A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data
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...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
12 April 2021
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| In: |
npj digital medicine
Year: 2021, Jahrgang: 4, Pages: 1-9 |
| ISSN: | 2398-6352 |
| DOI: | 10.1038/s41746-021-00439-y |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/s41746-021-00439-y Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/s41746-021-00439-y 
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| Verfasserangaben: | Gabriel Alexander Salg, Maria-Katharina Ganten, Andreas Michael Bucher, Hannes Goetz Kenngott, Matthias Alexander Fink, Constantin Seibold, Ricarda Elisabeth Fischbach, Kai Schlamp, Carlos Alberto Velandia, Philipp Fervers, Felix Doellinger, Anna Luger, Saif Afat, Uta Merle, Markus K. Diener, Philippe L. Pereira, Tobias Penzkofer, Thorsten Persigehl, Ahmed Othman, Claus Peter Heußel, Matthias Baumhauer, Gerlig Widmann, Konstantinos Stathopoulos, Bernd Hamm, Thomas J. Vogl, Konstantin Nikolaou, Hans-Ulrich Kauczor and Jens Kleesiek |
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| 520 | |a 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 LesionTM 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. | ||
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