Use of a digital phantom developed by QIBA for harmonizing SUVs obtained from the state-of-the-art SPECT/CT systems: a multicenter study.
Use of a digital phantom developed by QIBA for harmonizing SUVs obtained from the state-of-the-art SPECT/CT systems: a multicenter study.
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DOI：
10.1186/s13550-017-0300-5
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发表时间：
2017-12
期刊：
影响因子：
3.2
通讯作者：
Jinzaki M
中科院分区：
文献类型：
--
作者：
Nakahara T;Daisaki H;Yamamoto Y;Iimori T;Miyagawa K;Okamoto T;Owaki Y;Yada N;Sawada K;Tokorodani R;Jinzaki M
尽管使用标准化摄取值（SUV）的定量分析在临床单光子发射计算机断层扫描/计算机断层扫描（SPECT/CT）成像中变得现实，但重建参数设置可以在不同的SPECT/CT系统中提供不同的定量结果。本研究旨在提出使用数字参考对象（DRO），该对象是由定量成像生物标志物联盟（QIBA）氟脱氧葡萄糖正电子发射断层扫描技术委员会开发的国家电气制造商协会（NEMA）幻象样对象，用于协调suv在Tc-99m SPECT/CT成像中的应用。确定Tc-99m浓度的NEMA体幻影用四个最先进的SPECT/CT系统进行扫描。采用不同的子集与迭代数积（SI）和三维高斯滤波器（3DGF）宽度对SPECT数据进行重构。采用贝克勒尔校正因子将SPECT计数转换为SUV后，测量了6个热球（10、13、17、22、28和37 mm）的平均（SUVmean）、最大（SUVmax）和峰值（SUVpeak） SUV。生成FWHM为17 mm （DRO17 mm）的3DGF平滑DRO，并测量相应的suv。确定各SPECT/CT扫描仪的协调条件，使所有球体在DRO17 mm与实际幻象图像之间产生最小的均方根误差（RMSE）。然后，在协调之前（即根据制造商的建议或他们自己部门的政策）和之后测量所有定量指标的扫描仪间变异性。在以下重建条件下RMSE最低：Brightview XCT的SI为100,3DGF为13 mm， Discovery NM/CT的SI为160,3DGF为3像素，Infinia的SI为60,3DGF为2像素，Symbia的SI为140,3DGF为15 mm。在预协调条件下，SPECT/CT系统中三个球体（SUVmax和SUVmean）的所有定量指标的变异系数（COVs）均大于10%。相比之下，除SUVmax外，17毫米球体的所有指标在协调后产生的cov均低于10%。我们提出的方法明显减少了suv中扫描仪间的可变性。QIBA开发的数字幻影将有助于在多中心试验中使用SPECT/CT协调suv。
Although quantitative analysis using standardized uptake value (SUV) becomes realistic in clinical single-photon emission computed tomography/computed tomography (SPECT/CT) imaging, reconstruction parameter settings can deliver different quantitative results among different SPECT/CT systems. This study aims to propose a use of the digital reference object (DRO), which is a National Electrical Manufacturers Association (NEMA) phantom-like object developed by the Quantitative Imaging Biomarker Alliance (QIBA) fluorodeoxyglucose-positron emission tomography technical committee, for the purpose of harmonizing SUVs in Tc-99m SPECT/CT imaging. The NEMA body phantom with determined Tc-99m concentration was scanned with the four state-of-the-art SPECT/CT systems. SPECT data were reconstructed using different numbers of the product of subset and iteration numbers (SI) and the width of 3D Gaussian filter (3DGF). The mean (SUVmean), maximal (SUVmax), and peak (SUVpeak) SUVs for six hot spheres (10, 13, 17, 22, 28, and 37 mm) were measured after converting SPECT count into SUV using Becquerel calibration factor. DRO smoothed by 3DGF with a FWHM of 17 mm (DRO17 mm) was generated, and the corresponding SUVs were measured. The reconstruction condition to yield the lowest root mean square error (RMSE) of SUVmeans for all the spheres between DRO17 mm and actual phantom images was determined as the harmonized condition for each SPECT/CT scanner. Then, inter-scanner variability in all quantitative metrics was measured before (i.e., according to the manufacturers’ recommendation or the policies of their own departments) and after harmonization. RMSE was lowest in the following reconstruction conditions: SI of 100 and 3DGF of 13 mm for Brightview XCT, SI of 160 and 3DGF of 3 pixels for Discovery NM/CT, SI of 60 and 3DGF of 2 pixels for Infinia, and SI of 140 and 3DGF of 15 mm for Symbia. In pre-harmonized conditions, coefficient of variations (COVs) among the SPECT/CT systems were greater than 10% for all quantitative metrics in three of the spheres, SUVmax and SUVmean, in one of the spheres. In contrast, all metrics except SUVmax in the 17-mm sphere yielded less than 10% of COVs after harmonization. Our proposed method clearly reduced inter-scanner variability in SUVs. A digital phantom developed by QIBA would be useful for harmonizing SUVs in multicenter trials using SPECT/CT.