A novel description of FDG excretion in the renal system: application to metformin-treated models

• Published in: Magma (New York, N.Y.) Vol. 59; no. 10; pp. 2469 - 2484
• Main Authors: Garbarino, S, Caviglia, G, Sambuceti, G, Benvenuto, F, Piana, M
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 21.05.2014; Springer Verlag
• Subjects: Algorithms; Animals; compartmental models; Computer Science; FDG excretion; Fluorodeoxyglucose F18 - metabolism; Glucose - metabolism; Image Processing; Kidney - diagnostic imaging; Kidney - drug effects; Kidney - metabolism; Likelihood Functions; metformin; Metformin - pharmacology; Mice; Models, Biological; parameter identification; Phosphorylation - drug effects; Positron-Emission Tomography; Radioactive Tracers; Signal and Image Processing
• ISSN: 0031-9155; 0968-5243; 1361-6560; 1352-8661
• DOI: 10.1088/0031-9155/59/10/2469

This paper introduces a novel compartmental model describing the excretion of 18F-fluoro-deoxyglucose (FDG) in the renal system and a numerical method based on the maximum likelihood for its reduction. This approach accounts for variations in FDG concentration due to water re-absorption in renal tubules and the increase of the bladder's volume during the FDG excretion process. From the computational viewpoint, the reconstruction of the tracer kinetic parameters is obtained by solving the maximum likelihood problem iteratively, using a non-stationary, steepest descent approach that explicitly accounts for the Poisson nature of nuclear medicine data. The reliability of the method is validated against two sets of synthetic data realized according to realistic conditions. Finally we applied this model to describe FDG excretion in the case of animal models treated with metformin. In particular we show that our approach allows the quantitative estimation of the reduction of FDG de-phosphorylation induced by metformin.