Research ArticleClinical Investigation
Machine Learning with 18F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction
Jacek Kwiecinski, Evangelos Tzolos, Mohammed N. Meah, Sebastien Cadet, Philip D. Adamson, Kajetan Grodecki, Nikhil V. Joshi, Alastair J. Moss, Michelle C. Williams, Edwin J.R. van Beek, Daniel S. Berman, David E. Newby, Damini Dey, Marc R. Dweck and Piotr J. Slomka
Journal of Nuclear Medicine January 2022, 63 (1) 158-165; DOI: https://doi.org/10.2967/jnumed.121.262283
Jacek Kwiecinski
1Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California;
1Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California;
Evangelos Tzolos
1Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California;
4BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom;
Mohammed N. Meah
4BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom;
Sebastien Cadet
3Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California;
Philip D. Adamson
5Christchurch Heart Institute, University of Otago, Christchurch, New Zealand;
Kajetan Grodecki
6Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California;
Nikhil V. Joshi
7Bristol Heart Institute, University of Bristol, United Kingdom; and
Alastair J. Moss
4BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom;
Michelle C. Williams
4BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom;
Edwin J.R. van Beek
4BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom;
8Edinburgh Imaging, Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
Daniel S. Berman
3Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California;
David E. Newby
4BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom;
Damini Dey
6Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California;
Marc R. Dweck
4BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom;
Piotr J. Slomka
1Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California;
Data supplements
Supplemental Data
Files in this Data Supplement:
In this issue
Journal of Nuclear Medicine
Vol. 63, Issue 1
January 1, 2022
Machine Learning with 18F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction
Jacek Kwiecinski, Evangelos Tzolos, Mohammed N. Meah, Sebastien Cadet, Philip D. Adamson, Kajetan Grodecki, Nikhil V. Joshi, Alastair J. Moss, Michelle C. Williams, Edwin J.R. van Beek, Daniel S. Berman, David E. Newby, Damini Dey, Marc R. Dweck, Piotr J. Slomka
Journal of Nuclear Medicine Jan 2022, 63 (1) 158-165; DOI: 10.2967/jnumed.121.262283
Machine Learning with 18F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction
Jacek Kwiecinski, Evangelos Tzolos, Mohammed N. Meah, Sebastien Cadet, Philip D. Adamson, Kajetan Grodecki, Nikhil V. Joshi, Alastair J. Moss, Michelle C. Williams, Edwin J.R. van Beek, Daniel S. Berman, David E. Newby, Damini Dey, Marc R. Dweck, Piotr J. Slomka
Journal of Nuclear Medicine Jan 2022, 63 (1) 158-165; DOI: 10.2967/jnumed.121.262283