CT肺内病灶定量检测技术在新型冠状病毒肺炎诊疗中的应用

Application of CT quantitative detection of pulmonary lesions in diagnosis and treatment of COVID-19

目的探索CT肺内病灶定量检测技术在新型冠状病毒肺炎(COVID-19)诊疗中的应用。方法选择衢州市人民医院2020年1月-4月收治的14例COVID-19患者,分别于患者入院时、疾病发展期、恢复期和吸收期进行胸部扫描检查,将CT薄层扫描数据导入东芝Vitrea FX工作站,利用肺内病灶定量检测功能测量肺炎病灶的总体容积、最大径、最大密度、平均密度,并利用可视化技术,立体展示病变的分布和范围。结果比较入组患者四次CT检查结果可知,不同时期患者病灶体积、最大密度和最大径具有明显差异,且两两比较均具有统计学意义,第二次CT检查患者病灶体积、最大密度和最大径高于其他三次,第四次CT检查患者病灶体积、最大密度和最大径低于其他三次,比较均具有统计学意义(P<0.05)。结论肺内病灶CT定量检测技术能很好地量化COVID-19在肺内病灶的总体容积、最大径、密度、分布范围等信息,并能连续观测病程转归,提示临床医生该患者当期处于何种病变期,以及时调整治疗方案。

OBJECTIVE To explore the value of CT quantitative detection of pulmonary lesions in diagnosis and treatment of COVID-19. METHODS A total of 14 patients with COVID-19 who were treated in Quzhou People’s Hospital from Jan 2020 to Apr 2020 were enrolled in the study and received chest scanning examination at the admission, progression stage of disease, recovery stage and absorption stage, the CT thin-slice scan data were imported into Toshiba Vitrea FX workstation, and the total volume, maximum diameter, maximum density and average density of pulmonary lesions were measured by using the quantitative detection function of lung lesions, and the distribution and scope of lesions were displayed in three dimensions by means of visualization technology. RESULTS The results of the four times of CT examination showed that there were between-group significant differences in the volume of lesions, maximum density and maximum diameter during the different time periods. The volume of lesions, maximum density and maximum diameter of the patients who received the second CT examination were significantly higher than those of the patients who received other three times of CT examination;the volume of lesions, maximum density and maximum diameter of the patients who received the fourth CT examination were significantly lower than those of the patients who received other three times of CT examination(P<0.05). CONCLUSION The CT quantitative detection technology of lung lesions can quantify the information of lung lesions such as the total volume, maximum diameter, density, distribution and scope, continuously observe the course of disease and indicate the stage of lesions for clinicians so as to adjust the treatment program in a timely manner.