Clinical evaluation of data-driven respiratory gating for PET/CT in an oncological cohort of 149 patients: impact on image quality and patient management.

Autor: Messerli M; Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.; University of Zurich, Zurich, Switzerland., Liberini V; Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland., Grünig H; Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.; University of Zurich, Zurich, Switzerland., Maurer A; Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.; University of Zurich, Zurich, Switzerland., Skawran S; Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.; University of Zurich, Zurich, Switzerland., Lohaus N; University of Zurich, Zurich, Switzerland.; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland., Husmann L; Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.; University of Zurich, Zurich, Switzerland., Orita E; Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland., Trinckauf J; Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland., Kaufmann PA; Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.; University of Zurich, Zurich, Switzerland., Huellner MW; Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.; University of Zurich, Zurich, Switzerland.
Jazyk: angličtina
Zdroj: The British journal of radiology [Br J Radiol] 2021 Oct 01; Vol. 94 (1126), pp. 20201350. Date of Electronic Publication: 2021 Sep 14.
DOI: 10.1259/bjr.20201350
Abstrakt: Objectives: To evaluate the impact of fully automatic motion correction by data-driven respiratory gating (DDG) on positron emission tomography (PET) image quality, lesion detection and patient management.
Materials and Methods: A total of 149 patients undergoing PET/CT for cancer (re-)staging were retrospectively included. Patients underwent a PET/CT on a digital detector scanner and for every patient a PET data set where DDG was enabled (PET DDG ) and as well as where DDG was not enabled (PET nonDDG ) was reconstructed. All PET data sets were evaluated by two readers which rated the general image quality, motion effects and organ contours. Further, both readers reviewed all scans on a case-by-case basis and evaluated the impact of PET DDG on additional apparent lesion, change of report, and change of management.
Results: In 85% ( n = 126) of the patients, at least one bed position was acquired using DDG, resulting in mean scan time increase of 4:37 min per patient in the whole study cohort ( n = 149). General image quality was not rated differently for PET nonDDG and PET DDG images ( p = 1.000) while motion effects ( i.e. indicating general blurring) was rated significantly lower in PET DDG images and organ contours, including liver and spleen, were rated significantly sharper using PET DDG as compared to PET nonDDG (all p < 0.001). In 27% of patients, PET DDG resulted in a change of the report and in a total of 12 cases (8%), PET DDG resulted in a change of further clinical management.
Conclusion: Deviceless DDG provided reliable fully automatic motion correction in clinical routine and increased lesion detectability and changed management in a considerable number of patients.
Advances in Knowledge: DDG enables PET/CT with respiratory gating to be used routinely in clinical practice without external gating equipment needed.
Databáze: MEDLINE
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