Quantitative CT Texture Analysis of COVID-19 Hospitalized Patients during 3–24-Month Follow-Up and Correlation with Functional Parameters

Quantitative CT Texture Analysis of COVID-19 Hospitalized Patients during 3–24-Month Follow-Up and Correlation with Functional Parameters

Background: To quantitatively evaluate CT lung abnormalities in COVID-19 survivors from the acute phase to 24-month follow-up. Quantitative CT features as predictors of abnormalities’ persistence were investigated. Methods: Patients who survived COVID-19 were retrospectively enrolled and underwent a...

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Bibliographic Details
Main Authors: Salvatore Claudio Fanni, Federica Volpi, Leonardo Colligiani, Davide Chimera, Michele Tonerini, Francesco Pistelli, Roberta Pancani, Chiara Airoldi, Brian J. Bartholmai, Dania Cioni, Laura Carrozzi, Emanuele Neri, Annalisa De Liperi, Chiara Romei
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Diagnostics
Subjects:
lung
CT
COVID-19 pneumonia
follow-up
machine learning
texture analysis
Online Access:https://www.mdpi.com/2075-4418/14/5/550

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