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Nature communications · 2025

AI-powered SPOT imaging for enhanced myocardial scar detection and quantification.

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Bustin Aurelien, Stuber Matthias, de Villedon de Naide Victor, Villegas-Martinez Manuel, Narceau Kalvin, Génisson Thaïs, Richard Théo, Gut Pauline, Ozenne Valery, Constantin Marion, Caluori Guido, Vlachos Konstantinos, Montier Géraldine, Pasche Daphné, Bedague Théo, Maes Jean-David, Sridi Soumaya, Bazin Claire, Dournes Gaël, Clément-Guinaudeau Stéphanie, Ben Lala Ilyes, Hocini Mélèze, Montaudon Michel, Jaïs Pierre, Cochet Hubert

Аннотация

Cardiovascular disease is the leading global cause of death, underscoring the need for accurate assessment of myocardial injury. The current gold standard, bright-blood late gadolinium enhanced MRI, suffers from poor contrast at the blood-scar interface, reducing sensitivity for subendocardial scar detection and limiting reproducibility. Moreover, reliance on expert manual analysis makes interpretation labor-intensive and variable. Here, we present SPOT, a multi-spectral bright- and black-blood imaging sequence that provides unprecedented scar-to-blood contrast and clear anatomical detail. Integrated with an artificial intelligence (AI) framework for automated image analysis, SPOT enables rapid, fully automated, and operator-independent quantification of myocardial injury. Validated in simulations, animal infarct models, and patients with heart disease, this combined imaging-AI platform delivers accurate detection and quantification in a single acquisition. This innovation presents significant opportunities for earlier diagnosis and enhanced therapeutic management of ischemic heart disease, with potential applications in a wide spectrum of other clinical settings.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты