Ultra-low-activity total-body dynamic PET imaging allows equal performance to full-activity PET imaging for investigating kinetic metrics of 18F-FDG in healthy volunteers

e20551 Background: The purpose of this study was to evaluate the efficacy of dynamic 18F-FDG total body PET imaging as a predictive maker of induction chemo-immunotherapy response in locally advanced non-small cell lung cancer(NSCLC) by a prospective study. Methods: Stage IIIA-IIIC NSCLC patients were prospectively enrolled in a prospective total body PETCT study ( NCT04654234, GASTO-1067) and a randomized phase II clinical trial ( NCT04085250) between September 2020 and December 2020. All patients underwent a dynamic total-body 18F-FDG PET/CT scan before any treatment and after 2 cycles of induction chemo-immunotherapy (docetaxel+cisplatin+nivolumab). The primary lung tumor, metastatic regional lymph node and inflammatory lymph node before and after treatment were manually delineated by a nuclear medicine physician and a radiation oncologist. Total Body PET was acquired between 0 – 60 mins after the injection of FDG from the subject’s feet. Patients was separated into high dynamic FDG metabolic (H-DFM) group and low DFM(L-DFM) group by the scatter plot of SUV-mean and Ki-mean of primary lung tumor. We compared lesion heterogeneity and different image-derived PET metrics including the metabolic tumor volume(MTV), SUV total lesion glycolysis(SUV-TLG), Patlak-derived influx rate constant (Ki) TLG (Ki-TLG). Results: Fifteen patients were analyzed, 8 patients was in H-DFM group and 7 in L-DFM group. Patients in H-DFM group had significant decreased levels of MTV(p < 0.001), SUV-TLG(p < 0.001) and Ki-TLG(p < 0.001) both in primary lung tumor and metastatic lymph node by the induction chemo-immuotherapy. However, patients in L-DFM group only had a significant reduction of MTV in primary lung tumor(p < 0.05). There was no significant difference in the MTV of metastatic lymph node(p > 0.5), the SUV-TLG(p > 0.5) and Ki-TLG(p > 0.5) of primary lung tumor and metastatic lymph node, before and after induction chemo-radiotherapy. Conclusions: Patients in H-DFM group had the better treatment response of induction chemo-immunotherapy with significant decreased levels of MTV, SUV-TLG and Ki-TLG. Dynamic 18F-FDG Total body PET Imaging could be regard as a potential predictive marker of induction chemo-immunotherapy response in the setting of LA-NSCLC.

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Quantifying Brain [18F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging Data

IEEE Journal of Biomedical and Health Informatics ◽

10.1109/jbhi.2018.2890459 ◽

2019 ◽

Vol 23 (6) ◽

pp. 2576-2582 ◽

Cited By ~ 1

Author(s):

Elisa Roccia ◽

Arthur Mikhno ◽

R. Todd Ogden ◽

J. John Mann ◽

Andrew F. Laine ◽

...

Keyword(s):

Pet Imaging ◽

Dynamic Pet ◽

Imaging Data ◽

Health Records ◽

Fdg Uptake ◽

18F Fdg ◽

Medical Health

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An iterative image-based inter-frame motion compensation method for dynamic brain PET imaging

Physics in Medicine and Biology ◽

10.1088/1361-6560/ac4a8f ◽

2022 ◽

Author(s):

Tao Sun ◽

Yaping Wu ◽

Yan Bai ◽

Zhenguo Wang ◽

Chushu Shen ◽

...

Keyword(s):

Image Quality ◽

Pet Imaging ◽

Motion Compensation ◽

Involuntary Movement ◽

Motion Artifacts ◽

Dynamic Pet ◽

Brain Pet ◽

18F Fdg ◽

Frame Motion ◽

Inter Frame

Abstract As a non-invasive imaging tool, Positron Emission Tomography (PET) plays an important role in brain science and disease research. Dynamic acquisition is one way of brain PET imaging. Its wide application in clinical research has often been hindered by practical challenges, such as patient involuntary movement, which could degrade both image quality and the accuracy of the quantification. This is even more obvious in scans of patients with neurodegeneration or mental disorders. Conventional motion compensation methods were either based on images or raw measured data, were shown to be able to reduce the effect of motion on the image quality. As for a dynamic PET scan, motion compensation can be challenging as tracer kinetics and relatively high noise can be present in dynamic frames. In this work, we propose an image-based inter-frame motion compensation approach specifically designed for dynamic brain PET imaging. Our method has an iterative implementation that only requires reconstructed images, based on which the inter-frame subject movement can be estimated and compensated. The method utilized tracer-specific kinetic modelling and can deal with simple and complex movement patterns. The synthesized phantom study showed that the proposed method can compensate for the simulated motion in scans with 18F-FDG, 18F-Fallypride and 18F-AV45. Fifteen dynamic 18F-FDG patient scans with motion artifacts were also processed. The quality of the recovered image was superior to the one of the non-corrected images and the corrected images with other image-based methods. The proposed method enables retrospective image quality control for dynamic brain PET imaging, hence facilitates the applications of dynamic PET in clinics and research.

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Quantitative Assessment of Glucose Transport in Human Skeletal Muscle: Dynamic Positron Emission Tomography Imaging of [O-Methyl-11C]3-O-Methyl-d-Glucose

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/jc.2004-1092 ◽

2005 ◽

Vol 90 (3) ◽

pp. 1752-1759 ◽

Cited By ~ 12

Author(s):

Alessandra Bertoldo ◽

Julie Price ◽

Chet Mathis ◽

Scott Mason ◽

Daniel Holt ◽

...

Keyword(s):

Skeletal Muscle ◽

Positron Emission Tomography ◽

Glucose Transport ◽

Pet Imaging ◽

Human Skeletal Muscle ◽

Insulin Infusion ◽

Emission Tomography ◽

Dynamic Pet ◽

Positron Emission ◽

18F Fdg

Insulin-stimulated glucose transport in skeletal muscle is regarded as a key determinant of insulin sensitivity, yet isolation of this step for quantification in human studies is a methodological challenge. One notable approach is physiological modeling of dynamic positron emission tomography (PET) imaging using 2-[18-fluoro]2-deoxyglucose ([18F]FDG); however, this has a potential limitation in that deoxyglucose undergoes phosphorylation subsequent to transport, complicating separate estimations of these steps. In the current study we explored the use of dynamic PET imaging of [11C]3-O-methylglucose ([11C]3-OMG), a glucose analog that is limited to bidirectional glucose transport. Seventeen lean healthy volunteers with normal insulin sensitivity participated; eight had imaging during basal conditions, and nine had imaging during euglycemic insulin infusion at 30 mU/min·m2. Dynamic PET imaging of calf muscles was conducted for 90 min after the injection of [11C]3-OMG. Spectral analysis of tissue activity indicated that a model configuration of two reversible compartments gave the strongest statistical fit to the kinetic pattern. Accordingly, and consistent with the structure of a model previously used for [18F]FDG, a two-compartment model was applied. Consistent with prior [18F]FDG findings, insulin was found to have minimal effect on the rate constant for movement of [11C]3-OMG from plasma to tissue interstitium. However, during insulin infusion, a robust and highly significant increase was observed in the kinetics of inward glucose transport; this and the estimated tissue distribution volume for [11C]3-OMG increased 6-fold compared with basal conditions. We conclude that dynamic PET imaging of [11C]3-OMG offers a novel quantitative approach that is both chemically specific and tissue specific for in vivo assessment of glucose transport in human skeletal muscle.

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Valuable Characteristic of Patlak Parametric Imaging Based on Total-Body Dynamic PET Imaging: Higher Contrast For Tumor Lesions With Respect To Hypermetabolic Tissues

10.21203/rs.3.rs-669813/v1 ◽

2021 ◽

Author(s):

Zixiang Chen ◽

Yanhua Duan ◽

Chenwei Li ◽

Ying Wang ◽

Yongfeng Yang ◽

...

Keyword(s):

Parametric Imaging ◽

Dynamic Pet ◽

Parametric Images ◽

Positron Emission ◽

Tumor Tissues ◽

Valuable Characteristic ◽

Clinical Detection ◽

Detection And Diagnosis ◽

Total Body ◽

Body Dynamic

Abstract Purpose To demonstrate the characteristics of high-contrast tumor lesions on total-body dynamic positron emission tomography (dPET) parametric images qualitatively and quantitatively. Method We reported the results of Patlak parametric images based on total-body dPET images of four patients with different types of tumor lesions. The contrast-to-noise ratios (CNRs) of the target tumor lesions were calculated with respect to hypermetabolic tissues, including the liver and ventricles, both on static PET and parametric images. Results Visual comparisons between the last frame of total-body dPET images and the generated parametric images illustrated the higher contrast of tumor lesions relative to other tissues in the patients. Visualization of the tumor lesions was reserved, while that of the livers and ventricles was diminished. The parametric images resulted in higher CNR values for the tumor lesions with respect to livers and ventricles compared to those given by dynamic PET images. The results were consistent in all the cases analyzed in this study. Conclusion Patlak parametric imaging provides the valuable characteristic of higher contrast for tumor lesions than hypermetabolic tissues, which helps in the clinical detection and diagnosis of tumor tissues.

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