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Jackwerth M, Mairinger S, Rausch I, Weber M, Jorda A, Nics L, Langsteger W, Zeitlinger M, Hacker M, Langer O. Effect of probenecid on the whole-body disposition of 6-bromo-7-[ 11C]methylpurine in humans assessed with long axial field-of-view PET/CT. Eur J Nucl Med Mol Imaging 2025; 52:2477-2490. [PMID: 39920267 PMCID: PMC12119383 DOI: 10.1007/s00259-025-07121-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Accepted: 01/27/2025] [Indexed: 02/09/2025]
Abstract
PURPOSE Multidrug resistance-associated proteins (MRPs) have a widespread tissue distribution. They play an important role in drug disposition and drug-drug interactions (DDIs) and have been associated with various diseases. PET with 6-bromo-7-[11C]methylpurine ([11C]BMP) has been used to assess MRP1 function in the brain and lungs of mice. [11C]BMP crosses cellular membranes by passive diffusion followed by intracellular conjugation with glutathione and MRP1-mediated efflux of the radiolabelled glutathione-conjugate. In this study, we assessed the effect of the prototypical organic anion transporter inhibitor probenecid on the whole-body disposition of [11C]BMP to examine its suitability for measuring the function of MRP1 and possibly other MRP subtypes across multiple tissues. METHODS Seven healthy volunteers (3 women, 4 men) underwent two dynamic whole-body PET scans on a long axial field-of-view (LAFOV) PET/CT system after intravenous injection of [11C]BMP, without and with pre-treatment with a single oral dose of probenecid. Volumes of interest were outlined for several MRP-expressing tissues (cerebral cortex, cerebellum, choroid plexus, retina, lungs, myocardium, skeletal muscle, kidneys, and liver). Tissue time-activity curves were corrected for the contribution of vascular radioactivity and the elimination rate constant (kE, h- 1) was calculated as a parameter for tissue MRP function. RESULTS Radioactivity was primarily excreted into the urinary bladder and urinary clearance was significantly decreased after probenecid administration (- 50 ± 16%). Following probenecid administration, kE was significantly decreased in the kidneys (- 43 ± 20%), liver (- 18 ± 15%), myocardium (- 16 ± 12%), skeletal muscle (- 51 ± 34%), and retina (- 57 ± 29%, non-blood-corrected). CONCLUSION Our study highlights the great potential of LAFOV PET/CT to assess drug disposition and transporter-mediated DDIs in humans at a whole-body, multi-tissue level. Due to the slow elimination of [11C]BMP-derived radioactivity from the human brain, [11C]BMP appears unsuitable to measure cerebral MRP1 function in humans, but it may be used to assess the function of MRP1 and possibly other MRP subtypes in various peripheral tissues. TRIAL REGISTRATION EudraCT 2021-006348-29. Registered 15 December 2021.
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Affiliation(s)
- Matthias Jackwerth
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Severin Mairinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Ivo Rausch
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Maria Weber
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Anselm Jorda
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Lukas Nics
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Werner Langsteger
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Markus Zeitlinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Oliver Langer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
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Zhang Y, Yu C, Wang L, Zhou L, Li C, Yuan C, Sun N, Hao G, Ma C, Lin Y, Li H, Hong J, Zhao J, Lou K, Zhang R, Xie C, Wang S. Synthesis and Anticancer Activity Evaluation of Novel Carborane-Containing Isoflavonoid Analogues. ACS OMEGA 2025; 10:18720-18732. [PMID: 40385218 PMCID: PMC12079591 DOI: 10.1021/acsomega.5c00262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2025] [Revised: 03/05/2025] [Accepted: 03/12/2025] [Indexed: 05/20/2025]
Abstract
Isoflavonoids represent a privileged structure derived from natural products with diverse bioactivities. Carborane has been utilized as a three-dimensional mimetic of phenyl rings in medicinal chemistry. Herein, we replaced the phenyl group of isoflavonoids with carborane and prepared a series of carborane-containing isoflavonoid analogues. Compounds 1d, 1g, and 1m showed significantly enhanced antiproliferative activities on a broad scope of cancer cell lines. Further studies indicated that both 1d and 1m inhibited JAK/STAT5, PI3K/AKT, and p38 MAPK pathways, leading to G1 cell cycle phase arrest. Additionally, both compounds reduced the expression of P-glycoprotein (P-gp), a key mediator in multidrug resistance, and reversed the resistance of chemotherapeutic agents in multidrug-resistant cells in vitro. The biodistribution of compounds 1d and 1m was evaluated through ICP-mass and positron emission tomography imaging studies. Taken together, these results suggested promising pharmaceutical properties for the carborane-containing isoflavonoid analogues.
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Affiliation(s)
- Yirong Zhang
- School of
Biomedical Engineering & State Key Laboratory of Advanced Medical
Materials and Devices, ShanghaiTech University, Shanghai 201210, China
- School of
Pharmacy, East China University of Science
and Technology, Shanghai 200237, China
| | - Chuwei Yu
- Lingang
Laboratory, Shanghai 200031, China
| | - Linyuan Wang
- School of
Biomedical Engineering & State Key Laboratory of Advanced Medical
Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Lina Zhou
- School of
Life Science and Technology, ShanghaiTech
University, Shanghai 201210, China
- Shanghai
Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China
| | - Chaofan Li
- School of
Biomedical Engineering & State Key Laboratory of Advanced Medical
Materials and Devices, ShanghaiTech University, Shanghai 201210, China
- College of
Chemical and Pharmaceutical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
| | - Changxian Yuan
- School of
Biomedical Engineering & State Key Laboratory of Advanced Medical
Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Nan Sun
- School of
Biomedical Engineering & State Key Laboratory of Advanced Medical
Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Guanxiang Hao
- School of
Biomedical Engineering & State Key Laboratory of Advanced Medical
Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Chenyang Ma
- School of
Biomedical Engineering & State Key Laboratory of Advanced Medical
Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Yuzhe Lin
- School of
Biomedical Engineering & State Key Laboratory of Advanced Medical
Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Hongjing Li
- School of
Biomedical Engineering & State Key Laboratory of Advanced Medical
Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Jiali Hong
- School of
Biomedical Engineering & State Key Laboratory of Advanced Medical
Materials and Devices, ShanghaiTech University, Shanghai 201210, China
- School of
Pharmacy, East China University of Science
and Technology, Shanghai 200237, China
| | - Jinhua Zhao
- Department
of Nuclear Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
| | - Kaiyan Lou
- School of
Pharmacy, East China University of Science
and Technology, Shanghai 200237, China
| | - Rui Zhang
- Department
of Nuclear Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
| | | | - Sinan Wang
- School of
Biomedical Engineering & State Key Laboratory of Advanced Medical
Materials and Devices, ShanghaiTech University, Shanghai 201210, China
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Zhao Q, Liow JS, Jee JE, Montero Santamaria J, Pamie-George M, Morse C, Wu S, Zoghbi SS, Kim SW, Innis RB, Pike VW, Telu S. [ 11C]ZTP-1: An Effective Short-Lived Radioligand for PET of Rat and Monkey Brain Phosphodiesterase Type 4 Subtype B. J Nucl Med 2025:jnumed.124.269159. [PMID: 40341096 DOI: 10.2967/jnumed.124.269159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Accepted: 03/31/2025] [Indexed: 05/10/2025] Open
Abstract
Phosphodiesterase type 4 subtype B (PDE4B) selectively hydrolyzes cyclic adenosine monophosphate to enact numerous downstream signaling events. PDE4B is widely expressed in the brain and is implicated in several neuropsychiatric disorders. Moreover, PDE4B inhibition shows antiinflammatory and antidepressant-like effects in animal studies. [18F]PF-06445974 has been developed to image human brain PDE4B using PET, thereby providing a tool for pathophysiologic studies and drug development. However, a radioligand labeled with shorter-lived 11C would be an alternative for studies that require more than 1 administration into the same imaging subject on a single day. Methods: 8-Cyclopropyl-10-(3,5-difluoro-4-(methoxy)phenyl)-7,8-dihydropyrido[2',3':4,5]pyrrolo[1,2-a]pyrazin-9(6H)-1 (ZTP-1) was identified as possessing many favorable properties for development as a 11C-labeled PET radioligand, including high PDE4B inhibitory potency, moderate computed lipophilicity, and a methoxy group as a potential labeling site. Here, [11C]ZTP-1 was readily obtained by 11C methylation of a synthesized O-desmethyl precursor. PET imaging of rat and rhesus monkey brains was performed with [11C]ZTP-1 at baseline and after administration of PDE4B- and PDE4D-selective inhibitors. Radiometabolite profiles for [11C]ZTP-1 were also determined ex vivo in rat plasma and brains. Results: [11C]ZTP-1 was obtained in a high activity yield and with high molar activity. Rat and monkey PET imaging showed high whole-brain radioactivity uptake with subsequent gradual washout. Challenge experiments verified a high and PDE4B-selective PET signal in rat and monkey brains. Ex vivo rat brain uptake of [11C]ZTP-1 showed less than 1% radiometabolite contamination at 30 min. Total distribution volume measures in monkey brains quickly reached stability. Conclusion: [11C]ZTP-1 is a promising, shorter-lived alternative to [18F]PF-06445974 for quantifying brain PDE4B in rodents and nonhuman primates with PET and warrants further investigation in humans.
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Affiliation(s)
- Qunchao Zhao
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Jeih-San Liow
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Joo Eun Jee
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Jose Montero Santamaria
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Matilah Pamie-George
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Cheryl Morse
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Shawn Wu
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Sami S Zoghbi
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Sung Won Kim
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Robert B Innis
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Victor W Pike
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Sanjay Telu
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
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4
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Baran J, Krzemien W, Parzych S, Raczyński L, Bała M, Coussat A, Chug N, Czerwiński E, Curceanu CO, Dadgar M, Dulski K, Eliyan K, Gajewski J, Gajos A, Hiesmayr BC, Kacprzak K, Kapłon Ł, Klimaszewski K, Korcyl G, Kozik T, Kumar D, Niedźwiecki S, Panek D, Perez Del Rio E, Ruciński A, Sharma S, Shivani, Shopa RY, Skurzok M, Stępień E, Tayefiardebili F, Tayefiardebili K, Wiślicki W, Moskal P. Realistic total-body J-PET geometry optimization: Monte Carlo study. Med Phys 2025; 52:2961-2975. [PMID: 39853786 DOI: 10.1002/mp.17627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 11/26/2024] [Accepted: 12/28/2024] [Indexed: 01/26/2025] Open
Abstract
BACKGROUND Total-body (TB) Positron Emission Tomography (PET) is one of the most promising medical diagnostics modalities, opening new perspectives for personalized medicine, low-dose imaging, multi-organ dynamic imaging or kinetic modeling. The high sensitivity provided by total-body technology can be advantageous for novel tomography methods like positronium imaging, demanding the registration of triple coincidences. Currently, state-of-the-art PET scanners use inorganic scintillators. However, the high acquisition cost reduces the accessibility of TB PET technology. Several efforts are ongoing to mitigate this problem. Among the alternatives, the Jagiellonian PET (J-PET) technology, based on axially arranged plastic scintillator strips, offers a low-cost alternative solution for TB PET. PURPOSE The work aimed to compare five total-body J-PET geometries with plastic scintillators suitable for multi-organ and positronium tomography as a possible next-generation J-PET scanner design. METHODS We present comparative studies of performance characteristics of the cost-effective total-body PET scanners using J-PET technology. We investigated in silico five TB scanner geometries, varying the number of rings, scanner radii, and other parameters. Monte Carlo simulations of the anthropomorphic XCAT phantom, the extended 2-m sensitivity line source and positronium sensitivity phantoms were used to assess the performance of the geometries. Two hot spheres were placed in the lungs and in the liver of the XCAT phantom to mimic the pathological changes. We compared the sensitivity profiles and performed quantitative analysis of the reconstructed images by using quality metrics such as contrast recovery coefficient, background variability and root mean squared error. The studies are complemented by the determination of sensitivity for the positronium lifetime tomography and the relative cost analysis of the studied setups. RESULTS The analysis of the reconstructed XCAT images reveals the superiority of the seven-ring scanners over the three-ring setups. However, the three-ring scanners would be approximately 2-3 times cheaper. The peak sensitivity values for two-gamma vary from 20 to 34 cps/kBq and are dominated by the differences in geometrical acceptance of the scanners. The sensitivity curves for the positronium tomography have a similar shape to the two-gamma sensitivity profiles. The peak values are lower compared to the two-gamma cases, from about 20-28 times, with a maximum value of 1.66 cps/kBq. This can be contrasted with the 50-cm one-layer J-PET modular scanner used to perform the first in-vivo positronium imaging with a sensitivity of 0.06 cps/kBq. CONCLUSIONS The results show the feasibility of multi-organ imaging of all the systems to be considered for the next generation of TB J-PET designs. Among the scanner parameters, the most important ones are related to the axial field-of-view coverage. The two-gamma sensitivity and XCAT image reconstruction analyzes show the advantage of seven-ring scanners. However, the cost of the scintillator materials and SiPMs is more than two times higher for the longer modalities compared to the three-ring solutions. Nevertheless, the relative cost for all the scanners is about 10-4 times lower compared to the cost of the uExplorer. These properties coupled together with J-PET cost-effectiveness and triggerless acquisition mode enabling three-gamma positronium imaging, make the J-PET technology an attractive solution for broad application in clinics.
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Affiliation(s)
- Jakub Baran
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Wojciech Krzemien
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
- High Energy Physics Division, National Centre for Nuclear Research, Otwock-Świerk, Poland
| | - Szymon Parzych
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Lech Raczyński
- Department of Complex Systems, National Centre for Nuclear Research, Otwock-Świerk, Poland
| | - Mateusz Bała
- Department of Complex Systems, National Centre for Nuclear Research, Otwock-Świerk, Poland
| | - Aurélien Coussat
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Neha Chug
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Eryk Czerwiński
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | | | - Meysam Dadgar
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Kamil Dulski
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Kavya Eliyan
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Jan Gajewski
- Cyclotron Centre Bronowice, Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
| | - Aleksander Gajos
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | | | - Krzysztof Kacprzak
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Łukasz Kapłon
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Konrad Klimaszewski
- Department of Complex Systems, National Centre for Nuclear Research, Otwock-Świerk, Poland
| | - Grzegorz Korcyl
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Tomasz Kozik
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Deepak Kumar
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Szymon Niedźwiecki
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Dominik Panek
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Elena Perez Del Rio
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Antoni Ruciński
- Cyclotron Centre Bronowice, Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
| | - Sushil Sharma
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Shivani
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Roman Y Shopa
- Department of Complex Systems, National Centre for Nuclear Research, Otwock-Świerk, Poland
| | - Magdalena Skurzok
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Ewa Stępień
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Faranak Tayefiardebili
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Keyvan Tayefiardebili
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
| | - Wojciech Wiślicki
- Department of Complex Systems, National Centre for Nuclear Research, Otwock-Świerk, Poland
| | - Paweł Moskal
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
- Total-Body Jagiellonian-PET Laboratory, Jagiellonian University, Kraków, Poland
- Center for Theranostics, Jagiellonian University, Kraków, Poland
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Chen Q, Dong L, Xu L, Zhao H, Li L, Huang G, Liu J, Chen R. Comparison of clinical performance between late and standard total-body [ 68 Ga]Ga-PSMA-11 in biochemical recurrent prostate cancer. Eur J Nucl Med Mol Imaging 2025; 52:1249-1256. [PMID: 39540904 DOI: 10.1007/s00259-024-06980-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 11/05/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND AND PURPOSE Enhanced lesion detection in prostate cancer is observed with late [68 Ga]Ga-PSMA-11 PET/CT imaging compared to standard [68 Ga]Ga-PSMA-11 PET/CT imaging (50-100 min p.i.). However, the poor image quality of late imaging using short axial field of view (SAFOV) PET/CT has hindered its sole clinical adoption. Conversely, the image quality of late imaging with a long axial field of view (LAFOV) [68 Ga]Ga-PSMA-11 PET/CT fulfills clinical diagnostic requirements. Nonetheless, the diagnostic efficacy of late LAFOV [68 Ga]Ga-PSMA-11 PET/CT with forced diuresis and its impact on treatment decisions, compared to standard LAFOV [68 Ga]Ga-PSMA-11 PET/CT, remains unclear. This study aims to compare the rate of PET positivity between late and standard LAFOV [68 Ga]Ga-PSMA-11 PET/CT and to evaluate the influence of late LAFOV [68 Ga]Ga-PSMA-11 PET/CT with forced diuresis on treatment decisions relative to standard scans. METHODS From January 2021 to April 2024, 127 patients with biochemical recurrence of prostate cancer post-radical prostatectomy were enrolled to undergo both standard and late LAFOV [68 Ga]Ga-PSMA-11 PET/CT scans at Shanghai Renji Hospital. We compared the rate of PET positivity between the two modalities at the patient level and across different anatomical regions. We assessed the added diagnostic value of late LAFOV [68 Ga]Ga-PSMA-11 PET/CT and its impact on modifying patient treatment plans. RESULTS The image quality of late LAFOV [68 Ga]Ga-PSMA-11 PET/CT with forced diuresis in all patients met clinical diagnostic requirements. The rate of PET positivity of late LAFOV [68 Ga]Ga-PSMA-11 PET/CT with forced diuresis were significantly higher than those of standard LAFOV [68 Ga]Ga-PSMA-11 PET/CT (80.31% [102/127] vs. 65.35% [83/127]; P < 0.001). Late LAFOV [68 Ga]Ga-PSMA-11 PET/CT demonstrated higher lesion SUVmax (16.69 ± 16.42 vs. 11.91 ± 10.72, P < 0.001) and TBR (6.26 ± 7.21 vs. 3.44 ± 3.57, P < 0.001) compared to standard LAFOV scans. Additionally, 14.17% (18/127) of patients experienced changes in their treatment regimen due to the superior detection capabilities of late LAFOV [68 Ga]Ga-PSMA-11 PET/CT with forced diuresis compared to the standard scan. CONCLUSIONS The rate of PET positivity of late LAFOV [68 Ga]Ga-PSMA-11 PET/CT with forced diuresis compared to standard LAFOV [68 Ga]Ga-PSMA-11 PET/CT highlight its potential as a valuable diagnostic tool for biochemically recurrent prostate cancer. This study paves the way for using late LAFOV [68 Ga]Ga-PSMA-11 PET/CT with forced diuresis for prostate cancer imaging in daily clinical practice, facilitating more accurate and timely diagnoses.
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Affiliation(s)
- Qiaochu Chen
- Department of Nuclear Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China
| | - Liang Dong
- Department of Urology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Lian Xu
- Department of Nuclear Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China
| | - Haitao Zhao
- Department of Nuclear Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China
| | - Lianghua Li
- Department of Nuclear Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China
| | - Gang Huang
- Department of Nuclear Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China.
- Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, 160 Pujian Road, Shanghai, 200127, China.
| | - Jianjun Liu
- Department of Nuclear Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China.
| | - Ruohua Chen
- Department of Nuclear Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China.
- Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, 160 Pujian Road, Shanghai, 200127, China.
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Zhao Q, Telu S, Lu S, Pike VW. Expanding tracer space for positron emission tomography with high molar activity 18F-labeled α,α-difluoromethylalkanes. Nat Commun 2025; 16:1608. [PMID: 39948078 PMCID: PMC11825696 DOI: 10.1038/s41467-025-56897-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Accepted: 02/05/2025] [Indexed: 02/16/2025] Open
Abstract
Positron emission tomography (PET) is an advanced biomedical imaging modality that relies on well-designed radiotracers to report on specific protein targets and processes occurring in living animals and humans. Cyclotron-produced short-lived fluorine-18 (t1/2 = 109.8 min) is widely used to radiolabel tracers for PET. Herein we aim to expand the chemical space available for PET tracer development to include structures with 18F-labeled α,α-difluoromethylalkyl groups. We report an efficient and broad-scope method for labeling such groups with high molar activities based on a single-step radiofluorination of α-bromo-α-fluoroalkanes. The method is applicable to bioactive compounds and drug-like molecules, and is readily automated for radiotracer production. The unique physical and biochemical features of the α,α-difluoromethyl group can now be exploited in the design of new PET tracers.
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Affiliation(s)
- Qunchao Zhao
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1003, USA
| | - Sanjay Telu
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1003, USA.
| | - Shuiyu Lu
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1003, USA
| | - Victor W Pike
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1003, USA.
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7
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Cong L, Kuang Z, Ren N, Sang Z, Liu Z, Niu M, Xie S, Peng Q, Yang Y. Algorithms to reduce the edge effect and improve the flood histogram quality of a PET detector consisting of two pixelated crystal arrays. Med Phys 2025; 52:856-866. [PMID: 39432181 DOI: 10.1002/mp.17484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 10/07/2024] [Accepted: 10/07/2024] [Indexed: 10/22/2024] Open
Abstract
PURPOSE The performance of detectors is key for a PET scanner to achieve high spatial resolution and high sensitivity. This work aims to develop flood histogram generating algorithms to reduce the edge effect and improve the crystal identification of a PET detector consisting of two optically coupled pixelated scintillator detectors. METHODS The PET detector consists of two optically coupled detectors, each consisting of a 23×23 LYSO crystal array with a crystal size of 1.0×1.0×20 mm3 read out by an 8×8 SiPM array with a pixel size of 3.0×3.0 mm2. The SiPM array is read out with a resistor network circuit to obtain four position encoding energy signals. A novel center of gravity (COG) positioning algorithm using six signals from the two detectors was proposed and compared to the traditional COG algorithms using either four or eight signals from the detectors. The raised-to-the-power (RTP) method was applied to the three COG algorithms for the PET detector. Different powers of the RTP from 1.0 to 2.5 were evaluated. RESULTS The proposed COG algorithm significantly improves the crystal identification at the junction of the two detectors as compared to the COG algorithm using four signals of each detector, and improves the crystal identification at the center of the two detectors as compared to the COG algorithm using eight signals from both detectors. The RTP method significantly improves the overall flood histogram qualities of the two COG algorithms using either eight or six signals from the two detectors, and the two COG algorithm provide similar flood histogram quality when a power of 1.5 is used. CONCLUSION The novel positioning algorithms reduce the edge effect and improve the flood histogram quality for a PET detector consisting of two optically coupled detectors, each consisting of a pixelated scintillator crystal array and a SiPM array with highly multiplexed four signal readout. The positioning algorithms can be used in a PET scanner to improve the spatial resolution and sensitivity.
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Affiliation(s)
- Longhan Cong
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
| | - Zhonghua Kuang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Microelectronics and Optoelectronics Technology Key Laboratory of Hunan Higher Education, School of Physics and Electronics-Electrical Engineering, Xiangnan University, Chenzhou, China
| | - Ning Ren
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ziru Sang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zheng Liu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ming Niu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
| | - Siwei Xie
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
| | - Qiyu Peng
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
| | - Yongfeng Yang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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8
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Liu G, Gu Y, Sollini M, Lazar A, Besson FL, Li S, Wu Z, Nardo L, Al-Ibraheem A, Zheng J, Kulkarni HR, Rominger A, Fan W, Zhu X, Zhao X, Wu H, Liu J, Li B, Cheng Z, Wang R, Xu B, Agostini D, Tang H, Tan L, Yang Z, Huo L, Gu J, Shi H. Expert consensus on workflow of PET/CT with long axial field-of-view. Eur J Nucl Med Mol Imaging 2025; 52:1038-1049. [PMID: 39520515 DOI: 10.1007/s00259-024-06968-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 10/26/2024] [Indexed: 11/16/2024]
Abstract
PURPOSE Positron emission tomography/computed tomography (PET/CT) imaging has been widely used in clinical practice. Long axial field-of-view (LAFOV) systems have enhanced clinical practice by leveraging their technological advantages and have emerged as the new state-of-the-art PET imaging modalities. A consensus was conducted to explore expert views in this emerging field to comprehensively elucidate the proposed workflow in LAFOV PET/CT examinations and highlight the potential challenges inherent in the workflow. METHODS A multidisciplinary task group formed by 28 experts from six countries over the world discussed and approved the consensus based on the published guidelines, peer-reviewed articles of LAFOV PET/CT, and the collective experience from clinical practice. This consensus focuses on the workflow that allows for a broader range of imaging protocols of LAFOV PET/CT, catering to diverse patient needs and in line with precision medicine principles. RESULTS This consensus describes the workflows and imaging protocols of LAFOV PET/CT for various imaging scenarios including routine static imaging, dynamic imaging, low-activity imaging, fast imaging, prolonged imaging, delayed imaging, and dual-tracer imaging. In addition, imaging reconstruction and reviewing specific to LAFOV PET/CT imaging, as well as the main challenges facing installation and application of LAFOV PET/CT scanner were also summarized. CONCLUSION This consensus summarized the various imaging workflow, imaging protocol, and challenges of LAFOV PET/CT imaging, aiming to enhance the clinical and research applications of these scanners.
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Affiliation(s)
- Guobing Liu
- Shanghai Institute of Medical Imaging, Shanghai, 200032, P.R. China
- Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, P.R. China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China
| | - Yushen Gu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, P.R. China
- Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, P.R. China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China
| | - Martina Sollini
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Department of Nuclear Medicine, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132, Milan, Italy
| | - Alexandra Lazar
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
| | - Florent L Besson
- Department of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU Smart Imaging, CHU Bicêtre, Paris, France and Université Paris-Saclay, Commissariat À L'énergie Atomique Et Aux Énergies Alternatives (CEA), Centre National de La Recherche Scientifique (CNRS), InsermBioMaps, Orsay, France
- Université Paris-Saclay, School of Medicine, Le Kremlin-Bicêtre, France
| | - Sijin Li
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Collaborative Innovation Center for Molecular Imaging Precision Medicine, Taiyuan, 030001, P.R. China
| | - Zhifang Wu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Collaborative Innovation Center for Molecular Imaging Precision Medicine, Taiyuan, 030001, P.R. China
| | - Lorenzo Nardo
- Department of Radiology, University of California Davis, Sacramento, CA, 95819, USA
| | - Akram Al-Ibraheem
- Department of Nuclear Medicine and PET/CT, King Hussein Cancer Center (KHCC), Al-Jubeiha, Amman, 11941, Jordan
- Department of Radiology and Nuclear Medicine, School of Medicine, University of Jordan, Amman, 11942, Jordan
| | - Jiefu Zheng
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology and Medical Imaging, University of Virginia School of Medicine, 1215 Lee Street, Charlottesville, VA, 22908-0170, USA
| | - Harshad R Kulkarni
- BAMF Health, Grand Rapids, MI, 49503, USA
- Department of Radiology, Michigan State University College of Human Medicine, East Lansing, MI, 48824, USA
| | - Axel Rominger
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, CH-3010, Bern, Switzerland
| | - Wei Fan
- Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfengdong Road, Guangzhou, 510060, P.R. China
| | - Xiaohua Zhu
- Department of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Wuhan, 430030, P.R. China
| | - Xinming Zhao
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei Province, P.R. China
| | - Hubing Wu
- Nanfang PET Center, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, 510515, P.R. China
| | - Jianjun Liu
- Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160 PuJian Road, Shanghai, 200127, P.R. China
| | - Biao Li
- Department of Nuclear Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, No. 197 Ruijin Er Road, Shanghai, 200025, P.R. China
| | - Zhaoping Cheng
- Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University, No. 16766 Jingshi Road, Jinan, 250014, Shandong, P.R. China
| | - Ruimin Wang
- Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, P.R. China
| | - Baixuan Xu
- Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, P.R. China
| | - Denis Agostini
- Department of Nuclear Medicine, University Hospital of Caen and Normandie Université, EA, 4650, Caen, France
| | - Han Tang
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China
| | - Lijie Tan
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China
| | - Zhi Yang
- Key Laboratory of Carcinogenesis and Translational Research, (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, P.R. China
| | - Li Huo
- Department of Nuclear Medicine, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Beijing, 100730, P.R. China
- Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, P.R. China
| | - Jianying Gu
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China.
- Department of Plastic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China.
- Department of Plastic Surgery, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, 361015, P.R. China.
- Clinical Research Center for Precision Medicine of Abdominal Tumor of Fujian Province, Xiamen, 361015, P.R. China.
| | - Hongcheng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, P.R. China.
- Shanghai Institute of Medical Imaging, Shanghai, 200032, P.R. China.
- Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, P.R. China.
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China.
- Clinical Research Center for Precision Medicine of Abdominal Tumor of Fujian Province, Xiamen, 361015, P.R. China.
- Department of Nuclear Medicine, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, 361015, P.R. China.
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9
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Ingbritsen J, Callahan J, Morgan H, Munro M, Ware RE, Hicks RJ. Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting. Cancer Imaging 2025; 25:7. [PMID: 39881380 PMCID: PMC11780987 DOI: 10.1186/s40644-025-00823-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 01/07/2025] [Indexed: 01/31/2025] Open
Abstract
True total-body and extended axial field-of-view (AFOV) PET/CT with 1m or more of body coverage are now commercially available and dramatically increase system sensitivity over conventional AFOV PET/CT. The Siemens Biograph Vision Quadra (Quadra), with an AFOV of 106cm, potentially allows use of significantly lower administered radiopharmaceuticals as well as reduced scan times. The aim of this study was to optimise acquisition protocols for routine clinical imaging with FDG on the Quadra the prioritisation of reduced activity given physical infrastructure constraints in our facility. Low-dose (1 MBq/kg) and ultra-low dose (0.5 MBq/g) cohorts, each of 20 patients were scanned in a single bed position for 10 and 15 min respectively with list-mode data acquisition. These data were then reconstructed simulating progressively shorter acquisition times down to 30 s and 1 min, respectively and then reviewed by 2 experienced PET readers who selected the shortest optimal and minimal acquisition durations based on personal preferences. Quantitative analysis was also performed of image noise to assess how this correlated with qualitative preferences. At the consensus minimum acquisition durations at both dosing levels, the coefficient of variance in the liver as a measure of image noise was 10% or less and there was minimal reduction in this measure between the optimal and longest acquisition durations. These data support the reduction in both administered activity and scan acquisition times for routine clinical FDG PET/CT on the Quadra providing efficient workflows and low radiation doses to staff and patients, while achieving high quality images.
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Affiliation(s)
- Johanna Ingbritsen
- Melbourne Theranostic Innovation Centre, Level 8, 14-20 Blackwood St, North Melbourne, VIC, 3051, Australia
| | - Jason Callahan
- Melbourne Theranostic Innovation Centre, Level 8, 14-20 Blackwood St, North Melbourne, VIC, 3051, Australia.
| | - Hugh Morgan
- Melbourne Theranostic Innovation Centre, Level 8, 14-20 Blackwood St, North Melbourne, VIC, 3051, Australia
| | - Melissa Munro
- Melbourne Theranostic Innovation Centre, Level 8, 14-20 Blackwood St, North Melbourne, VIC, 3051, Australia
| | - Robert E Ware
- Melbourne Theranostic Innovation Centre, Level 8, 14-20 Blackwood St, North Melbourne, VIC, 3051, Australia
| | - Rodney J Hicks
- Melbourne Theranostic Innovation Centre, Level 8, 14-20 Blackwood St, North Melbourne, VIC, 3051, Australia
- Department of Medicine, The University of Melbourne, St Vincent's Hospital, Melbourne, VIC, Australia
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10
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Xia L, Wu Y, Ren Y, Wang Z, Zhou N, Zhou W, Zhou L, Jia L, He C, Meng X, Zhu H, Yang Z. A whole-body imaging technique for tumor-specific diagnostics and screening of B7H3-targeted therapies. J Clin Invest 2025; 135:e186388. [PMID: 39847434 PMCID: PMC11910224 DOI: 10.1172/jci186388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2025] Open
Abstract
BACKGROUNDB7H3, also known as CD276, is notably overexpressed in various malignant tumor cells in humans, with extremely high expression rates. The development of a radiotracer that targets B7H3 may provide a universal tumor-specific imaging agent and allow the noninvasive assessment of the whole-body distribution of B7H3-expressing lesions.METHODSWe enhanced and optimized the structure of an affibody (ABY) that targets B7H3 to create the radiolabeled radiotracer [68Ga]Ga-B7H3-BCH, and then, we conducted both foundational experiments and clinical translational studies.RESULTS[68Ga]Ga-B7H3-BCH exhibited high affinity (equilibrium dissociation constant [KD] = 4.5 nM), and it was taken up in large amounts by B7H3-transfected cells (A549CD276 and H1975CD276 cells); these phenomena were inhibited by unlabeled precursors. Moreover, PET imaging of multiple xenograft models revealed extensive [68Ga]Ga-B7H3-BCH uptake by tumors. In a clinical study including 20 patients with malignant tumors, the [68Ga]Ga-B7H3-BCH signal aggregated in both primary and metastatic lesions, surpassing fluorine-18 fluorodeoxyglucose (18F-FDG) in overall diagnostic efficacy for tumors (85.0% vs. 81.7%), including differentiated hepatocellular and metastatic gastric cancers. A strong correlation between B7H3 expression and [68Ga]Ga-B7H3-BCH uptake in tumors was observed, and B7H3 expression was detected with 84.38% sensitivity and 100% specificity when a maximum standardized uptake value (SUVmax) of 3.85 was set as the cutoff value. Additionally, B7H3-specific PET imaging is expected to predict B7H3 expression levels in tumor cells, intratumoral stroma, and peritumoral tissues.CONCLUSIONIn summary, [68Ga]Ga-B7H3-BCH has potential for the noninvasive identification of B7H3 expression in systemic lesions in patients with malignant tumors. This agent has prospects for improving pretreatment evaluation, predicting therapeutic responses, and monitoring resistance to therapy in patients with malignancies.TRIAL REGISTRATIONClinicalTrials.gov NCT06454955.FUNDINGThis research was financially supported by the Natural Science Foundation of Beijing Municipality (no. 7242266), the National Natural Science Foundation of China (no. 82202201), and the Young Elite Scientists Sponsorship Program by China Association for Science and Technology (CAST) (no. YESS20220230).
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Affiliation(s)
- Lei Xia
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Key Laboratory of Research, Investigation and Evaluation of Radiopharmaceuticals, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital and Institute, Beijing, China and
| | - Yan Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yanan Ren
- Department of Nuclear Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China
| | - Zhen Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Hepato-Pancreato-Biliary Surgery, Sarcoma Center, Peking University Cancer Hospital and Institute, Beijing, China
| | - Nina Zhou
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Key Laboratory of Research, Investigation and Evaluation of Radiopharmaceuticals, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital and Institute, Beijing, China and
| | - Wenyuan Zhou
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Key Laboratory of Research, Investigation and Evaluation of Radiopharmaceuticals, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital and Institute, Beijing, China and
| | - Lixin Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Ling Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Chengxue He
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Key Laboratory of Research, Investigation and Evaluation of Radiopharmaceuticals, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital and Institute, Beijing, China and
| | - Xiangxi Meng
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Key Laboratory of Research, Investigation and Evaluation of Radiopharmaceuticals, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital and Institute, Beijing, China and
| | - Hua Zhu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Key Laboratory of Research, Investigation and Evaluation of Radiopharmaceuticals, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital and Institute, Beijing, China and
| | - Zhi Yang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Key Laboratory of Research, Investigation and Evaluation of Radiopharmaceuticals, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital and Institute, Beijing, China and
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11
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Wei Q, Wang Y, Huang X, Li D, Zheng Y, Wang P, Sun X, Chai P, Han X, Liu S, Feng B, Zhou W, Zeng X, Zhu M, Zhang Z, Wei L. Performance evaluation of a small-animal PET scanner with 213 mm axis using NEMA NU 4-2008. Med Phys 2025; 52:530-541. [PMID: 39432708 DOI: 10.1002/mp.17469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 09/26/2024] [Accepted: 10/01/2024] [Indexed: 10/23/2024] Open
Abstract
BACKGROUND Long-axis positron emission tomography (PET) has emerged as one of the recent research directions in PET due to its ability to significantly enhance sensitivity and counting performance for low-dose imaging, rapid imaging, and whole-body dynamic imaging. PURPOSE The PET system presented in this study is a long-axis animal PET based on lutetium-yttrium orthosilicate and silicon photomultiplier, designed for whole-body imaging in rats. It features a diameter of 143 mm and an axial length of 213.3 mm. This study evaluated the performance of this PET system in accordance with the National Electrical Manufacturers Association (NEMA) NU 4-2008 standards. METHODS The performance evaluation was conducted according to the NEMA NU 4-2008 standards in terms of spatial resolution, sensitivity, counting rate performance, scatter fraction (SF) and image quality. In addition, a rat imaging study was conducted to assess the imaging capability of this PET system. RESULTS The average energy resolution of the PET system was 12.87%, the average coincidence timing resolution was 751 ps. The FWHM of spatial resolution reconstructed by filtered back projection and 3D-OSEM-PSF algorithm at 5 mm radial offset from the axial center were 1.65 and 0.88 mm. The peak absolute sensitivity measured by a point source at the center of the field of view was evaluated as 6.71% (361-661 keV) and 10.31% (250-750 keV). For the mouse-like phantom, the SF was 11.0% and the peak noise equivalent counting rate (NECR) was 1193 kcps at 94.2 MBq (2.54 mCi). For the rat-like phantom, the SF was 26.8% and the NECR was 682.5 kcps at 78.6 MBq (2.12 mCi). CONCLUSIONS The performance measurement results demonstrate that this PET system exhibits high sensitivity and count rate performance, making it potential for high-quality whole-body dynamic imaging of rats.
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Affiliation(s)
- Qing Wei
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Yingjie Wang
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Xianchao Huang
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Daowu Li
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Yushuang Zheng
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Peilin Wang
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Xiaoli Sun
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Pei Chai
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Xiaorou Han
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Shuangquan Liu
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Baotong Feng
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Wei Zhou
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Xiangtao Zeng
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Meiling Zhu
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Zhiming Zhang
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
| | - Long Wei
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, China
- Jinan Laboratory of Applied Nuclear Science, Jinan, China
- CAEA center of Excellence on Nuclear Technology Applications for Nuclear Detection and Imaging, Beijing, China
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12
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Martinez-Lucio TS, Mendoza-Ibañez OI, Liu W, Mostafapour S, Li Z, Providência L, Salvi de Souza G, Mohr P, Dobrolinska MM, van Leer B, Tingen HSA, van Sluis J, Tsoumpas C, Glaudemans AWJM, Koopmans KP, Lammertsma AA, Slart RHJA. Long Axial Field of View PET/CT: Technical Aspects in Cardiovascular Diseases. Semin Nucl Med 2025; 55:52-66. [PMID: 39537432 DOI: 10.1053/j.semnuclmed.2024.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2024] [Accepted: 10/16/2024] [Indexed: 11/16/2024]
Abstract
Positron emission tomography / computed tomography (PET/CT) plays a pivotal role in the assessment of cardiovascular diseases (CVD), particularly in the context of ischemic heart disease. Nevertheless, its application in other forms of CVD, such as infiltrative, infectious, or inflammatory conditions, remains limited. Recently, PET/CT systems with an extended axial field of view (LAFOV) have been developed, offering greater anatomical coverage and significantly enhanced PET sensitivity. These advancements enable head-to-pelvis imaging with a single bed position, and in systems with an axial field of view (FOV) of approximately 2 meters, even total body (TB) imaging is feasible in a single scan session. The application of LAFOV PET/CT in CVD presents a promising opportunity to improve systemic cardiovascular assessments and address the limitations inherent to conventional short axial field of view (SAFOV) devices. However, several technical challenges, including procedural considerations for LAFOV systems in CVD, complexities in data processing, arterial input function extraction, and artefact management, have not been fully explored. This review aims to discuss the technical aspects of LAFOV PET/CT in relation to CVD by highlighting key opportunities and challenges and examining the impact of these factors on the evaluation of most relevant CVD.
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Affiliation(s)
- Tonantzin Samara Martinez-Lucio
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Oscar Isaac Mendoza-Ibañez
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Wanling Liu
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Samaneh Mostafapour
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Zekai Li
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Laura Providência
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Giordana Salvi de Souza
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Philipp Mohr
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Magdalena M Dobrolinska
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Division of Cardiology and Structural Heart Diseases, Medical University of Silesia in Katowice, Katowice, Poland
| | - Bram van Leer
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Hendrea S A Tingen
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Joyce van Sluis
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Charalampos Tsoumpas
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Andor W J M Glaudemans
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Klaas Pieter Koopmans
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Adriaan A Lammertsma
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Riemer H J A Slart
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Biomedical Photonic Imaging, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands.
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Rathod N, Jutidamrongphan W, Bosbach WA, Chen Y, Penner JL, Sari H, Zeimpekis K, Montes AL, Moskal P, Stepien E, Shi K, Rominger A, Seifert R. Total Body PET/CT: Clinical Value and Future Aspects of Quantification in Static and Dynamic Imaging. Semin Nucl Med 2025; 55:98-106. [PMID: 39616013 DOI: 10.1053/j.semnuclmed.2024.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Revised: 11/12/2024] [Accepted: 11/13/2024] [Indexed: 12/15/2024]
Abstract
Total body (TB) Positron Emission Tomography (PET) / Computed Tomography (CT) scanners have revolutionized nuclear medicine by enabling whole-body imaging in a single bed position.1 This review assesses the physical and clinical value of TB-PET/CT, with a focus on the advancements in both static and dynamic imaging, as well as the evolving quantification techniques. The significantly enhanced sensitivity of TB scanners can reduce radiation exposure and scan time, offering improved patient comfort and making it particularly useful for pediatric imaging and various other scenarios. Shorter scan times also decrease motion artifacts, leading to higher-quality images and better diagnostic accuracy. Dynamic PET imaging with TB scanners extends these advantages by capturing temporal changes in tracer uptake over time, providing real-time insights into both structural and functional assessment, and promoting the ability to monitor disease progression and treatment response. We also present CT-free attenuation correction methods that utilize the increased sensitivity of TB-PET as a potential improvement for dynamic TB-PET protocols. In static imaging, emerging quantification techniques such as dual-tracer PET using TB scanners allow imaging of two biological pathways, simultaneously, for a more comprehensive assessment of disease. In addition, positronium imaging, a novel technique utilizing positronium lifetime measurements, is introduced as a promising aspect for providing structural information alongside functional quantification. Finally, the potential of expanding clinical applications with the increased sensitivity of TB-PET/CT scanners is discussed.
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Affiliation(s)
- Narendra Rathod
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland.
| | - Warissara Jutidamrongphan
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Wolfram Andreas Bosbach
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Yizhou Chen
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Jan Luca Penner
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Hasan Sari
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Konstantinos Zeimpekis
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Alejandro López Montes
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Pawel Moskal
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, S. Łojasiewicza 11, 30-348 Krakow, Poland and Centre for Theranostics, Jagiellonian University, Krakow, Poland
| | - Ewa Stepien
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, S. Łojasiewicza 11, 30-348 Krakow, Poland and Centre for Theranostics, Jagiellonian University, Krakow, Poland
| | - Kuangyu Shi
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Axel Rominger
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Robert Seifert
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
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Hicks RJ, Ware RE, Callahan J. Total-Body PET/CT: Pros and Cons. Semin Nucl Med 2025; 55:11-20. [PMID: 39289090 DOI: 10.1053/j.semnuclmed.2024.07.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Accepted: 07/23/2024] [Indexed: 09/19/2024]
Abstract
PET/CT devices with an axial field-of-view (FOV) of 1 m allow simultaneous imaging from the head to the upper thighs, the typical axial extent of many "whole-body" oncological studies acquired by moving a patient sequentially through a conventional FOV device, or rapid total-body imaging using the same approach. Increasing the FOV to around 2 m provides true simultaneous total-body imaging. Either approach dramatically increases the sensitivity for detection of annihilation events arising within the body. For the purposes of this review, both configurations are considered to represent "total-body" PET/CT devices because they share both advantages and disadvantages. These pros and cons are discussed in the context of both clinical and research applications from a patient and institutional perspective.
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Affiliation(s)
- Rodney J Hicks
- The Melbourne Theranostic Innovation Centre, North Melbourne, Victoria 3051, Australia; St Vincent's Hospital, Department of Medicine, The University of Melbourne, Fitzroy, Victoria 3065, Australia.
| | - Robert E Ware
- The Melbourne Theranostic Innovation Centre, North Melbourne, Victoria 3051, Australia
| | - Jason Callahan
- The Melbourne Theranostic Innovation Centre, North Melbourne, Victoria 3051, Australia
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15
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Zhang H, Ren C, Liu Y, Yan X, Liu M, Hao Z, Xing H, Huo L. Performance Characteristics of a New Generation 148-cm Axial Field-of-View uMI Panorama GS PET/CT System with Extended NEMA NU 2-2018 and EARL Standards. J Nucl Med 2024; 65:1974-1982. [PMID: 39510588 PMCID: PMC11619581 DOI: 10.2967/jnumed.124.267963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 10/02/2024] [Indexed: 11/15/2024] Open
Abstract
The uMI Panorama GS PET/CT system is a new long-axial-field-of-view scanner featuring high sensitivity, time-of-flight (TOF) resolution, spatial resolution, and count rate performance. The aim of this study is to assess the PET system on the basis of the National Electrical Manufacturers Association (NEMA) NU 2-2018 and European Association of Nuclear Medicine Research Limited (EARL) standards. Methods: Spatial resolution, count rate performance, sensitivity, accuracy, image quality, TOF resolution, and coregistration accuracy were evaluated following the NEMA NU 2-2018 standard. Additional experiments included energy resolution, 200-cm-long line sources for sensitivity, a 175-cm-long scatter phantom for count rate and TOF resolution, as well as the compliance with the EARL guideline. Moreover, an 18F-FDG PET patient study was reconstructed with various frame durations. Results: The PET system achieved sub-3-mm transaxial and axial spatial resolutions at a 1-cm radial offset. The sensitivities with the 70-cm-long and 200-cm-long line sources were observed to be 176.3 and 90.8 kcps/MBq, respectively, at the center of the field of view. The noise-equivalent count rates (NECRs) of the 70-cm-long and 175-cm-long scatter phantoms were measured to be 3.35 Mcps at 57.57 kBq/mL and 2.24 Mcps at 33.27 kBq/mL, respectively. The TOF resolutions for both phantoms were approximately 189 ps at 5.3 kBq/mL and lower than 200 ps below the NECR peaks. The absolute count rate errors of all 34 acquisitions were less than 3% below the NECR peak for the 70-cm-long scatter phantom. With the standard NEMA image quality phantom experiment, the contrast recovery coefficient varied from 68.17% to 94.20% and the background variabilities were all below 2%. The maximum PET/CT coregistration error was 1.33 mm. Regarding EARL compliance, the gaussian filter of 5-mm full width at half maximum could produce acceptable images. The patient data demonstrate visually satisfactory image quality with short frames (less than 1 min). Conclusion: The uMI Panorama GS exhibits spatial resolution and TOF resolution similar to those of the uMI Panorama system (35-cm axial field of view), despite the extended axial field of view. The 148-cm axial coverage, sub-200-ps TOF resolution, high sensitivity, and count rate performances are expected to yield superior image quality and offer new opportunities for various clinical applications.
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Affiliation(s)
- Haiqiong Zhang
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Chao Ren
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Yu Liu
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Xinchun Yan
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Meixi Liu
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhixin Hao
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Haiqun Xing
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Li Huo
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
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Yang Q, Li W, Huang Z, Chen Z, Zhao W, Gao Y, Yang X, Yang Y, Zheng H, Liang D, Liu J, Chen R, Hu Z. Bidirectional dynamic frame prediction network for total-body [ 68Ga]Ga-PSMA-11 and [ 68Ga]Ga-FAPI-04 PET images. EJNMMI Phys 2024; 11:92. [PMID: 39489859 PMCID: PMC11532329 DOI: 10.1186/s40658-024-00698-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 10/25/2024] [Indexed: 11/05/2024] Open
Abstract
PURPOSE Total-body dynamic positron emission tomography (PET) imaging with total-body coverage and ultrahigh sensitivity has played an important role in accurate tracer kinetic analyses in physiology, biochemistry, and pharmacology. However, dynamic PET scans typically entail prolonged durations ([Formula: see text]60 minutes), potentially causing patient discomfort and resulting in artifacts in the final images. Therefore, we propose a dynamic frame prediction method for total-body PET imaging via deep learning technology to reduce the required scanning time. METHODS On the basis of total-body dynamic PET data acquired from 13 subjects who received [68Ga]Ga-FAPI-04 (68Ga-FAPI) and 24 subjects who received [68Ga]Ga-PSMA-11 (68Ga-PSMA), we propose a bidirectional dynamic frame prediction network that uses the initial and final 10 min of PET imaging data (frames 1-6 and frames 25-30, respectively) as inputs. The peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) were employed as evaluation metrics for an image quality assessment. Moreover, we calculated parametric images (68Ga-FAPI: [Formula: see text], 68Ga-PSMA: [Formula: see text]) based on the supplemented sequence data to observe the quantitative accuracy of our approach. Regions of interest (ROIs) and statistical analyses were utilized to evaluate the performance of the model. RESULTS Both the visual and quantitative results illustrate the effectiveness of our approach. The generated dynamic PET images yielded PSNRs of 36.056 ± 0.709 dB for the 68Ga-PSMA group and 33.779 ± 0.760 dB for the 68Ga-FAPI group. Additionally, the SSIM reached 0.935 ± 0.006 for the 68Ga-FAPI group and 0.922 ± 0.009 for the 68Ga-PSMA group. By conducting a quantitative analysis on the parametric images, we obtained PSNRs of 36.155 ± 4.813 dB (68Ga-PSMA, [Formula: see text]) and 43.150 ± 4.102 dB (68Ga-FAPI, [Formula: see text]). The obtained SSIM values were 0.932 ± 0.041 (68Ga-PSMA) and 0.980 ± 0.011 (68Ga-FAPI). The ROI analysis conducted on our generated dynamic PET sequences also revealed that our method can accurately predict temporal voxel intensity changes, maintaining overall visual consistency with the ground truth. CONCLUSION In this work, we propose a bidirectional dynamic frame prediction network for total-body 68Ga-PSMA and 68Ga-FAPI PET imaging with a reduced scan duration. Visual and quantitative analyses demonstrated that our approach performed well when it was used to predict one-hour dynamic PET images. https://github.com/OPMZZZ/BDF-NET .
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Affiliation(s)
- Qianyi Yang
- College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China
| | - Wenbo Li
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China
| | - Zhenxing Huang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China
| | - Zixiang Chen
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China
| | - Wenjie Zhao
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China
| | - Yunlong Gao
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China
| | - Xinlan Yang
- Central Research Institute, United Imaging Healthcare Group, Shanghai, 201807, China
| | - Yongfeng Yang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China
- Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518000, China
| | - Hairong Zheng
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China
- Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518000, China
| | - Dong Liang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China
- Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518000, China
| | - Jianjun Liu
- Department of Nuclear Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 201807, China
| | - Ruohua Chen
- Department of Nuclear Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 201807, China.
| | - Zhanli Hu
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China.
- Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518000, China.
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Liu G, Gu T, Chen S, Gu Y, Yu H, Shi H. Total-body dynamic PET/CT imaging reveals kinetic distribution of [ 13N]NH 3 in normal organs. Eur J Nucl Med Mol Imaging 2024; 51:3888-3899. [PMID: 38976037 DOI: 10.1007/s00259-024-06826-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 06/30/2024] [Indexed: 07/09/2024]
Abstract
PURPOSE To systematically investigate kinetic metrics and metabolic trapping of [13N]NH3 in organs. METHODS Eleven participants performed total-body [13N]NH3 dynamic positron emission tomography (PET). Regions of interest were drawn in organs to obtain time-to-activity curves (TACs), which were fitted with an irreversible two-tissue compartment model (2TC) to investigate constant rates K1, k2 and k3, and to calculate Ki. Additionally, one-tissue compartment model using full data (1TCfull) and the first four minutes of data (1TC4min) were fitted to TAC data. K1 and k2 were compared among different models to assess [13N]NH3 trapping in organs. RESULTS Kinetic rates of [13N]NH3 varied significantly among organs. The mean K1 ranged from 0.049 mL/cm3/min in the muscle to 2.936 mL/cm3/min in the kidney. The k2 and k3 were lowest in the liver (0.001 min- 1) and in the pituitary (0.009 min- 1), while highest in the kidney (0.587 min- 1) and in the liver (0.800 min- 1), respectively. The Ki was largest in the myocardium (0.601 ± 0.259 mL/cm3/min) while smallest in the bone marrow (0.028 ± 0.022 mL/cm3/min). Three groups of organs with similar kinetic characteristics were revealed: (1) the thyroid, the lung, the spleen, the pancreas, and the kidney; (2) the liver and the muscle; and (3) the cortex, the white matter, the cerebellum, the pituitary, the parotid, the submandibular gland, the myocardium, the bone, and the bone marrow. Obvious k3 was identified in multiple organs, and significant changes of K1 in multiple organs and k2 in most organs were found between 2TC and 1TCfull, but both K1 and k2 were comparable between 2TC and 1TC4min. CONCLUSION The kinetic rates of [13N]NH3 differed among organs with some have obvious 13N-anmmonia trapping. The normal distribution of kinetic metrics of 13N-anmmonia in organs can serve as a reference for its potential use in tumor imaging.
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Affiliation(s)
- Guobing Liu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, P.R. China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Taoying Gu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, P.R. China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shuguang Chen
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, P.R. China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yushen Gu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, P.R. China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Haojun Yu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, P.R. China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hongcheng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, P.R. China.
- Institute of Nuclear Medicine, Fudan University, Shanghai, China.
- Shanghai Institute of Medical Imaging, Shanghai, China.
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China.
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Xiao Y, Li Y, Zhao H. Spatiotemporal metabolomic approaches to the cancer-immunity panorama: a methodological perspective. Mol Cancer 2024; 23:202. [PMID: 39294747 PMCID: PMC11409752 DOI: 10.1186/s12943-024-02113-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Accepted: 09/05/2024] [Indexed: 09/21/2024] Open
Abstract
Metabolic reprogramming drives the development of an immunosuppressive tumor microenvironment (TME) through various pathways, contributing to cancer progression and reducing the effectiveness of anticancer immunotherapy. However, our understanding of the metabolic landscape within the tumor-immune context has been limited by conventional metabolic measurements, which have not provided comprehensive insights into the spatiotemporal heterogeneity of metabolism within TME. The emergence of single-cell, spatial, and in vivo metabolomic technologies has now enabled detailed and unbiased analysis, revealing unprecedented spatiotemporal heterogeneity that is particularly valuable in the field of cancer immunology. This review summarizes the methodologies of metabolomics and metabolic regulomics that can be applied to the study of cancer-immunity across single-cell, spatial, and in vivo dimensions, and systematically assesses their benefits and limitations.
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Affiliation(s)
- Yang Xiao
- Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400044, China
| | - Yongsheng Li
- Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400044, China.
- Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China.
| | - Huakan Zhao
- Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400044, China.
- Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China.
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Scott PJH. Can we use PET to quantify mu opioid receptors across the monkey brain, spinal cord and peripheral organs at the same time? Totally! Eur J Nucl Med Mol Imaging 2024; 51:3267-3272. [PMID: 38822890 DOI: 10.1007/s00259-024-06778-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2024]
Affiliation(s)
- Peter J H Scott
- Department of Radiology, University of Michigan, Ann Arbor, MI, 48109, USA.
- Department of Pharmacology, University of Michigan, Ann Arbor, MI, 48109, USA.
- Department of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA.
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Maier A, Teunissen AJP, Nauta SA, Lutgens E, Fayad ZA, van Leent MMT. Uncovering atherosclerotic cardiovascular disease by PET imaging. Nat Rev Cardiol 2024; 21:632-651. [PMID: 38575752 PMCID: PMC11324396 DOI: 10.1038/s41569-024-01009-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/04/2024] [Indexed: 04/06/2024]
Abstract
Assessing atherosclerosis severity is essential for precise patient stratification. Specifically, there is a need to identify patients with residual inflammation because these patients remain at high risk of cardiovascular events despite optimal management of cardiovascular risk factors. Molecular imaging techniques, such as PET, can have an essential role in this context. PET imaging can indicate tissue-based disease status, detect early molecular changes and provide whole-body information. Advances in molecular biology and bioinformatics continue to help to decipher the complex pathogenesis of atherosclerosis and inform the development of imaging tracers. Concomitant advances in tracer synthesis methods and PET imaging technology provide future possibilities for atherosclerosis imaging. In this Review, we summarize the latest developments in PET imaging techniques and technologies for assessment of atherosclerotic cardiovascular disease and discuss the relationship between imaging readouts and transcriptomics-based plaque phenotyping.
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Affiliation(s)
- Alexander Maier
- Department of Cardiology and Angiology, University Heart Center Freiburg-Bad Krozingen, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Abraham J P Teunissen
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sheqouia A Nauta
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Esther Lutgens
- Cardiovascular Medicine and Immunology, Experimental Cardiovascular Immunology Laboratory, Mayo Clinic, Rochester, MN, USA
| | - Zahi A Fayad
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mandy M T van Leent
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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21
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Zhao Q, Telu S, Jana S, Morse CL, Pike VW. Isotopologues of potassium 2,2,2-trifluoroethoxide for applications in positron emission tomography and beyond. Nat Commun 2024; 15:5798. [PMID: 38987549 PMCID: PMC11237122 DOI: 10.1038/s41467-024-49975-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 06/26/2024] [Indexed: 07/12/2024] Open
Abstract
The 2,2,2-trifluoroethoxy group increasingly features in drugs and potential tracers for biomedical imaging with positron emission tomography (PET). Herein, we describe a rapid and transition metal-free conversion of fluoroform with paraformaldehyde into highly reactive potassium 2,2,2-trifluoroethoxide (CF3CH2OK) and demonstrate robust applications of this synthon in one-pot, two-stage 2,2,2-trifluoroethoxylations of both aromatic and aliphatic precursors. Moreover, we show that these transformations translate easily to fluoroform that has been labeled with either carbon-11 (t1/2 = 20.4 min) or fluorine-18 (t1/2 = 109.8 min), so allowing the appendage of complex molecules with a no-carrier-added 11C- or 18F- 2,2,2-trifluoroethoxy group. This provides scope to create candidate PET tracers with radioactive and metabolically stable 2,2,2-trifluoroethoxy moieties. We also exemplify syntheses of isotopologues of potassium 2,2,2-trifluoroethoxide and show their utility for stable isotopic labeling which can be of further benefit for drug discovery and development.
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Affiliation(s)
- Qunchao Zhao
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1003, USA
| | - Sanjay Telu
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1003, USA.
| | - Susovan Jana
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1003, USA
| | - Cheryl L Morse
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1003, USA
| | - Victor W Pike
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1003, USA.
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22
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Onishi Y, Hashimoto F, Ote K, Ota R. Whole Reconstruction-Free System Design for Direct Positron Emission Imaging From Image Generation to Attenuation Correction. IEEE TRANSACTIONS ON MEDICAL IMAGING 2024; 43:1654-1663. [PMID: 38109238 DOI: 10.1109/tmi.2023.3344095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Direct positron emission imaging (dPEI), which does not require a mathematical reconstruction step, is a next-generation molecular imaging modality. To maximize the practical applicability of the dPEI system to clinical practice, we introduce a novel reconstruction-free image-formation method called direct μCompton imaging, which directly localizes the interaction position of Compton scattering from the annihilation photons in a three-dimensional space by utilizing the same compact geometry as that for dPEI, involving ultrafast time-of-flight radiation detectors. This unique imaging method not only provides the anatomical information about an object but can also be applied to attenuation correction of dPEI images. Evaluations through Monte Carlo simulation showed that functional and anatomical hybrid images can be acquired using this multimodal imaging system. By fusing the images, it is possible to simultaneously access various object data, which ensures the synergistic effect of the two imaging methodologies. In addition, attenuation correction improves the quantification of dPEI images. The realization of the whole reconstruction-free imaging system from image generation to quantitative correction provides a new perspective in molecular imaging.
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23
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Huang W, Zhang Y, Cao M, Wu Y, Jiao F, Chu Z, Zhou X, Li L, Xu D, Pan X, Guan Y, Huang G, Liu J, Xie F, Wei W. ImmunoPET imaging of Trop2 in patients with solid tumours. EMBO Mol Med 2024; 16:1143-1161. [PMID: 38565806 PMCID: PMC11099157 DOI: 10.1038/s44321-024-00059-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 03/08/2024] [Accepted: 03/12/2024] [Indexed: 04/04/2024] Open
Abstract
Accurately predicting and selecting patients who can benefit from targeted or immunotherapy is crucial for precision therapy. Trophoblast cell surface antigen 2 (Trop2) has been extensively investigated as a pan-cancer biomarker expressed in various tumours and plays a crucial role in tumorigenesis through multiple signalling pathways. Our laboratory successfully developed two 68Ga-labelled nanobody tracers that can rapidly and specifically target Trop2. Of the two tracers, [68Ga]Ga-NOTA-T4, demonstrated excellent pharmacokinetics in preclinical mouse models and a beagle dog. Moreover, [68Ga]Ga-NOTA-T4 immuno-positron emission tomography (immunoPET) allowed noninvasive visualisation of Trop2 heterogeneous and differential expression in preclinical solid tumour models and ten patients with solid tumours. [68Ga]Ga-NOTA-T4 immunoPET could facilitate clinical decision-making through patient stratification and response monitoring during Trop2-targeted therapies.
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Affiliation(s)
- Wei Huang
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Rd, Shanghai, 200127, China
| | - You Zhang
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Rd, Shanghai, 200127, China
| | - Min Cao
- Department of Thoracic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200217, China
| | - Yanfei Wu
- Department of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Feng Jiao
- Department of Oncology, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Zhaohui Chu
- Department of Oncology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Xinyuan Zhou
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Rd, Shanghai, 200127, China
| | - Lianghua Li
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Rd, Shanghai, 200127, China
| | - Dongsheng Xu
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Rd, Shanghai, 200127, China
| | - Xinbing Pan
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Rd, Shanghai, 200127, China
| | - Yihui Guan
- Department of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Gang Huang
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Rd, Shanghai, 200127, China
| | - Jianjun Liu
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Rd, Shanghai, 200127, China.
| | - Fang Xie
- Department of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, Shanghai, 200040, China.
| | - Weijun Wei
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Rd, Shanghai, 200127, China.
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24
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Wang Y, Abdelhafez YG, Spencer BA, Verma R, Parikh M, Stollenwerk N, Nardo L, Jones T, Badawi RD, Cherry SR, Wang G. High-Temporal-Resolution Kinetic Modeling of Lung Tumors with Dual-Blood Input Function Using Total-Body Dynamic PET. J Nucl Med 2024; 65:714-721. [PMID: 38548347 PMCID: PMC11064825 DOI: 10.2967/jnumed.123.267036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/21/2024] [Indexed: 05/03/2024] Open
Abstract
The lungs are supplied by both the pulmonary arteries carrying deoxygenated blood originating from the right ventricle and the bronchial arteries carrying oxygenated blood downstream from the left ventricle. However, this effect of dual blood supply has never been investigated using PET, partially because the temporal resolution of conventional dynamic PET scans is limited. The advent of PET scanners with a long axial field of view, such as the uEXPLORER total-body PET/CT system, permits dynamic imaging with high temporal resolution (HTR). In this work, we modeled the dual-blood input function (DBIF) and studied its impact on the kinetic quantification of normal lung tissue and lung tumors using HTR dynamic PET imaging. Methods: Thirteen healthy subjects and 6 cancer subjects with lung tumors underwent a dynamic 18F-FDG scan with the uEXPLORER for 1 h. Data were reconstructed into dynamic frames of 1 s in the early phase. Regional time-activity curves of lung tissue and tumors were analyzed using a 2-tissue compartmental model with 3 different input functions: the right ventricle input function, left ventricle input function, and proposed DBIF, all with time delay and dispersion corrections. These models were compared for time-activity curve fitting quality using the corrected Akaike information criterion and for differentiating lung tumors from lung tissue using the Mann-Whitney U test. Voxelwise multiparametric images by the DBIF model were further generated to verify the regional kinetic analysis. Results: The effect of dual blood supply was pronounced in the high-temporal-resolution time-activity curves of lung tumors. The DBIF model achieved better time-activity curve fitting than the other 2 single-input models according to the corrected Akaike information criterion. The estimated fraction of left ventricle input was low in normal lung tissue of healthy subjects but much higher in lung tumors (∼0.04 vs. ∼0.3, P < 0.0003). The DBIF model also showed better robustness in the difference in 18F-FDG net influx rate [Formula: see text] and delivery rate [Formula: see text] between lung tumors and normal lung tissue. Multiparametric imaging with the DBIF model further confirmed the differences in tracer kinetics between normal lung tissue and lung tumors. Conclusion: The effect of dual blood supply in the lungs was demonstrated using HTR dynamic imaging and compartmental modeling with the proposed DBIF model. The effect was small in lung tissue but nonnegligible in lung tumors. HTR dynamic imaging with total-body PET can offer a sensitive tool for investigating lung diseases.
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Affiliation(s)
- Yiran Wang
- Department of Radiology, University of California Davis Medical Center, Sacramento, California
- Department of Biomedical Engineering, University of California, Davis, Davis, California
| | - Yasser G Abdelhafez
- Department of Radiology, University of California Davis Medical Center, Sacramento, California
- Nuclear Medicine Unit, South Egypt Cancer Institute, Assiut University, Assiut, Egypt; and
| | - Benjamin A Spencer
- Department of Radiology, University of California Davis Medical Center, Sacramento, California
| | - Rashmi Verma
- Comprehensive Cancer Center, University of California Davis Medical Center, Sacramento, California
| | - Mamta Parikh
- Comprehensive Cancer Center, University of California Davis Medical Center, Sacramento, California
| | - Nicholas Stollenwerk
- Comprehensive Cancer Center, University of California Davis Medical Center, Sacramento, California
| | - Lorenzo Nardo
- Department of Radiology, University of California Davis Medical Center, Sacramento, California
| | - Terry Jones
- Department of Radiology, University of California Davis Medical Center, Sacramento, California
| | - Ramsey D Badawi
- Department of Radiology, University of California Davis Medical Center, Sacramento, California
- Department of Biomedical Engineering, University of California, Davis, Davis, California
| | - Simon R Cherry
- Department of Radiology, University of California Davis Medical Center, Sacramento, California
- Department of Biomedical Engineering, University of California, Davis, Davis, California
| | - Guobao Wang
- Department of Radiology, University of California Davis Medical Center, Sacramento, California;
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25
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Holy EN, Li E, Bhattarai A, Fletcher E, Alfaro ER, Harvey DJ, Spencer BA, Cherry SR, DeCarli CS, Fan AP. Non-invasive quantification of 18F-florbetaben with total-body EXPLORER PET. EJNMMI Res 2024; 14:39. [PMID: 38625413 PMCID: PMC11021392 DOI: 10.1186/s13550-024-01104-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/02/2024] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND Kinetic modeling of 18F-florbetaben provides important quantification of brain amyloid deposition in research and clinical settings but its use is limited by the requirement of arterial blood data for quantitative PET. The total-body EXPLORER PET scanner supports the dynamic acquisition of a full human body simultaneously and permits noninvasive image-derived input functions (IDIFs) as an alternative to arterial blood sampling. This study quantified brain amyloid burden with kinetic modeling, leveraging dynamic 18F-florbetaben PET in aorta IDIFs and the brain in an elderly cohort. METHODS 18F-florbetaben dynamic PET imaging was performed on the EXPLORER system with tracer injection (300 MBq) in 3 individuals with Alzheimer's disease (AD), 3 with mild cognitive impairment, and 9 healthy controls. Image-derived input functions were extracted from the descending aorta with manual regions of interest based on the first 30 s after injection. Dynamic time-activity curves (TACs) for 110 min were fitted to the two-tissue compartment model (2TCM) using population-based metabolite corrected IDIFs to calculate total and specific distribution volumes (VT, Vs) in key brain regions with early amyloid accumulation. Non-displaceable binding potential ([Formula: see text] was also calculated from the multi-reference tissue model (MRTM). RESULTS Amyloid-positive (AD) patients showed the highest VT and VS in anterior cingulate, posterior cingulate, and precuneus, consistent with [Formula: see text] analysis. [Formula: see text]and VT from kinetic models were correlated (r² = 0.46, P < 2[Formula: see text] with a stronger positive correlation observed in amyloid-positive participants, indicating reliable model fits with the IDIFs. VT from 2TCM was highly correlated ([Formula: see text]= 0.65, P < 2[Formula: see text]) with Logan graphical VT estimation. CONCLUSION Non-invasive quantification of amyloid binding from total-body 18F-florbetaben PET data is feasible using aorta IDIFs with high agreement between kinetic distribution volume parameters compared to [Formula: see text]in amyloid-positive and amyloid-negative older individuals.
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Affiliation(s)
- Emily Nicole Holy
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA.
- Department of Biomedical Engineering, UC Davis, Davis, USA.
| | - Elizabeth Li
- Department of Biomedical Engineering, UC Davis, Davis, USA
| | - Anjan Bhattarai
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA
- Department of Biomedical Engineering, UC Davis, Davis, USA
| | - Evan Fletcher
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA
| | - Evelyn R Alfaro
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA
| | | | - Benjamin A Spencer
- Department of Biomedical Engineering, UC Davis, Davis, USA
- Department of Radiology, UC Davis Health, Davis, USA
| | - Simon R Cherry
- Department of Biomedical Engineering, UC Davis, Davis, USA
- Department of Radiology, UC Davis Health, Davis, USA
| | - Charles S DeCarli
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA
| | - Audrey P Fan
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA
- Department of Biomedical Engineering, UC Davis, Davis, USA
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26
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Sun Y, Cheng Z, Qiu J, Lu W. Performance and application of the total-body PET/CT scanner: a literature review. EJNMMI Res 2024; 14:38. [PMID: 38607510 PMCID: PMC11014840 DOI: 10.1186/s13550-023-01059-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 12/14/2023] [Indexed: 04/13/2024] Open
Abstract
BACKGROUND The total-body positron emission tomography/computed tomography (PET/CT) system, with a long axial field of view, represents the state-of-the-art PET imaging technique. Recently, the total-body PET/CT system has been commercially available. The total-body PET/CT system enables high-resolution whole-body imaging, even under extreme conditions such as ultra-low dose, extremely fast imaging speed, delayed imaging more than 10 h after tracer injection, and total-body dynamic scan. The total-body PET/CT system provides a real-time picture of the tracers of all organs across the body, which not only helps to explain normal human physiological process, but also facilitates the comprehensive assessment of systemic diseases. In addition, the total-body PET/CT system may play critical roles in other medical fields, including cancer imaging, drug development and immunology. MAIN BODY Therefore, it is of significance to summarize the existing studies of the total-body PET/CT systems and point out its future direction. This review collected research literatures from the PubMed database since the advent of commercially available total-body PET/CT systems to the present, and was divided into the following sections: Firstly, a brief introduction to the total-body PET/CT system was presented, followed by a summary of the literature on the performance evaluation of the total-body PET/CT. Then, the research and clinical applications of the total-body PET/CT were discussed. Fourthly, deep learning studies based on total-body PET imaging was reviewed. At last, the shortcomings of existing research and future directions for the total-body PET/CT were discussed. CONCLUSION Due to its technical advantages, the total-body PET/CT system is bound to play a greater role in clinical practice in the future.
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Affiliation(s)
- Yuanyuan Sun
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271016, China
| | - Zhaoping Cheng
- Department of PET-CT, The First Affiliated Hospital of Shandong First Medical University, Shandong Provincial Qianfoshan Hospital Affiliated to Shandong University, Jinan, 250014, China
| | - Jianfeng Qiu
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271016, China
| | - Weizhao Lu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No. 366 Taishan Street, Taian, 271000, China.
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27
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Shiyam Sundar LK, Gutschmayer S, Maenle M, Beyer T. Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence. Cancer Imaging 2024; 24:51. [PMID: 38605408 PMCID: PMC11010281 DOI: 10.1186/s40644-024-00684-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 03/03/2024] [Indexed: 04/13/2024] Open
Abstract
The evolution of Positron Emission Tomography (PET), culminating in the Total-Body PET (TB-PET) system, represents a paradigm shift in medical imaging. This paper explores the transformative role of Artificial Intelligence (AI) in enhancing clinical and research applications of TB-PET imaging. Clinically, TB-PET's superior sensitivity facilitates rapid imaging, low-dose imaging protocols, improved diagnostic capabilities and higher patient comfort. In research, TB-PET shows promise in studying systemic interactions and enhancing our understanding of human physiology and pathophysiology. In parallel, AI's integration into PET imaging workflows-spanning from image acquisition to data analysis-marks a significant development in nuclear medicine. This review delves into the current and potential roles of AI in augmenting TB-PET/CT's functionality and utility. We explore how AI can streamline current PET imaging processes and pioneer new applications, thereby maximising the technology's capabilities. The discussion also addresses necessary steps and considerations for effectively integrating AI into TB-PET/CT research and clinical practice. The paper highlights AI's role in enhancing TB-PET's efficiency and addresses the challenges posed by TB-PET's increased complexity. In conclusion, this exploration emphasises the need for a collaborative approach in the field of medical imaging. We advocate for shared resources and open-source initiatives as crucial steps towards harnessing the full potential of the AI/TB-PET synergy. This collaborative effort is essential for revolutionising medical imaging, ultimately leading to significant advancements in patient care and medical research.
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Affiliation(s)
| | - Sebastian Gutschmayer
- Quantitative Imaging and Medical Physics (QIMP) Team, Medical University of Vienna, Vienna, Austria
| | - Marcel Maenle
- Quantitative Imaging and Medical Physics (QIMP) Team, Medical University of Vienna, Vienna, Austria
| | - Thomas Beyer
- Quantitative Imaging and Medical Physics (QIMP) Team, Medical University of Vienna, Vienna, Austria
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28
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Bao Z, Yu D, Fu J, Gu J, Xu J, Qin L, Hu H, Yang C, Liu W, Chen L, Wu R, Liu H, Xu H, Guo H, Wang L, Zhou Y, Li Q, Wang X. 2-Hydroxy-5-nitro-3-(trifluoromethyl)pyridine as a Novel Matrix for Enhanced MALDI Imaging of Tissue Metabolites. Anal Chem 2024; 96:5160-5169. [PMID: 38470972 DOI: 10.1021/acs.analchem.3c05235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), which is a label-free imaging technique, determines the spatial distribution and relative abundance of versatile endogenous metabolites in tissues. Meanwhile, matrix selection is generally regarded as a pivotal step in MALDI tissue imaging. This study presents the first report of a novel MALDI matrix, 2-hydroxy-5-nitro-3-(trifluoromethyl)pyridine (HNTP), for the in situ detection and imaging of endogenous metabolites in rat liver and brain tissues by MALDI-MS in positive-ion mode. The HNTP matrix exhibits excellent characteristics, including strong ultraviolet absorption, μm-scale matrix crystals, high chemical stability, low background ion interference, and high metabolite ionization efficiency. Notably, the HNTP matrix also shows superior detection capabilities, successfully showing 185 detectable metabolites in rat liver tissue sections. This outperforms the commonly used matrices of 2,5-dihydroxybenzoic acid and 2-mercaptobenzothiazole, which detect 145 and 120 metabolites from the rat liver, respectively. Furthermore, a total of 152 metabolites are effectively detected and imaged in rat brain tissue using the HNTP matrix, and the spatial distribution of these compounds clearly shows the heterogeneity of the rat brain. The results demonstrate that HNTP is a new and powerful positive-ion mode matrix to enhance the analysis of metabolites in biological tissues by MALDI-MSI.
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Affiliation(s)
- Zhibin Bao
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Dian Yu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Jinxiang Fu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Jianchi Gu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Jia Xu
- Department of Clinical Laboratory, Xiyuan Hospital, China Academy of Chinese Medical Sciences, #1 Xiyuangcaochang, Beijing 100091, China
| | - Liang Qin
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Hao Hu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Chenyu Yang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Wenjuan Liu
- Department of Clinical Laboratory, Xiyuan Hospital, China Academy of Chinese Medical Sciences, #1 Xiyuangcaochang, Beijing 100091, China
| | - Lulu Chen
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Ran Wu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Haiqiang Liu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Hualei Xu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Hua Guo
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Lei Wang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Yijun Zhou
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
| | - Qi Li
- Department of Clinical Laboratory, Xiyuan Hospital, China Academy of Chinese Medical Sciences, #1 Xiyuangcaochang, Beijing 100091, China
| | - Xiaodong Wang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, #27 Zhongguancun South Avenue, Beijing 100081, China
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El Ouaridi A, Ait Elcadi Z, Mkimel M, Bougteb M, El Baydaoui R. The detection instrumentation and geometric design of clinical PET scanner: towards better performance and broader clinical applications. Biomed Phys Eng Express 2024; 10:032002. [PMID: 38412520 DOI: 10.1088/2057-1976/ad2d61] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 02/27/2024] [Indexed: 02/29/2024]
Abstract
Positron emission tomography (PET) is a powerful medical imaging modality used in nuclear medicine to diagnose and monitor various clinical diseases in patients. It is more sensitive and produces a highly quantitative mapping of the three-dimensional biodistribution of positron-emitting radiotracers inside the human body. The underlying technology is constantly evolving, and recent advances in detection instrumentation and PET scanner design have significantly improved the medical diagnosis capabilities of this imaging modality, making it more efficient and opening the way to broader, innovative, and promising clinical applications. Some significant achievements related to detection instrumentation include introducing new scintillators and photodetectors as well as developing innovative detector designs and coupling configurations. Other advances in scanner design include moving towards a cylindrical geometry, 3D acquisition mode, and the trend towards a wider axial field of view and a shorter diameter. Further research on PET camera instrumentation and design will be required to advance this technology by improving its performance and extending its clinical applications while optimising radiation dose, image acquisition time, and manufacturing cost. This article comprehensively reviews the various parameters of detection instrumentation and PET system design. Firstly, an overview of the historical innovation of the PET system has been presented, focusing on instrumental technology. Secondly, we have characterised the main performance parameters of current clinical PET and detailed recent instrumental innovations and trends that affect these performances and clinical practice. Finally, prospects for this medical imaging modality are presented and discussed. This overview of the PET system's instrumental parameters enables us to draw solid conclusions on achieving the best possible performance for the different needs of different clinical applications.
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Affiliation(s)
- Abdallah El Ouaridi
- Hassan First University of Settat, High Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco
| | - Zakaria Ait Elcadi
- Hassan First University of Settat, High Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco
- Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, 23874, Qatar
| | - Mounir Mkimel
- Hassan First University of Settat, High Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco
| | - Mustapha Bougteb
- Hassan First University of Settat, High Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco
| | - Redouane El Baydaoui
- Hassan First University of Settat, High Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco
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Qi C, Sui X, Yu H, Wang S, Hu Y, Sun H, Yang X, Wang Y, Zhou Y, Shi H. Phantom study and clinical application of total-body 18F-FDG PET/CT imaging: How to use small voxel imaging better? EJNMMI Phys 2024; 11:17. [PMID: 38358541 PMCID: PMC10869323 DOI: 10.1186/s40658-023-00597-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 11/28/2023] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Conventional PET/CT imaging reconstruction is typically performed using voxel size of 3.0-4.0 mm in three axes. It is hypothesized that a smaller voxel sizes could improve the accuracy of small lesion detection. This study aims to explore the advantages and conditions of small voxel imaging on clinical application. METHODS Both NEMA IQ phantom and 30 patients with an injected dose of 3.7 MBq/kg were scanned using a total-body PET/CT (uEXPLORER). Images were reconstructed using matrices of 192 × 192, 512 × 512, and 1024 × 1024 with scanning duration of 3 min, 5 min, 8 min, and 10 min, respectively. RESULTS In the phantom study, the contrast recovery coefficient reached the maximum in matrix group of 512 × 512, and background variability increased as voxel size decreased. In the clinical study, SUVmax, SD, and TLR increased, while SNR decreased as the voxel size decreased. When the scanning duration increased, SNR increased, while SUVmax, SD, and TLR decreased. The SUVmean was more reluctant to the changes in imaging matrix and scanning duration. The mean subjective scores for all 512 × 512 groups and 1024 × 1024 groups (scanning duration ≥ 8 min) were over three points. One false-positive lesion was found in groups of 512 × 512 with scanning duration of 3 min, 1024 × 1024 with 3 min and 5 min, respectively. Meanwhile, the false-negative lesions found in group of 192 × 192 with duration of 3 min and 5 min, 512 × 512 with 3 min and 1024 × 1024 with 3 min and 5 min were 5, 4, 1, 4, and 1, respectively. The reconstruction time and storage space occupation were significantly increased as the imaging matrix increased. CONCLUSIONS PET/CT imaging with smaller voxel can improve SUVmax and TLR of lesions, which is advantageous for the diagnosis of small or hypometabolic lesions if with sufficient counts. With an 18F-FDG injection dose of 3.7 MBq/kg, uEXPLORER PET/CT imaging using matrix of 512 × 512 with 5 min or 1024 × 1024 with 8 min can meet the image requirements for clinical use.
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Affiliation(s)
- Chi Qi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
- Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, People's Republic of China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, People's Republic of China
| | - Xiuli Sui
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
- Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, People's Republic of China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Haojun Yu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
- Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, People's Republic of China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Siyang Wang
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
- Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, People's Republic of China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Yan Hu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
- Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, People's Republic of China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Hongyan Sun
- Central Research Institute, United Imaging Healthcare Group Co, Ltd, Shanghai, People's Republic of China
| | - Xinlan Yang
- Central Research Institute, United Imaging Healthcare Group Co, Ltd, Shanghai, People's Republic of China
| | - Yihan Wang
- Central Research Institute, United Imaging Healthcare Group Co, Ltd, Shanghai, People's Republic of China
| | - Yun Zhou
- Central Research Institute, United Imaging Healthcare Group Co, Ltd, Shanghai, People's Republic of China
| | - Hongcheng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China.
- Institute of Nuclear Medicine, Fudan University, Shanghai, 200032, People's Republic of China.
- Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China.
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
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Lv J, Yu H, Yin H, Shi Y, Shi H. A single-center, multi-factor, retrospective study to improve the diagnostic accuracy of primary prostate cancer using [ 68Ga]Ga-PSMA-11 total-body PET/CT imaging. Eur J Nucl Med Mol Imaging 2024; 51:919-927. [PMID: 37940684 DOI: 10.1007/s00259-023-06464-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 10/01/2023] [Indexed: 11/10/2023]
Abstract
PURPOSE To improve the diagnostic accuracy of initial detection in patients with suspected primary prostate cancer (PCa). METHODS Eighty-four patients who underwent Gallium-68-labeled prostate-specific membrane antigen ([68Ga]Ga-PSMA-11) total-body positron emission tomography/computed tomography (PET/CT) imaging before treatment in our department were enrolled. The maximum standard uptake value (SUVmax) of the prostate (SUVmax-PSMA), liver (SUVmax-PSMA-L), and mediastinal blood pool (SUVmax-PSMA-M) was measured using [68Ga]Ga-PSMA-11 total-body PET/CT imaging. The [68Ga]Ga-PSMA-11 derived metabolic tumor volume (MTV), the total lesion (TLP), and the cross-sectional areas of focal concentration in the prostate (CAP) were also determined. Besides, the prostate-specific antigen (PSA) levels and the above imaging characteristics were analyzed using receiver operating characteristic curves to identify the cutoff value to improve the diagnostic accuracy of suspected PCa. Finally, a multivariate regression analysis was conducted to discover the independent predictor to improve the diagnostic accuracy on [68Ga]Ga-PSMA-11 total-body imaging. RESULTS There was no significant difference between the PCa and Non-PCa groups in age, height, weight, injected dose, except for the PSA levels, the SUVmax-PSMA, TLP, MTV, and CAP. Besides, the SUVmax-PSMA-T/L and SUVmax-PSMA-T/M derived from SUVmax-PSMA were both significantly different. In addition, the areas under the curve of PSA levels, SUVmax-PSMA, SUVmax-PSMA-T/L, SUVmax-PSMA-T/M, TLP, MTV, and CAP to predict PCa on [68Ga]Ga-PSMA-11 imaging were 0.620 (95% confidence interval (CI) 0.485-0.755), 0.864 (95% CI 0.757-0.972), 0.819 (95% CI 0.704-0.935), 0.876 (95% CI 0.771-0.980), 0.845 (95% CI 0.741-0.949), 0.820 (95% CI 0.702-0.938), 0.627 (95% CI 0.499-0.754), respectively. However, a multivariate regression analysis showed that SUVmax-PSMA was an independent predictor, with a cutoff value of 11.5 and an odds ratio of 1.221. CONCLUSION The SUVmax-PSMA with a cutoff value of 11.5 was an independent predictor to improve the diagnostic accuracy of PCa on [68Ga]Ga-PSMA-11 total-body imaging.
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Affiliation(s)
- Jing Lv
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Nuclear Medicine Institute of Fudan University, Shanghai, 200032, China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China
| | - Haojun Yu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Nuclear Medicine Institute of Fudan University, Shanghai, 200032, China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China
| | - Hongyan Yin
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Nuclear Medicine Institute of Fudan University, Shanghai, 200032, China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China
| | - Yimeng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Nuclear Medicine Institute of Fudan University, Shanghai, 200032, China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China
| | - Hongcheng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
- Nuclear Medicine Institute of Fudan University, Shanghai, 200032, China.
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China.
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Lu S, Telu S, Siméon FG, Cai L, Pike VW. Gas Phase Transformations in Carbon-11 Chemistry. Int J Mol Sci 2024; 25:1167. [PMID: 38256240 PMCID: PMC10816134 DOI: 10.3390/ijms25021167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 01/24/2024] Open
Abstract
The short-lived positron-emitter carbon-11 (t1/2 = 20.4 min; β+, 99.8%) is prominent for labeling tracers for use in biomedical research with positron emission tomography (PET). Carbon-11 is produced for this purpose with a cyclotron, nowadays almost exclusively by the 14N(p,α)11C nuclear reaction, either on nitrogen containing a low concentration of oxygen (0.1-0.5%) or hydrogen (~5%) to produce [11C]carbon dioxide or [11C]methane, respectively. These primary radioactive products can be produced in high yields and with high molar activities. However, only [11C]carbon dioxide has some utility for directly labeling PET tracers. Primary products are required to be converted rapidly and efficiently into secondary labeling synthons to provide versatile radiochemistry for labeling diverse tracer chemotypes at molecular positions of choice. This review surveys known gas phase transformations of carbon-11 and summarizes the important roles that many of these transformations now play for producing a broad range of labeling synthons in carbon-11 chemistry.
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Affiliation(s)
| | | | | | | | - Victor W. Pike
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Building 10, Rm B3C346, 10 Center Drive, Bethesda, MD 20892-1003, USA; (S.L.); (S.T.); (F.G.S.); (L.C.)
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Lee JS, Lee MS. Advancements in Positron Emission Tomography Detectors: From Silicon Photomultiplier Technology to Artificial Intelligence Applications. PET Clin 2024; 19:1-24. [PMID: 37802675 DOI: 10.1016/j.cpet.2023.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Abstract
This review article focuses on PET detector technology, which is the most crucial factor in determining PET image quality. The article highlights the desired properties of PET detectors, including high detection efficiency, spatial resolution, energy resolution, and timing resolution. Recent advancements in PET detectors to improve these properties are also discussed, including the use of silicon photomultiplier technology, advancements in depth-of-interaction and time-of-flight PET detectors, and the use of artificial intelligence for detector development. The article provides an overview of PET detector technology and its recent advancements, which can significantly enhance PET image quality.
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Affiliation(s)
- Jae Sung Lee
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul 03080, South Korea; Brightonix Imaging Inc., Seoul 04782, South Korea
| | - Min Sun Lee
- Environmental Radioactivity Assessment Team, Nuclear Emergency & Environmental Protection Division, Korea Atomic Energy Research Institute, Daejeon 34057, South Korea.
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Holy EN, Li E, Bhattarai A, Fletcher E, Alfaro ER, Harvey DJ, Spencer BA, Cherry SR, DeCarli CS, Fan AP. Non-invasive quantification of 18F-florbetaben with total-body EXPLORER PET. RESEARCH SQUARE 2023:rs.3.rs-3764930. [PMID: 38234716 PMCID: PMC10793501 DOI: 10.21203/rs.3.rs-3764930/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Purpose Kinetic modeling of 18F-florbetaben provides important quantification of brain amyloid deposition in research and clinical settings but its use is limited by the requirement of arterial blood data for quantitative PET. The total-body EXPLORER PET scanner supports the dynamic acquisition of a full human body simultaneously and permits noninvasive image-derived input functions (IDIFs) as an alternative to arterial blood sampling. This study quantified brain amyloid burden with kinetic modeling, leveraging dynamic 18F-florbetaben PET in aorta IDIFs and the brain in an elderly cohort. Methods 18F-florbetaben dynamic PET imaging was performed on the EXPLORER system with tracer injection (300 MBq) in 3 individuals with Alzheimer's disease (AD), 3 with mild cognitive impairment, and 9 healthy controls. Image-derived input functions were extracted from the descending aorta with manual regions of interest based on the first 30 seconds after injection. Dynamic time-activity curves (TACs) for 110 minutes were fitted to the two-tissue compartment model (2TCM) using population-based metabolite corrected IDIFs to calculate total and specific distribution volumes (VT, Vs) in key brain regions with early amyloid accumulation. Non-displaceable binding potential (BPND) was also calculated from the multi-reference tissue model (MRTM). Results Amyloid-positive (AD) patients showed the highest VT and VS in anterior cingulate, posterior cingulate, and precuneus, consistent with BPND analysis. BPND and VT from kinetic models were correlated (r2 = 0.46, P<2e-16) with a stronger positive correlation observed in amyloid-positive participants, indicating reliable model fits with the IDIFs. VT from 2TCM was highly correlated (r2 = 0.65, P< 2e-16) with Logan graphical VT estimation. Conclusion Non-invasive quantification of amyloid binding from total-body 18F-florbetaben PET data is feasible using aorta IDIFs with high agreement between kinetic distribution volume parameters compared to BPND in amyloid-positive and negative older individuals.
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Affiliation(s)
- Emily N Holy
- Department of Neurology, University of California (UC) Davis Health
- Department of Biomedical Engineering, UC Davis
| | | | - Anjan Bhattarai
- Department of Neurology, University of California (UC) Davis Health
- Department of Biomedical Engineering, UC Davis
| | - Evan Fletcher
- Department of Neurology, University of California (UC) Davis Health
| | - Evelyn R Alfaro
- Department of Neurology, University of California (UC) Davis Health
| | | | - Benjamin A Spencer
- Department of Biomedical Engineering, UC Davis
- Department of Radiology, UC Davis Health
| | - Simon R Cherry
- Department of Biomedical Engineering, UC Davis
- Department of Radiology, UC Davis Health
| | | | - Audrey P Fan
- Department of Neurology, University of California (UC) Davis Health
- Department of Biomedical Engineering, UC Davis
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Chaudhari AJ, Abdelhafez YG, Nardo L, Raychaudhuri SP. EXPLORing Arthritis with Total-body Positron Emission Tomography. Semin Musculoskelet Radiol 2023; 27:632-640. [PMID: 37935209 PMCID: PMC10689025 DOI: 10.1055/s-0043-1775746] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Arthritis has significant adverse consequences on musculoskeletal tissues and often other organs of the body. Current methods for clinical evaluation of arthritis are suboptimal, and biomarkers that are objective and measurable indicators for monitoring of arthritis disease activity are in critical demand. Recently, total-body positron emission tomography (PET) has been developed that can collect imaging signals synchronously from the entire body at ultra-low doses and reduced scan times. These scanners have increased signal collection efficiency that overcomes several limitations of standard PET scanners in the evaluation of arthritis, and they may potentially provide biomarkers to assess local and systemic impact of the arthritis disease process. This article reviews current results from using total-body PET in the assessment of common arthritic conditions, and it outlines future opportunities and challenges.
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Affiliation(s)
| | - Yasser G. Abdelhafez
- Department of Radiology, University of California, Davis, Davis, California
- Nuclear Medicine Unit, South Egypt Cancer Institute, Assiut University, Assiut, Egypt
| | - Lorenzo Nardo
- Department of Radiology, University of California, Davis, Davis, California
| | - Siba P. Raychaudhuri
- Department of Internal Medicine – Rheumatology, University of California, Davis, Davis, California
- Northern California Veterans Affairs Medical Center, Mather, California
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Liu G, Tan H, Sui X, Qi C, Cao Y, Cai D, Hu P, Zhang Y, Shi H. One-tenth-activity total-body positron emission tomography versus full-activity imaging in patients with a complex of hepatic malignant tumors: a retrospective study. Quant Imaging Med Surg 2023; 13:8517-8530. [PMID: 38106244 PMCID: PMC10722061 DOI: 10.21037/qims-23-719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 09/22/2023] [Indexed: 12/19/2023]
Abstract
Background The value of ultra-low-activity 2-[18F]-fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography (PET) imaging in patients with hepatic malignancies remains unclear. Methods A cross-sectional study was conducted from April 2019 to May 2021 in Zhongshan Hospital, Fudan University. A total of 49 patients with hepatic malignancies, including hepatocellular carcinoma (HCC) (n=13) or intrahepatic cholangiocarcinoma (ICC) (n=36), underwent 60-min dynamic PET imaging, with 15 undergoing full-activity 18F-FDG and 34 undergoing ultra-low-activity 18F-FDG. The kinetic metrics (K1-k3, and Ki) of tumors were calculated and compared between the activity groups. Another 54 patients (27 each group) with hepatic malignancies, including HCC (n=9), ICC (n=34), and metastases (n=11), underwent static imaging. Image qualities were compared between the groups in terms of 5-point Likert scores (with a score ≥3 fulfilling the clinical requirement), the mean standardized uptake value (SUVmean), the standard deviation of standardized uptake value (SUVSD), and the signal-to-noise ratio (SNR) of the liver; the SUVmean of blood pool and muscle; and the tumor-to-liver ratio (TLR), tumor-to-blood ratio (TBR), and tumor-to-muscle ratio (TMR) of lesions. Intergroup comparisons were performed using Chi-squared test for categorical variables and the Student's t-test or the Mann-Whitney test for continuous variables depending on the normality of variables. Results There was a nonsignificant difference in the kinetic metrics (K1-k3 and Ki) of tumors between the activity groups. In static imaging, 1-min full-activity (F1) and 8-min ultra-low-activity (L8) images obtained image-quality scores >3 and were thus selected for intergroup comparisons. Nonsignificant differences in SUVmean of liver, blood pool, and muscle were identified between F1 and L8 images (P=0.641, P=0.542, and P=0.073, respectively) although the liver SNR was slightly higher in F1 (13.10 vs. 11.31; P=0.003). Lesion detectability was 98.5% and 100% for F1 and L8 images, respectively, but there were no significant differences in TLR, TBR, or TMR between the groups. Conclusions The results of this single-center study indicate that the performance of ultra-low-activity PET imaging is comparable to that of full-activity imaging in patients with hepatic malignancies.
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Affiliation(s)
- Guobing Liu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hui Tan
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiuli Sui
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chi Qi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yanyan Cao
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Danjie Cai
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Pengcheng Hu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yiqiu Zhang
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hongcheng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Institute of Nuclear Medicine, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
- Cancer Prevention and Treatment Center, Zhongshan Hospital, Fudan University, Shanghai, China
- Collaborative Innovation Center for Molecular Imaging Precision Medicine, Shanxi Medical University, Taiyuan, China
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Duan Y, Zan K, Zhao M, Ng YL, Li H, Ge M, Chai L, Cui X, Quan W, Li K, Zhou Y, Chen L, Wang X, Cheng Z. The feasibility of quantitative assessment of dynamic 18F-fluorodeoxyglucose PET in Takayasu's arteritis: a pilot study. Eur J Nucl Med Mol Imaging 2023; 51:81-92. [PMID: 37691022 DOI: 10.1007/s00259-023-06429-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 09/04/2023] [Indexed: 09/12/2023]
Abstract
PURPOSE PET has been demonstrated to be sensitive for detecting active inflammation in Takayasu's arteritis (TAK) patients, but semi-quantitative-based assessment may be susceptible to various biological and technical factors. Absolute quantification via dynamic PET (dPET) may provide a more reliable and quantitative assessment of TAK-active arteries. The purpose of this study was to investigate the feasibility and efficacy of dPET in quantifying TAK-active arteries compared to static PET. MATERIALS AND METHODS This prospective study enrolled 10 TAK-active patients (fulfilled the NIH criteria) and 5 control participants from March to October 2022. One-hour dPET scan (all TAK and control participants) and delayed static PET scan at 2-h (all TAK patients) were acquired. For 1-h static PET, summed images from 50 to 60 min of the dPET were extracted. PET parameters derived from 1- and 2-h static PET including SUV (SUV1H and SUV2H), target-to-background ratio (TBR) (TBR1H and TBR2H), net influx rate (Ki), and TBRKi extracted from dPET were obtained. The detectability of TAK-active arteries was compared among different scanning methods using the generalized estimating equation (GEE) with a logistic regression with repeated measures, and the GEE with gamma distribution and log link function was used to evaluate the different study groups or scanning methods. RESULTS Based on the disease states, 5 cases of TAK were classified as untreated and relapsed, respectively. The SUVmax on 2-h PET was higher than that on 1-h PET in the untreated patients (P < 0.05). However, no significant differences were observed in the median SUVmax between 1-h PET and 2-h PET in the relapsed patients (P > 0.05). The TBRKi was significantly higher than both TBR1H and TBR2H (all P < 0.001). Moreover, the detectability of TAK-active arteries by dPET-derived Ki was significantly higher than 1-h and 2-h PET (all P < 0.001). Significant differences were observed in Kimax, SUVmax-1H, TBR1H, and TBRKi among untreated, relapsed, and control groups (all P < 0.05). CONCLUSIONS Absolute quantitative assessment by dPET provides an improved sensitivity and detectability in both visualization and quantification of TAK-active arteries. This elucidates the clinical significance of dPET in the early detection of active inflammation and monitoring recurrence.
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Affiliation(s)
- Yanhua Duan
- Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China
| | - Keyu Zan
- Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Minjie Zhao
- Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Yee Ling Ng
- Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, China
| | - Hui Li
- Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China
| | - Min Ge
- Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China
| | - Leiying Chai
- Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China
| | - Xiao Cui
- Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China
| | - Wenjin Quan
- Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China
| | - Kun Li
- Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China
| | - Yun Zhou
- Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, China
| | - Li Chen
- Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 250021.
| | - Ximing Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 250021.
| | - Zhaoping Cheng
- Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China.
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Wang H, Xie X, Duan Y, Chai L, Li K, Qiu J, Cheng Z. Rabbit systemic glucose metabolism map by total-body dynamic PET/CT technology. Nucl Med Commun 2023; 44:1144-1150. [PMID: 37706260 PMCID: PMC10631506 DOI: 10.1097/mnm.0000000000001767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 08/30/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND This study evaluated total-body glucose metabolism in a preclinical lab animal, the rabbit, by employing a dynamic glucose metabolic image obtained with total-body fluorine-18 fluorodeoxyglucose ( 18 F-FDG) PET/computed tomography (PET/CT). METHODS The dynamic total-body PET/CT system was used to obtain glucose metabolic imaging from 10 sedated body-matched rabbits. The standard uptake value (SUV) of 18 F-FDG was used to evaluate glucose metabolism. In addition, the correlation between glucose metabolism and sexes was assessed, as well as metabolic differences between left- and right sides. RESULTS We found significant distribution heterogeneity of glucose in several organs across the entire body. There were no significant metabolic differences between sexes and between bilateral sides in the 10 rabbits. Thereafter, we assayed the major organ SUV changes by dynamic PET/CT of the major organs. The heart, liver, and urinary system showed more 18 F-FDG, whereas the skeletal muscle, brain, spinal cord, and lungs incorporated less 18 F-FDG. The phenotype of 18 F-FDG uptake was highly correlated with the physiological functions. The 18 F-FDG accumulation in urinary system were observed which could reflect the renal parenchyma glucose metabolism indirectly. However, the low 18 F-FDG uptake in the brain and spinal cord was due to sedation. CONCLUSION The total-body glucose metabolic atlas depicted with 18 F-FDG dynamic PET/CT may be used as a reference for assessing pathological 18 F-FDG uptake. Furthermore, this study could be a reference for preclinical research involving abnormality of glucose metabolism.
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Affiliation(s)
- Haochen Wang
- Department of General Surgery, the First Affiliated Hospital of Shandong First Medical University
| | - Xue Xie
- Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences and
| | - Yanhua Duan
- Department of Nuclear Medicine, the First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong Province, China
| | - Leiying Chai
- Department of Nuclear Medicine, the First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong Province, China
| | - Kun Li
- Department of Nuclear Medicine, the First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong Province, China
| | - Jianfeng Qiu
- Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences and
| | - Zhaoping Cheng
- Department of Nuclear Medicine, the First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong Province, China
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Dadgar M, Maebe J, Abi Akl M, Vervenne B, Vandenberghe S. A simulation study of the system characteristics for a long axial FOV PET design based on monolithic BGO flat panels compared with a pixelated LSO cylindrical design. EJNMMI Phys 2023; 10:75. [PMID: 38036794 PMCID: PMC10689648 DOI: 10.1186/s40658-023-00593-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 11/07/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Although a new generation of tomographs with a longer axial field-of-view called total-body PET have been developed, they are not widely utilized due to their high cost compared to conventional scanners. The newly designed walk-through total-body PET scanner is introduced as a high-throughput and cost-efficient alternative to total-body PET scanners, by making use of a flat panel geometry and lower cost, depth-of-interaction capable, monolithic BGO detectors. The main aim of the presented study is to evaluate through Monte Carlo simulation the system characteristics of the walk-through total-body PET scanner by comparing it with a Quadra-like total-body PET of similar attributes to the Siemens Biograph Vision Quadra. METHODS The walk-through total-body PET is comprised of two flat detector panels, spaced 50 cm apart. Each panel, 70 [Formula: see text] 106 cm[Formula: see text] in size, consists of 280 BGO-based monolithic detectors. The Quadra-like TB-PET has been simulated based on the characteristics of the Biograph Vision Quadra, one of the most common total-body PET scanners with 106 cm of axial field-of-view, which is constructed with pixelated LSO scintillation crystals. The spatial resolution, sensitivity, count rate performance, scatter fractions, and image quality of both scanners are simulated in the GATE simulation toolkit for comparison. RESULTS Due to the DOI-capable detectors used in the walk-through total-body PET, the values of the spatial resolution of this scanner were all below 2 mm along directions parallel to the panels, and reached a maximum of 3.36 mm in the direction perpendicular to the panels. This resolution is a large improvement compared to the values of the Quadra-like TB-PET. The walk-through total-body PET uses its maximum sensitivity (154 cps/kBq) for data acquisition and image reconstruction. CONCLUSION Based on the combination of very good spatial resolution and high sensitivity of the walk-through total-body PET, along with a 2.2 times lower scintillation crystal volume and 1.8 times lower SiPM surface, this scanner can be a very cost-efficient alternative for total-body PET scanners in cases where concomitant CT is not required.
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Affiliation(s)
- Meysam Dadgar
- Department of Electronics and Information Systems, Medical Image and Signal Processing, Ghent University, C. Heymanslaan 10, Ghent, Belgium.
| | - Jens Maebe
- Department of Electronics and Information Systems, Medical Image and Signal Processing, Ghent University, C. Heymanslaan 10, Ghent, Belgium
| | - Maya Abi Akl
- Department of Electronics and Information Systems, Medical Image and Signal Processing, Ghent University, C. Heymanslaan 10, Ghent, Belgium
- Division of Arts and Sciences, Texas A&M University at Qatar, Doha, Qatar
| | - Boris Vervenne
- Department of Electronics and Information Systems, Medical Image and Signal Processing, Ghent University, C. Heymanslaan 10, Ghent, Belgium
| | - Stefaan Vandenberghe
- Department of Electronics and Information Systems, Medical Image and Signal Processing, Ghent University, C. Heymanslaan 10, Ghent, Belgium
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Rezaei H, Sheikhzadeh P, Ghafarian P, Zaidi H, Ay MR. Accurate modeling and performance evaluation of a total-body pet scanner using Monte Carlo simulations. Med Phys 2023; 50:6815-6827. [PMID: 37665768 DOI: 10.1002/mp.16707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 08/22/2023] [Accepted: 08/22/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND The limited axial field-of-view (FOV) of conventional clinical positron emission tomography (PET) scanners (∼15 to 26 cm) allows detecting only 1% of all coincidence photons, hence limiting significantly their sensitivity. To overcome this limitation, the EXPLORER consortium developed the world's first total-body PET/CT scanner that significantly increased the sensitivity, thus enabling to decrease the scan duration or injected dose. PURPOSE The purpose of this study is to perform and validate Monte Carlo simulations of the uEXPLORER PET scanner, which can be used to devise novel conceptual designs and geometrical configurations through obtaining features that are difficult to obtain experimentally. METHODS The total-body uEXPLORER PET scanner was modeled using GATE Monte Carlo (MC) platform. The model was validated through comparison with experimental measurements of various performance parameters, including spatial resolution, sensitivity, count rate performance, and image quality, according to NEMA-NU2 2018 standards. Furthermore, the effects of the time coincidence window and maximum ring difference on the count rate and noise equivalent count rate (NECR) were evaluated. RESULTS Overall, the validation study showed that there was a good agreement between the simulation and experimental results. The differences between the simulated and experimental total sensitivity for the NEMA and extended phantoms at the center of the FOV were 2.3% and 0.0%, respectively. The difference in peak NECR was 9.9% for the NEMA phantom and 1.0% for the extended phantom. The average bias between the simulated and experimental results of the full-width-at-half maximum (FWHM) for six different positions and three directions was 0.12 mm. The simulations showed that using a variable coincidence time window based on the maximum ring difference can reduce the effect of random coincidences and improve the NECR compared to a constant time coincidence window. The NECR corresponding to 252-ring difference was 2.11 Mcps, which is larger than the NECR corresponding to 336-ring difference (2.04 Mcps). CONCLUSION The developed MC model of the uEXPLORER PET scanner was validated against experimental measurements and can be used for further assessment and design optimization of the scanner.
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Affiliation(s)
- Hadi Rezaei
- Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Science, Tehran, Iran
- Research Center for Molecular and Cellular Imaging (RCMCI), Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Peyman Sheikhzadeh
- Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Science, Tehran, Iran
- Department of Nuclear Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Pardis Ghafarian
- Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
- PET/CT and Cyclotron Center, Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Habib Zaidi
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland
- Geneva University Neurocenter, Geneva University, Geneva, Switzerland
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University, Medical Center Groningen, Groningen, Netherlands
- Department of Nuclear Medicine, University of Southern Denmark, Odense, Denmark
| | - Mohammad Reza Ay
- Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Science, Tehran, Iran
- Research Center for Molecular and Cellular Imaging (RCMCI), Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences (TUMS), Tehran, Iran
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Wang Y, Nardo L, Spencer BA, Abdelhafez YG, Li EJ, Omidvari N, Chaudhari AJ, Badawi RD, Jones T, Cherry SR, Wang G. Total-Body Multiparametric PET Quantification of 18F-FDG Delivery and Metabolism in the Study of Coronavirus Disease 2019 Recovery. J Nucl Med 2023; 64:1821-1830. [PMID: 37591539 PMCID: PMC10626370 DOI: 10.2967/jnumed.123.265723] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 07/05/2023] [Indexed: 08/19/2023] Open
Abstract
Conventional whole-body static 18F-FDG PET imaging provides a semiquantitative evaluation of overall glucose metabolism without insight into the specific transport and metabolic steps. Here we demonstrate the ability of total-body multiparametric 18F-FDG PET to quantitatively evaluate glucose metabolism using macroparametric quantification and assess specific glucose delivery and phosphorylation processes using microparametric quantification for studying recovery from coronavirus disease 2019 (COVID-19). Methods: The study included 13 healthy subjects and 12 recovering COVID-19 subjects within 8 wk of confirmed diagnosis. Each subject had a 1-h dynamic 18F-FDG scan on the uEXPLORER total-body PET/CT system. Semiquantitative SUV and the SUV ratio relative to blood (SUVR) were calculated for different organs to measure glucose utilization. Tracer kinetic modeling was performed to quantify the microparametric blood-to-tissue 18F-FDG delivery rate [Formula: see text] and the phosphorylation rate k 3, as well as the macroparametric 18F-FDG net influx rate ([Formula: see text]). Statistical tests were performed to examine differences between healthy subjects and recovering COVID-19 subjects. The effect of COVID-19 vaccination was also investigated. Results: We detected no significant difference in lung SUV but significantly higher lung SUVR and [Formula: see text] in COVID-19 recovery, indicating improved sensitivity of kinetic quantification for detecting the difference in glucose metabolism. A significant difference was also observed in the lungs with the phosphorylation rate k 3 but not with [Formula: see text], which suggests that glucose phosphorylation, rather than glucose delivery, drives the observed difference of glucose metabolism. Meanwhile, there was no or little difference in bone marrow 18F-FDG metabolism measured with SUV, SUVR, and [Formula: see text] but a significantly higher bone marrow [Formula: see text] in the COVID-19 group, suggesting a difference in glucose delivery. Vaccinated COVID-19 subjects had a lower lung [Formula: see text] and a higher spleen [Formula: see text] than unvaccinated COVID-19 subjects. Conclusion: Higher lung glucose metabolism and bone marrow glucose delivery were observed with total-body multiparametric 18F-FDG PET in recovering COVID-19 subjects than in healthy subjects, implying continued inflammation during recovery. Vaccination demonstrated potential protection effects. Total-body multiparametric PET of 18F-FDG can provide a more sensitive tool and more insights than conventional whole-body static 18F-FDG imaging to evaluate metabolic changes in systemic diseases such as COVID-19.
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Affiliation(s)
- Yiran Wang
- Department of Radiology, Davis Medical Center, University of California, Sacramento, California;
- Department of Biomedical Engineering, University of California, Davis, Davis, California; and
| | - Lorenzo Nardo
- Department of Radiology, Davis Medical Center, University of California, Sacramento, California
| | - Benjamin A Spencer
- Department of Radiology, Davis Medical Center, University of California, Sacramento, California
- Department of Biomedical Engineering, University of California, Davis, Davis, California; and
| | - Yasser G Abdelhafez
- Department of Radiology, Davis Medical Center, University of California, Sacramento, California
- Nuclear Medicine Unit, South Egypt Cancer Institute, Assiut University, Assiut, Egypt
| | - Elizabeth J Li
- Department of Biomedical Engineering, University of California, Davis, Davis, California; and
| | - Negar Omidvari
- Department of Biomedical Engineering, University of California, Davis, Davis, California; and
| | - Abhijit J Chaudhari
- Department of Radiology, Davis Medical Center, University of California, Sacramento, California
| | - Ramsey D Badawi
- Department of Radiology, Davis Medical Center, University of California, Sacramento, California
- Department of Biomedical Engineering, University of California, Davis, Davis, California; and
| | - Terry Jones
- Department of Radiology, Davis Medical Center, University of California, Sacramento, California
| | - Simon R Cherry
- Department of Radiology, Davis Medical Center, University of California, Sacramento, California
- Department of Biomedical Engineering, University of California, Davis, Davis, California; and
| | - Guobao Wang
- Department of Radiology, Davis Medical Center, University of California, Sacramento, California
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Wu Y, Sun X, Zhang B, Zhang S, Wang X, Sun Z, Liu R, Zhang M, Hu K. Marriage of radiotracers and total-body PET/CT rapid imaging system: current status and clinical advances. AMERICAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 2023; 13:195-207. [PMID: 38023815 PMCID: PMC10656629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 09/02/2023] [Indexed: 12/01/2023]
Abstract
Radiotracers and medical imaging equipment are the two main keys to molecular imaging. While radiotracers are of great interest to research and industry, medical imaging equipment technology is blossoming everywhere. Total-body PET/CT (TB-PET/CT) has emerged in response to this trend and is rapidly gaining traction in the fields of clinical oncology, cardiovascular medicine, inflammatory/infectious diseases, and pediatric diseases. In addition, the use of a growing number of radiopharmaceuticals in TB-PET/CT systems has shown promising results. Notably, the distinctive features of TB-PET/CT, such as its ultra-long axial field of view (194 cm), ultra-high sensitivity, and capability for low-dose tracer imaging, have enabled enhanced imaging quality while reducing the radiation dose. The envisioned whole-body dynamic imaging, delayed imaging, personalized disease management, and ultrafast acquisition for motion correction, among others, are achieved. This review highlights two key factors affecting molecular imaging, describing the rapid imaging effects of radiotracers allowed at low doses on TB-PET/CT and the improvements offered compared to conventional PET/CT.
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Affiliation(s)
- Yuxuan Wu
- Beijing Engineering Research Center of Printed Electronics, School of Printing and Packaging Engineering, Beijing Institute of Graphic CommunicationBeijing 102600, China
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100050, China
| | - Xiaona Sun
- Beijing Engineering Research Center of Printed Electronics, School of Printing and Packaging Engineering, Beijing Institute of Graphic CommunicationBeijing 102600, China
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100050, China
| | - Boyang Zhang
- Beijing Engineering Research Center of Printed Electronics, School of Printing and Packaging Engineering, Beijing Institute of Graphic CommunicationBeijing 102600, China
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100050, China
| | - Siqi Zhang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100050, China
| | - Xingkai Wang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100050, China
| | - Zhicheng Sun
- Beijing Engineering Research Center of Printed Electronics, School of Printing and Packaging Engineering, Beijing Institute of Graphic CommunicationBeijing 102600, China
| | - Ruping Liu
- Beijing Engineering Research Center of Printed Electronics, School of Printing and Packaging Engineering, Beijing Institute of Graphic CommunicationBeijing 102600, China
| | - Mingrong Zhang
- Department of Advanced Nuclear Medicine Sciences, Institute of Quantum Medical Science, National Institutes for Quantum Science and TechnologyChiba 263-8555, Japan
| | - Kuan Hu
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100050, China
- Department of Advanced Nuclear Medicine Sciences, Institute of Quantum Medical Science, National Institutes for Quantum Science and TechnologyChiba 263-8555, Japan
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Omidvari N, Jones T, Price PM, Ferre AL, Lu J, Abdelhafez YG, Sen F, Cohen SH, Schmiedehausen K, Badawi RD, Shacklett BL, Wilson I, Cherry SR. First-in-human immunoPET imaging of COVID-19 convalescent patients using dynamic total-body PET and a CD8-targeted minibody. SCIENCE ADVANCES 2023; 9:eadh7968. [PMID: 37824612 PMCID: PMC10569706 DOI: 10.1126/sciadv.adh7968] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 09/07/2023] [Indexed: 10/14/2023]
Abstract
With most of the T cells residing in the tissue, not the blood, developing noninvasive methods for in vivo quantification of their biodistribution and kinetics is important for studying their role in immune response and memory. This study presents the first use of dynamic positron emission tomography (PET) and kinetic modeling for in vivo measurement of CD8+ T cell biodistribution in humans. A 89Zr-labeled CD8-targeted minibody (89Zr-Df-Crefmirlimab) was used with total-body PET in healthy individuals (N = 3) and coronavirus disease 2019 (COVID-19) convalescent patients (N = 5). Kinetic modeling results aligned with T cell-trafficking effects expected in lymphoid organs. Tissue-to-blood ratios from the first 7 hours of imaging were higher in bone marrow of COVID-19 convalescent patients compared to controls, with an increasing trend between 2 and 6 months after infection, consistent with modeled net influx rates and peripheral blood flow cytometry analysis. These results provide a promising platform for using dynamic PET to study the total-body immune response and memory.
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Affiliation(s)
- Negar Omidvari
- Department of Biomedical Engineering, University of California Davis, Davis, CA, USA
| | - Terry Jones
- Department of Radiology, University of California Davis Medical Center, Sacramento, CA, USA
| | - Pat M. Price
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - April L. Ferre
- Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, Davis, CA, USA
| | - Jacqueline Lu
- Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, Davis, CA, USA
| | - Yasser G. Abdelhafez
- Department of Radiology, University of California Davis Medical Center, Sacramento, CA, USA
- Radiotherapy and Nuclear Medicine Department, South Egypt Cancer Institute, Assiut University, Assiut, Egypt
| | - Fatma Sen
- Department of Radiology, University of California Davis Medical Center, Sacramento, CA, USA
| | - Stuart H. Cohen
- Division of Infectious Diseases, Department of Internal Medicine, University of California Davis Medical Center, Sacramento, CA, USA
| | | | - Ramsey D. Badawi
- Department of Biomedical Engineering, University of California Davis, Davis, CA, USA
- Department of Radiology, University of California Davis Medical Center, Sacramento, CA, USA
| | - Barbara L. Shacklett
- Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, Davis, CA, USA
- Division of Infectious Diseases, Department of Internal Medicine, University of California Davis Medical Center, Sacramento, CA, USA
| | | | - Simon R. Cherry
- Department of Biomedical Engineering, University of California Davis, Davis, CA, USA
- Department of Radiology, University of California Davis Medical Center, Sacramento, CA, USA
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Chen X, Gallagher F, Sellmyer MA, Ordonez AA, Kjaer A, Ohliger M, Wilson DM, Jain SK. Visualizing Bacterial Infections With Novel Targeted Molecular Imaging Approaches. J Infect Dis 2023; 228:S249-S258. [PMID: 37788506 PMCID: PMC10547462 DOI: 10.1093/infdis/jiad078] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023] Open
Abstract
Although nearly a century has elapsed since the discovery of penicillin, bacterial infections remain a major global threat. Global antibiotic use resulted in an astounding 42 billion doses of antibiotics administered in 2015 with 128 billion annual doses expected by 2030. This overuse of antibiotics has led to the selection of multidrug-resistant "super-bugs," resulting in increasing numbers of patients being susceptible to life-threatening infections with few available therapeutic options. New clinical tools are therefore urgently needed to identify bacterial infections and monitor response to antibiotics, thereby limiting overuse of antibiotics and improving overall health. Next-generation molecular imaging affords unique opportunities to target and identify bacterial infections, enabling spatial characterization as well as noninvasive, temporal monitoring of the natural course of the disease and response to therapy. These emerging noninvasive imaging approaches could overcome several limitations of current tools in infectious disease, such as the need for biological samples for testing with their associated sampling bias. Imaging of living bacteria can also reveal basic biological insights about their behavior in vivo.
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Affiliation(s)
- Xueyi Chen
- Center for Infection and Inflammation Imaging Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ferdia Gallagher
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Mark A Sellmyer
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alvaro A Ordonez
- Center for Infection and Inflammation Imaging Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Andreas Kjaer
- Department of Clinical Physiology and Nuclear Medicine and Cluster for Molecular Imaging, Copenhagen University Hospital–Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Ohliger
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - David M Wilson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Sanjay K Jain
- Center for Infection and Inflammation Imaging Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Cherry SR, Diekmann J, Bengel FM. Total-Body Positron Emission Tomography: Adding New Perspectives to Cardiovascular Research. JACC Cardiovasc Imaging 2023; 16:1335-1347. [PMID: 37676207 DOI: 10.1016/j.jcmg.2023.06.022] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/26/2023] [Accepted: 06/27/2023] [Indexed: 09/08/2023]
Abstract
The recent advent of positron emission tomography (PET) scanners that can image the entire human body opens up intriguing possibilities for cardiovascular research and future clinical applications. These new systems permit radiotracer kinetics to be measured in all organs simultaneously. They are particularly well suited to study cardiovascular disease and its effects on the entire body. They could also play a role in quantitatively measuring physiologic, metabolic, and immunologic responses in healthy individuals to a variety of stressors and lifestyle interventions, and may ultimately be instrumental for evaluating novel therapeutic agents and their molecular effects across different tissues. In this review, we summarize recent progress in PET technology and methodology, discuss several emerging cardiovascular applications for total-body PET, and place this in the context of multiorgan and systems medicine. Finally, we discuss opportunities that will be enabled by the technology, while also pointing to some of the challenges that still need to be addressed.
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Affiliation(s)
- Simon R Cherry
- Departments of Biomedical Engineering and Radiology, University of California, Davis, California, USA.
| | - Johanna Diekmann
- Departments of Biomedical Engineering and Radiology, University of California, Davis, California, USA; Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
| | - Frank M Bengel
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
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Vandenberghe S, Muller FM, Withofs N, Dadgar M, Maebe J, Vervenne B, Akl MA, Xue S, Shi K, Sportelli G, Belcari N, Hustinx R, Vanhove C, Karp JS. Walk-through flat panel total-body PET: a patient-centered design for high throughput imaging at lower cost using DOI-capable high-resolution monolithic detectors. Eur J Nucl Med Mol Imaging 2023; 50:3558-3571. [PMID: 37466650 PMCID: PMC10547652 DOI: 10.1007/s00259-023-06341-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 07/07/2023] [Indexed: 07/20/2023]
Abstract
PURPOSE Long axial field-of-view (LAFOV) systems have a much higher sensitivity than standard axial field-of-view (SAFOV) PET systems for imaging the torso or full body, which allows faster and/or lower dose imaging. Despite its very high sensitivity, current total-body PET (TB-PET) throughput is limited by patient handling (positioning on the bed) and often a shortage of available personnel. This factor, combined with high system costs, makes it hard to justify the implementation of these systems for many academic and nearly all routine nuclear medicine departments. We, therefore, propose a novel, cost-effective, dual flat panel TB-PET system for patients in upright standing positions to avoid the time-consuming positioning on a PET-CT table; the walk-through (WT) TB-PET. We describe a patient-centered, flat panel PET design that offers very efficient patient throughput and uses monolithic detectors (with BGO or LYSO) with depth-of-interaction (DOI) capabilities and high intrinsic spatial resolution. We compare system sensitivity, component costs, and patient throughput of the proposed WT-TB-PET to a SAFOV (= 26 cm) and a LAFOV (= 106 cm) LSO PET systems. METHODS Patient width, height (= top head to start of thighs) and depth (= distance from the bed to front of patient) were derived from 40 randomly selected PET-CT scans to define the design dimensions of the WT-TB-PET. We compare this new PET system to the commercially available Siemens Biograph Vision 600 (SAFOV) and Siemens Quadra (LAFOV) PET-CT in terms of component costs, system sensitivity, and patient throughput. System cost comparison was based on estimating the cost of the two main components in the PET system (Silicon Photomultipliers (SiPMs) and scintillators). Sensitivity values were determined using Gate Monte Carlo simulations. Patient throughput times (including CT and scout scan, patient positioning on bed and transfer) were recorded for 1 day on a Siemens Vision 600 PET. These timing values were then used to estimate the expected patient throughput (assuming an equal patient radiotracer injected activity to patients and considering differences in system sensitivity and time-of-flight information) for WT-TB-PET, SAFOV and LAFOV PET. RESULTS The WT-TB-PET is composed of two flat panels; each is 70 cm wide and 106 cm high, with a 50-cm gap between both panels. These design dimensions were justified by the patient sizes measured from the 40 random PET-CT scans. Each panel consists of 14 × 20 monolithic BGO detector blocks that are 50 × 50 × 16 mm in size and are coupled to a readout with 6 × 6 mm SiPMs arrays. For the WT-TB-PET, the detector surface is reduced by a factor of 1.9 and the scintillator volume by a factor of 2.2 compared to LAFOV PET systems, while demonstrating comparable sensitivity and much better uniform spatial resolution (< 2 mm in all directions over the FOV). The estimated component cost for the WT-TB-PET is 3.3 × lower than that of a 106 cm LAFOV system and only 20% higher than the PET component costs of a SAFOV. The estimated maximum number of patients scanned on a standard 8-h working day increases from 28 (for SAFOV) to 53-60 (for LAFOV in limited/full acceptance) to 87 (for the WT-TB-PET). By scanning faster (more patients), the amount of ordered activity per patient can be reduced drastically: the WT-TB-PET requires 66% less ordered activity per patient than a SAFOV. CONCLUSIONS We propose a monolithic BGO or LYSO-based WT-TB-PET system with DOI measurements that departs from the classical patient positioning on a table and allows patients to stand upright between two flat panels. The WT-TB-PET system provides a solution to achieve a much lower cost TB-PET approaching the cost of a SAFOV system. High patient throughput is increased by fast patient positioning between two vertical flat panel detectors of high sensitivity. High spatial resolution (< 2 mm) uniform over the FOV is obtained by using DOI-capable monolithic scintillators.
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Affiliation(s)
- Stefaan Vandenberghe
- Medical Image and Signal Processing, Department of Electronics and Information Systems, Faculty of Engineering and Architecture, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
| | - Florence M Muller
- Medical Image and Signal Processing, Department of Electronics and Information Systems, Faculty of Engineering and Architecture, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Nadia Withofs
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Quartier Hôpital, Avenue de Hôpital, 1, 4000, Liège 1, Belgium
| | - Meysam Dadgar
- Medical Image and Signal Processing, Department of Electronics and Information Systems, Faculty of Engineering and Architecture, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Jens Maebe
- Medical Image and Signal Processing, Department of Electronics and Information Systems, Faculty of Engineering and Architecture, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Boris Vervenne
- Medical Image and Signal Processing, Department of Electronics and Information Systems, Faculty of Engineering and Architecture, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Maya Abi Akl
- Medical Image and Signal Processing, Department of Electronics and Information Systems, Faculty of Engineering and Architecture, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Song Xue
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Kuangyu Shi
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Quartier Hôpital, Avenue de Hôpital, 1, 4000, Liège 1, Belgium
| | - Giancarlo Sportelli
- Dipartimento Di Fisica "E. Fermi", Università Di Pisa, Italy and with the Instituto Nazionale Di Fisica Nucleare, Sezione Di Pisa, 56127, Pisa, Italy
| | - Nicola Belcari
- Dipartimento Di Fisica "E. Fermi", Università Di Pisa, Italy and with the Instituto Nazionale Di Fisica Nucleare, Sezione Di Pisa, 56127, Pisa, Italy
| | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Quartier Hôpital, Avenue de Hôpital, 1, 4000, Liège 1, Belgium
| | - Christian Vanhove
- Medical Image and Signal Processing, Department of Electronics and Information Systems, Faculty of Engineering and Architecture, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Joel S Karp
- Physics and Instrumentation, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
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Ye Q, Zeng H, Zhao Y, Zhang W, Dong Y, Fan W, Lu Y. Framing protocol optimization in oncological Patlak parametric imaging with uKinetics. EJNMMI Phys 2023; 10:54. [PMID: 37698773 PMCID: PMC10497476 DOI: 10.1186/s40658-023-00577-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 09/05/2023] [Indexed: 09/13/2023] Open
Abstract
PURPOSE Total-body PET imaging with ultra-high sensitivity makes high-temporal-resolution framing protocols possible for the first time, which allows to capture rapid tracer dynamic changes. However, whether protocols with higher number of temporal frames can justify the efficacy with substantially added computation burden for clinical application remains unclear. We have developed a kinetic modeling software package (uKinetics) with the advantage of practical, fast, and automatic workflow for dynamic total-body studies. The aim of this work is to verify the uKinetics with PMOD and to perform framing protocol optimization for the oncological Patlak parametric imaging. METHODS Six different protocols with 100, 61, 48, 29, 19 and 12 temporal frames were applied to analyze 60-min dynamic 18F-FDG PET scans of 10 patients, respectively. Voxel-based Patlak analysis coupled with automatically extracted image-derived input function was applied to generate parametric images. Normal tissues and lesions were segmented manually or automatically to perform correlation analysis and Bland-Altman plots. Different protocols were compared with the protocol of 100 frames as reference. RESULTS Minor differences were found between uKinetics and PMOD in the Patlak parametric imaging. Compared with the protocol with 100 frames, the relative difference of the input function and quantitative kinetic parameters remained low for protocols with at least 29 frames, but increased for the protocols with 19 and 12 frames. Significant difference of lesion Ki values was found between the protocols with 100 frames and 12 frames. CONCLUSION uKinetics was proved providing equivalent oncological Patlak parametric imaging comparing to PMOD. Minor differences were found between protocols with 100 and 29 frames, which indicated that 29-frame protocol is sufficient and efficient for the oncological 18F-FDG Patlak applications, and the protocols with more frames are not needed. The protocol with 19 frames yielded acceptable results, while that with 12 frames is not recommended.
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Affiliation(s)
- Qing Ye
- Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China
| | - Hao Zeng
- Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China
| | - Yizhang Zhao
- Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China
| | | | - Yun Dong
- Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China
| | - Wei Fan
- Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yihuan Lu
- Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China.
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Jiang D, Lan X, Cai W. PET Imaging of Nectin-4: A Promising Tool for Personalized/Precision Oncology. Clin Cancer Res 2023; 29:3259-3261. [PMID: 37417960 PMCID: PMC10529329 DOI: 10.1158/1078-0432.ccr-23-1243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 06/02/2023] [Accepted: 06/21/2023] [Indexed: 07/08/2023]
Abstract
In a recent study, the authors developed a nectin-4-targeting bicyclic peptide-based radiotracer, 68Ga-N188, for PET imaging of advanced urothelial cancer. Preclinical investigation and first-in-human study in 14 patients demonstrated excellent specificity and sensitivity of 68Ga-N188 in detecting metastases. These promising results support 68Ga-N188 as a companion diagnostic for future personalized cancer therapy. See related article by Duan et al., p. 3395.
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Affiliation(s)
- Dawei Jiang
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Xiaoli Lan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Weibo Cai
- Departments of Radiology and Medical Physics, University of Wisconsin - Madison, Madison, WI, 53705, USA
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Duan X, Xia L, Zhang Z, Ren Y, Pomper MG, Rowe SP, Li X, Li N, Zhang N, Zhu H, Yang Z, Sheng X, Yang X. First-in-Human Study of the Radioligand 68Ga-N188 Targeting Nectin-4 for PET/CT Imaging of Advanced Urothelial Carcinoma. Clin Cancer Res 2023; 29:3395-3407. [PMID: 37093191 DOI: 10.1158/1078-0432.ccr-23-0609] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 04/05/2023] [Accepted: 04/19/2023] [Indexed: 04/25/2023]
Abstract
PURPOSE Nectin-4 is an emerging biomarker for cancer diagnosis and therapy. Recently, enfortumab vedotin (EV) was approved by the FDA as the first nectin-4 targeting antibody-drug conjugate for treating advanced urothelial carcinoma (UC). A PET imaging method to noninvasively quantify nectin-4 expression level would potentially help to select patients most likely to respond to EV and predict the response. EXPERIMENTAL DESIGN In this study, we designed a bicyclic peptide-based nectin-4 targeting radiotracer 68Ga-N188. Initially, we performed preclinical evaluations of 68Ga-N188 in UC cell lines and xenograft mouse models. Next, we performed the translational study in healthy volunteers and a pilot cohort of patients with advanced UC on uEXPLORER total-body PET/CT. RESULTS In the preclinical study, 68Ga-N188 showed high affinity to nectin-4, specific uptake in a nectin-4(+) xenograft mouse model, and suitable pharmacokinetic and safety profiles. In the translational study, 2 healthy volunteers and 14 patients with advanced UC were enrolled. The pharmacokinetic profile was determined for 68Ga-N188, and the nectin-4 relative expression level in different organs was quantitatively imaged. CONCLUSIONS A clear correlation between PET SUV value and nectin-4 expression was observed, supporting the application of 68Ga-N188 PET as a companion diagnostic tool for optimizing treatments that target nectin-4. See related commentary by Jiang et al., p. 3259.
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Affiliation(s)
- Xiaojiang Duan
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, China
| | - Lei Xia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
- Key Laboratory for Research and Evaluation of Radiopharmaceuticals, National Medical Products Administration (NMPA), Beijing, China
| | - Zhuochen Zhang
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, China
| | - Yanan Ren
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
| | - Martin G Pomper
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Steven P Rowe
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Xuesong Li
- Department of Urology, Peking University First Hospital, Beijing, China
| | - Nan Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
- Key Laboratory for Research and Evaluation of Radiopharmaceuticals, National Medical Products Administration (NMPA), Beijing, China
| | - Ning Zhang
- Translational Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Hua Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
- Key Laboratory for Research and Evaluation of Radiopharmaceuticals, National Medical Products Administration (NMPA), Beijing, China
| | - Zhi Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
- Key Laboratory for Research and Evaluation of Radiopharmaceuticals, National Medical Products Administration (NMPA), Beijing, China
| | - Xinan Sheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genitourinary Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xing Yang
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, China
- Key Laboratory for Research and Evaluation of Radiopharmaceuticals, National Medical Products Administration (NMPA), Beijing, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
- International Cancer Institute, Peking University Health Science Center, Beijing, China
- Yunnan Baiyao Group, Kunming, China
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50
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Meng N, Zhang M, Ren J, Fu F, Xie B, Wu Y, Li Z, Dai B, Li Y, Feng T, Xu T, Wang M. Quantitative parameters of static imaging and fast kinetics imaging in 18F-FDG total-body PET/CT for the assessment of histological feature of pulmonary lesions. Quant Imaging Med Surg 2023; 13:5579-5592. [PMID: 37711783 PMCID: PMC10498229 DOI: 10.21037/qims-23-186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 06/30/2023] [Indexed: 09/16/2023]
Abstract
Background To investigate the value of quantitative parameters related to static imaging and fast kinetics imaging of total-body (TB) 2-[18F]-fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) in differentiating benign from malignant pulmonary lesions and squamous cell carcinoma (SCC) from adenocarcinoma (AC) and to analyze the correlation of each parameter with the Ki-67 index. Methods A total of 108 patients with pulmonary lesions from July 2021 to May 2022 in the Henan Provincial People's Hospital, China, were consecutively recruited for TB 18F-FDG PET/CT in this prospective study. Static imaging parameters maximum standardized uptake value (SUVmax) and fast kinetics imaging parameters transport constant (K1), rate constants (k2), time delay (td), and fractional blood volume (vb) were calculated and compared. The area under the receiver operating characteristic (ROC) curve (AUC), Delong test, Logistic regression analyses, and Pearson correlation were used to assess diagnostic efficacy, find independent predictors and analyse correlations respectively. Results Malignant lesions had higher SUVmax and K1 and lower vb than benign lesions, and SCC had higher SUVmax and K1 and lower td and vb than AC (all P<0.05). For the differentiation of benign and malignant lesions, SUVmax, K1, and vb were independent predictors, and AUC (SUVmax + K1+ vb) =0.909 (95% CI: 0.839-0.956), AUC (SUVmax) =0.883 (95% CI: 0.807-0.937), AUC (K1) =0.810 (95% CI: 0.723-0.879), and AUC (vb) =0.746 (95% CI: 0.653-0.825), where AUC (SUVmax + K1+ vb) was significantly different from AUC (K1), AUC (vb) (Z=3.006, 3.965, all P<0.05). For the differentiation of SCC and AC, SUVmax, K1, td, and vb were independent predictors, and AUC (SUVmax + K1+ td + vb) =0.946 (95% CI: 0.840-0.991), AUC (SUVmax) =0.818 (95% CI: 0.680-0.914), AUC (K1) =0.770 (95% CI: 0.626-0.879), AUC (vb) =0.737 (95% CI: 0.590-0.853), and AUC (td) =0.669 (95% CI: 0.510-0.791), where AUC (SUVmax + K1+ td + vb) was significantly different from AUC (SUVmax), AUC (K1), AUC (vb), and AUC (td) (Z=2.269, 2.821, 2.848, and 3.276, all P<0.05). SUVmax and K1 were moderately and mildly positively correlated with the Ki-67 index (r=0.541, 0.452, all P<0.05), respectively. Conclusions Quantitative parameters of static imaging and fast kinetics imaging in 18F-FDG total-body PET/CT can be used to differentiate benign from malignant pulmonary lesions and SCC from AC and to assess Ki-67 expression.
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Affiliation(s)
- Nan Meng
- Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, Zhengzhou, China
- Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Sciences, Zhengzhou, China
| | - Meng Zhang
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Jipeng Ren
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Fangfang Fu
- Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Beichen Xie
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Yaping Wu
- Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Zhong Li
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Bo Dai
- Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Yuxia Li
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Tao Feng
- United Imaging Healthcare America Inc. TX, USA
| | - Tianyi Xu
- United Imaging Healthcare, Shanghai, China
| | - Meiyun Wang
- Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, Zhengzhou, China
- Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Sciences, Zhengzhou, China
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