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Objective . To calculate the time sensitivity factor ( S ) for discriminating the solitary pulmonary nodule (SPN) by FDG PET at different time points.  Methods . The multiple time-point FDG PET images from 41 patients for evaluating SPN seen on chest X-ray or CT were prospectively analyzed to calculate and evaluate  S  against the gold standard of tissue histology ( n  = 38) or long term clinicoradiographic follow-up ( n  = 3). The maximal standardized uptake values (SUV) at the 3 hourly time points were measured. The  S  was calculated using  S  =  d {ln⁡(SUV)}/ d {ln⁡( t )} at 3 different time intervals. ROC analysis of the  S  parameters was performed to evaluate the optimal cut-off value and their accuracy in classifying the SPN.  Results . The SUV in malignant SPN was higher than the corresponding value in benign lesions at all 3 hourly time points ( P  < 0.003). The  S  parameters using 3 different time intervals all significantly separated the two groups ( P  < 0.0005) with an optimal cut-off point near the theoretical value of zero with a high sensitivity of 100% and specificity of 86%.  Conclusion . The  S  can be calculated for SPNs using multiple time-point FDG PET, providing a tumor characteristic metabolic parameter with high discrimination power using a simple positive value representing malignancy.

biomed research international

Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter by<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mrow><mml:mi mathvariant="bold">F</mml:mi></mml:mrow><mml:mrow><mml:mn mathvariant="bold">18</mml:mn></mml:mrow></mml:mrow></mml:math>-FDG PET

Time Sensitivity Factor of Single Pulmonary Nodule: A New Cancer Characteristic Metabolic Parameter byF18-FDG PET