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Computed Tomography Evaluation of Coronary Atherosclerosis: The Road Travelled, and What Lies Ahead.
Ayoub, Chadi; Scalia, Isabel G; Anavekar, Nandan S; Arsanjani, Reza; Jokerst, Clinton E; Chow, Benjamin J W; Kritharides, Leonard.
Afiliação
  • Ayoub C; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
  • Scalia IG; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
  • Anavekar NS; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.
  • Arsanjani R; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
  • Jokerst CE; Department of Radiology, Mayo Clinic, Phoenix, AZ 58054, USA.
  • Chow BJW; Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, ON K1Y 4W7, Canada.
  • Kritharides L; Department of Radiology, University of Ottawa, Ottawa, ON K1Y 4W7, Canada.
Diagnostics (Basel) ; 14(18)2024 Sep 23.
Article em En | MEDLINE | ID: mdl-39335775
ABSTRACT
Coronary CT angiography (CCTA) is now endorsed by all major cardiology guidelines for the investigation of chest pain and assessment for coronary artery disease (CAD) in appropriately selected patients. CAD is a leading cause of morbidity and mortality. There is extensive literature to support CCTA diagnostic and prognostic value both for stable and acute symptoms. It enables rapid and cost-effective rule-out of CAD, and permits quantification and characterization of coronary plaque and associated significance. In this comprehensive review, we detail the road traveled as CCTA evolved to include quantitative assessment of plaque stenosis and extent, characterization of plaque characteristics including high-risk features, functional assessment including fractional flow reserve-CT (FFR-CT), and CT perfusion techniques. The state of current guideline recommendations and clinical applications are reviewed, as well as future directions in the rapidly advancing field of CT technology, including photon counting and applications of artificial intelligence (AI).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça