Clinical Importance of All the Characteristics of Late Gadolinium Enhancement from Acquisition to Expert and Artificial Intelligence Analysis: State-of-the-Art.
Authors
Affiliations (12)
Affiliations (12)
- MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, AP-HP, 75010, Paris, France; Université Paris Cité, Inserm MASCOT - UMRS 942, 75010, Paris, France; Department of Cardiology, University Hospital of Lariboisiere, Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France; Cardiology Department, CHU Clermont-Ferrand, F-63000 Clermont-Ferrand, France.
- MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, AP-HP, 75010, Paris, France; Université Paris Cité, Inserm MASCOT - UMRS 942, 75010, Paris, France; Department of Cardiology, University Hospital of Lariboisiere, Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France; Department of Cardiology, Hôpital universitaire de Bruxelles, Hôpital Erasme, Université libre de Bruxelles, Brussels, Belgium.
- MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, AP-HP, 75010, Paris, France; Université Paris Cité, Inserm MASCOT - UMRS 942, 75010, Paris, France; Department of Cardiology, University Hospital of Lariboisiere, Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France; Department of Radiology, University Hospital of Lariboisiere, Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France.
- Heart Institute (InCor), University of São Paulo Medical School. Sao Paulo- SP, 05403-000, Brazil.
- MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, AP-HP, 75010, Paris, France; Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France.
- MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, AP-HP, 75010, Paris, France; Université Paris Cité, PARCC, INSERM, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, F-75015 Paris, France.
- MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, AP-HP, 75010, Paris, France; Department of Cardiovascular Radiology, Univ. Lille, CHU Lille, Institut Pasteur de Lille, U1011- EGID, F-59000 Lille, France.
- MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, AP-HP, 75010, Paris, France; Normandie Université, UNIROUEN, Inserm U1096, Rouen University Hospital, Department of Radiology, F 76000, Rouen, France.
- MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, AP-HP, 75010, Paris, France; Department of Cardiology, Amiens University Hospital, 80000, Amiens, France.
- Charité Medical Faculty of the Humboldt University Berlin, ECRC, 13125 Berlin, Germany; Helios-Clinis Berlin-Buch Department Cardiology and Nephrology Berlin, Germany, DZHK Partnersite Berlin, Germany.
- Cardiology Division, Department of Medicine, Johns Hopkins Hospital, 600 North Wolfe Street, MD 21287, United States of America.
- MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory and Artificial Intelligence, AP-HP, 75010, Paris, France; Université Paris Cité, Inserm MASCOT - UMRS 942, 75010, Paris, France; Department of Cardiology, University Hospital of Lariboisiere, Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France; Department of Radiology, University Hospital of Lariboisiere, Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France. Electronic address: [email protected].
Abstract
Late gadolinium enhancement (LGE) assessed by cardiovascular magnetic resonance is the cornerstone in the assessment of myocardial tissue characterization, providing crucial diagnostic and prognostic information across a wide spectrum of cardiac conditions. While LGE is traditionally evaluated for its presence and extent, a comprehensive assessment of its diverse characteristics, called "LGE granularity"-including its location, extent, and pattern-offers deeper insights into myocardial pathophysiology. The clinical significance of LGE is influenced by various factors, ranging from acquisition protocols including choice of contrast-media and post-processing techniques to interpretation by expert readers and, more recently, artificial intelligence (AI)-based analysis. Advances in imaging protocols have refined LGE detection and quantification, improving diagnostic accuracy and reproducibility. Furthermore, AI approaches are revolutionizing LGE assessment by enabling automated segmentation, feature extraction, and risk stratification. Despite the widespread clinical use of LGE, challenges remain in standardizing acquisition parameters and harmonizing interpretation criteria across centers. Additionally, the integration of AI into clinical workflows raises important considerations regarding validation, generalizability, and physician acceptance. However, emerging evidence suggests that AI-based LGE analysis may improve prognostic modeling, facilitate earlier disease detection, and enhance personalized therapeutic decision-making. This review provides a state-of-the-art of LGE's technical, interpretative, and prognostic aspects, highlighting the role of AI in myocardial tissue characterization. By bridging traditional expert analysis with cutting-edge computational techniques, the future of LGE assessment aims to refine cardiac risk stratification and guide precision medicine in cardiology.