We have investigated dual-time-point 18F-FDG PET for the detection and delineation of high-grade brain tumors using quantitative criteria applied on a voxel basis. >Methods: Twenty-five pati'/> Voxel-Based Analysis of Dual-Time-Point 18F-FDG PET Images for Brain Tumor Identification and Delineation
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Voxel-Based Analysis of Dual-Time-Point 18F-FDG PET Images for Brain Tumor Identification and Delineation

机译:基于双时点18F-FDG PET图像的基于体素的分析,用于脑肿瘤识别和描绘

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id="p-1">We have investigated dual-time-point 18F-FDG PET for the detection and delineation of high-grade brain tumors using quantitative criteria applied on a voxel basis. >Methods: Twenty-five patients with suspected high-grade brain tumors and inconclusive MRI findings underwent 11C-methionine PET and dual-time-point 18F-FDG PET. Images from each subject were registered and spatially normalized. Parametric maps of standardized uptake value (SUV) and tumor-to-normal gray matter (TN) ratio for each PET image were obtained. Tumor diagnosis was evaluated according to 4 criteria comparing standard and delayed 18F-FDG PET images: any SUV increase, SUV increase greater than 10%, any TN increase, and TN increase greater than 10%. Voxel-based analysis sensitivity was assessed using 11C-methionine as a reference and compared with visual and volume-of-interest analysis for dual-time-point PET images. Additionally, volumetric assessment of the tumor extent that fulfills each criterion was compared with the volume defined for 11C-methionine PET. >Results: The greatest sensitivity for tumor identification was obtained with any increase of TN ratio (100%), followed by a TN increase greater than 10% (96%), any SUV increase (80%), and an SUV increase greater than 10% (60%). These values were superior to visual analysis of standard 18F-FDG (sensitivity, 40%) and delayed 18F-FDG PET (sensitivity, 52%). Volume-of-interest analysis of dual-time-point PET reached a sensitivity of only 64% using the TN increase criterion. Regarding volumetry, voxel-based analysis with the TN ratio increase as a criterion, compared with 11C-methionine PET, detected 55.4% of the tumor volume, with the other criteria detecting volumes lower than 20%. Nevertheless, volume detection presented great variability, being better for metastasis (78%) and glioblastomas (56%) than for anaplastic tumors (12%). A positive correlation was observed between the volume detected and the time of acquisition of the delayed PET image (r = 0.66, P 0.001), showing volumes greater than 75% when the delayed image was obtained at least 6 h after 18F-FDG injection. >Conclusion: Compared with standard 18F-FDG PET studies, quantitative dual-time-point 18F-FDG PET can improve sensitivity for the identification and volume delineation of high-grade brain tumors.
机译:id =“ p-1”>我们已经研究了使用基于体素的定量标准对双时间点 18 F-FDG PET进行高级别脑肿瘤检测和描绘的方法。 >方法:对25名疑似高度脑肿瘤且MRI结果不确定的患者进行了 11 C-蛋氨酸PET和双时间点 18 F-FDG PET。记录每个主题的图像并进行空间归一化。获得了每个PET图像的标准摄取值(SUV)和肿瘤与正常灰质(TN)之比的参数图。根据4个标准比较标准和延迟的 18 F-FDG PET图像评估肿瘤诊断:SUV增加,SUV增加超过10%,TN增加和TN增加超过10%。使用 11 C-蛋氨酸作为参考评估基于体素的分析灵敏度,并将其与双时间点PET图像的视觉和感兴趣的体积分析进行比较。此外,将符合每个标准的肿瘤程度的体积评估与为 11 C-蛋氨酸PET定义的体积进行比较。 >结果:TN比例的任何增加(100%),其后TN的增加大于10%(96%),SUV的任何增加(80%)都获得了最大的肿瘤识别灵敏度, SUV增长超过10%(60%)。这些值优于标准 18 F-FDG(敏感度为40%)和延迟的 18 F-FDG PET(敏感度为52%)的视觉分析。使用TN增加标准,双时间点PET的感兴趣体积分析仅达到64%的灵敏度。在容量方面,与 11 C-蛋氨酸PET相比,以TN比增加为标准的基于体素的分析可检测到55.4%的肿瘤体积,其他标准可检测到​​低于20%的肿瘤。然而,体积检测呈现出很大的可变性,对于转移(78%)和胶质母细胞瘤(56%)比间变性肿瘤(12%)更好。在检测到的体积和延迟PET图像的获取时间之间观察到正相关( r = 0.66, P <0.001),当体积大于75%时在 18 F-FDG注射后至少6 h获得延迟图像。 >结论:与标准的 18 F-FDG PET研究相比,定量双时间点 18 F-FDG PET可以提高鉴定的敏感性和高级脑肿瘤的体积描绘。

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