The Role of Quantitative ¹⁸F-FDG PET Studies for the Differentiation of Malignant and Benign Bone Lesions

(A) Bayesian analysis applied to all data shows that probabilities of true-positive (TP) and false-negative (FN) results using 4 different parameters (red curve, SUV; blue curve, fractal dimension; green curve, SUV + fractal dimension; purple curve, all parameters) for evaluation are dependent on prevalence of disease. Solid curves represent posterior probability of true-positive results and dashed curves represent posterior probability of false-negative results. (B) Discriminant curves (difference of absolute values between posterior probability true-positive and posterior probability false-negative) for 4 different parameters of A indicating profit in information using PET. Full kinetic analysis (purple curve) is superior to all other parameters and provides maximum information at low level of prior probability.