Purpose: the purpose of this study was to assess the evolution of computed tomography (CT) findings and lung residue in patients with COVID-19 pneumonia, via quantified evaluation of the disease, using a computer aided tool. Materials and methods: we retrospectively evaluated 341 CT examinations of 140 patients (68 years of median age) infected with COVID-19 (confirmed by real-time reverse transcriptase polymerase chain reaction (RT-PCR)), who were hospitalized, and who received clinical and CT examinations. All CTs were evaluated by two expert radiologists, in consensus, at the same reading session, using a computer-aided tool for quantification of the pulmonary disease. The parameters obtained using the computer tool included the healthy ...
Rationale: Interpretation of lung abnormalities identified by computed tomography (CT) in patients w...
Background: Pneumonia is the main manifestation of coronavirus disease 2019 (COVID-19) infection. Ch...
Purpose: This study aimed to identify predictive (bio-)markers for COVID-19 severity derived from au...
Purpose: The purpose of this study was to assess the evolution of computed tomography (CT) findings ...
Objective: To calculate by means of a computer-aided tool the volumes of healthy residual lung paren...
Objective: To calculate by means of a computer-aided tool the volumes of healthy residual lung paren...
Objective: To calculate by means of a computer-aided tool the volumes of healthy residual lung paren...
Objective: To investigate two commercial software and their efficacy in the assessment of chest CT s...
Purpose: To compare different commercial software in the quantification of Pneumonia Lesions in COVI...
Objective: To investigate two commercial software and their efficacy in the assessment of chest CT s...
Objective: To investigate two commercial software and their efficacy in the assessment of chest CT s...
The paper assessed various signs of lung tissue damage and the extent of its damage using automatic ...
Purpose. To explore the capabilities of CT in assessing the lungs injury degree due to COVID-19 by d...
Introduction: COVID-19 pneumonia is characterized by ground-glass opacities (GGOs) and consolidation...
Purpose. To retrospectively analyze lung CT images from the COVID-Center in the National Medical Res...
Rationale: Interpretation of lung abnormalities identified by computed tomography (CT) in patients w...
Background: Pneumonia is the main manifestation of coronavirus disease 2019 (COVID-19) infection. Ch...
Purpose: This study aimed to identify predictive (bio-)markers for COVID-19 severity derived from au...
Purpose: The purpose of this study was to assess the evolution of computed tomography (CT) findings ...
Objective: To calculate by means of a computer-aided tool the volumes of healthy residual lung paren...
Objective: To calculate by means of a computer-aided tool the volumes of healthy residual lung paren...
Objective: To calculate by means of a computer-aided tool the volumes of healthy residual lung paren...
Objective: To investigate two commercial software and their efficacy in the assessment of chest CT s...
Purpose: To compare different commercial software in the quantification of Pneumonia Lesions in COVI...
Objective: To investigate two commercial software and their efficacy in the assessment of chest CT s...
Objective: To investigate two commercial software and their efficacy in the assessment of chest CT s...
The paper assessed various signs of lung tissue damage and the extent of its damage using automatic ...
Purpose. To explore the capabilities of CT in assessing the lungs injury degree due to COVID-19 by d...
Introduction: COVID-19 pneumonia is characterized by ground-glass opacities (GGOs) and consolidation...
Purpose. To retrospectively analyze lung CT images from the COVID-Center in the National Medical Res...
Rationale: Interpretation of lung abnormalities identified by computed tomography (CT) in patients w...
Background: Pneumonia is the main manifestation of coronavirus disease 2019 (COVID-19) infection. Ch...
Purpose: This study aimed to identify predictive (bio-)markers for COVID-19 severity derived from au...