Journal article
Measuring temporal stability of positron emission tomography standardized uptake value bias using long-lived sources in a multicenter network
Journal of medical imaging (Bellingham, Wash.), Vol.5(1), pp.011016-011016
01/2018
DOI: 10.1117/1.JMI.5.1.011016
PMCID: PMC5753626
PMID: 29322068
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
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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.
Details
- Title: Subtitle
- Measuring temporal stability of positron emission tomography standardized uptake value bias using long-lived sources in a multicenter network
- Creators
- Darrin Byrd - , Department of Radiology, Seattle, WashingtonRebecca Christopfel - , Department of Radiology, Seattle, WashingtonGrae Arabasz - , Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MassachusettsCiprian Catana - , Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MassachusettsJoel Karp - , Department of Radiology, Philadelphia, PennsylvaniaMartin A Lodge - , Department of Radiology and Radiological Science, Baltimore, MarylandCharles Laymon - , Presbyterian University Hospital, Department of Radiology, Pittsburgh, PennsylvaniaEduardo G Moros - , Tampa, FloridaMikalai Budzevich - , Tampa, FloridaSadek Nehmeh - , Department of Radiology, New YorkJoshua Scheuermann - , Department of Radiology, Philadelphia, PennsylvaniaJohn Sunderland - , Department of Radiology, Iowa City, IowaJun Zhang - , Department of Radiology, Columbus, OhioPaul Kinahan - , Department of Radiology, Seattle, Washington
- Resource Type
- Journal article
- Publication Details
- Journal of medical imaging (Bellingham, Wash.), Vol.5(1), pp.011016-011016
- Publisher
- Society of Photo-Optical Instrumentation Engineers
- DOI
- 10.1117/1.JMI.5.1.011016
- PMID
- 29322068
- PMCID
- PMC5753626
- ISSN
- 2329-4302
- eISSN
- 2329-4310
- Grant note
- U01-CA148131 / National Institutes of Health (NIH)
- Language
- English
- Date published
- 01/2018
- Academic Unit
- Radiology; Physics and Astronomy; Radiation Oncology; Internal Medicine
- Record Identifier
- 9984047703102771
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