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Assessment of Porcine Bone Metabolism by Dynamic [¹⁸F]Fluoride Ion PET: Correlation with Bone Histomorphometry

Departments of General Surgery and Nuclear Medicine and Section of Radiopharmacy, University of Tübingen, Tübingen, Germany

View larger version (69K): [in a new window]   FIGURE 1. Transaxial [18F]fluoride ion PET of lumbar vertebra of mini pig. Image was obtained after intravenous injection of 11.0 MBq of [18F]fluoride ion per kilogram of body weight (frame between 110 and 120 min). Oval ROI (1.1 cm2) is defined in center of vertebral body (image scale, 0–206 kBq/cm3).

View larger version (15K): [in a new window]   FIGURE 2. Typical time courses of decay-corrected activities from 18F in arterial plasma (•) and bone tissue () of ROI in Figure 1. Dotted line with represents least squares fit to measured tissue data. Dashed line with illustrates unbound tracer activity within bone tissue, and dashed line with illustrates bound tracer activity within bone tissue.

View larger version (13K): [in a new window]   FIGURE 3. Plot of macroparameters for [18F]fluoride ion influx rates Ki and Kpat. Data represent mean of 6 ROIs with their respective SDs as error bars in both directions (x- and y-axes). Linear regression analysis yielded highly significant correlation (y = 0.003 + 0.87x; r2 = 0.92; P < 0.001).

View larger version (13K): [in a new window]   FIGURE 4. Plot of blood flow estimates f and [18F]fluoride ion influx rate Ki. Data represent mean of 6 ROIs with their respective SDs as error bars in both directions (x- and y-axes). Linear regression analysis yielded highly significant correlation (y = 0.023 + 0.32x; r2 = 0.74; P < 0.001).

View larger version (12K): [in a new window]   FIGURE 5. Plot of MAR obtained from iliac crest bone biopsies versus fluoride volume flux (Kflux) in 9 mini pigs. Data represent mean of 20 sites of particular bone biopsy and 6 ROIs with their respective SDs as error bars in both directions (x- and y-axes). Linear regression analysis yielded highly significant correlation (y = -3.2 + 2.23x; r2 = 0.65; P < 0.01).