ABSTRACT
BACKGROUND: The European Association of Nuclear Medicine procedure guidelines for whole-body fluorodeoxyglucose positron-emission tomography (FDG-PET) scanning prescribe a dose proportional to the patient's body mass. However, clinical practice shows degraded image quality in obese patients indicating that using an FDG dose proportional to body mass does not overcome size-related degradation of the image quality. The aim of this study was to optimize the administered FDG dose as a function of the patient's body mass or a different patient-dependent parameter, providing whole-body FDG-PET images of a more constant quality. METHODS: Using a linear relation between administered dose and body mass, FDG-PET imaging was performed on two PET/computed tomography scanners (Biograph TruePoint and Biograph mCT, Siemens). Image quality was assessed by the signal-to-noise ratio (SNR) in the liver in 102 patients with a body mass of 46 to 130 kg. Moreover, the best correlating patient-dependent parameter was derived, and an optimized FDG dose regimen was determined. This optimized dose regimen was validated on the Biograph TruePoint system in 42 new patients. Furthermore, this relation was verified by a simulation study, in which patients with different body masses were simulated with cylindrical phantoms. RESULTS: As expected, both PET systems showed a significant decrease in SNR with increasing patient's body mass when using a linear dosage. When image quality was fitted to the patient-dependent parameters, the fit with the patient's body mass had the highest R2. The optimized dose regimen was found to be Anew= c/t × m2, where m is the body mass, t is the acquisition time per bed position and c is a constant (depending on scanner type). Using this relation, SNR no longer varied with the patient's body mass. This quadratic relation between dose and body mass was confirmed by the simulation study. CONCLUSION: A quadratic relation between FDG dose and the patient's body mass is recommended. Both simulations and clinical observations confirm that image quality remains constant across patients when this quadratic dose regimen is used.
ABSTRACT
UNLABELLED: Tumor hypoxia hampers the efficacy of radiotherapy because of its increased resistance to ionizing radiation. The aim of the present study was to estimate the potential added clinical value of the specific hypoxia tracer (18)F-fluoroazomycin arabinoside ((18)F-FAZA) over commonly used (18)F-FDG in the treatment of advanced-stage non-small cell lung cancer (NSCLC). METHODS: Eleven patients with stage III or stage IV NSCLC underwent (18)F-FDG and (18)F-FAZA PET before chemoradiotherapy. The maximum standardized uptake value (SUVmax) was used to depict (18)F-FDG uptake, and the tumor-to-background (T/B) ratio and tumor fractional hypoxic volume (FHV) were used to quantify hypoxia. The spatial correlation between (18)F-FDG and (18)F-FAZA uptake values was investigated using voxel-based analysis. Partial-volume correction was applied. RESULTS: All 11 patients showed clear uptake of (18)F-FAZA in the primary tumor. However, different patterns of (18)F-FDG and (18)F-FAZA uptake distributions were observed and varied widely among different tumors. No significant correlation was observed between (18)F-FDG SUVmax and (18)F-FAZA T/B ratio (P = 0.055). The median FHV of 1.4 was 48.4% (range, 5.0-91.5). A significant positive correlation was found between the (18)F-FAZA T/B ratio and FHV of 1.4 (P < 0.001). There was no correlation between the lesion size and FHV or between the (18)F-FDG SUVmax and FHV. The pattern of tumoral (18)F-FDG uptake was rather homogeneous, whereas (18)F-FAZA uptake was more heterogeneous, suggesting that (18)F-FAZA identifies hypoxic areas within metabolically active areas of tumor. A significant correlation between (18)F-FDG SUVmax and lesion size (P = 0.002) was observed. CONCLUSION: (18)F-FAZA PET imaging is able to detect heterogeneous distributions of hypoxic subvolumes out of homogeneous (18)F-FDG background in a clinical setting. Therefore, (18)F-FAZA might be considered a tool for guiding dose escalation to the hypoxic fraction of the tumor.
