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Published in: European Journal of Nuclear Medicine and Molecular Imaging 13/2022

Open Access 25-07-2022 | Computed Tomography | Original Article

EARL compliance and imaging optimisation on the Biograph Vision Quadra PET/CT using phantom and clinical data

Authors: Joyce van Sluis, Johannes H. van Snick, Adrienne H. Brouwers, Walter Noordzij, Rudi A. J. O. Dierckx, Ronald J. H. Borra, Riemer H. J. A. Slart, Adriaan A. Lammertsma, Andor W. J. M. Glaudemans, Ronald Boellaard, Charalampos Tsoumpas

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 13/2022

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Abstract

Purpose

Current European Association of Nuclear Medicine (EANM) Research Ltd. (EARL) guidelines for the standardisation of PET imaging developed for conventional systems have not yet been adjusted for long axial field-of-view (LAFOV) systems. In order to use the LAFOV Siemens Biograph Vision Quadra PET/CT (Siemens Healthineers, Knoxville, TN, USA) in multicentre research and harmonised clinical use, compliance to EARL specifications for 18F-FDG tumour imaging was explored in the current study. Additional tests at various locations throughout the LAFOV and the use of shorter scan durations were included. Furthermore, clinical data were collected to further explore and validate the effects of reducing scan duration on semi-quantitative PET image biomarker accuracy and precision when using EARL-compliant reconstruction settings.

Methods

EARL compliance phantom measurements were performed using the NEMA image quality phantom both in the centre and at various locations throughout the LAFOV. PET data (maximum ring difference (MRD) = 85) were reconstructed using various reconstruction parameters and reprocessed to obtain images at shorter scan durations. Maximum, mean and peak activity concentration recovery coefficients (RC) were obtained for each sphere and compared to EARL standards specifications.
Additionally, PET data (MRD = 85) of 10 oncological patients were acquired and reconstructed using various reconstruction settings and reprocessed from 10 min listmode acquisition into shorter scan durations. Per dataset, SUVs were derived from tumour lesions and healthy tissues. ANOVA repeated measures were performed to explore differences in lesion SUVmax and SUVpeak. Wilcoxon signed-rank tests were performed to evaluate differences in background SUVpeak and SUVmean between scan durations. The coefficient of variation (COV) was calculated to characterise noise.

Results

Phantom measurements showed EARL compliance for all positions throughout the LAFOV for all scan durations. Regarding patient data, EARL-compliant images showed no clinically meaningful significant differences in lesion SUVmax and SUVpeak or background SUVmean and SUVpeak between scan durations. Here, COV only varied slightly.

Conclusion

Images obtained using the Vision Quadra PET/CT comply with EARL specifications. Scan duration and/or activity administration can be reduced up to a factor tenfold without the interference of increased noise.
Appendix
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Metadata
Title
EARL compliance and imaging optimisation on the Biograph Vision Quadra PET/CT using phantom and clinical data
Authors
Joyce van Sluis
Johannes H. van Snick
Adrienne H. Brouwers
Walter Noordzij
Rudi A. J. O. Dierckx
Ronald J. H. Borra
Riemer H. J. A. Slart
Adriaan A. Lammertsma
Andor W. J. M. Glaudemans
Ronald Boellaard
Charalampos Tsoumpas
Publication date
25-07-2022
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Nuclear Medicine and Molecular Imaging / Issue 13/2022
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-022-05919-1

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