[Validation of Quantitative Accuracy and Variability in Lu Imaging Using Monte Carlo Simulation].

PURPOSE

To predict side effects and optimize injection doses in the dosimetry of Lu imaging, highly accurate quantitative SPECT images are required. Monte Carlo simulations were performed to verify the accuracy and variability of quantitative values for Lu imaging under various imaging conditions.

METHODS

SPECT data of NEMA body phantom were assumed to simulate intrahepatic tumors 6 h after administration of 7.4 GBq of Lu-Dotatate. SPECT data were acquired using the SIMIND program with different combinations of collimators and energy windows. For variability evaluation, 30 SPECT images with Poisson noise were generated for each acquisition time. The relative error was evaluated for accuracy evaluation, and the coefficient of variation was estimated for variability evaluation.

RESULTS

The accuracy of BG quantification was less than 10% relative error. The accuracy of hot sphere quantification was highest with the combination of MEGP and an energy window of 208 keV±10%. However, the accuracy of hot sphere quantification decreased significantly with decreasing hot sphere diameter. Variability varied with imaging conditions and improved with longer acquisition time.

CONCLUSION

Monte Carlo simulations revealed the accuracy and variability of quantitative values for each SPECT imaging condition for Lu imaging.