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Atherosclerosis evaluation and cardiovascular risk estimation using coronary computed tomography angiography

  • Nick S. Nurmohamed
  • , Alexander R. van Rosendael
  • , Ibrahim Danad
  • , Quyen Ngo-Metzger
  • , Pam R. Taub
  • , Kausik K. Ray
  • , Gemma Figtree
  • , Marc P. Bonaca
  • , Judith Hsia
  • , Fatima Rodriguez
  • , Alexander T. Sandhu
  • , Koen Nieman
  • , James P. Earls
  • , Udo Hoffmann
  • , Jeroen J. Bax
  • , James K. Min
  • , David J. Maron
  • , Deepak L. Bhatt*
  • *Corresponding author for this work
  • Leiden University
  • Kaiser Permanente
  • University of California at San Diego
  • Imperial College London
  • The University of Sydney
  • University of Colorado Anschutz Medical Campus
  • Stanford University
  • Cleerly
  • Muons, Inc.
  • George Washington University
  • Icahn School of Medicine at Mount Sinai

Research output: Contribution to journal › Review article › Academic › peer-review

195 Downloads (Pure)

Abstract

Clinical risk scores based on traditional risk factors of atherosclerosis correlate imprecisely to an individual’s complex pathophysiological predisposition to atherosclerosis and provide limited accuracy for predicting major adverse cardiovascular events (MACE). Over the past two decades, computed tomography scanners and techniques for coronary computed tomography angiography (CCTA) analysis have substantially improved, enabling more precise atherosclerotic plaque quantification and characterization. The accuracy of CCTA for quantifying stenosis and atherosclerosis has been validated in numerous multicentre studies and has shown consistent incremental prognostic value for MACE over the clinical risk spectrum in different populations. Serial CCTA studies have advanced our understanding of vascular biology and atherosclerotic disease progression. The direct disease visualization of CCTA has the potential to be used synergistically with indirect markers of risk to significantly improve prevention of MACE, pending large-scale randomized evaluation.

Original languageEnglish
Pages (from-to)1783-1800
Number of pages18
JournalEuropean heart journal
Volume45
Issue number20
DOIs
Publication statusPublished - 21 May 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Atherosclerotic cardiovascular disease
  • Coronary artery disease
  • Coronary computed tomography angiography
  • Major adverse cardiovascular events
  • Prevention

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