Measuring temporal stability of positron emission tomography standardized uptake value bias using long-lived sources in a multicenter network.

TitleMeasuring temporal stability of positron emission tomography standardized uptake value bias using long-lived sources in a multicenter network.
Publication TypeJournal Article
Year of Publication2018
AuthorsByrd D, Christopfel R, Arabasz G, Catana C, Karp J, Lodge MA, Laymon C, Moros EG, Budzevich M, Nehmeh S, Scheuermann J, Sunderland J, Zhang J, Kinahan P
JournalJ Med Imaging (Bellingham)
Volume5
Issue1
Pagination011016
Date Published2018 Jan
ISSN2329-4302
Abstract

Positron emission tomography (PET) is a quantitative imaging modality, but the computation of standardized uptake values (SUVs) requires several instruments to be correctly calibrated. Variability in the calibration process may lead to unreliable quantitation. Sealed source kits containing traceable amounts of [Formula: see text] were used to measure signal stability for 19 PET scanners at nine hospitals in the National Cancer Institute's Quantitative Imaging Network. Repeated measurements of the sources were performed on PET scanners and in dose calibrators. The measured scanner and dose calibrator signal biases were used to compute the bias in SUVs at multiple time points for each site over a 14-month period. Estimation of absolute SUV accuracy was confounded by bias from the solid phantoms' physical properties. On average, the intrascanner coefficient of variation for SUV measurements was 3.5%. Over the entire length of the study, single-scanner SUV values varied over a range of 11%. Dose calibrator bias was not correlated with scanner bias. Calibration factors from the image metadata were nearly as variable as scanner signal, and were correlated with signal for many scanners. SUVs often showed low intrascanner variability between successive measurements but were also prone to shifts in apparent bias, possibly in part due to scanner recalibrations that are part of regular scanner quality control. Biases of key factors in the computation of SUVs were not correlated and their temporal variations did not cancel out of the computation. Long-lived sources and image metadata may provide a check on the recalibration process.

DOI10.1117/1.JMI.5.1.011016
Alternate JournalJ Med Imaging (Bellingham)
PubMed ID29322068
PubMed Central IDPMC5753626
Grant ListP30 CA086862 / CA / NCI NIH HHS / United States
R01 EB014894 / EB / NIBIB NIH HHS / United States
U01 CA148131 / CA / NCI NIH HHS / United States

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065