Computed tomography surveillance helps tracking COVID-19 outbreak
Computed tomography surveillance helps tracking COVID-19 outbreak
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DOI：
10.1007/s11604-020-01026-z
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发表时间：
2020-08-07
影响因子：
2.1
通讯作者：
Imai, Yutaka
中科院分区：
文献类型：
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作者：
Machitori, Akihiro;Noguchi, Tomoyuki;Imai, Yutaka
目的揭示计算机断层扫描监测程序（CT监测）可以显示COVID-19感染的流行病学特征，同时使用临床CT数据调查CT结果的类型和频率。材料与方法我们的目标是可能的病毒性肺炎的CT表现的个人。我们使用在线问卷，要求日本认证的放射科医生登记患者的信息，包括患者的年龄和性别，CT检查日期，COVID-19感染的PCR检测结果，CT结果以及进行CT的医疗机构的邮政编码。我们比较了CT监测和PCR阳性患者监测（PCR监测）的日间患者数量和登记的累积区域分布图。结果2020年1月1日至4月17日共登记CT监测患者637例。他们的PCR检测结果为阳性（n = 62.5-398%）、阴性（n = 8.9-57%）、未知（n = 26.2-167%）和其他疾病（n = 2.4-15%）。在CT监测中观察到60-69岁的年龄高峰和男性主导。最常见的CT表现是双侧分布的磨玻璃样阴影。由CT监测的昼夜数量和累积区域分布图显示出与PCR监测所揭示的趋势相似的趋势。结论利用临床CT资料，CT监测项目描述了COVID-19感染的流行病学特征。
Purpose To reveal that a computed tomography surveillance program (CT-surveillance) could demonstrate the epidemiologic features of COVID-19 infection and simultaneously investigate the type and frequency of CT findings using clinical CT data. Materials and methods We targeted individuals with possible CT findings of viral pneumonia. Using an online questionnaire, we asked Japanese board-certified radiologists to register their patients' information including patient age and sex, the CT examination date, the results of PCR test for COVID-19 infection, CT findings, and the postal code of the medical institution that performed the CT. We compared the diurnal patient number and the cumulative regional distribution map of registrations in CT-surveillance to those of the PCR-positive patient surveillance (PCR-surveillance). Results A total of 637 patients was registered from January 1 to April 17, 2020 for CT-surveillance. Their PCR test results were positive (n = 62.5-398%), negative (n = 8.9-57%), unknown (n = 26.2-167%), and other disease (n = 2.4-15%). An age peak at 60-69 years and male dominance were observed in CT-surveillance. The most common CT finding was bilaterally distributed ground-glass opacities. The diurnal number and the cumulative regional distribution map by CT-surveillance showed tendencies that were similar to those revealed by PCR-surveillance. Conclusion Using clinical CT data, CT-surveillance program delineated the epidemiologic features of COVID-19 infection.