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Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19.

The Lancet. Digital health | 2022

Direct evaluation of vascular inflammation in patients with COVID-19 would facilitate more efficient trials of new treatments and identify patients at risk of long-term complications who might respond to treatment. We aimed to develop a novel artificial intelligence (AI)-assisted image analysis platform that quantifies cytokine-driven vascular inflammation from routine CT angiograms, and sought to validate its prognostic value in COVID-19.

Pubmed ID: 36038496 RIS Download

Research resources used in this publication

None found

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Associated grants

  • Agency: British Heart Foundation, United Kingdom
    Id: TG/16/3/32687
  • Agency: British Heart Foundation, United Kingdom
    Id: CH/16/1/32013
  • Agency: British Heart Foundation, United Kingdom
    Id: RG/F/21/110040
  • Agency: Wellcome Trust, United Kingdom
    Id: 203141/Z/16/Z
  • Agency: British Heart Foundation, United Kingdom
    Id: RE/18/3/34214
  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_19025
  • Agency: British Heart Foundation, United Kingdom
    Id: FS/16/15/32047
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_00008/6
  • Agency: British Heart Foundation, United Kingdom
    Id: TG/19/2/34831
  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_19059
  • Agency: Medical Research Council, United Kingdom
    Id: MR/V010182/1
  • Agency: British Heart Foundation, United Kingdom
    Id: CH/F/21/90009
  • Agency: Chief Scientist Office, United Kingdom
    Id: COV/GLA/20/05
  • Agency: British Heart Foundation, United Kingdom
    Id: CH/09/002/26360

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ConsensusPathDB (tool)

RRID:SCR_002231

An integrative interaction database that integrates different types of functional interactions from heterogeneous interaction data resources. Physical protein interactions, metabolic and signaling reactions and gene regulatory interactions are integrated in a seamless functional association network that simultaneously describes multiple functional aspects of genes, proteins, complexes, metabolites, etc. With human, yeast and mouse complex functional interactions, it currently constitutes the most comprehensive publicly available interaction repository for these species. Different ways of utilizing these integrated interaction data, in particular with tools for visualization, analysis and interpretation of high-throughput expression data in the light of functional interactions and biological pathways is offered.

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ClinicalTrials.gov (tool)

RRID:SCR_002309

Registry and results database of federally and privately supported clinical trials conducted in United States and around world. Provides information about purpose of trial, who may participate, locations, and phone numbers for more details. This information should be used in conjunction with advice from health care professionals.Offers information for locating federally and privately supported clinical trials for wide range of diseases and conditions. Research study in human volunteers to answer specific health questions. Interventional trials determine whether experimental treatments or new ways of using known therapies are safe and effective under controlled environments. Observational trials address health issues in large groups of people or populations in natural settings. ClinicalTrials.gov contains trials sponsored by National Institutes of Health, other federal agencies, and private industry. Studies listed in database are conducted in all 50 States and in 178 countries.

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ComBat (tool)

RRID:SCR_010974

Adjusting batch effects in microarray expression data using Empirical Bayes methods.

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