High resolution computed tomography (HRCT) is an excellent tool for diagnosing COVID-19 pneumonia and following up patients who develop long-term respiratory complications, including pulmonary fibrosis (1,2). While previous studies showed that texture analysis (TA) on lung computed tomography (CT) images could effectively predict clinical outcomes in patients with COVID-19 pneumonia in the acute setting (3,4), its role in identifying patients at risk of developing pulmonary fibrosis has never been investigated. The aim of this study was to assess the accuracy of HRCT TA in predicting the onset of pulmonary fibrosis in patients after COVID-19 pneumonia.
High resolution computed tomography texture analysis identifies patients at risk of pulmonary fibrosis after COVID-19 pneumonia / Crimi, F.; Cabrelle, G.; Zanon, C.; De Noni, A.; Campi, C.; Vianello, A.; Quaia, E.. - In: QUANTITATIVE IMAGING IN MEDICINE AND SURGERY. - ISSN 2223-4292. - 12:3(2022), pp. 2199-2202. [10.21037/qims-21-769]
High resolution computed tomography texture analysis identifies patients at risk of pulmonary fibrosis after COVID-19 pneumonia
Zanon C.;Campi C.;
2022
Abstract
High resolution computed tomography (HRCT) is an excellent tool for diagnosing COVID-19 pneumonia and following up patients who develop long-term respiratory complications, including pulmonary fibrosis (1,2). While previous studies showed that texture analysis (TA) on lung computed tomography (CT) images could effectively predict clinical outcomes in patients with COVID-19 pneumonia in the acute setting (3,4), its role in identifying patients at risk of developing pulmonary fibrosis has never been investigated. The aim of this study was to assess the accuracy of HRCT TA in predicting the onset of pulmonary fibrosis in patients after COVID-19 pneumonia.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
