Quantitative comparison of data-driven gating and external hardware gating for 18F-FDG PET-MRI in patients with esophageal tumors

European Journal of Hybrid Imaging - Tập 5 - Trang 1-11 - 2021
Sofia Kvernby1,2, Nafsika Korsavidou Hult1,3, Elin Lindström1,2, Jonathan Sigfridsson3, Gustav Linder4, Jakob Hedberg4, Håkan Ahlström1,3,5, Tomas Bjerner1,3, Mark Lubberink1,2
1Radiology & Nuclear Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
2Medical Physics, Uppsala University Hospital, Uppsala, Sweden
3Medical Imaging Centre, Uppsala University Hospital, Uppsala, Sweden
4Section of Gastrointestinal Surgery, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
5Antaros Medical AB, Mölndal, Sweden

Tóm tắt

Respiratory motion during PET imaging reduces image quality. Data-driven gating (DDG) based on principal component analysis (PCA) can be used to identify respiratory signals. The use of DDG, without need for external devices, would greatly increase the feasibility of using respiratory gating in a routine clinical setting. The objective of this study was to evaluate data-driven gating in relation to external hardware gating and regular static image acquisition on PET-MRI data with respect to SUVmax and lesion volumes. Sixteen patients with esophageal or gastroesophageal cancer (Siewert I and II) underwent a 6-min PET scan on a Signa PET-MRI system (GE Healthcare) 1.5–2 h after injection of 4 MBq/kg 18F-FDG. External hardware gating was done using a respiratory bellow device, and DDG was performed using MotionFree (GE Healthcare). The DDG raw data files and the external hardware-gating raw files were created on a Matlab-based toolbox from the whole 6-min scan LIST-file. For comparison, two 3-min static raw files were created for each patient. Images were reconstructed using TF-OSEM with resolution recovery with 2 iterations, 28 subsets, and 3-mm post filter. SUVmax and lesion volume were measured in all visible lesions, and noise level was measured in the liver. Paired t-test, linear regression, Pearson correlation, and Bland-Altman analysis were used to investigate difference, correlation, and agreement between the methods. A total number of 30 lesions were included in the study. No significant differences between DDG and external hardware-gating SUVmax or lesion volumes were found, but the noise level was significantly reduced in the DDG images. Both DDG and external hardware gating demonstrated significantly higher SUVmax (9.4% for DDG, 10.3% for external hardware gating) and smaller lesion volume (− 5.4% for DDG, − 6.6% for external gating) in comparison with non-gated static images. Data-driven gating with MotionFree for PET-MRI performed similar to external device gating for esophageal lesions with respect to SUVmax and lesion volume. Both gating methods significantly increased the SUVmax and reduced the lesion volume in comparison with non-gated static acquisition. DDG resulted in reduced image noise compared to external device gating and static images.

Tài liệu tham khảo

Bertolli O, Sanderson T, Alnaim A, Wan MYS, Wollenweber S, Stearns C et al (2018) Evaluation of data-driven respiratory gating in PET with PCA. J Nucl Med 59(supplement 1):9

Büther F, Jones J, Seifert R, Stegger L, Schleyer P, Schäfers M (2020) Clinical evaluation of a data-driven respiratory gating algorithm for whole-body positron emission tomography with continuous bed motion. J Nucl Med 61(10):1520–1527

Büther F, Vehren T, Schäfers KP, Schäfers M (2016) Impact of data-driven respiratory gating in clinical PET. Radiology 281(1):229–238. https://doi.org/10.1148/radiol.2016152067

Fürst S, Grimm R, Hong I, Souvatzoglou M, Casey ME, Schwaiger M et al (2015) Motion correction strategies for integrated PET/MR. J Nucl Med 56(2):261–269. https://doi.org/10.2967/jnumed.114.146787

Manber R, Thielemans K, Hutton BF, Barnes A, Ourselin S, Arridge S, O'Meara C, Wan S, Atkinson D (2015) Practical PET respiratory motion correction in clinical PET/MR. J Nucl Med 56(6):890–896. https://doi.org/10.2967/jnumed.114.151779

Soussan M, Comtat C, Brulon V, Helal O, Buvat I. Dual-modality respiratory triggering is feasible during a routine PET/MR protocol. J Nucl Med 2016;57(supplement 2):242–242. [cited 2020 Oct 29]

Walker MD, Morgan AJ, Bradley KM, McGowan DR (2020) Data driven respiratory gating outperforms device-based gating for clinical FDG PET/CT. J Nucl Med

Würslin C, Schmidt H, Martirosian P, Brendle C, Boss A, Schwenzer NF et al (2013) Respiratory motion correction in oncologic PET using T1-weighted MR imaging on a simultaneous whole-body PET/MR system. J Nucl Med 54(3):464–471. https://doi.org/10.2967/jnumed.112.105296