Coronary artery stenosis, plaque burden, and severity of myocardial ischemia
Artificial intelligence-guided coronary computed tomography angiography-derived measures of plaque burden and stenosis are associated with the severity of myocardial ischaemia, although overlapping distributions across ischaemia severity indicate that anatomical imaging alone may be insufficient for accurate phenotyping of flow-limiting CAD. These findings encourage for the integration of functional imaging with quantitative plaque analysis for a more comprehensive evaluation of coronary artery disease.
Authors
- Teemu Maaniitty (ORCID: https://orcid.org/0000-0001-5819-4635)
- Antti Saraste (ORCID: https://orcid.org/0000-0003-2488-0893)
- Tanja Kero (ORCID: https://orcid.org/0009-0008-2002-8699)
- Jeroen Joost Bax (ORCID: https://orcid.org/0000-0001-7368-0500)
- Juhani Knuuti (ORCID: https://orcid.org/0000-0003-3156-9593)
- Sarah Bär (ORCID: https://orcid.org/0000-0003-0045-6596)
Institutions
- Uppsala University (SE)
- Uppsala University Hospital (SE)
- University of Turku (FI)
- Turku University of Applied Sciences (FI)
- Leiden University Medical Center (NL)
- University Hospital of Bern (CH)
- Turku University Hospital (FI)
- Turku PET Centre (FI)
Publication Details
- Journal
- European Heart Journal - Imaging Methods and Practice
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1093/ehjimp/qyaf139
- Citations
- 2
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- National Science Foundation
- Pfizer
- Foundation for Cardiovascular Research
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Turun Yliopisto
- Sydäntutkimussäätiö