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用于定量多中心锆研究的PET/CT系统性能协调的可行性。

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

作者信息

Kaalep Andres, Huisman Marc, Sera Terez, Vugts Danielle, Boellaard Ronald

机构信息

Department of Medical Technology, North Estonia Medical Centre Foundation, J. Sutiste Str 19, 13419, Tallinn, Estonia.

Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.

出版信息

EJNMMI Phys. 2018 Nov 21;5(1):26. doi: 10.1186/s40658-018-0226-7.

DOI:10.1186/s40658-018-0226-7
PMID:30460577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6246752/
Abstract

PURPOSE

The aim of this study was to investigate the variability in quantitative performance and feasibility of quantitative harmonisation in Zr 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 [F]FDG, but [F]FDG solution was replaced by a Zr 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 Zr 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 Zr quantitative studies.

摘要

目的

本研究旨在调查Zr PET/CT成像中定量性能的变异性以及定量归一化的可行性。

方法

使用均匀体模和NEMA NU2-2007体模的体模采集,对八台获得欧洲核医学与分子影像学会(EANM)EARL认证(Kaalep A等人,《欧洲核医学与分子影像杂志》45:412-22,2018)的PET/CT系统进行了研究。根据EANM EARL关于[F]FDG的指南填充体模,但将[F]FDG溶液替换为Zr校准混合物。对于每个系统,使用SUVmean、SUVmax和SUVpeak指标确定标准摄取值(SUV)准确性和恢复系数(RC)。

结果

所有八台被研究的系统都显示出形状相似的RC曲线,其中五台在应用SUV偏差校正时表现出紧密对齐的恢复情况。从评估的指标来看,发现SUVpeak对不同系统之间的噪声和重建差异最不敏感。

结论

当遵循适当的扫描仪-剂量校准器交叉校准和统一的图像重建程序时,对PET/CT扫描仪进行Zr定量研究的归一化是可行的。PET/CT扫描仪的认证计划将有助于多中心Zr定量研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7920/6246752/045f7801071d/40658_2018_226_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7920/6246752/7365fbeef68f/40658_2018_226_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7920/6246752/16722c1fcf2e/40658_2018_226_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7920/6246752/3d2499d97277/40658_2018_226_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7920/6246752/715751dad02c/40658_2018_226_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7920/6246752/045f7801071d/40658_2018_226_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7920/6246752/7365fbeef68f/40658_2018_226_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7920/6246752/16722c1fcf2e/40658_2018_226_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7920/6246752/3d2499d97277/40658_2018_226_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7920/6246752/715751dad02c/40658_2018_226_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7920/6246752/045f7801071d/40658_2018_226_Fig5_HTML.jpg

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