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Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a Consensus Statement from the Quantitative Cardiovascular Imaging Study Group.
Mézquita, Aldo J Vázquez; Biavati, Federico; Falk, Volkmar; Alkadhi, Hatem; Hajhosseiny, Reza; Maurovich-Horvat, Pál; Manka, Robert; Kozerke, Sebastian; Stuber, Matthias; Derlin, Thorsten; Channon, Keith M; Isgum, Ivana; Coenen, Adriaan; Foellmer, Bernhard; Dey, Damini; Volleberg, Rick H J A; Meinel, Felix G; Dweck, Marc R; Piek, Jan J; van de Hoef, Tim; Landmesser, Ulf; Guagliumi, Giulio; Giannopoulos, Andreas A; Botnar, René M; Khamis, Ramzi; Williams, Michelle C; Newby, David E; Dewey, Marc.
Afiliação
  • Mézquita AJV; Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Biavati F; Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Falk V; Department of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité (DHZC), Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Alkadhi H; DZHK (German Centre for Cardiovascular Research) Partner Site, Berlin, Germany.
  • Hajhosseiny R; Department of Health Science and Technology, ETH Zurich, Zurich, Switzerland.
  • Maurovich-Horvat P; Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Manka R; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Kozerke S; National Heart and Lung Institute, Imperial College London, London, UK.
  • Stuber M; Department of Radiology, Medical Imaging Center, Semmelweis University, Budapest, Hungary.
  • Derlin T; Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Channon KM; Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland.
  • Isgum I; Institute for Biomedical Engineering, ETH Zurich, University of Zurich, Zurich, Switzerland.
  • Coenen A; Department of Radiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
  • Foellmer B; Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany.
  • Dey D; Radcliffe Department of Medicine, University of Oxford and Oxford University Hospitals, Oxford, UK.
  • Volleberg RHJA; Department of Biomedical Engineering and Physics, Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
  • Meinel FG; Department of Radiology, Erasmus University, Rotterdam, Netherlands.
  • Dweck MR; Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Piek JJ; Departments of Biomedical Sciences and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • van de Hoef T; Department of Cardiology, Radboud University Medical Center, Nijmegen, Netherlands.
  • Landmesser U; Department of Radiology, University Medical Centre Rostock, Rostock, Germany.
  • Guagliumi G; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
  • Giannopoulos AA; Department of Clinical and Experimental Cardiology and Cardiovascular Sciences, Amsterdam UMC, Heart Center, University of Amsterdam, Amsterdam, Netherlands.
  • Botnar RM; Department of Cardiology, University Medical Center Utrecht, Utrecht, Netherlands.
  • Khamis R; DZHK (German Centre for Cardiovascular Research) Partner Site, Berlin, Germany.
  • Williams MC; Department of Cardiology, Deutsches Herzzentrum der Charité (DHZC), Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Newby DE; Division of Cardiology, IRCCS Galeazzi Sant'Ambrogio Hospital, Milan, Italy.
  • Dewey M; Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Nat Rev Cardiol ; 20(10): 696-714, 2023 10.
Article em En | MEDLINE | ID: mdl-37277608
The detection and characterization of coronary artery stenosis and atherosclerosis using imaging tools are key for clinical decision-making in patients with known or suspected coronary artery disease. In this regard, imaging-based quantification can be improved by choosing the most appropriate imaging modality for diagnosis, treatment and procedural planning. In this Consensus Statement, we provide clinical consensus recommendations on the optimal use of different imaging techniques in various patient populations and describe the advances in imaging technology. Clinical consensus recommendations on the appropriateness of each imaging technique for direct coronary artery visualization were derived through a three-step, real-time Delphi process that took place before, during and after the Second International Quantitative Cardiovascular Imaging Meeting in September 2022. According to the Delphi survey answers, CT is the method of choice to rule out obstructive stenosis in patients with an intermediate pre-test probability of coronary artery disease and enables quantitative assessment of coronary plaque with respect to dimensions, composition, location and related risk of future cardiovascular events, whereas MRI facilitates the visualization of coronary plaque and can be used in experienced centres as a radiation-free, second-line option for non-invasive coronary angiography. PET has the greatest potential for quantifying inflammation in coronary plaque but SPECT currently has a limited role in clinical coronary artery stenosis and atherosclerosis imaging. Invasive coronary angiography is the reference standard for stenosis assessment but cannot characterize coronary plaques. Finally, intravascular ultrasonography and optical coherence tomography are the most important invasive imaging modalities for the identification of plaques at high risk of rupture. The recommendations made in this Consensus Statement will help clinicians to choose the most appropriate imaging modality on the basis of the specific clinical scenario, individual patient characteristics and the availability of each imaging modality.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article