NeuroEXPLORER上颈动脉图像衍生的血液时间-活动曲线:针对动脉采样的初始多示踪剂验证

Tommaso Volpi, Jean-Dominique Gallezot, Shannan Henry, Mark Dias, Nikkita Khattar, Takuya Toyonaga, Kathryn Fontaine, Tim Mulnix, Jiazhen Zhang, Liang Guo, Paul Gravel, Rajiv Radhakrishnan, Ansel T. Hillmer, David Matuskey, Richard E. Carson
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引用次数: 0

摘要

图像衍生输入函数是PET动力学建模中动脉血液采样的非侵入性替代方法,允许测量全血时间-活动曲线(BTAC)。然而,部分体积效应限制了颈动脉(CA)用于脑PET生成图像衍生btac (ID-BTAC)的使用。NeuroEXPLORER是下一代扫描仪,具有前所未有的空间分辨率,可能可以更好地提取CA - btac。方法:用5种示踪剂(18F-FDG、18f - synvest1、18f -氟巴汀、11C-LSN3172176和11C-PHNO)在NeuroEXPLORER上扫描12例患者,并测定血液中动脉输入功能。在早期汇总图像上手工分割颈总动脉(CC)和颈内动脉(IC)感兴趣区域(roi)。在CA中心线周围扩大ROI直径以评估部分体积效应。计算ID-BTAC曲线下面积(AUC)对BTAC的偏差,以估计在早期(0-10分钟)和后期(>;10分钟)恢复金标准的能力。使用id - btac(1毫米ROI直径),生成动力学估计(K1、Ki和VT),并评估它们与基于动脉输入函数的估计的偏差。结果:对于1 - 2mm的ROI直径,早期AUC恢复良好(偏差:CC,−8%±5%;IC,−3±7%)。18F-FDG (CC,−9%,IC,−5%)、11C-PHNO (CC, 7%, IC, 4%)和18f - synvest1 (CC,−9%,IC,−13%)的晚期AUC准确恢复,但18f -氟巴汀(CC, 18%, IC, 45%)和11C-LSN3172176 (CC, 46%, IC, 100%)的晚期AUC不能准确恢复;这种较差的一致性对应着较高的后期脑-血/脑-血活动比率。IC在大多数情况下优于CC。ID-BTAC偏差转化为较小的K1误差(CC, 5%±10%;IC, 3±14%)和较大的Ki和VT误差(CC, - 3%±20%;IC, - 12±25%)。结论:一种简单的ID-BTAC提取方法可以准确地回收所有示踪剂的早期BTAC,最大限度地减少溢出。晚期BTAC恢复变化较大,特别是背景活性较高。这些结果强调了在超高分辨率脑专用PET扫描仪上以最小偏差提取CA ID-BTAC是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carotid Artery Image-Derived Blood Time–Activity Curves on the NeuroEXPLORER: Initial Multitracer Validation Against Arterial Sampling

Image-derived input functions are noninvasive alternatives to arterial blood sampling for PET kinetic modeling, allowing one to measure the whole-blood time–activity curve (BTAC). However, partial-volume effects have limited the use of carotid arteries (CA) to generate image-derived BTACs (ID-BTAC) for brain PET. The NeuroEXPLORER is a next-generation scanner with unprecedented spatial resolution, possibly allowing better CA ID-BTAC extraction. Methods: Twelve individuals were scanned on the NeuroEXPLORER with 5 tracers (18F-FDG, 18F-SynVesT-1, 18F-flubatine, 11C-LSN3172176, and 11C-PHNO), and arterial input functions were measured from blood samples. Common carotid (CC) and internal carotid (IC) regions-of-interest (ROIs) were manually segmented on early summed images. ROI diameters were dilated around the CA centerline to evaluate the partial-volume effects. Bias in ID-BTAC area under the curve (AUC) against BTAC was calculated to estimate the ability to recover the gold standard at early (0–10 min) and late times (>10 min). Using ID-BTACs (1-mm ROI diameter), kinetic estimates were generated (K1, Ki, and VT), and their bias against arterial input function–based estimates was evaluated. Results: For 1–2-mm ROI diameters, early AUC recovery was good (bias: CC, −8% ± 5%; IC, −3 ± 7%). The late AUC was accurately recovered for 18F-FDG (CC, −9%; IC, −5%), 11C-PHNO (CC, 7%; IC, 4%), and 18F-SynVesT-1 (CC, −9%; IC, −13%) but not for 18F-flubatine (CC, 18%; IC, 45%) and 11C-LSN3172176 (CC, 46%; IC, 100%); this poorer agreement corresponded to higher late-time brain-to-blood/face-to-blood activity ratios. The IC outperformed the CC in most cases. ID-BTAC biases translated into small K1 errors (CC, 5% ± 10%; IC, 3 ± 14%) and larger Ki and VT errors (CC, −3% ± 20%; IC, −12 ± 25%). Conclusion: A simple ID-BTAC extraction approach provided accurate recovery of the early BTAC for all tracers, minimizing spill-out. Late BTAC recovery was more variable, especially with higher background activity. These results highlight how CA ID-BTAC extraction with minimal bias is feasible with ultra-high-resolution brain-dedicated PET scanners.

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