Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis
Per-patient age- and sex-specific distributions for deep learning-based coronary plaque volumes are strongly predictive of myocardial infarction, with the highest risk seen in patients with coronary plaque volumes in the ≥75th percentile.
Authors
- Alan C. Kwan (ORCID: https://orcid.org/0000-0002-4393-1011)
- Jie Cao (ORCID: https://orcid.org/0000-0002-8890-0542)
- Nipun Manral (ORCID: https://orcid.org/0000-0001-9040-6896)
- Kajetan Grodecki (ORCID: https://orcid.org/0000-0002-0358-5679)
- Aakash Shanbhag (ORCID: https://orcid.org/0000-0001-5199-3071)
- Markus Goeller (ORCID: https://orcid.org/0000-0002-8298-1492)
- Mohamed Marwan
- Aditya Killekar (ORCID: https://orcid.org/0000-0003-3831-5676)
- Jolien Geers (ORCID: https://orcid.org/0000-0003-1109-5191)
- Robert J.H. Miller (ORCID: https://orcid.org/0000-0003-4676-2433)
- Michelle C. Williams (ORCID: https://orcid.org/0000-0003-3556-2428)
- Stephan Achenbach (ORCID: https://orcid.org/0000-0002-7596-095X)
- Victor Cheng (ORCID: https://orcid.org/0000-0001-8998-6221)
- Guadalupe Flores Tomasino (ORCID: https://orcid.org/0000-0002-5615-7280)
- Donghee Han (ORCID: https://orcid.org/0000-0003-1491-3612)
- Heidi Gransar (ORCID: https://orcid.org/0000-0003-4704-8290)
- Damini Dey (ORCID: https://orcid.org/0000-0003-2236-6970)
- Stephen James Nicholls (ORCID: https://orcid.org/0000-0002-9668-4368)
- Hidenari Matsumoto (ORCID: https://orcid.org/0000-0002-6528-4118)
- Andrew Lin (ORCID: https://orcid.org/0000-0003-0348-7697)
- Sebastien Cadet (ORCID: https://orcid.org/0000-0002-9567-6438)
- Jacek Kwieciński (ORCID: https://orcid.org/0000-0001-8202-6359)
- Lu Chen (ORCID: https://orcid.org/0000-0002-9849-7339)
- Marc R. Dweck (ORCID: https://orcid.org/0000-0001-9847-5917)
- Aryabod Razipour
- David E. Newby (ORCID: https://orcid.org/0000-0001-7971-4628)
- Priscilla McElhinney (ORCID: https://orcid.org/0000-0002-7642-6804)
- Balaji Tamarappoo
- Piotr J. Slomka (ORCID: https://orcid.org/0000-0002-6110-938X)
- Keiichiro Kuronuma (ORCID: https://orcid.org/0009-0005-2478-8343)
- Daniel S. Berman (ORCID: https://orcid.org/0000-0002-3793-9578)
- Caroline Park (ORCID: https://orcid.org/0000-0001-9930-073X)
- Dennis Wong
Institutions
- SHOWA Medical University (JP)
- University of Calgary (CA)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Medical University of Warsaw (PL)
- British Heart Foundation (GB)
- St. Francis Hospital (US)
- Oklahoma Heart Institute (US)
- St. Francis Hospital (US)
- Banner - University Medical Center Phoenix (US)
- Monash Health (AU)
- Universitair Ziekenhuis Brussel (BE)
- Institute of Cardiology (PL)
- Norwegian Womens Public Health Association (NO)
- Institute of Psychiatry and Neurology (PL)
- Monash University (AU)
Publication Details
- Journal
- Circulation Cardiovascular Imaging
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1161/circimaging.124.016958
- Citations
- 13
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 5.26
Funders
- Amgen
- Eli Lilly and Company
- Pfizer
- AstraZeneca
- Sanofi
- Dr. Miriam and Sheldon G. Adelson Medical Research Foundation
- Society of Nuclear Medicine and Molecular Imaging
- Nihon University
- CSL Behring
- Regeneron Pharmaceuticals
- Wellcome Trust
- Cedars-Sinai Medical Center
- Amarin Corporation
- Anthera
- Medicines Company
- InfraRedx
- British Heart Foundation
- Fundacja na rzecz Nauki Polskiej
- Siemens Healthineers
- Silence Therapeutics
- Esperion Therapeutics