Prospective data-driven respiratory gating of [68Ga]Ga-DOTATOC PET/CT
Abstract 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 [68Ga]Ga-DOTATOC and [18F]FDG examinations. In addition, for the [68Ga]Ga-DOTATOC examinations, tracer uptake quantitation and liver l...
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doaj-70a102bdff2c4fc4941797aba265746a2021-04-04T11:23:20ZengSpringerOpenEJNMMI Research2191-219X2021-03-011111910.1186/s13550-021-00775-wProspective data-driven respiratory gating of [68Ga]Ga-DOTATOC PET/CTJonathan Sigfridsson0Elin Lindström1Victor Iyer2Maria Holstensson3Irina Velikyan4Anders Sundin5Mark Lubberink6PET Centre, Uppsala University HospitalMedical Physics, Uppsala University HospitalPET Centre, Uppsala University HospitalMedical Radiation Physics and Nuclear Medicine, Karolinska University HospitalPET Centre, Uppsala University HospitalPET Centre, Uppsala University HospitalMedical Physics, Uppsala University HospitalAbstract 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 [68Ga]Ga-DOTATOC and [18F]FDG examinations. In addition, for the [68Ga]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 [68Ga]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 [68Ga]Ga-DOTATOC was conducted and compared to [18F]FDG data. Measurements of SUVmax, SUVmean, and tumour volume were performed on [68Ga]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 [68Ga]Ga-DOTATOC as compared to 1.4 for [18F]FDG. In total, 34 tumours were evaluated in a quantitative analysis. An increase of 25.3% and 28.1%, respectively, for SUVmax (P < 0.0001) and SUVmean (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 [68Ga]Ga-DOTATOC PET/CT. DDG yielded significantly higher SUVmax and SUVmean values and smaller tumour volumes, as compared to non-gated images.https://doi.org/10.1186/s13550-021-00775-wPET/CTDOTATOCRespiratory gatingData-driven gating |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jonathan Sigfridsson Elin Lindström Victor Iyer Maria Holstensson Irina Velikyan Anders Sundin Mark Lubberink |
spellingShingle |
Jonathan Sigfridsson Elin Lindström Victor Iyer Maria Holstensson Irina Velikyan Anders Sundin Mark Lubberink Prospective data-driven respiratory gating of [68Ga]Ga-DOTATOC PET/CT EJNMMI Research PET/CT DOTATOC Respiratory gating Data-driven gating |
author_facet |
Jonathan Sigfridsson Elin Lindström Victor Iyer Maria Holstensson Irina Velikyan Anders Sundin Mark Lubberink |
author_sort |
Jonathan Sigfridsson |
title |
Prospective data-driven respiratory gating of [68Ga]Ga-DOTATOC PET/CT |
title_short |
Prospective data-driven respiratory gating of [68Ga]Ga-DOTATOC PET/CT |
title_full |
Prospective data-driven respiratory gating of [68Ga]Ga-DOTATOC PET/CT |
title_fullStr |
Prospective data-driven respiratory gating of [68Ga]Ga-DOTATOC PET/CT |
title_full_unstemmed |
Prospective data-driven respiratory gating of [68Ga]Ga-DOTATOC PET/CT |
title_sort |
prospective data-driven respiratory gating of [68ga]ga-dotatoc pet/ct |
publisher |
SpringerOpen |
series |
EJNMMI Research |
issn |
2191-219X |
publishDate |
2021-03-01 |
description |
Abstract 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 [68Ga]Ga-DOTATOC and [18F]FDG examinations. In addition, for the [68Ga]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 [68Ga]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 [68Ga]Ga-DOTATOC was conducted and compared to [18F]FDG data. Measurements of SUVmax, SUVmean, and tumour volume were performed on [68Ga]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 [68Ga]Ga-DOTATOC as compared to 1.4 for [18F]FDG. In total, 34 tumours were evaluated in a quantitative analysis. An increase of 25.3% and 28.1%, respectively, for SUVmax (P < 0.0001) and SUVmean (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 [68Ga]Ga-DOTATOC PET/CT. DDG yielded significantly higher SUVmax and SUVmean values and smaller tumour volumes, as compared to non-gated images. |
topic |
PET/CT DOTATOC Respiratory gating Data-driven gating |
url |
https://doi.org/10.1186/s13550-021-00775-w |
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