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...

Полное описание

Библиографические подробности
Главные авторы: Andreas S. Brendlin, Markus Mader, Sebastian Faby, Bernhard Schmidt, Ahmed E. Othman, Sebastian Gassenmaier, Konstantin Nikolaou, Saif Afat
Формат: Статья
Язык:English
Опубликовано: MDPI AG 2021-12-01
Серии:Tomography
Предметы:
Online-ссылка:https://www.mdpi.com/2379-139X/8/1/3