Prospective data-driven respiratory gating of [ 68 Ga]Ga-DOTATOC PET/CT

Aim The aim of this prospective study was to evaluate a data-driven gating software’s performance, in terms of identifying the respiratory signal, comparing [ 68 Ga]Ga-DOTATOC and [ 18 F]FDG examinations. In addition, for the [ 68 Ga]Ga-DOTATOC examinations, tracer uptake quantitation and liver lesion detectability were assessed. Methods Twenty-four patients with confirmed or suspected neuroendocrine tumours underwent whole-body [ 68 Ga]Ga-DOTATOC PET/CT examinations. Prospective DDG was applied on all bed positions and respiratory motion correction was triggered automatically when the detected respiratory signal exceeded a certain threshold ( R value ≥ 15), at which point the scan time for that bed position was doubled. These bed positions were reconstructed with quiescent period gating (QPG), retaining 50% of the total coincidences. A respiratory signal evaluation regarding the software’s efficacy in detecting respiratory motion for [ 68 Ga]Ga-DOTATOC was conducted and compared to [ 18 F]FDG data. Measurements of SUV max, SUV mean , and tumour volume were performed on [ 68 Ga]Ga-DOTATOC PET and compared between gated and non-gated images. Results The threshold of R ≥ 15 was exceeded and gating triggered on mean 2.1 bed positions per examination for [ 68 Ga]Ga-DOTATOC as compared to 1.4 for [ 18 F]FDG. In total, 34 tumours were evaluated in a quantitative analysis. An increase of 25.3% and 28.1%, respectively, for SUV max ( P < 0.0001) and SUV mean ( P < 0.0001), and decrease of 21.1% in tumour volume ( P < 0.0001) was found when DDG was applied. Conclusions High respiratory signal was exclusively detected in bed positions where respiratory motion was expected, indicating reliable performance of the DDG software on [ 68 Ga]Ga-DOTATOC PET/CT. DDG yielded significantly higher SUV max and SUV mean values and smaller tumour volumes, as compared to non-gated images.