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SUV variability in EARL-accredited conventional and digital PET

Authors :
Daniëlle Koopman
Pieter L. Jager
Cornelis H. Slump
Siert Knollema
Jorn A. van Dalen
Source :
EJNMMI Research, Vol 9, Iss 1, Pp 1-8 (2019)
Publication Year :
2019
Publisher :
SpringerOpen, 2019.

Abstract

Abstract Background A high SUV-reproducibility is crucial when different PET scanners are in use. We evaluated the SUV variability in whole-body FDG-PET scans of patients with suspected or proven cancer using an EARL-accredited conventional and digital PET scanner. In a head-to-head comparison we studied images of 50 patients acquired on a conventional scanner (cPET, Ingenuity TF PET/CT, Philips) and compared them with images acquired on a digital scanner (dPET, Vereos PET/CT, Philips). The PET scanning order was randomised and EARL-compatible reconstructions were applied. We measured SUVmean, SUVpeak, SUVmax and lesion diameter in up to 5 FDG-positive lesions per patient. The relative difference ΔSUV between cPET and dPET was calculated for each SUV-parameter. Furthermore, we calculated repeatability coefficients, reflecting the 95% confidence interval of ΔSUV. Results We included 128 lesions with an average size of 19 ± 14 mm. Average ΔSUVs were 6-8% with dPET values being higher for all three SUV-parameters (p < 0.001). ΔSUVmax was significantly higher than ΔSUVmean (8% vs. 6%, p = 0.002) and than ΔSUVpeak (8% vs. 7%, p = 0.03). Repeatability coefficients across individual lesions were 27% (ΔSUVmean and ΔSUVpeak) and 33% (ΔSUVmax) (p < 0.001). Conclusions With EARL-accredited conventional and digital PET, we found a limited SUV variability with average differences up to 8%. Furthermore, only a limited number of lesions showed a SUV difference of more than 30%. These findings indicate that EARL standardisation works. Trial registration This prospective study was registered on the 31th of October 2017 at ClinicalTrials.cov. URL: https://clinicaltrials.gov/ct2/show/NCT03457506?id=03457506&rank=1.

Details

Language :
English
ISSN :
2191219X
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
EJNMMI Research
Publication Type :
Academic Journal
Accession number :
edsdoj.3356ba6cb46e430f98d1c4231c8193e9
Document Type :
article
Full Text :
https://doi.org/10.1186/s13550-019-0569-7