A novel CT-derived radiotranscriptomic signature of perivascular adipose tissue stratifies COVID-19 vascular cytokine burst and predicts in hospital outcomes

Lignende værker

• D Radiotranscriptomic analysis of perivascular adipose tissue quantifies vascular inflammation in covid-19 from routine CT angiograms: stratification of “new UK variant” Infection and prediction of in-hospital outcomes
  af: Kotanidis, CP, et al.
  Udgivet: (2021)
• Perivascular fat attenuation index stratifies cardiac risk associated with high-risk plaques in the CRISP-CT study
  af: Oikonomou, E, et al.
  Udgivet: (2020)
• A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography
  af: Oikonomou, EK, et al.
  Udgivet: (2019)
• Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19
  af: Kotanidis, CP, et al.
  Udgivet: (2022)
• A novel arterial redox-specific machine learning-derived radiomic signature of perivascular adipose tissue predicts cardiac mortality from routine CCTA
  af: Kotanidis, CP, et al.
  Udgivet: (2020)