Dynamic PET imaging with ultra-low-activity of 18F-FDG: unleashing the potential of total-body PET

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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Feasibility of Assessing [18F]FDG Lung Metabolism with Late Dynamic PET Imaging

Molecular Imaging and Biology ◽

10.1007/s11307-010-0345-6 ◽

2010 ◽

Vol 13 (2) ◽

pp. 378-384 ◽

Cited By ~ 10

Author(s):

Eric Laffon ◽

Henri de Clermont ◽

Jean-Marc Vernejoux ◽

Jacques Jougon ◽

Roger Marthan

Keyword(s):

Pet Imaging ◽

Dynamic Pet ◽

Lung Metabolism ◽

18F Fdg

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Dynamic 18F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function

BMC Medical Imaging ◽

10.1186/s12880-021-00623-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Jingnan Wang ◽

Yunwen Shao ◽

Bowei Liu ◽

Xuezhu Wang ◽

Barbara Katharina Geist ◽

...

Keyword(s):

Hepatic Artery ◽

Kinetic Modeling ◽

Pet Imaging ◽

Fdg Pet ◽

Compartment Model ◽

Input Function ◽

Dynamic Pet ◽

Malignant Lesions ◽

18F Fdg ◽

Healthy Liver

Abstract Background Dynamic PET with kinetic modeling was reported to be potentially helpful in the assessment of hepatic malignancy. In this study, a kinetic modeling analysis was performed on hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) from dynamic FDG positron emission tomography/computer tomography (PET/CT) scans. Methods A reversible two-tissue compartment model with dual blood input function, which takes into consideration the blood supply from both hepatic artery and portal vein, was used for accurate kinetic modeling of liver dynamic 18F-FDG PET imaging. The blood input functions were directly measured as the mean values over the VOIs on descending aorta and portal vein respectively. And the contribution of hepatic artery to the blood input function was optimization-derived in the process of model fitting. The kinetic model was evaluated using dynamic PET data acquired on 24 patients with identified hepatobiliary malignancy. 38 HCC or ICC identified lesions and 24 healthy liver regions were analyzed. Results Results showed significant differences in kinetic parameters $${K}_{1}-{k}_{4}$$ K 1 - k 4 , blood supplying fraction $${f}_{A}$$ f A , and metabolic rate constant $${K}_{i}$$ K i between malignant lesions and healthy liver tissue. And significant differences were also observed in $${K}_{1}$$ K 1 , $${k}_{3}$$ k 3 , $${f}_{A}$$ f A and $${K}_{i}$$ K i between HCC and ICC lesions. Further investigations of the effect of SUV measurements on the derived kinetic parameters were conducted. And results showed comparable effectiveness of the kinetic modeling using either SUVmean or SUVmax measurements. Conclusions Dynamic 18F-FDG PET imaging with optimization-derived hepatic artery blood supply fraction dual-blood input function kinetic modeling can effectively distinguish malignant lesions from healthy liver tissue, as well as HCC and ICC lesions.

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Is the Physical Decay Correction of the 18F-FDG Input Function in Dynamic PET Imaging Justified?

Journal of Nuclear Medicine Technology ◽

10.2967/jnmt.108.060350 ◽

2009 ◽

Vol 37 (2) ◽

pp. 111-113 ◽

Cited By ~ 4

Author(s):

E. Laffon ◽

O. Barret ◽

R. Marthan ◽

D. Ducassou

Keyword(s):

Pet Imaging ◽

Input Function ◽

Dynamic Pet ◽

18F Fdg

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Crossed Cerebellar Diaschisis in Alzheimer’s Disease

Current Alzheimer Research ◽

10.2174/1567205015666180913102615 ◽

2018 ◽

Vol 15 (13) ◽

pp. 1267-1275 ◽

Cited By ~ 1

Author(s):

F.E. Reesink ◽

D. Vállez García ◽

C.A. Sánchez-Catasús ◽

D.E. Peretti ◽

A.T. Willemsen ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Left Hemisphere ◽

Pet Imaging ◽

Fdg Pet ◽

Pathophysiological Mechanism ◽

Crossed Cerebellar Diaschisis ◽

Amyloid Accumulation ◽

Cerebellar Diaschisis ◽

18F Fdg

Background: We describe the phenomenon of crossed cerebellar diaschisis (CCD) in four subjects diagnosed with Alzheimer’s disease (AD) according to the National Institute on Aging - Alzheimer Association (NIA-AA) criteria, in combination with 18F-FDG PET and 11C-PiB PET imaging. Methods: 18F-FDG PET showed a pattern of cerebral metabolism with relative decrease most prominent in the frontal-parietal cortex of the left hemisphere and crossed hypometabolism of the right cerebellum. 11C-PiB PET showed symmetrical amyloid accumulation, but a lower relative tracer delivery (a surrogate of relative cerebral blood flow) in the left hemisphere. CCD is the phenomenon of unilateral cerebellar hypometabolism as a remote effect of supratentorial dysfunction of the brain in the contralateral hemisphere. The mechanism implies the involvement of the cortico-ponto-cerebellar fibers. The pathophysiology is thought to have a functional or reversible basis but can also reflect in secondary morphologic change. CCD is a well-recognized phenomenon, since the development of new imaging techniques, although scarcely described in neurodegenerative dementias. Results: To our knowledge this is the first report describing CCD in AD subjects with documentation of both 18F-FDG PET and 11C-PiB PET imaging. CCD in our subjects was explained on a functional basis due to neurodegenerative pathology in the left hemisphere. There was no structural lesion and the symmetric amyloid accumulation did not correspond with the unilateral metabolic impairment. Conclusion: This suggests that CCD might be caused by non-amyloid neurodegeneration. The pathophysiological mechanism, clinical relevance and therapeutic implications of CCD and the role of the cerebellum in AD need further investigation.

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