AI-powered SPOT imaging increased the detection of scarred myocardial segments by 11.2% compared to conventional PSIR imaging and enabled rapid, fully automated quantification of myocardial injury.
Observational (n=450)
No
Does AI-powered SPOT imaging improve the detection and quantification of myocardial scar in animal models and patients with heart disease?
AI-powered SPOT imaging provides a novel, automated approach for accurate and operator-independent quantification of myocardial scar, potentially improving the assessment of ischemic heart disease.
Tasa de eventos absoluta: 466% vs 419%
valor p: p=0.018
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.
Bustin et al. (Wed,) conducted a observational in Ischemic heart disease (n=450). SPOT imaging with AI-powered automated analysis vs. Conventional bright-blood PSIR LGE imaging was evaluated on Detection of scarred myocardial segments (out of 800 total segments) (p=0.018). AI-powered SPOT imaging increased the detection of scarred myocardial segments by 11.2% compared to conventional PSIR imaging and enabled rapid, fully automated quantification of myocardial injury.