目的 探讨智能定位CT在新型冠状病毒肺炎（Coronavirus Disease 2019，COVID-19）筛查中的应用价值。方法 收集 2020年2月17日至29日我院胸部CT检查的患者166例。采用随机数字表法分为A、B两组，A组为实验组，采用智能定位技术 进行胸部CT检查，B组为对照组，采用人工定位方法进行胸部CT检查。比较两组图像起始偏移、前后偏移、左右偏移，图 像肺实质和主动脉SNR、CNR、主观评分以及辐射剂量指标，医患接触时间与次数，技师扫描体验等指标。结果 A、B两 组起始偏移、前后偏移、左右偏移之间差异有统计学意义（P<0.05）；肺实质和气管分叉平面降主动脉的SNR、CNR、图 像主观评分、辐射剂量均无统计学差异（P>0.05）；A组医患无接触，B组医患接触约60 s/例；使用智能定位技术的技师认 为操作简单快捷，更有利于自身防护，减少交叉感染的风险。结论 在COVID-19疫情期间，对行动自理患者采用智能定位 技术进行CT检查，可在保证图像质量及效率的基础上大幅度降低交叉感染风险，值得广泛推广和应用。

Objective To explore the application value of intelligent localization technology of CT for coronavirus disease 2019 (COVID-19). Methods A total of 166 patients for chest CT scan in our hospital from February 17 to 29, 2020 were enrolled, who were randomly divided into test A group and control B group. Patients in A group were scaned by intelligent positioning technology, while patients in B group were scaned by manual positioning method. The images of the two groups were compared in terms of initial shift, forward-backward shift, left-right shift, image lung parenchyma and aortic SNR, CNR, subjective score, radiation dose index, time and frequency of doctor-patient contacting, and technician scanning experience. Results There were statistically significant differences in the initial shift, forward to backward shift, and left to right shift between the two groups (P<0.05). There were no statistically significant differences in SNR, CNR, image subjective score and radiation dose of lung parenchyma and tracheal bifurcation plane descending aorta (P>0.05). There was no contact between doctors and patients in A group, and about 60 seconds per patient in B group. Technicians who used intelligent positioning technology thought that the operation was simple and quick, which was more conducive to self-protection and reduced crossover risk of infection. Conclusion During the epidemic of COVID-19, using intelligent localization technology during CT examination for patients, who can move freely, can reduce the risk of cross-infection. This method does not reduce image quality and efficiency, which is worthy of widespread application.