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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月17日

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

摘要

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.