Objectives: To evaluate a semi-automated segmentation and ventilated lung quantification on chest computed tomography (CT) to assess lung involvement in patients affected by SARS-CoV-2. Results were compared with clinical and functional parameters and outcomes. Methods: All images underwent quantitative analyses with a dedicated workstation using a semi-automatic lung segmentation software to compute ventilated lung volume (VLV), Ground-glass opacity (GGO) volume (GGO-V), and consolidation volume (CONS-V) as absolute volume and as a percentage of total lung volume (TLV). The ratio between CONS-V, GGO-V, and VLV (CONS-V/VLV and GGO-V/VLV, respectively), TLV (CONS-V/TLV, GGO-V/TLV, and GGO-V + CONS-V/TLV respectively), and the ratio between VLV and TLV (VLV/TLV) were calculated. Results: A total of 108 patients were enrolled. GGO-V/TLV significantly correlated with WBC (r = 0.369), neutrophils (r = 0.446), platelets (r = 0.182), CRP (r = 0.190), PaCO2 (r = 0.176), HCO3− (r = 0.284), and PaO2/FiO2 (P/F) values (r = − 0.344). CONS-V/TLV significantly correlated with WBC (r = 0.294), neutrophils (r = 0.300), lymphocytes (r = −0.225), CRP (r = 0.306), PaCO2 (r = 0.227), pH (r = 0.162), HCO3− (r = 0.394), and P/F (r = − 0.419) values. Statistically significant differences between CONS-V, GGO-V, GGO-V/TLV, CONS-V/TLV, GGO-V/VLV, CONS-V/VLV, GGO-V + CONS-V/TLV, VLV/TLV, CT score, and invasive ventilation by ET were found (all p < 0.05). Conclusion: The use of quantitative semi-automated algorithm for lung CT elaboration effectively correlates the severity of SARS-CoV-2-related pneumonia with laboratory parameters and the need for invasive ventilation. Key Points: • Pathological lung volumes, expressed both as GGO-V and as CONS-V, can be considered a useful tool in SARS-CoV-2-related pneumonia. • All lung volumes, expressed themselves and as ratio with TLV and VLV, correlate with laboratory data, in particular C-reactive protein and white blood cell count. • All lung volumes correlate with patient’s outcome, in particular concerning invasive ventilation.
Ippolito, D., Ragusi, M., Gandola, D., Maino, C., Pecorelli, A., Terrani, S., et al. (2020). Computed tomography semi-automated lung volume quantification in SARS-CoV-2-related pneumonia. EUROPEAN RADIOLOGY [10.1007/s00330-020-07271-0].
|Citazione:||Ippolito, D., Ragusi, M., Gandola, D., Maino, C., Pecorelli, A., Terrani, S., et al. (2020). Computed tomography semi-automated lung volume quantification in SARS-CoV-2-related pneumonia. EUROPEAN RADIOLOGY [10.1007/s00330-020-07271-0].|
|Tipo:||Articolo in rivista - Articolo scientifico|
|Carattere della pubblicazione:||Scientifica|
|Presenza di un coautore afferente ad Istituzioni straniere:||No|
|Titolo:||Computed tomography semi-automated lung volume quantification in SARS-CoV-2-related pneumonia|
|Autori:||Ippolito, D; Ragusi, M; Gandola, D; Maino, C; Pecorelli, A; Terrani, S; Peroni, M; Giandola, T; Porta, M; Talei Franzesi, C; Sironi, S|
IPPOLITO, DAVIDE (Corresponding)
|Data di pubblicazione:||2020|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/s00330-020-07271-0|
|Appare nelle tipologie:||01 - Articolo su rivista|