Lesion-Level Association Between Artificial Intelligence–Derived Coronary Calcium Volume and Plaque Vulnerability
Extensively calcified lesions are typically at low risk for lesion-level acute events, which may be related to less vulnerable plaques.
Authors
- Pierandrea Cancian (ORCID: https://orcid.org/0000-0001-5191-6180)
- Jan‐Quinten Mol (ORCID: https://orcid.org/0000-0002-8609-1550)
- Jos Thannhauser (ORCID: https://orcid.org/0000-0001-8605-0436)
- Bram van Ginneken (ORCID: https://orcid.org/0000-0003-2028-8972)
- Joske van der Zande (ORCID: https://orcid.org/0000-0002-4998-6363)
- Rick H. J. A. Volleberg (ORCID: https://orcid.org/0000-0001-7471-1006)
- Simone Saitta (ORCID: https://orcid.org/0000-0002-3974-5945)
- Tomasz Roleder (ORCID: https://orcid.org/0000-0002-1370-7369)
- Xiaojin Gu
- Niels van Royen
- Ruben G.A. van der Waerden (ORCID: https://orcid.org/0009-0007-8462-1216)
- Thijs J. Luttikholt (ORCID: https://orcid.org/0000-0002-7706-5000)
- Leah Heil
- Ivana Išgum
- Clara I. Sánchez
Institutions
- Wrocław University of Science and Technology (PL)
- Mayo Clinic (US)
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- Amsterdam Neuroscience (NL)
- Amsterdam University Medical Centers (NL)
- AGH University of Krakow (PL)
- University of Amsterdam (NL)
Publication Details
- Journal
- JACC Advances
- Published
- 2026-07-28
- DOI
- https://doi.org/10.1016/j.jacadv.2026.103077
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00