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SUVref:降低 PET SUV 中与重建相关的变异。

SUVref: reducing reconstruction-dependent variation in PET SUV.

机构信息

Siemens plc, Healthcare Sector, Molecular Imaging, 23/38 Hythe Bridge Street, Oxford, OX1 2EP, UK.

出版信息

EJNMMI Res. 2011 Aug 18;1(1):16. doi: 10.1186/2191-219X-1-16.

Abstract

BACKGROUND

We propose a new methodology, reference Standardised Uptake Value (SUVref), for reducing the quantitative variation resulting from differences in reconstruction protocol. Such variation that is not directly addressed by the use of SUV or the recently proposed PERCIST can impede comparability between positron emission tomography (PET)/CT scans.

METHODS

SUVref applies a reconstruction-protocol-specific phantom-optimised filter to clinical PET scans for the purpose of improving comparability of quantification. The ability of this filter to reduce variability due to differences in reconstruction protocol was assessed using both phantom and clinical data.

RESULTS

SUVref reduced the variability between recovery coefficients measured with the NEMA image quality phantom across a range of reconstruction protocols to below that measured for a single reconstruction protocol. In addition, it enabled quantitative conformance to the recently proposed EANM guidelines. For the clinical data, a significant reduction in bias and variance in the distribution of differences in SUV, resulting from differences in reconstruction protocol, greatly reduced the number of hot spots that would be misclassified as undergoing a clinically significant change in SUV.

CONCLUSIONS

SUVref significantly reduces reconstruction-dependent variation in SUV measurements, enabling increased confidence in quantitative comparison of clinical images for monitoring treatment response or disease progression. This new methodology could be similarly applied to reduce variability from scanner hardware.

摘要

背景

我们提出了一种新的方法,即参考标准化摄取值(SUVref),用于减少因重建方案差异而导致的定量变化。这种变化不能直接通过 SUV 或最近提出的 PERCIST 来解决,可能会阻碍正电子发射断层扫描(PET)/CT 扫描之间的可比性。

方法

SUVref 为临床 PET 扫描应用了一种特定于重建方案的、优化了体模的滤波器,目的是提高定量的可比性。使用体模和临床数据评估了这种滤波器减少因重建方案差异而导致的可变性的能力。

结果

SUVref 将 NEMA 图像质量体模测量的恢复系数的变化率在一系列重建方案中的差异降低到单个重建方案所测值以下。此外,它使定量符合最近提出的 EANM 指南。对于临床数据,由于重建方案的差异导致 SUV 差异分布中的偏差和方差显著减少,大大减少了将被错误归类为 SUV 发生临床显著变化的热点数量。

结论

SUVref 显著减少了 SUV 测量中的重建相关变化,提高了监测治疗反应或疾病进展的临床图像定量比较的可信度。这种新方法也可以应用于减少来自扫描仪硬件的变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a8a/3251007/8846f421dbdc/2191-219X-1-16-1.jpg

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