Machine Learning–Based CCTA-Guided Intensive Atheroprotective Strategy in a Middle-Aged INOCA Patient With Challenging Arterial Features
INOCA with symptomatic myocardial bridging and inflammation may require off-label, intensive therapy. ML-enhanced multimodal imaging facilitates dynamic risk stratification and tailored treatment adjustments.
Authors
- Pim van der Harst (ORCID: https://orcid.org/0000-0002-2713-686X)
- Marco Guglielmo (ORCID: https://orcid.org/0000-0003-1718-9949)
- Avtandil Mikhailovich Babunashvili (ORCID: https://orcid.org/0000-0003-2269-7059)
- Alexey Sozykin (ORCID: https://orcid.org/0000-0002-2570-5758)
- Damini Dey (ORCID: https://orcid.org/0000-0003-2236-6970)
- Nicola Gaibazzi (ORCID: https://orcid.org/0000-0002-2207-3388)
- Gianluca Pontone (ORCID: https://orcid.org/0000-0002-1339-6679)
- Alexander Kharlamov (ORCID: https://orcid.org/0000-0003-4631-1261)
- Priscilla McElhinney (ORCID: https://orcid.org/0000-0002-7642-6804)
- Pieter Kitslaar (ORCID: https://orcid.org/0000-0003-3453-2841)
Institutions
- Cedars-Sinai Medical Center (US)
- Sechenov University (RU)
- University of Milan (IT)
- University Medical Center Utrecht (NL)
- Centro Cardiologico Monzino (IT)
- Centre for Medical Systems Biology (NL)
- Ospedale di Parma (IT)
- Russian Scientific Center of Surgery (RU)
- The Hague University of Applied Sciences (NL)
Publication Details
- Journal
- JACC Case Reports
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1016/j.jaccas.2025.105907
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00