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Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation.
Lanza, Ezio; Muglia, Riccardo; Bolengo, Isabella; Santonocito, Orazio Giuseppe; Lisi, Costanza; Angelotti, Giovanni; Morandini, Pierandrea; Savevski, Victor; Politi, Letterio Salvatore; Balzarini, Luca.
  • Lanza E; Department of Diagnostic and Interventional Radiology, Humanitas Clinical and Research Center - IRCCS, Via A. Manzoni 56, Rozzano, 20089, Milan, Italy. eziolanza@gmail.com.
  • Muglia R; Training School in Radiology, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090, Milan, Italy.
  • Bolengo I; Training School in Radiology, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090, Milan, Italy.
  • Santonocito OG; Training School in Radiology, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090, Milan, Italy.
  • Lisi C; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090, Milan, Italy.
  • Angelotti G; Artificial Intelligence Center, Humanitas Clinical and Research Center - IRCCS, Via A. Manzoni 56, Rozzano, 20089, Milan, Italy.
  • Morandini P; Artificial Intelligence Center, Humanitas Clinical and Research Center - IRCCS, Via A. Manzoni 56, Rozzano, 20089, Milan, Italy.
  • Savevski V; Artificial Intelligence Center, Humanitas Clinical and Research Center - IRCCS, Via A. Manzoni 56, Rozzano, 20089, Milan, Italy.
  • Politi LS; Department of Diagnostic and Interventional Radiology, Humanitas Clinical and Research Center - IRCCS, Via A. Manzoni 56, Rozzano, 20089, Milan, Italy.
  • Balzarini L; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090, Milan, Italy.
Eur Radiol ; 30(12): 6770-6778, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-615376
ABSTRACT

OBJECTIVE:

Lombardy (Italy) was the epicentre of the COVID-19 pandemic in March 2020. The healthcare system suffered from a shortage of ICU beds and oxygenation support devices. In our Institution, most patients received chest CT at admission, only interpreted visually. Given the proven value of quantitative CT analysis (QCT) in the setting of ARDS, we tested QCT as an outcome predictor for COVID-19.

METHODS:

We performed a single-centre retrospective study on COVID-19 patients hospitalised from January 25, 2020, to April 28, 2020, who received CT at admission prompted by respiratory symptoms such as dyspnea or desaturation. QCT was performed using a semi-automated method (3D Slicer). Lungs were divided by Hounsfield unit intervals. Compromised lung (%CL) volume was the sum of poorly and non-aerated volumes (- 500, 100 HU). We collected patient's clinical data including oxygenation support throughout hospitalisation.

RESULTS:

Two hundred twenty-two patients (163 males, median age 66, IQR 54-6) were included; 75% received oxygenation support (20% intubation rate). Compromised lung volume was the most accurate outcome predictor (logistic regression, p < 0.001). %CL values in the 6-23% range increased risk of oxygenation support; values above 23% were at risk for intubation. %CL showed a negative correlation with PaO2/FiO2 ratio (p < 0.001) and was a risk factor for in-hospital mortality (p < 0.001).

CONCLUSIONS:

QCT provides new metrics of COVID-19. The compromised lung volume is accurate in predicting the need for oxygenation support and intubation and is a significant risk factor for in-hospital death. QCT may serve as a tool for the triaging process of COVID-19. KEY POINTS • Quantitative computer-aided analysis of chest CT (QCT) provides new metrics of COVID-19. • The compromised lung volume measured in the - 500, 100 HU interval predicts oxygenation support and intubation and is a risk factor for in-hospital death. • Compromised lung values in the 6-23% range prompt oxygenation therapy; values above 23% increase the need for intubation.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Oxygen Inhalation Therapy / Pneumonia, Viral / Tomography, X-Ray Computed / Coronavirus Infections / Betacoronavirus / Intubation, Intratracheal / Lung Type of study: Diagnostic study / Observational study / Prognostic study Limits: Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Eur Radiol Journal subject: Radiology Year: 2020 Document Type: Article Affiliation country: S00330-020-07013-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Oxygen Inhalation Therapy / Pneumonia, Viral / Tomography, X-Ray Computed / Coronavirus Infections / Betacoronavirus / Intubation, Intratracheal / Lung Type of study: Diagnostic study / Observational study / Prognostic study Limits: Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Eur Radiol Journal subject: Radiology Year: 2020 Document Type: Article Affiliation country: S00330-020-07013-2