Image Quantification for TSPO PET with a Novel Image-Derived Input Function Method.
Image Quantification for TSPO PET with a Novel Image-Derived Input Function Method.
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DOI：
10.3390/diagnostics12051161
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发表时间：
2022-05-07
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
人们越来越感兴趣使用 18F-DPA-714 PET 通过 18-kDa 易位蛋白 (TSPO) 成像来研究神经炎症和小胶质细胞激活。虽然 18F-DPA-714 结合的量化可以通过动力学模型分析来实现，并通过血液采样程序测量动脉输入功能 (AIF)，但此类程序的侵入性一直是广泛应用的障碍。为了应对这些挑战，我们开发了一种图像衍生输入函数 (IDIF)，它可以根据 18F-DPA-714 量化采集的图像无创地估计动脉输入函数。方法：该方法需要三个全自动步骤来提取IDIF，包括对最有可能是颈动脉上的动脉血的体素进行分割，基于模型的矩阵分解来提取动脉血信号，以及缩放优化程序来将提取的动脉血信号缩放到活性浓度单位。两组人类受试者用于评估提取的 IDIF。在第一组 5 名受试者中，进行了动脉血采样，并通过比较 AIF (VT,AIF) 和 IDIF (VT,IDIF) 的分布体积，对照测量的 AIF 验证计算出的 IDIF。在第二组中，对 28 名未进行动脉血采样的健康对照进行 PET 研究，将 VT、IDIF 与使用基于参考区域的分析测量的 VT、REF 进行比较，以评估其是否可以区分高亲和力 (HAB) 和混合亲和力 (MAB) 结合剂。结果：在动脉血采样队列中，发现源自 IDIF 的 VT 是源自 AIF 的 VT 的准确替代值。与 VT、AIF 相比，VT、IDIF 的偏倚为 -5.8 ± 7.8%，线性混合效应模型显示 VT、AIF 与 VT、IDIF 之间存在高度相关性 (p < 0.001)。在非采血队列中，HAB 和 MAB 健康对照之间的 VT、IDIF 显示出显着差异。 VT、IDIF 和标准摄取值 (SUV) 在区分 HAB 和 MAB 受试者方面显示出比 VT、REF 更好的结果。结论：本研究开发并评估了一种用于 18F-DPA-714 PET 定量的新型 IDIF 方法。该 IDIF 提供了一种非侵入性的 VT 替代测量方法，可通过动态 PET 扫描量化人脑中 18F-DPA-714 的 TSPO 结合。
There is a growing interest in using 18F-DPA-714 PET to study neuroinflammation and microglial activation through imaging the 18-kDa translocator protein (TSPO). Although quantification of 18F-DPA-714 binding can be achieved through kinetic modeling analysis with an arterial input function (AIF) measured with blood sampling procedures, the invasiveness of such procedures has been an obstacle for wide application. To address these challenges, we developed an image-derived input function (IDIF) that noninvasively estimates the arterial input function from the images acquired for 18F-DPA-714 quantification. Methods: The method entails three fully automatic steps to extract the IDIF, including a segmentation of voxels with highest likelihood of being the arterial blood over the carotid artery, a model-based matrix factorization to extract the arterial blood signal, and a scaling optimization procedure to scale the extracted arterial blood signal into the activity concentration unit. Two cohorts of human subjects were used to evaluate the extracted IDIF. In the first cohort of five subjects, arterial blood sampling was performed, and the calculated IDIF was validated against the measured AIF through the comparison of distribution volumes from AIF (VT,AIF) and IDIF (VT,IDIF). In the second cohort, PET studies from twenty-eight healthy controls without arterial blood sampling were used to compare VT,IDIF with VT,REF measured using a reference region-based analysis to evaluate whether it can distinguish high-affinity (HAB) and mixed-affinity (MAB) binders. Results: In the arterial blood-sampling cohort, VT derived from IDIF was found to be an accurate surrogate of the VT from AIF. The bias of VT, IDIF was −5.8 ± 7.8% when compared to VT,AIF, and the linear mixed effect model showed a high correlation between VT,AIF and VT, IDIF (p < 0.001). In the nonblood-sampling cohort, VT, IDIF showed a significance difference between the HAB and MAB healthy controls. VT, IDIF and standard uptake values (SUV) showed superior results in distinguishing HAB from MAB subjects than VT,REF. Conclusions: A novel IDIF method for 18F-DPA-714 PET quantification was developed and evaluated in this study. This IDIF provides a noninvasive alternative measurement of VT to quantify the TSPO binding of 18F-DPA-714 in the human brain through dynamic PET scans.
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影响因子：
3.7
作者：
Mabrouk R;Rusjan PM;Mizrahi R;Jacobs MF;Koshimori Y;Houle S;Ko JH;Strafella AP
通讯作者：
Strafella AP
在酒精依赖性中，流动蛋白的体内成像，即活化的小胶质细胞的标志。
影响因子：
11
作者：
Hillmer AT;Sandiego CM;Hannestad J;Angarita GA;Kumar A;McGovern EM;Huang Y;O'Connor KC;Carson RE;O'Malley SS;Cosgrove KP
通讯作者：
Cosgrove KP
DOI：
10.1007/s00259-016-3444-z
发表时间：
2016-11
影响因子：
9.1
作者：
Feeney, Claire;Scott, Gregory;Raffel, Joel;Roberts, S.;Coello, Christopher;Jolly, Amy;Searle, Graham;Goldstone, A. P.;Brooks, David J.;Nicholas, Richard S.;Trigg, William;Gunn, Roger N.;Sharp, David J.
通讯作者：
Sharp, David J.
影响因子：
6.1
作者：
Edison, Paul;Archer, Hilary A.;Brooks, David J.
通讯作者：
Brooks, David J.
影响因子：
6.3
作者：
Kropholler, Marc A.;Boellaard, Ronald;Lammertsma, Adriaan A.
通讯作者：
Lammertsma, Adriaan A.