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Chen X, Zhang S, Zhang J, Chen L, Wang R, Zhou Y. Noninvasive quantification of nonhuman primate dynamic 18F-FDG PET imaging. Phys Med Biol 2021; 66:064005. [PMID: 33709956 DOI: 10.1088/1361-6560/abe83b] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
18F-FDG uptake rate constant Ki is the main physiology parameter measured in dynamic PET studies. A model-independent graphical analysis using Patlak plot with plasma input function (PIF) is a standard approach used to estimate Ki . The PIF is the 18F-FDG time activity curve (TAC) in plasma that is obtained by serial arterial blood sampling. The purpose of the study is to evaluate a Patlak plot-based optimization approach with reduced blood samples for noninvasive quantification of dynamic 18F-FDG PET imaging. Eight 60 min rhesus monkey brain dynamic 18F-FDG PET scans with arterial blood samples were collected. The measured PIF (mPIF) was determined by arterial blood samples. TACs of seven cerebral regions of interest were generated from each study. With a given number of blood samples, the population-based PIF (pPIF) was determined by either interpolation or extrapolation method using scale calibrated population mean of normalized PIF. The optimal sampling scheme with given blood sample size was determined by maximizing the correlations between the Ki estimated from pPIF and those obtained by mPIF. A leave-two-out cross-validation method was used for evaluation. The linear correlations between the Ki estimates from pPIF with optimal sampling schemes and those from mPIF were: Ki (pPIF 1 sample at 40 min) = 1.015 Ki (mPIF) - 0.000, R 2 = 0.974; Ki (pPIF 2 samples at 35 and 50 min) = 1.052 Ki (mPIF) - 0.001, R 2 = 0.976; Ki (pPIF 3 samples at 12, 40, and 50 min) = 1.030 Ki (mPIF) - 0.000, R 2 = 0.985; and Ki (pPIF 4 samples at 10, 20, 40, and 50 min) = 1.016 Ki (mPIF)- 0.000, R 2 = 0.993. As the sample size became greater or equal to 4, the Ki estimates from pPIF with the optimal protocol were almost identical to those from mPIF. The Patlak plot-based optimization approach is a reliable method to estimate PIF for noninvasive quantification of non-human primate dynamic 18F-FDG PET imaging and is potentially extendable to further translational human studies.
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Affiliation(s)
- Xueqi Chen
- Department of Nuclear Medicine, Peking University First Hospital, No.8, Xishiku St., West District, Beijing, 100034, People's Republic of China
| | - Sulei Zhang
- Department of Nuclear Medicine, Peking University First Hospital, No.8, Xishiku St., West District, Beijing, 100034, People's Republic of China
| | - Jianhua Zhang
- Department of Nuclear Medicine, Peking University First Hospital, No.8, Xishiku St., West District, Beijing, 100034, People's Republic of China
| | - Lixin Chen
- Department of Nuclear Medicine, Peking University First Hospital, No.8, Xishiku St., West District, Beijing, 100034, People's Republic of China
| | - Rongfu Wang
- Department of Nuclear Medicine, Peking University First Hospital, No.8, Xishiku St., West District, Beijing, 100034, People's Republic of China
| | - Yun Zhou
- Department of Nuclear Medicine, Peking University First Hospital, No.8, Xishiku St., West District, Beijing, 100034, People's Republic of China.,Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kinshighway Blvd., Campus Box 8225, St Louis, MO 63110, United States of America.,Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, 201807, People's Republic of China
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Determination of the Input Function at the Entry of the Tissue of Interest and Its Impact on PET Kinetic Modeling Parameters. Mol Imaging Biol 2016; 17:748-56. [PMID: 26395903 DOI: 10.1007/s11307-015-0895-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Quantitative positron emission tomography (PET) imaging is employed with several measurement protocols all relying on the a priori determination of the input function (IF). The standard technique to determine IF is by blood sampling. However, a unique IF determined in a subject for a given PET study, either defined by sampling or in the images, and commonly utilized for all analyzed tissues in that study equally at rest and during interventions, is expected to provoke biases in the rate constants and in tissue blood volume. The determination of a specific IF at the site of the tissue to be analyzed enhances PET accuracy and renders PET imaging less invasive.
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