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Computed tomography semi-automated lung volume quantification in SARS-CoV-2-related pneumonia.
Ippolito, Davide; Ragusi, Maria; Gandola, Davide; Maino, Cesare; Pecorelli, Anna; Terrani, Simone; Peroni, Marta; Giandola, Teresa; Porta, Marco; Talei Franzesi, Cammillo; Sironi, Sandro.
  • Ippolito D; Department of Diagnostic Radiology, San Gerardo Hospital, University of Milano-Bicocca, Via Pergolesi 33, Monza, MB, 20900, Italy. davide.atena@tiscalinet.it.
  • Ragusi M; School of Medicine, University of Milano-Bicocca, Via Cadore 48, Monza, MB, 20900, Italy. davide.atena@tiscalinet.it.
  • Gandola D; Department of Diagnostic Radiology, San Gerardo Hospital, University of Milano-Bicocca, Via Pergolesi 33, Monza, MB, 20900, Italy.
  • Maino C; School of Medicine, University of Milano-Bicocca, Via Cadore 48, Monza, MB, 20900, Italy.
  • Pecorelli A; Department of Diagnostic Radiology, San Gerardo Hospital, University of Milano-Bicocca, Via Pergolesi 33, Monza, MB, 20900, Italy.
  • Terrani S; School of Medicine, University of Milano-Bicocca, Via Cadore 48, Monza, MB, 20900, Italy.
  • Peroni M; Department of Diagnostic Radiology, San Gerardo Hospital, University of Milano-Bicocca, Via Pergolesi 33, Monza, MB, 20900, Italy.
  • Giandola T; School of Medicine, University of Milano-Bicocca, Via Cadore 48, Monza, MB, 20900, Italy.
  • Porta M; Department of Diagnostic Radiology, San Gerardo Hospital, University of Milano-Bicocca, Via Pergolesi 33, Monza, MB, 20900, Italy.
  • Talei Franzesi C; School of Medicine, University of Milano-Bicocca, Via Cadore 48, Monza, MB, 20900, Italy.
  • Sironi S; Philips Healthcare, Viale Sacra 235, Milan, MI, 20126, Italy.
Eur Radiol ; 31(5): 2726-2736, 2021 May.
Article in English | MEDLINE | ID: covidwho-1384395
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Eur Radiol Journal subject: Radiology Year: 2021 Document Type: Article Affiliation country: S00330-020-07271-0

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Eur Radiol Journal subject: Radiology Year: 2021 Document Type: Article Affiliation country: S00330-020-07271-0