Costanza Cerrini
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Costanza Cerrini has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
- Alessandro Celi
Respiratory Unit, Cardio-Thoracic and Vascular Department, University Hospital of Pisa, 56126 Pisa, Italy
1 shared publication - Annalisa De Liperi
2nd Radiology Unit, Department of Diagnostic Imaging, Pisa University-Hospital, 56124 Pisa, Italy
1 shared publication - Annalisa Rafanelli
Department of Surgical, Medical and Molecular Pathology, and Critical Care, University of Pisa, 56126 Pisa, Italy
1 shared publication - Brian J. Bartholmai
Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
1 shared publication - Chiara Romei
Department of Translational Research, Academic Radiology, University of Pisa , Pisa
1 shared publication - Elisa Loguercio
Department of Surgical, Medical and Molecular Pathology, and Critical Care, University of Pisa, 56126 Pisa, Italy
1 shared publication
Latest Publications
- Open Access
- 24 October 2026
- Published by MDPI AG in Methods and Protocols
- Vol. 9 (6) , 157
Quantitative Analysis Using CALIPER Software of the Vascular Component on Chest CT Scans in COVID-19 Pneumonia
Background: Coronavirus Disease 19 (COVID-19)-associated pneumonia is characterized by a broad spectrum of severity. Endothelial injury is a prominent component of the disease, but the relative contribution of vessels of different sizes to this condition has not been extensively investigated. Quantitative computed tomography (CT) represents a potential tool to evaluate pulmonary vascular involvement. Objectives: To investigate the relative contribution of vessels of different sizes in COVID-19-associated pneumonia of different severity using the Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER) software. Methods: We conducted a single-center retrospective study, including patients admitted to the Pisa University Hospital between March and April 2020 with COVID-19-associated pneumonia. We excluded patients with severe motion artifacts, inadequate CALIPER segmentation, or inconclusive etiologic confirmation. All CT scans were analyzed using CALIPER, which automatically segmented lung parenchyma and vascular-related structures (VRSs). VRS volumes were stratified by vessel cross-sectional area (20 mm2). Results: We analyzed 258 patients. We observed that an increase in the percentages of VRSs with cross-sectional areas up to 20 mm2 was associated with the need for lower intensity of care and with better gas exchange. The opposite trend was observed for the percentages of >20 mm2. Conclusions: Our data provide novel information on the involvement of blood vessels of different sizes in the gas exchange impairment of COVID-19 patients. CALIPER represents a promising application for the study of vascular structures of the lung.
- 24 October 2026
- Published by MDPI AG in Methods and Protocols
- Vol. 9 (6) , 157
Open AccessQuantitative Analysis Using CALIPER Software of the Vascular Component on Chest CT Scans in COVID-19 Pneumonia
Background: Coronavirus Disease 19 (COVID-19)-associated pneumonia is characterized by a broad spectrum of severity. Endothelial injury is a prominent component of the disease, but the relative contribution of vessels of different sizes to this condition has not been extensively investigated. Quantitative computed tomography (CT) represents a potential tool to evaluate pulmonary vascular involvement. Objectives: To investigate the relative contribution of vessels of different sizes in COVID-19-associated pneumonia of different severity using the Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER) software. Methods: We conducted a single-center retrospective study, including patients admitted to the Pisa University Hospital between March and April 2020 with COVID-19-associated pneumonia. We excluded patients with severe motion artifacts, inadequate CALIPER segmentation, or inconclusive etiologic confirmation. All CT scans were analyzed using CALIPER, which automatically segmented lung parenchyma and vascular-related structures (VRSs). VRS volumes were stratified by vessel cross-sectional area (20 mm2). Results: We analyzed 258 patients. We observed that an increase in the percentages of VRSs with cross-sectional areas up to 20 mm2 was associated with the need for lower intensity of care and with better gas exchange. The opposite trend was observed for the percentages of >20 mm2. Conclusions: Our data provide novel information on the involvement of blood vessels of different sizes in the gas exchange impairment of COVID-19 patients. CALIPER represents a promising application for the study of vascular structures of the lung.