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Prognostic findings for ICU admission in patients with COVID-19 pneumonia: baseline and follow-up chest CT and the added value of artificial intelligence.
Laino, Maria Elena; Ammirabile, Angela; Lofino, Ludovica; Lundon, Dara Joseph; Chiti, Arturo; Francone, Marco; Savevski, Victor.
  • Laino ME; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy. mariaelena.laino@humanitas.it.
  • Ammirabile A; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy.
  • Lofino L; Department of Radiology, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy.
  • Lundon DJ; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy.
  • Chiti A; Department of Radiology, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy.
  • Francone M; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy.
  • Savevski V; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy.
Emerg Radiol ; 29(2): 243-262, 2022 Apr.
Article in English | MEDLINE | ID: covidwho-1634393
ABSTRACT
Infection with SARS-CoV-2 has dominated discussion and caused global healthcare and economic crisis over the past 18 months. Coronavirus disease 19 (COVID-19) causes mild-to-moderate symptoms in most individuals. However, rapid deterioration to severe disease with or without acute respiratory distress syndrome (ARDS) can occur within 1-2 weeks from the onset of symptoms in a proportion of patients. Early identification by risk stratifying such patients who are at risk of severe complications of COVID-19 is of great clinical importance. Computed tomography (CT) is widely available and offers the potential for fast triage, robust, rapid, and minimally invasive diagnosis Ground glass opacities (GGO), crazy-paving pattern (GGO with superimposed septal thickening), and consolidation are the most common chest CT findings in COVID pneumonia. There is growing interest in the prognostic value of baseline chest CT since an early risk stratification of patients with COVID-19 would allow for better resource allocation and could help improve outcomes. Recent studies have demonstrated the utility of baseline chest CT to predict intensive care unit (ICU) admission in patients with COVID-19. Furthermore, developments and progress integrating artificial intelligence (AI) with computer-aided design (CAD) software for diagnostic imaging allow for objective, unbiased, and rapid assessment of CT images.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Prognostic study Limits: Humans Language: English Journal: Emerg Radiol Year: 2022 Document Type: Article Affiliation country: S10140-021-02008-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Prognostic study Limits: Humans Language: English Journal: Emerg Radiol Year: 2022 Document Type: Article Affiliation country: S10140-021-02008-y