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计算机断层扫描监测有助于追踪 COVID-19 疫情。

Computed tomography surveillance helps tracking COVID-19 outbreak.

机构信息

Department of Radiology, National Center for Global Health and Medicine, Kohnodai Hospital, 1-7-1 Kohnodai, Ichikawa City, Chiba Province, 272-8516, Japan.

Department of Clinical Research, Center for Clinical Sciences, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.

出版信息

Jpn J Radiol. 2020 Dec;38(12):1169-1176. doi: 10.1007/s11604-020-01026-z. Epub 2020 Aug 7.

DOI:10.1007/s11604-020-01026-z
PMID:32766927
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7410527/
Abstract

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.

摘要

目的

揭示计算机断层扫描监测项目(CT 监测)可以展示 COVID-19 感染的流行病学特征,并同时使用临床 CT 数据研究 CT 表现的类型和频率。

材料和方法

我们以可能有病毒性肺炎 CT 表现的个体为目标。通过在线问卷调查,我们要求日本的放射学委员会认证的放射科医生登记他们的患者信息,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 表现以及进行 CT 的医疗机构的邮政编码。我们比较了 CT 监测的日间患者数量和注册的累积区域分布图与 PCR 阳性患者监测(PCR 监测)的情况。

结果

2020 年 1 月 1 日至 4 月 17 日,共有 637 名患者进行了 CT 监测。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%)。CT 监测中观察到年龄在 60-69 岁之间的峰值和男性优势。最常见的 CT 表现是双侧分布的磨玻璃影。CT 监测的日间数量和累积区域分布图谱显示出与 PCR 监测相似的趋势。

结论

使用临床 CT 数据,CT 监测项目描绘了 COVID-19 感染的流行病学特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65f/7410527/75254cf963ea/11604_2020_1026_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65f/7410527/471f80c3e53f/11604_2020_1026_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65f/7410527/130d34e681d2/11604_2020_1026_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65f/7410527/75254cf963ea/11604_2020_1026_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65f/7410527/471f80c3e53f/11604_2020_1026_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65f/7410527/130d34e681d2/11604_2020_1026_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65f/7410527/bff725b4268e/11604_2020_1026_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65f/7410527/bc507a5d01e0/11604_2020_1026_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65f/7410527/75254cf963ea/11604_2020_1026_Fig5_HTML.jpg

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