Validation of phantom-based harmonization for patient harmonization.

Validation of phantom-based harmonization for patient harmonization.
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DOI:
10.1002/mp.12311
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发表时间:
2017-07
期刊:
影响因子:
3.8
通讯作者:
Karp JS
Karp JS
中科院分区:
医学3区
文献类型:
--
作者:
Panetta JV;Daube-Witherspoon ME;Karp JS

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为了提高多中心临床试验的精度,正在进行多项努力,以确定扫描仪特定的参数,以便使用标准化体模测量进行协调。本研究的目的是测试体模量化与患者图像之间的对应关系,并验证体模用于协调患者图像的用途。美国电气制造商协会的热球图像质量模型由两台飞行时间 PET 扫描仪扫描。在同一系统上对受试者进行全身[18F]-氟脱氧葡萄糖(FDG)-PET 扫描。在每台扫描仪上在空气中测量的球体(直径:10-28 毫米)的列表模式事件被嵌入到来自每台扫描仪的体模和受试者列表模式数据中,以创建相对于体模和每个受试者的肝脏和肺部区域的局部背景已知吸收的病变,作为表征真实病变量化的代理。使用通常用于模型研究并作为临床使用的标准化摄取值的替代值的对比恢复系数(CRC)对图像进行分析。应用重建后过滤(分辨率恢复和高斯平滑)来确定模型图像上的效果是否等同于主体图像。选择三种后过滤策略来根据体模测量来协调两个扫描仪之间的 CRCmean 或 CRCmax 值,然后应用于主题图像。四名受试者(BMI 范围 25-38)的肺和肝内病变的平均 CRCmean 和 CRCmax 值与所有病变大小的体模内病变的 CRC 值一致在 5% 以内。此外,由于对主体和幻像图像应用后置滤波器而导致的 CRCmean 和 CRCmax 的相对变化在测量不确定度内是一致的。此外,在使用基于体模测量选择协调 CRCmean 或 CRCmax 的后滤波策略的受试者中,在 3 个球体尺寸上计算的两台扫描仪上的 CRC 值之间的均方根百分比差异 (RMSpd) 显着降低:协调 CRCmean 后,受试者中 CRCmean 值的 RMSpd 从 36% 降低至 <8%,而协调后 CRCmax 的 RMSpd 从约 33% 降低至 <6% CRCmax 采用不同的策略。然而,采用这种旨在协调 CRCmax 的策略,受试者中 CRCmean 的 RMSpd 仅提高至约 14%。模型和受试者数据之间 CRC 测量的一致性表明,通过模型研究定义的协调策略可以很好地跟踪患者图像。然而,不同扫描仪之间的定量一致性(以 RMSpd 表示)取决于为协调而选择的指标。
To improve the precision of multicenter clinical trials, several efforts are underway to determine scanner-specific parameters for harmonization using standardized phantom measurements. The goal of this study was to test the correspondence between quantification in phantom and patient images and validate the use of phantoms for harmonization of patient images. The National Electrical Manufacturers’ Association image quality phantom with hot spheres was scanned on two time-of-flight PET scanners. Whole-body [18F]-fluorodeoxyglucose (FDG)-PET scans were acquired of subjects on the same systems. List-mode events from spheres (diam.: 10–28 mm) measured in air on each scanner were embedded into the phantom and subject list-mode data from each scanner to create lesions with known uptake with respect to the local background in the phantom and each subject’s liver and lung regions, as a proxy to characterize true lesion quantification. Images were analyzed using the contrast recovery coefficient (CRC) typically used in phantom studies and serving as a surrogate for the standardized uptake value used clinically. Post-reconstruction filtering (resolution recovery and Gaussian smoothing) was applied to determine if the effect on the phantom images translates equivalently to subject images. Three post-filtering strategies were selected to harmonize the CRCmean or CRCmax values between the two scanners based on the phantom measurements and then applied to the subject images. Both the average CRCmean and CRCmax values for lesions embedded in the lung and liver in four subjects (BMI range 25–38) agreed to within 5% with the CRC values for lesions embedded in the phantom for all lesion sizes. In addition, the relative changes in CRCmean and CRCmax resulting from the application of the post-filters on the subject and phantom images were consistent within measurement uncertainty. Further, the root mean squared percent difference (RMSpd) between CRC values on the two scanners calculated over the 3 sphere sizes was significantly reduced in the subjects using post-filtering strategies chosen to harmonize CRCmean or CRCmax based on phantom measurements: RMSpd of the CRCmean values in subjects was reduced from 36% to <8% after harmonizing CRCmean, while RMSpd for CRCmax was reduced from ~33% to <6% after harmonizing CRCmax with a different strategy. However, with this strategy designed to harmonize CRCmax, the RMSpd for CRCmean only improved to ~14% in subjects. The consistency of the CRC measurements between the phantom and subject data demonstrates that harmonization strategies defined with phantom studies track well to patient images. However, quantitative agreement between different scanners as represented by the RMSpd depends on the metric chosen for harmonization.
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