DOI: 10.1186/s40658-018-0226-7Pages: 1-8

Feasibility of PET/CT system performance harmonisation for quantitative multicentre 89Zr studies

1. North Estonia Medical Centre Foundation, Department of Medical Technology

2. VU University Medical Center, Department of Radiology and Nuclear Medicine

3. University of Szeged, Department of Nuclear Medicine

4. University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging

5. EANM Research Limited (EARL)

6. EATRIS ERIC (European Infrastructure for Translational Medicine)

7. TRISTAN-IMI consortium (Translational Imaging in Drug Safety Assessment - Innovative Medicines Initiative)

Correspondence to:
Ronald Boellaard
Tel: +31-(0)50-3613471
Email: r.boellaard@umcg.nl

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Abstract

Purpose

The aim of this study was to investigate the variability in quantitative performance and feasibility of quantitative harmonisation in 89Zr PET/CT imaging.

Methods

Eight EANM EARL-accredited (Kaalep A et al., Eur J Nucl Med Mol Imaging 45:412–22, 2018) PET/CT systems were investigated using phantom acquisitions of uniform and NEMA NU2-2007 body phantoms. The phantoms were filled according to EANM EARL guidelines for [18F]FDG, but [18F]FDG solution was replaced by a 89Zr calibration mixture. For each system, standard uptake value (SUV) accuracy and recovery coefficients (RC) using SUVmean, SUVmax and SUVpeak metrics were determined.

Results

All eight investigated systems demonstrated similarly shaped RC curves, and five of them exhibited closely aligning recoveries when SUV bias correction was applied. From the evaluated metrics, SUVpeak was found to be least sensitive to noise and reconstruction differences among different systems.

Conclusions

Harmonisation of PET/CT scanners for quantitative 89Zr studies is feasible when proper scanner-dose calibrator cross-calibration and harmonised image reconstruction procedures are followed. An accreditation programme for PET/CT scanners would facilitate multicentre 89Zr quantitative studies.

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  • Accepted: Aug 2, 2018
  • Online: Nov 21, 2018

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