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Chung KJ, Chaudhari AJ, Nardo L, Jones T, Chen MS, Badawi RD, Cherry SR, Wang G. Quantitative Total-Body Imaging of Blood Flow with High Temporal Resolution Early Dynamic 18 F-Fluorodeoxyglucose PET Kinetic Modeling. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.30.24312867. [PMID: 39252929 PMCID: PMC11383455 DOI: 10.1101/2024.08.30.24312867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
Quantitative total-body PET imaging of blood flow can be performed with freely diffusible flow radiotracers such as 15 O-water and 11 C-butanol, but their short half-lives necessitate close access to a cyclotron. Past efforts to measure blood flow with the widely available radiotracer 18 F-fluorodeoxyglucose (FDG) were limited to tissues with high 18 F-FDG extraction fraction. In this study, we developed an early-dynamic 18 F-FDG PET method with high temporal resolution kinetic modeling to assess total-body blood flow based on deriving the vascular transit time of 18 F-FDG and conducted a pilot comparison study against a 11 C-butanol reference. Methods The first two minutes of dynamic PET scans were reconstructed at high temporal resolution (60×1 s, 30×2 s) to resolve the rapid passage of the radiotracer through blood vessels. In contrast to existing methods that use blood-to-tissue transport rate (K 1 ) as a surrogate of blood flow, our method directly estimates blood flow using a distributed kinetic model (adiabatic approximation to the tissue homogeneity model; AATH). To validate our 18 F-FDG measurements of blood flow against a flow radiotracer, we analyzed total-body dynamic PET images of six human participants scanned with both 18 F-FDG and 11 C-butanol. An additional thirty-four total-body dynamic 18 F-FDG PET scans of healthy participants were analyzed for comparison against literature blood flow ranges. Regional blood flow was estimated across the body and total-body parametric imaging of blood flow was conducted for visual assessment. AATH and standard compartment model fitting was compared by the Akaike Information Criterion at different temporal resolutions. Results 18 F-FDG blood flow was in quantitative agreement with flow measured from 11 C-butanol across same-subject regional measurements (Pearson R=0.955, p<0.001; linear regression y=0.973x-0.012), which was visually corroborated by total-body blood flow parametric imaging. Our method resolved a wide range of blood flow values across the body in broad agreement with literature ranges (e.g., healthy cohort average: 0.51±0.12 ml/min/cm 3 in the cerebral cortex and 2.03±0.64 ml/min/cm 3 in the lungs, respectively). High temporal resolution (1 to 2 s) was critical to enabling AATH modeling over standard compartment modeling. Conclusions Total-body blood flow imaging was feasible using early-dynamic 18 F-FDG PET with high-temporal resolution kinetic modeling. Combined with standard 18 F-FDG PET methods, this method may enable efficient single-tracer flow-metabolism imaging, with numerous research and clinical applications in oncology, cardiovascular disease, pain medicine, and neuroscience.
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Chung KJ, Abdelhafez YG, Spencer BA, Jones T, Tran Q, Nardo L, Chen MS, Sarkar S, Medici V, Lyo V, Badawi RD, Cherry SR, Wang G. Quantitative PET imaging and modeling of molecular blood-brain barrier permeability. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.26.24311027. [PMID: 39108503 PMCID: PMC11302722 DOI: 10.1101/2024.07.26.24311027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/12/2024]
Abstract
Blood-brain barrier (BBB) disruption is involved in the pathogenesis and progression of many neurological and systemic diseases. Non-invasive assessment of BBB permeability in humans has mainly been performed with dynamic contrast-enhanced magnetic resonance imaging, evaluating the BBB as a structural barrier. Here, we developed a novel non-invasive positron emission tomography (PET) method in humans to measure the BBB permeability of molecular radiotracers that cross the BBB through different transport mechanisms. Our method uses high-temporal resolution dynamic imaging and kinetic modeling to jointly estimate cerebral blood flow and tracer-specific BBB transport rate from a single dynamic PET scan and measure the molecular permeability-surface area (PS) product of the radiotracer. We show our method can resolve BBB PS across three PET radiotracers with greatly differing permeabilities, measure reductions in BBB PS of 18F-fluorodeoxyglucose (FDG) in healthy aging, and demonstrate a possible brain-body association between decreased FDG BBB PS in patients with metabolic dysfunction-associated steatotic liver inflammation. Our method opens new directions to efficiently study the molecular permeability of the human BBB in vivo using the large catalogue of available molecular PET tracers.
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Affiliation(s)
- Kevin J Chung
- Department of Radiology, University of California Davis Health, Sacramento, CA
| | - Yasser G Abdelhafez
- Department of Radiology, University of California Davis Health, Sacramento, CA
| | - Benjamin A Spencer
- Department of Radiology, University of California Davis Health, Sacramento, CA
| | - Terry Jones
- Department of Radiology, University of California Davis Health, Sacramento, CA
| | - Quyen Tran
- Department of Radiology, University of California Davis Health, Sacramento, CA
| | - Lorenzo Nardo
- Department of Radiology, University of California Davis Health, Sacramento, CA
| | - Moon S Chen
- Department of Internal Medicine, University of California Davis Health, Sacramento, CA
| | - Souvik Sarkar
- Department of Internal Medicine, University of California Davis Health, Sacramento, CA
| | - Valentina Medici
- Department of Internal Medicine, University of California Davis Health, Sacramento, CA
- Division of Gastroenterology and Hepatology, University of California Davis Health, Sacramento, CA
| | - Victoria Lyo
- Department of Surgery, University of California Davis Health, Sacramento, CA
- Center for Alimentary and Metabolic Sciences, University of California Davis Health, Sacramento, CA
| | - Ramsey D Badawi
- Department of Radiology, University of California Davis Health, Sacramento, CA
- Department of Biomedical Engineering, University of California at Davis, Davis, CA
| | - Simon R Cherry
- Department of Biomedical Engineering, University of California at Davis, Davis, CA
- Department of Radiology, University of California Davis Health, Sacramento, CA
| | - Guobao Wang
- Department of Radiology, University of California Davis Health, Sacramento, CA
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3
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Meng X, Kong X, Xia L, Wu R, Zhu H, Yang Z. The Role of Total-Body PET in Drug Development and Evaluation: Status and Outlook. J Nucl Med 2024; 65:46S-53S. [PMID: 38719239 DOI: 10.2967/jnumed.123.266978] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/23/2024] [Indexed: 07/16/2024] Open
Abstract
Total-body PET, an emerging technique, enables high-quality simultaneous total-body dynamic PET acquisition and accurate kinetic analysis. It has the potential to facilitate the study of multiple tracers while minimizing radiation dose and improving tracer-specific imaging. This advancement holds promise for enhancing the development and clinical evaluation of drugs, particularly radiopharmaceuticals. Multiple clinical trials are using a total-body PET scanner to explore existing and innovative radiopharmaceuticals. However, challenges persist, along with the opportunities, with regard to the use of total-body PET in drug development and evaluation. Specifically, considerations relate to the role of total-body PET in clinical pharmacologic evaluations and its integration into the theranostic paradigm. In this review, state-of-the-art total-body PET and its potential roles in pharmaceutical research are explored.
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Affiliation(s)
- Xiangxi Meng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), National Medical Products Association, Key Laboratory for Research and Evaluation of Radiopharmaceuticals, National Medical Products Association, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China; and
| | - Xiangxing Kong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), National Medical Products Association, Key Laboratory for Research and Evaluation of Radiopharmaceuticals, National Medical Products Association, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China; and
| | - Lei Xia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), National Medical Products Association, Key Laboratory for Research and Evaluation of Radiopharmaceuticals, National Medical Products Association, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China; and
| | - Runze Wu
- Beijing United Imaging Research Institute of Intelligent Imaging, Beijing, China
| | - Hua Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), National Medical Products Association, Key Laboratory for Research and Evaluation of Radiopharmaceuticals, National Medical Products Association, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China; and
| | - Zhi Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), National Medical Products Association, Key Laboratory for Research and Evaluation of Radiopharmaceuticals, National Medical Products Association, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China; and
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4
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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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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: 0] [Impact Index Per Article: 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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Mehta NH, Wang X, Keil SA, Xi K, Zhou L, Lee K, Tan W, Spector E, Goldan A, Kelly J, Karakatsanis NA, Mozley PD, Nehmeh S, Chazen JL, Morin S, Babich J, Ivanidze J, Pahlajani S, Tanzi EB, Saint-Louis L, Butler T, Chen K, Rusinek H, Carare RO, Li Y, Chiang GC, de Leon MJ. [1- 11C]-Butanol Positron Emission Tomography reveals an impaired brain to nasal turbinates pathway in aging amyloid positive subjects. Fluids Barriers CNS 2024; 21:30. [PMID: 38566110 PMCID: PMC10985958 DOI: 10.1186/s12987-024-00530-y] [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: 07/22/2023] [Accepted: 03/11/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Reduced clearance of cerebrospinal fluid (CSF) has been suggested as a pathological feature of Alzheimer's disease (AD). With extensive documentation in non-human mammals and contradictory human neuroimaging data it remains unknown whether the nasal mucosa is a CSF drainage site in humans. Here, we used dynamic PET with [1-11C]-Butanol, a highly permeable radiotracer with no appreciable brain binding, to test the hypothesis that tracer drainage from the nasal pathway reflects CSF drainage from brain. As a test of the hypothesis, we examined whether brain and nasal fluid drainage times were correlated and affected by brain amyloid. METHODS 24 cognitively normal subjects (≥ 65 years) were dynamically PET imaged for 60 min. using [1-11C]-Butanol. Imaging with either [11C]-PiB or [18F]-FBB identified 8 amyloid PET positive (Aβ+) and 16 Aβ- subjects. MRI-determined regions of interest (ROI) included: the carotid artery, the lateral orbitofrontal (LOF) brain, the cribriform plate, and an All-turbinate region comprised of the superior, middle, and inferior turbinates. The bilateral temporalis muscle and jugular veins served as control regions. Regional time-activity were used to model tracer influx, egress, and AUC. RESULTS LOF and All-turbinate 60 min AUC were positively associated, thus suggesting a connection between the brain and the nose. Further, the Aβ+ subgroup demonstrated impaired tracer kinetics, marked by reduced tracer influx and slower egress. CONCLUSION The data show that tracer kinetics for brain and nasal turbinates are related to each other and both reflect the amyloid status of the brain. As such, these data add to evidence that the nasal pathway is a potential CSF drainage site in humans. These data warrant further investigation of brain and nasal contributions to protein clearance in neurodegenerative disease.
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Affiliation(s)
- Neel H Mehta
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
- Harvard Medical School, Boston, MA, USA
| | - Xiuyuan Wang
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
| | - Samantha A Keil
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
| | - Ke Xi
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
| | - Liangdong Zhou
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
| | - Kevin Lee
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
- Weill Cornell Medicine, School of Medicine New York, New York, NY, USA
| | - Wanbin Tan
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
| | - Edward Spector
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
- University of Michigan, Ann Arbor, MI, USA
| | - Amirhossein Goldan
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - James Kelly
- Department of Radiology, Molecule Imaging Innovations Institute, Weill Cornell Medicine, New York, NY, USA
| | | | - P David Mozley
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
- Radiopharm Theranostics, New York, NY, USA
| | - Sadek Nehmeh
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - J Levi Chazen
- Department of Radiology, Hospital for Special Surgery, New York, NY, USA
| | - Simon Morin
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | | | - Jana Ivanidze
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Silky Pahlajani
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
| | - Emily B Tanzi
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
| | | | - Tracy Butler
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
| | - Kewei Chen
- College of Health Solutions, Arizona State University, Downtown Phoenix Campus, Arizona, USA
| | - Henry Rusinek
- Department of Radiology, NYU Langone Health, New York, NY, USA
| | - Roxana O Carare
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Yi Li
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
| | - Gloria C Chiang
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, USA
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Mony J de Leon
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, 407 East 61 Street, 10065, New York, NY, 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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