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Autor(en) / Beteiligte
Titel
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data
Ist Teil von
  • NPJ digital medicine, 2021-04, Vol.4 (1), p.69-69, Article 69
Ort / Verlag
England: Nature Publishing Group UK
Erscheinungsjahr
2021
Link zum Volltext
Quelle
Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
Beschreibungen/Notizen
  • The COVID-19 pandemic has worldwide individual and socioeconomic consequences. Chest computed tomography has been found to support diagnostics and disease monitoring. A standardized approach to generate, collect, analyze, and share clinical and imaging information in the highest quality possible is urgently needed. We developed systematic, computer-assisted and context-guided electronic data capture on the FDA-approved mint Lesion software platform to enable cloud-based data collection and real-time analysis. The acquisition and annotation include radiological findings and radiomics performed directly on primary imaging data together with information from the patient history and clinical data. As proof of concept, anonymized data of 283 patients with either suspected or confirmed SARS-CoV-2 infection from eight European medical centers were aggregated in data analysis dashboards. Aggregated data were compared to key findings of landmark research literature. This concept has been chosen for use in the national COVID-19 response of the radiological departments of all university hospitals in Germany.
Sprache
Englisch
Identifikatoren
ISSN: 2398-6352
eISSN: 2398-6352
DOI: 10.1038/s41746-021-00439-y
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_951bb53504434e748b68b1581a67d86c
Format

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