MRI引导下PET动力学建模输入函数的推导

MRI-Guided Derivation of the Input Function for PET Kinetic Modeling.

作者信息

Richard Marie Anne, Fouquet Jérémie P, Lebel Réjean, Lepage Martin

机构信息

Department of Nuclear Medicine and Radiobiology, Centre d'imagerie moléculaire de Sherbrooke (CIMS), Université de Sherbrooke, Suite 1983, 3001, 12th Avenue North, Sherbrooke, Québec J1H 5N4, Canada.

Department of Nuclear Medicine and Radiobiology, Centre d'imagerie moléculaire de Sherbrooke (CIMS), Université de Sherbrooke, Suite 1982, 3001, 12th Avenue North, Sherbrooke, Québec J1H 5N4, Canada.

出版信息

PET Clin. 2016 Apr;11(2):193-202. doi: 10.1016/j.cpet.2015.09.003. Epub 2016 Jan 26.

DOI:10.1016/j.cpet.2015.09.003

PMID:26952731

Abstract

Blood samples obtained by arterial cannulation are the gold standard to measure the input function for PET pharmacokinetic modeling. There is interest in less invasive methods, such as image-derived input functions (IDAIF). MRI can be used to segment and correct partial volume effects of the PET images, improving IDAIF extraction. Preclinical studies have shown that the input function of PET tracers, namely fluorodeoxyglucose and [(18)F]fluoroethyl-l-tyrosine, can be derived from the Gd-DTPA input function. Noninvasive, MRI-guided, PET input function derivation is a promising avenue to reduce or eliminate the need for arterial plasma samples in preclinical and clinical settings.

摘要

通过动脉插管采集的血样是用于PET药代动力学建模测量输入函数的金标准。人们对侵入性较小的方法很感兴趣，如图像衍生输入函数（IDAIF）。MRI可用于分割和校正PET图像的部分容积效应，改善IDAIF提取。临床前研究表明，PET示踪剂的输入函数，即氟脱氧葡萄糖和[（18）F]氟乙基-L-酪氨酸，可从钆喷酸葡胺输入函数中推导得出。在临床前和临床环境中，非侵入性、MRI引导的PET输入函数推导是减少或消除对动脉血浆样本需求的一条有前景的途径。