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Abstract #4183

Detection and Classification of Myocardial Injury Using Hybrid CMR/FDG-PET Imaging in Long COVID Patients

Patrick Krumm1, Helmut Dittmann2, Jan Michael Brendel1, Konstantin Nikolaou1, Meinrad Gawaz3, Christian la Fougère2, and Simon Greulich3
1Diagnostic and Interventional Radiology, University of Tuebingen, Tübingen, Germany, 2Nuclear Medicine and Clinical Molecular Imaging, University of Tuebingen, Tübingen, Germany, 3Cardiology and Angiology, University of Tuebingen, Tübingen, Germany

Synopsis

Keywords: Inflammation, Infiltration, COVID-19

Motivation: Long COVID is associated with a significant prevalence of myocardial injury, yet its detection and classification using advanced imaging remain underexplored.

Goal(s): To assess the feasibility and diagnostic value of hybrid CMR/FDG-PET imaging in detecting and classifying myocardial injury in long COVID patients.

Approach: We applied a multiparametric imaging protocol, using PSIR-LGE, MOLLI 5(3)3 T1, and T2-prepared sequences, alongside FDG-PET, to categorize myocardial involvement as chronic active, healed, or absent.

Results: In 32 patients, hybrid CMR/FDG-PET classified 28% with chronic active injury, 53% with healed injury, and 19% with no injury, providing crucial insights for targeted management in long COVID.

Impact: This study establishes hybrid CMR/FDG-PET as a valuable diagnostic tool for precise myocardial injury characterization in long COVID, enabling tailored treatment strategies. It opens avenues for investigating chronic myocardial inflammation's long-term effects, potentially transforming patient management and outcomes.

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