Mabrouk Rostom, Rusjan Pablo M, Mizrahi Romina, Jacobs Mark F, Koshimori Yuko, Houle Sylvain, Ko Ji Hyun, Strafella Antonio P
Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada.
Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
PLoS One. 2014 Dec 30;9(12):e115768. doi: 10.1371/journal.pone.0115768. eCollection 2014.
In [18F]-FEPPA positron emission topography (PET) imaging, automatic blood sampling system (ABSS) is currently the gold standard to obtain the blood time activity curve (TAC) required to extract the input function (IF). Here, we compare the performance of two image-based methods of IF extraction to the ABSS gold standard method for the quantification of translocator protein (TSPO) in the human brain. The IFs were obtained from a direct delineation of the internal carotid signal (CS) and a new concept of independent component analysis (ICA). PET scans were obtained from 18 healthy volunteers. The estimated total distribution volume (V(T)) by CS-IF and ICA-IF were compared to the reference V(T) obtained by ABSS-IF in the frontal and temporal cortex, cerebellum, striatum and thalamus regions. The V(T) values estimated using ICA-IF were more reliable than CS-IF for all brain regions. Specifically, the slope regression in the frontal cortex with ICA-IF was r² = 0.91 (p<0.05), and r² = 0.71 (p<0.05) using CS-IF.
在[18F]-FEPPA正电子发射断层扫描（PET）成像中，自动血液采样系统（ABSS）是目前获取提取输入函数（IF）所需血液时间-活度曲线（TAC）的金标准。在此，我们将两种基于图像的IF提取方法的性能与ABSS金标准方法进行比较，以定量人脑中转位蛋白（TSPO）。IF是通过直接描绘颈内动脉信号（CS）和独立成分分析（ICA）的新概念获得的。对18名健康志愿者进行了PET扫描。将CS-IF和ICA-IF估计的总分布容积（V(T)）与ABSS-IF在额叶和颞叶皮质、小脑、纹状体和丘脑区域获得的参考V(T)进行比较。在所有脑区，使用ICA-IF估计的V(T)值比CS-IF更可靠。具体而言，额叶皮质中ICA-IF的斜率回归r² = 0.91（p<0.05），而CS-IF的r² = 0.71（p<0.05）。
