AI Lung Segmentation and Perfusion Analysis of Dual-Energy CT Can Help to Distinguish COVID-19 Infiltrates from Visually Similar Immunotherapy-Related Pneumonitis Findings and Can Optimize Radiological Workflows

(1) To explore the potential impact of an AI dual-energy CT (DECT) prototype on decision making and workflows by investigating its capabilities to differentiate COVID-19 from immunotherapy-related pneumonitis. (2) Methods: From 3 April 2020 to 12 February 2021, DECT from biometrically matching patie...

Descripción completa

Detalles Bibliográficos
Autores principales: Brendlin, Andreas S., Mader, Markus, Faby, Sebastian, Schmidt, Bernhard, Othman, Ahmed E., Gassenmaier, Sebastian, Nikolaou, Konstantin, Afat, Saif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788516/
https://www.ncbi.nlm.nih.gov/pubmed/35076602
http://dx.doi.org/10.3390/tomography8010003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788516/
https://www.ncbi.nlm.nih.gov/pubmed/35076602
http://dx.doi.org/10.3390/tomography8010003

Ejemplares similares