A model-driven approach to normalize T1 values for patient-specific factors improved discrimination of disease state between type 1 diabetic patients and normal subjects.
Observational
Quantitative T(1) mapping of delayed gadolinium-enhanced cardiac magnetic resonance imaging has shown promise in identifying diffuse myocardial fibrosis. Despite careful control of magnetic resonance imaging parameters, comparison of T(1) times between different patients may be problematic because of patient specific factors such as gadolinium dose, differing glomerular filtration rates, and patient specific delay times. In this work, a model driven approach to account for variations between patients to allow for comparison of T(1) data is provided. Kinetic model parameter values were derived from healthy volunteer time-contrast curves. Correction values for the factors described above were used to normalize T(1) values to a matched state. Examples of pre- and postcorrected values for a pool of normal subjects and in a patient cohort of type 1 diabetic patients shows tighter clustering and improved discrimination of disease state.
Gai et al. (Thu,) conducted a observational in Diffuse myocardial fibrosis / Type 1 diabetes. Model-driven T1 normalization vs. Uncorrected T1 values was evaluated on Discrimination of disease state. A model-driven approach to normalize T1 values for patient-specific factors improved discrimination of disease state between type 1 diabetic patients and normal subjects.