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基于标准化摄取值变化的定量分析的 harmonization:多中心体模研究。

Harmonization based on quantitative analysis of standardized uptake value variations across PET/CT scanners: a multicenter phantom study.

机构信息

Department of Medical Physics and Biomedical Engineering.

Research Center for Molecular and Cellular Imaging.

出版信息

Nucl Med Commun. 2022 Sep 1;43(9):1004-1014. doi: 10.1097/MNM.0000000000001598. Epub 2022 Jul 15.

DOI:10.1097/MNM.0000000000001598
PMID:35836388
Abstract

OBJECTIVES

This study aimed to measure standardized uptake value (SUV) variations across different PET/computed tomography (CT) scanners to harmonize quantification across systems.

METHODS

We acquired images using the National Electrical Manufacturers Association International Electrotechnical Commission phantom from three PET/CT scanners operated using routine imaging protocols at each site. The SUVs of lesions were assessed in the presence of reference values by a digital reference object (DRO) and recommendations by the European Association of Nuclear Medicine (EANM/EARL) to measure inter-site variations. For harmonization, Gaussian filters with tuned full width at half maximum (FWHM) values were applied to images to minimize differences in SUVs between reference and images. Inter-site variation of SUVs was evaluated in both pre- and postharmonization situations. Test-retest analysis was also carried out to evaluate repeatability.

RESULTS

SUVs from different scanners became significantly more consistent, and inter-site differences decreased for SUV mean , SUV max and SUV peak from 17.3, 20.7, and 15.5% to 4.8, 4.7, and 2.7%, respectively, by harmonization ( P values <0.05 for all). The values for contrast-to-noise ratio in the smallest lesion of the phantom verified preservation of image quality following harmonization (>2.8%).

CONCLUSIONS

Harmonization significantly lowered variations in SUV measurements across different PET/CT scanners, improving reproducibility while preserving image quality.

摘要

目的

本研究旨在测量不同 PET/CT 扫描仪之间的标准化摄取值(SUV)变化,以实现系统间的定量统一。

方法

我们使用国家电器制造商协会国际电工委员会体模,在每个站点使用常规成像方案操作三种 PET/CT 扫描仪来获取图像。通过数字参考对象(DRO)和欧洲核医学协会(EANM/EARL)的建议,在存在参考值的情况下评估病变的 SUV,以测量站点间的变化。为了实现协调,使用调谐的全宽半最大值(FWHM)值的高斯滤波器对图像进行处理,以最小化参考图像和图像之间的 SUV 差异。在协调前后评估 SUV 的站点间变化。还进行了测试-重测分析以评估可重复性。

结果

不同扫描仪的 SUV 变得更加一致,通过协调,SUV 均值、SUV 最大值和 SUV 峰值的站点间差异从 17.3%、20.7%和 15.5%分别显著降低至 4.8%、4.7%和 2.7%(所有 P 值<0.05)。体模中最小病变的对比噪声比验证了协调后图像质量的保留(>2.8%)。

结论

协调显著降低了不同 PET/CT 扫描仪之间 SUV 测量的变化,提高了可重复性,同时保留了图像质量。

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