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Godinez F, Mingels C, Bayerlein R, Mehadji B, Nardo L. Total Body PET/CT: Future Aspects. Semin Nucl Med 2025; 55:107-115. [PMID: 39542814 PMCID: PMC11977673 DOI: 10.1053/j.semnuclmed.2024.10.011] [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: 10/17/2024] [Accepted: 10/19/2024] [Indexed: 11/17/2024]
Abstract
Total-body (TB) positron emission tomography (PET) scanners are classified by their axial field of view (FOV). Long axial field of view (LAFOV) PET scanners can capture images from eyes to thighs in a one-bed position, covering all major organs with an axial FOV of about 100 cm. However, they often miss essential areas like distal lower extremities, limiting their use beyond oncology.TB-PET is reserved for scanners with a FOV of 180 cm or longer, allowing coverage of most of the body. LAFOV PET technology emerged about 40 years ago but gained traction recently due to advancements in data acquisition and cost. Early research highlighted its benefits, leading to the first FDA-cleared TB-PET/CT device in 2019 at UC Davis. Since then, various LAFOV scanners with enhanced capabilities have been developed, improving image quality, reducing acquisition times, and allowing for dynamic imaging. The uEXPLORER, the first LAFOV scanner, has a 194 cm active PET AFOV, far exceeding traditional scanners. The Panorama GS and others have followed suit in optimizing FOVs. Despite slow adoption due to the COVID pandemic and costs, over 50 LAFOV scanners are now in use globally. This review explores the future of LAFOV technology based on recent literature and experiences, covering its clinical applications, implications for radiation oncology, challenges in managing PET data, and expectations for technological advancements.
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Affiliation(s)
- Felipe Godinez
- Department of Radiology, University of California Davis, Sacramento, CA.
| | - Clemens Mingels
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Reimund Bayerlein
- Department of Biomedical Engineering, University of California Davis, Davis, CA
| | - Brahim Mehadji
- Department of Radiology, University of California Davis, Sacramento, CA
| | - Lorenzo Nardo
- Department of Radiology, University of California Davis, Sacramento, CA
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2
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Levi J, Guglielmetti C, Henrich TJ, Yoon JC, Gokhale PC, Reardon DA, Packiasamy J, Huynh L, Cabrera H, Ruzevich M, Blecha J, Peluso MJ, Huynh TL, An SM, Dornan M, Belanger AP, Nguyen QD, Seo Y, Song H, Chaumeil MM, VanBrocklin HF, Chae HD. [ 18F]F-AraG imaging reveals association between neuroinflammation and brown- and bone marrow adipose tissue. Commun Biol 2024; 7:793. [PMID: 38951146 PMCID: PMC11217368 DOI: 10.1038/s42003-024-06494-x] [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: 01/15/2024] [Accepted: 06/22/2024] [Indexed: 07/03/2024] Open
Abstract
Brown and brown-like adipose tissues have attracted significant attention for their role in metabolism and therapeutic potential in diabetes and obesity. Despite compelling evidence of an interplay between adipocytes and lymphocytes, the involvement of these tissues in immune responses remains largely unexplored. This study explicates a newfound connection between neuroinflammation and brown- and bone marrow adipose tissue. Leveraging the use of [18F]F-AraG, a mitochondrial metabolic tracer capable of tracking activated lymphocytes and adipocytes simultaneously, we demonstrate, in models of glioblastoma and multiple sclerosis, the correlation between intracerebral immune infiltration and changes in brown- and bone marrow adipose tissue. Significantly, we show initial evidence that a neuroinflammation-adipose tissue link may also exist in humans. This study proposes the concept of an intricate immuno-neuro-adipose circuit, and highlights brown- and bone marrow adipose tissue as an intermediary in the communication between the immune and nervous systems. Understanding the interconnectedness within this circuitry may lead to advancements in the treatment and management of various conditions, including cancer, neurodegenerative diseases and metabolic disorders.
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Affiliation(s)
- Jelena Levi
- CellSight Technologies Incorporated, San Francisco, CA, USA.
| | - Caroline Guglielmetti
- Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, USA
| | - John C Yoon
- Division of Endocrinology, Department of Internal Medicine, University of California Davis School of Medicine, Davis, CA, USA
| | | | | | | | - Lyna Huynh
- CellSight Technologies Incorporated, San Francisco, CA, USA
| | - Hilda Cabrera
- CellSight Technologies Incorporated, San Francisco, CA, USA
| | | | - Joseph Blecha
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Michael J Peluso
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Tony L Huynh
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Sung-Min An
- Division of Endocrinology, Department of Internal Medicine, University of California Davis School of Medicine, Davis, CA, USA
| | - Mark Dornan
- Molecular Cancer Imaging Facility, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Anthony P Belanger
- Molecular Cancer Imaging Facility, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Quang-Dé Nguyen
- Lurie Family Imaging Center, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Youngho Seo
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Hong Song
- Department of Radiology, Stanford University, Palo Alto, CA, USA
| | - Myriam M Chaumeil
- Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Henry F VanBrocklin
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Hee-Don Chae
- CellSight Technologies Incorporated, San Francisco, CA, USA
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Slart RHJA, Bengel FM, Akincioglu C, Bourque JM, Chen W, Dweck MR, Hacker M, Malhotra S, Miller EJ, Pelletier-Galarneau M, Packard RRS, Schindler TH, Weinberg RL, Saraste A, Slomka PJ. Total-Body PET/CT Applications in Cardiovascular Diseases: A Perspective Document of the SNMMI Cardiovascular Council. J Nucl Med 2024:jnumed.123.266858. [PMID: 38388512 DOI: 10.2967/jnumed.123.266858] [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: 11/07/2023] [Accepted: 01/11/2024] [Indexed: 02/24/2024] Open
Abstract
Digital PET/CT systems with a long axial field of view have become available and are emerging as the current state of the art. These new camera systems provide wider anatomic coverage, leading to major increases in system sensitivity. Preliminary results have demonstrated improvements in image quality and quantification, as well as substantial advantages in tracer kinetic modeling from dynamic imaging. These systems also potentially allow for low-dose examinations and major reductions in acquisition time. Thereby, they hold great promise to improve PET-based interrogation of cardiac physiology and biology. Additionally, the whole-body coverage enables simultaneous assessment of multiple organs and the large vascular structures of the body, opening new opportunities for imaging systemic mechanisms, disorders, or treatments and their interactions with the cardiovascular system as a whole. The aim of this perspective document is to debate the potential applications, challenges, opportunities, and remaining challenges of applying PET/CT with a long axial field of view to the field of cardiovascular disease.
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Affiliation(s)
- Riemer H J A Slart
- Medical Imaging Centre, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands;
- Biomedical Photonic Imaging Group, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands
| | - Frank M Bengel
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
| | - Cigdem Akincioglu
- Division of Nuclear Medicine, Medical Imaging, Western University, London, Ontario, Canada
| | - Jamieson M Bourque
- Departments of Medicine (Cardiology) and Radiology, University of Virginia, Charlottesville, Virginia
| | - Wengen Chen
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom
| | - Marcus Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | | | - Edward J Miller
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut; Department of Radiology and Biomedical Imaging, Yale School of Medicine, and Department of Internal Medicine, Yale University, New Haven, Connecticut
| | | | - René R S Packard
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, UCLA, Los Angeles, California
| | - Thomas H Schindler
- Mallinckrodt Institute of Radiology, Division of Nuclear Medicine, Cardiovascular Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Richard L Weinberg
- Division of Cardiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Antti Saraste
- Turku PET Centre and Heart Center, Turku University Hospital and University of Turku, Turku, Finland; and
| | - Piotr J Slomka
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
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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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Gu F, Wu Q. Quantitation of dynamic total-body PET imaging: recent developments and future perspectives. Eur J Nucl Med Mol Imaging 2023; 50:3538-3557. [PMID: 37460750 PMCID: PMC10547641 DOI: 10.1007/s00259-023-06299-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 06/05/2023] [Indexed: 10/04/2023]
Abstract
BACKGROUND Positron emission tomography (PET) scanning is an important diagnostic imaging technique used in disease diagnosis, therapy planning, treatment monitoring, and medical research. The standardized uptake value (SUV) obtained at a single time frame has been widely employed in clinical practice. Well beyond this simple static measure, more detailed metabolic information can be recovered from dynamic PET scans, followed by the recovery of arterial input function and application of appropriate tracer kinetic models. Many efforts have been devoted to the development of quantitative techniques over the last couple of decades. CHALLENGES The advent of new-generation total-body PET scanners characterized by ultra-high sensitivity and long axial field of view, i.e., uEXPLORER (United Imaging Healthcare), PennPET Explorer (University of Pennsylvania), and Biograph Vision Quadra (Siemens Healthineers), further stimulates valuable inspiration to derive kinetics for multiple organs simultaneously. But some emerging issues also need to be addressed, e.g., the large-scale data size and organ-specific physiology. The direct implementation of classical methods for total-body PET imaging without proper validation may lead to less accurate results. CONCLUSIONS In this contribution, the published dynamic total-body PET datasets are outlined, and several challenges/opportunities for quantitation of such types of studies are presented. An overview of the basic equation, calculation of input function (based on blood sampling, image, population or mathematical model), and kinetic analysis encompassing parametric (compartmental model, graphical plot and spectral analysis) and non-parametric (B-spline and piece-wise basis elements) approaches is provided. The discussion mainly focuses on the feasibilities, recent developments, and future perspectives of these methodologies for a diverse-tissue environment.
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Affiliation(s)
- Fengyun Gu
- School of Mathematics and Physics, North China Electric Power University, 102206, Beijing, China.
- School of Mathematical Sciences, University College Cork, T12XF62, Cork, Ireland.
| | - Qi Wu
- School of Mathematical Sciences, University College Cork, T12XF62, Cork, Ireland
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Peluso MJ, Ryder D, Flavell R, Wang Y, Levi J, LaFranchi BH, Deveau TM, Buck AM, Munter SE, Asare KA, Aslam M, Koch W, Szabo G, Hoh R, Deswal M, Rodriguez A, Buitrago M, Tai V, Shrestha U, Lu S, Goldberg SA, Dalhuisen T, Durstenfeld MS, Hsue PY, Kelly JD, Kumar N, Martin JN, Gambir A, Somsouk M, Seo Y, Deeks SG, Laszik ZG, VanBrocklin HF, Henrich TJ. Multimodal Molecular Imaging Reveals Tissue-Based T Cell Activation and Viral RNA Persistence for Up to 2 Years Following COVID-19. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.27.23293177. [PMID: 37577714 PMCID: PMC10418298 DOI: 10.1101/2023.07.27.23293177] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
The etiologic mechanisms of post-acute medical morbidities and unexplained symptoms (Long COVID) following SARS-CoV-2 infection are incompletely understood. There is growing evidence that viral persistence and immune dysregulation may play a major role. We performed whole-body positron emission tomography (PET) imaging in a cohort of 24 participants at time points ranging from 27 to 910 days following acute SARS-CoV-2 infection using a novel radiopharmaceutical agent, [18F]F-AraG, a highly selective tracer that allows for anatomical quantitation of activated T lymphocytes. Tracer uptake in the post-acute COVID group, which included those with and without Long COVID symptoms, was significantly higher compared to pre-pandemic controls in many anatomical regions, including the brain stem, spinal cord, bone marrow, nasopharyngeal and hilar lymphoid tissue, cardiopulmonary tissues, and gut wall. Although T cell activation tended to be higher in participants imaged closer to the time of the acute illness, tracer uptake was increased in participants imaged up to 2.5 years following SARS-CoV-2 infection. We observed that T cell activation in spinal cord and gut wall was associated with the presence of Long COVID symptoms. In addition, tracer uptake in lung tissue was higher in those with persistent pulmonary symptoms. Notably, increased T cell activation in these tissues was also observed in many individuals without Long COVID. Given the high [18F]F-AraG uptake detected in the gut, we obtained colorectal tissue for in situ hybridization SARS-CoV-2 RNA and immunohistochemical studies in a subset of participants with Long COVID symptoms. We identified cellular SARS-CoV-2 RNA in rectosigmoid lamina propria tissue in all these participants, ranging from 158 to 676 days following initial COVID-19 illness, suggesting that tissue viral persistence could be associated with long-term immunological perturbations.
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Affiliation(s)
- Michael J. Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Dylan Ryder
- Division of Experimental Medicine, University of California San Francisco
| | - Robert Flavell
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Yingbing Wang
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | | | - Brian H. LaFranchi
- Division of Experimental Medicine, University of California San Francisco
| | - Tyler-Marie Deveau
- Division of Experimental Medicine, University of California San Francisco
| | - Amanda M. Buck
- Division of Experimental Medicine, University of California San Francisco
| | - Sadie E. Munter
- Division of Experimental Medicine, University of California San Francisco
| | - Kofi A. Asare
- Division of Experimental Medicine, University of California San Francisco
| | - Maya Aslam
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Wally Koch
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Gyula Szabo
- Department of Pathology, University of California San Francisco
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Monika Deswal
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Antonio Rodriguez
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Melissa Buitrago
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Viva Tai
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Uttam Shrestha
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Thomas Dalhuisen
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | | | | | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Nitasha Kumar
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | | | - Ma Somsouk
- Division of Gastroenterology, University of California San Francisco
| | - Youngho Seo
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Steven G. Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | | | - Henry F. VanBrocklin
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Timothy J. Henrich
- Division of Experimental Medicine, University of California San Francisco
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