Projects per year
Abstract
Background: The National COVID-19 Chest Imaging Database (NCCID) is a centralized database containing mainly chest X-rays and computed tomography scans from patients across the UK. The objective of the initiative is to support a better understanding of the coronavirus SARS-CoV-2 disease (COVID-19) and the development of machine learning technologies that will improve care for patients hospitalized with a severe COVID-19 infection. This article introduces the training dataset, including a snapshot analysis covering the completeness of clinical data, and availability of image data for the various use-cases (diagnosis, prognosis, longitudinal risk). An additional cohort analysis measures how well the NCCID represents the wider COVID-19-affected UK population in terms of geographic, demographic, and temporal coverage.
Findings: The NCCID offers high-quality DICOM images acquired across a variety of imaging machinery; multiple time points including historical images are available for a subset of patients. This volume and variety make the database well suited to development of diagnostic/prognostic models for COVID-associated respiratory conditions. Historical images and clinical data may aid long-term risk stratification, particularly as availability of comorbidity data increases through linkage to other resources. The cohort analysis revealed good alignment to general UK COVID-19 statistics for some categories, e.g., sex, whilst identifying areas for improvements to data collection methods, particularly geographic coverage.
Conclusion: The NCCID is a growing resource that provides researchers with a large, high-quality database that can be leveraged both to support the response to the COVID-19 pandemic and as a test bed for building clinically viable medical imaging models.
Original language | English |
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Article number | giab076 |
Number of pages | 20 |
Journal | GigaScience |
Volume | 10 |
Issue number | 11 |
Early online date | 25 Nov 2021 |
DOIs | |
Publication status | Published - Nov 2021 |
Keywords
- COVID-19
- SARS-CoV2
- machine learning
- medical imaging
- thoracic imaging
ASJC Scopus subject areas
- Health Informatics
- Computer Science Applications
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Dive into the research topics of 'An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis'. Together they form a unique fingerprint.Projects
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MICA: InterdisciPlInary Collaboration for EfficienT and Effective Use of Clinical Images in Big Data Health Care RESearch: PICTURES (Programme Grant) (Joint with Universities of Edinburgh and Abertay)
Doney, A. (Investigator), Jefferson, E. (Investigator), Palmer, C. (Investigator), Steele, D. (Investigator), Trucco, M. (Investigator) & Wang, H. (Investigator)
1/08/19 → 28/02/25
Project: Research