Harmonization of Standardized Uptake Value among Different Generation PET/ CT Cameras Based on a Phantom Experiment —Utility of SUVpeak—

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  • Akamatsu Go
    Department of Radiological Technology, Institute of Biomedical Research and Innovation Department of Molecular Imaging, Institute of Biomedical Research and Innovation Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University
  • Nishida Hiroyuki
    Department of Molecular Imaging, Institute of Biomedical Research and Innovation
  • Fujino Akira
    Department of PET Diagnosis, Institute of Biomedical Research and Innovation
  • Ohnishi Akihito
    Department of Molecular Imaging, Institute of Biomedical Research and Innovation
  • Ikari Yasuhiko
    Department of Molecular Imaging, Institute of Biomedical Research and Innovation
  • Nishio Tomoyuki
    Department of Molecular Imaging, Institute of Biomedical Research and Innovation
  • Maebatake Akira
    Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University
  • Sasaki Masayuki
    Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University
  • Senda Michio
    Department of Molecular Imaging, Institute of Biomedical Research and Innovation

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Other Title
  • ファントム試験に基づくPET装置間のstandardized uptake valueの標準化―SUVpeakの有用性―
  • ファントム シケン ニ モトズク PET ソウチ カン ノ standardized uptake value ノ ヒョウジュンカ : SUVpeak ノ ユウヨウセイ

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Standardized uptake value (SUV) has been widely used as a semi-quantitative metric of uptake in FDGPET/ CT for diagnosis of malignant tumors and evaluation of tumor therapies. However, the SUV depends on various factors including PET/CT scanner specifications and reconstruction parameters. The purpose of this study is to harmonize the SUV among two PET/CT models of different generation: two units of Discovery ST Elite Performance(DSTEP) and Discovery 690 (D690) PET/CT scanners. The NEMA body phantom filled with 18F solution was scanned for 30 minutes in list-mode. The D690 PET images were reconstructed with OSEM, OSEM+TOF, and OSEM+PSF. Gaussian post-filters of 4-9 mm FWHM were applied to find the parameters that provides harmonized SUV. We determined the SUV-harmonized parameter for each reconstruction algorithm. Then, the 10 PET images simulating clinical scan conditions were respectively generated to evaluate the bias and variability of SUVmax and SUVpeak. The SUVmax strongly depended not only on spatial resolution but also on image noise. On the other hand, the SUVpeak was a robust metric to image noise level. TOFimproved the variability of SUVmax and SUVpeak. Thus, we were able to harmonize the spatial resolution using SUVpeak based on the phantom study. Because SUVmax was also strongly affected by image noise, sufficient count statistics is essential for SUVmax harmonization. We recommended that TOFreconstruction and SUVpeak metric should be used to harmonize SUV.

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