PT - JOURNAL ARTICLE AU - Alexander Matthies AU - Marc Hickeson AU - Andrew Cuchiara AU - Abass Alavi TI - Dual Time Point <sup>18</sup>F-FDG PET for the Evaluation of Pulmonary Nodules DP - 2002 Jul 01 TA - Journal of Nuclear Medicine PG - 871--875 VI - 43 IP - 7 4099 - http://jnm.snmjournals.org/content/43/7/871.short 4100 - http://jnm.snmjournals.org/content/43/7/871.full SO - J Nucl Med2002 Jul 01; 43 AB - 18F-FDG PET has reached widespread application in the assessment of pulmonary nodules. This study compares the diagnostic accuracy of standard 18F-FDG PET scanning with those of dual time point 18F-FDG PET scanning. Methods: Thirty-six patients (21 women, 15 men; mean age, 67 y; range, 36–88 y) with 38 known or suspected malignant pulmonary nodules underwent PET of the thorax at 2 time points: scan 1 at 70 min (range, 56–110 min) and scan 2 at 123 min (range, 100–163 min) after the intravenous injection of 2.5 MBq 18F-FDG per kilogram of body weight. All scanning was performed on a dedicated C-PET scanner. The mean interval between the scans was 56 min (range, 49–64 min). Regions of interest were overlaid onto each fully corrected image in the areas of the radiographically known lung densities. The standardized uptake values (SUVs) were calculated for both time points. Results: Surgical pathology and follow-up revealed 19 patients with 20 malignant tumors, whereas 16 patients had benign lesions. The tumor SUVs (mean ± SD) were 3.66 ± 1.95 (scan 1) and 4.43 ± 2.43 (scan 2) (20.5% ± 8.1% increase; P &lt; 0.01). Four of 20 malignant tumors had SUVs of &lt;2.5 on scan 1 (range, 1.12–1.69). Benign lesions had SUVs of 1.14 ± 0.64 (scan 1) and 1.11 ± 0.70 (scan 2) (P = not significant). Standard PET scanning (single time point) with a threshold SUV of 2.5 (at time point 1) reached a sensitivity of 80% and a specificity of 94%; dual time point scanning with a threshold value of 10% increase between scan 1 and scan 2 reached a sensitivity of 100% with a specificity of 89%. Conclusion: Dual time point 18F-FDG PET results in a very high sensitivity and specificity for detection of malignant lung tumors.