Machine Learning–Based CCTA-Guided Intensive Atheroprotective Strategy in a Middle-Aged INOCA Patient With Challenging Arterial Features

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Authors

Alexander Kharlamov · The Hague University of Applied Sciences

Priscilla McElhinney · Cedars-Sinai Medical Center

Pieter Kitslaar · Centre for Medical Systems Biology

Nicola Gaibazzi · Ospedale di Parma

Marco Guglielmo · University Medical Center Utrecht

Pim van der Harst · University Medical Center Utrecht

А. М. Бабунашвили

Abstract

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.

Topics & Keywords

Cerebrovascular and Carotid Artery Diseases Coronary Interventions and Diagnostics Aortic Thrombus and Embolism

Publication Details

Published in: JACC Case Reports

Volume 30, Issue 40, pp. 105907-105907

DOI: 10.1016/j.jaccas.2025.105907

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Machine Learning–Based CCTA-Guided Intensive Atheroprotective Strategy in a Middle-Aged INOCA Patient With Challenging Arterial Features

Authors

Abstract

Topics & Keywords

Publication Details