Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization.

Journal: Current atherosclerosis reports
PMID:

Abstract

PURPOSE OF THE REVIEW: Rheumatoid arthritis (RA) is a chronic, autoimmune disease which may result in a higher risk of cardiovascular (CV) events and stroke. Tissue characterization and risk stratification of patients with rheumatoid arthritis are a challenging problem. Risk stratification of RA patients using traditional risk factor-based calculators either underestimates or overestimates the CV risk. Advancements in medical imaging have facilitated early and accurate CV risk stratification compared to conventional cardiovascular risk calculators.

Authors

  • Narendra N Khanna
    Cardiology Department, Apollo Hospitals, New Delhi, India.
  • Ankush D Jamthikar
    Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India.
  • Deep Gupta
    Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India.
  • Matteo Piga
    Department of Rheumatology, University Clinic and AOU of Cagliari, Cagliari, Italy.
  • Luca Saba
    Department of Radiology, A.O.U., Italy.
  • Carlo Carcassi
    Department of Genetics, University of Cagliari, Cagliari, Italy.
  • Argiris A Giannopoulos
    Department of Medicine, Imperial College London, London, UK.
  • Andrew Nicolaides
    Vascular Screening and Diagnostic Centre, London, England, United Kingdom; Vascular Diagnostic Center, University of Cyprus, Nicosia, Cyprus.
  • John R Laird
    UC Davis Vascular Center, University of California, Davis, CA, USA.
  • Harman S Suri
    Brown University, Providence, RI, USA; Monitoring and Diagnostic Division, AtheroPointâ„¢, Roseville, CA, USA.
  • Sophie Mavrogeni
    Cardiology Clinic, Onassis Cardiac Surgery Center, Athens, Greece.
  • A D Protogerou
    Cardiovascular Prevention Unit, Department of Pathophysiology, NKU of Athens, Athens, Greece.
  • Petros Sfikakis
    Rheumatology Unit, Laikon University Hospital, Athens, Greece.
  • George D Kitas
    Arthritis Research UK Centre for Epidemiology, Manchester University, Manchester, UK.
  • Jasjit S Suri
    Advanced Knowledge Engineering Center, Global Biomedical Technologies, Inc., Roseville, CA, USA. Electronic address: jsuri@comcast.net.