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在多中心试验中使用标准化摄取值对氟代脱氧葡萄糖正电子发射断层扫描(FDG PET)研究进行定量分析:图像重建、分辨率和感兴趣区(ROI)定义参数的影响

Quantification of FDG PET studies using standardised uptake values in multi-centre trials: effects of image reconstruction, resolution and ROI definition parameters.

作者信息

Westerterp Marinke, Pruim Jan, Oyen Wim, Hoekstra Otto, Paans Anne, Visser Eric, van Lanschot Jan, Sloof Gerrit, Boellaard Ronald

机构信息

Department of Surgery, Academic Medical Center, Amsterdam, The Netherlands.

出版信息

Eur J Nucl Med Mol Imaging. 2007 Mar;34(3):392-404. doi: 10.1007/s00259-006-0224-1. Epub 2006 Oct 11.

Abstract

PURPOSE

Standardised uptake values (SUVs) depend on acquisition, reconstruction and region of interest (ROI) parameters. SUV quantification in multi-centre trials therefore requires standardisation of acquisition and analysis protocols. However, standardisation is difficult owing to the use of different scanners, image reconstruction and data analysis software. In this study we evaluated whether SUVs, obtained at three different institutes, may be directly compared after calibration and correction for inter-institute differences.

METHODS

First, an anthropomorphic thorax phantom containing variously sized spheres and activities, simulating tumours, was scanned and processed in each institute to evaluate differences in scanner calibration. Secondly, effects of image reconstruction and ROI method on recovery coefficients were studied. Next, SUVs were derived for tumours in 23 subjects. Of these 23 patients, four and ten were scanned in two institutes on an HR+ PET scanner and nine were scanned in one institute on an ECAT EXACT PET scanner. All phantom and clinical data were reconstructed using iterative reconstruction with various iterations, with both measured (MAC) and segmented attenuation correction (SAC) and at various image resolutions. Activity concentrations (AC) or SUVs were derived using various ROI isocontours.

RESULTS

Phantom data revealed differences in SUV quantification of up to 30%. After application-specific calibration, recovery coefficients obtained in each institute were equal to within 15%. Varying the ROI isocontour value resulted in a predictable change in SUV (or AC) for both phantom and clinical data. Variation of image resolution resulted in a predictable change in SUV quantification for large spheres/tumours (>5 cc) only. For smaller tumours (<2 cc), differences of up to 40% were found between high (7 mm) and low (10 mm) resolution images. Similar differences occurred when data were reconstructed with a small number of iterations. Finally, no significant differences between MAC and SAC reconstructed data were observed, except for tumours near the diaphragm.

CONCLUSION

Standardisation of acquisition, reconstruction and ROI methods is preferred for SUV quantification in multi-centre trials. Small unavoidable differences in methodology can be accommodated by performing a phantom study to assess inter-institute correction factors.

摘要

目的

标准化摄取值(SUV)取决于采集、重建和感兴趣区(ROI)参数。因此,多中心试验中的SUV定量需要采集和分析方案的标准化。然而,由于使用了不同的扫描仪、图像重建和数据分析软件,标准化很难实现。在本研究中,我们评估了在三个不同机构获得的SUV在针对机构间差异进行校准和校正后是否可以直接比较。

方法

首先,在每个机构对一个包含各种大小球体和放射性活度、模拟肿瘤的拟人化胸部体模进行扫描和处理,以评估扫描仪校准的差异。其次,研究了图像重建和ROI方法对恢复系数的影响。接下来,得出了23名受试者肿瘤的SUV。在这23名患者中,4名和10名在两家机构使用HR + PET扫描仪进行了扫描,9名在一家机构使用ECAT EXACT PET扫描仪进行了扫描。所有体模和临床数据均使用具有不同迭代次数的迭代重建进行重建,同时使用测量衰减校正(MAC)和分段衰减校正(SAC),并采用不同的图像分辨率。使用各种ROI等轮廓线得出放射性活度浓度(AC)或SUV。

结果

体模数据显示SUV定量差异高达30%。经过特定应用校准后,每个机构获得的恢复系数在15%以内相等。改变ROI等轮廓线值会导致体模和临床数据的SUV(或AC)发生可预测的变化。仅对于大球体/肿瘤(>5 cc),图像分辨率的变化会导致SUV定量发生可预测的变化。对于较小的肿瘤(<2 cc),高分辨率(7 mm)和低分辨率(10 mm)图像之间的差异高达40%。当用少量迭代次数重建数据时也会出现类似差异。最后,除了靠近膈肌的肿瘤外,未观察到MAC和SAC重建数据之间存在显著差异。

结论

在多中心试验中,SUV定量最好采用采集、重建和ROI方法的标准化。通过进行体模研究以评估机构间校正因子,可以适应方法学中不可避免的小差异。

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