named by corona virus disease 2019 (COVID-19) according to WHO, is a highly infectious pulmonary inflammatory disease. The author adopted the cluster sampling method to collect 185 positive cases of nucleic acid from the patients diagnosed with COVID-19 in Wuhan Pulmonary Hospital for statistical analysis. The discovery and naming of COVID-19, nucleic acid detection, clinical manifestations, CT characteristics and diagnostic value were to be comprehensively analyzed. The data in this group showed that 157 (84.9%) of the 185 patients with fever were mainly low-grade fever, and only 8 (4.3%) of those with high fever above 39.0 ℃. Weakness, joint acidity, swelling, and pain in both lower limbs were presented in 58 patients (31.4%); There were 142 cases (76.8%) with discontinuous cough with less phlegm and chest distress. The main CT imaging features were multiple patchy, patchy and large patches ground-glass shadows and interstitial changes. Most of the lesions were distributed in the lower lobe and in the outer zone of both lungs. The thickened pulmonary vascular marking was obvious in lesions and the lesion was progressing rapidly. According to the characteristics of CT imaging,the accuracy of imaging diagnosis of COVID-19 was as high as 87.0% when as a first diagnostic tool. Therefore, CT examination has a very important value in the diagnosis of COVID-19. Meanwhile, it plays an irreplaceable role in evaluating the severity of pulmonary lesions, dynamic changes during treatment, and follow-up observation of patients in recovery phase.

Key words: Coronavirus disease 2019(COVID-19), Disease attributes, Tomography, X-Ray computed, Diagnostic imaging, Evaluation studies as topic