Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Department of Radiology, University of Texas, Southwestern Medical Center, Dallas, Texas, USA.
Sci Data. 2020 Nov 24;7(1):414. doi: 10.1038/s41597-020-00741-6.
As the COVID-19 pandemic unfolds, radiology imaging is playing an increasingly vital role in determining therapeutic options, patient management, and research directions. Publicly available data are essential to drive new research into disease etiology, early detection, and response to therapy. In response to the COVID-19 crisis, the National Cancer Institute (NCI) has extended the Cancer Imaging Archive (TCIA) to include COVID-19 related images. Rural populations are one population at risk for underrepresentation in such public repositories. We have published in TCIA a collection of radiographic and CT imaging studies for patients who tested positive for COVID-19 in the state of Arkansas. A set of clinical data describes each patient including demographics, comorbidities, selected lab data and key radiology findings. These data are cross-linked to SARS-COV-2 cDNA sequence data extracted from clinical isolates from the same population, uploaded to the GenBank repository. We believe this collection will help to address population imbalance in COVID-19 data by providing samples from this normally underrepresented population.
随着 COVID-19 大流行的发展,放射影像学在确定治疗选择、患者管理和研究方向方面发挥着越来越重要的作用。公开可用的数据对于推动疾病病因、早期检测和治疗反应的新研究至关重要。为了应对 COVID-19 危机,美国国家癌症研究所 (NCI) 将癌症成像档案 (TCIA) 扩展到包括 COVID-19 相关图像。农村人口是在这些公共存储库中代表性不足的人群之一。我们在 TCIA 上发布了一组针对在阿肯色州检测出 COVID-19 呈阳性的患者的放射学和 CT 成像研究。一组临床数据描述了每位患者,包括人口统计学、合并症、选定的实验室数据和关键放射学发现。这些数据与从同一人群的临床分离物中提取的 SARS-COV-2 cDNA 序列数据交叉链接,并上传到 GenBank 存储库。我们相信,通过提供来自这个通常代表性不足的人群的样本,该数据集将有助于解决 COVID-19 数据中的人口不平衡问题。