Total-Body PET: Maximizing Sensitivity to Create New Opportunities for Clinical Research and Patient Care
Open accessAbstract
PET is widely considered the most sensitive technique available for noninvasively studying physiology, metabolism, and molecular pathways in the living human being. However, the utility of PET, being a photon-deficient modality, remains constrained by factors including low signal-to-noise ratio, long imaging times, and concerns about radiation dose. Two developments offer the potential to dramatically increase the effective sensitivity of PET. First by increasing the geometric coverage to encompass the entire body, sensitivity can be increased by a factor of about 40 for total-body imaging or a factor of about 4-5 for imaging a single organ such as the brain or heart. The world's first total-body PET/CT scanner is currently under construction to demonstrate how this step change in sensitivity affects the way PET is used both in clinical research and in patient care. Second, there is the future prospect of significant improvements in timing resolution that could lead to further effective sensitivity gains. When combined with total-body PET, this could produce overall sensitivity gains of more than 2 orders of magnitude compared with existing state-of-the-art systems. In this article, we discuss the benefits of increasing body coverage, describe our efforts to develop a first-generation total-body PET/CT scanner, discuss selected application areas for total-body PET, and project the impact of further improvements in time-of-flight PET.
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The increase in effective sensitivity enabled by modern SiPM could be translated into an equivalent reduction in injected activity or acquisition time while retaining equal image quality as PMT.
“The increase in effective sensitivity enabled by modern SiPM could be translated into an equivalent reduction in injected activity or acquisition time while retaining equal image quality as PMT [49,51].”
From Influences on PET Quantification and Interpretation (2022) · cites this paper as [51]
The Impact section says increased sensitivity can reduce imaging time or injected activity while maintaining the current signal-to-noise ratio. But it attributes the predicted 40-fold gain to total-body PET, not to modern SiPMs relative to PMTs; the scanner-design section mentions silicon photomultipliers without making that comparison. Page numbers were not provided in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredA gain in counts from improved timing resolution could translate into an SNR gain equivalent to the square root of the relative improvement in timing resolution.
“Such a gain in counts could translate into an SNR gain that is equivalent to the square root of the relative improvement in timing resolution [49,51].”
From Influences on PET Quantification and Interpretation (2022) · cites this paper as [51]
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Cites
Ford, A. C., Quigley, E. M. M., Lacy, B. E., Lembo, A. J., Saito, Y. A., Schiller, L. R., Soffer, E. E., Spiegel, B. M. R., & Moayyedi, P. (2014) · American Journal of Gastroenterology · doi:10.1038/ajg.2014.148 · Cited by 405 · see citing works
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Research works printed but not linked: 53
- Poon JK, Dahlbom ML, Moses WW, et al. Optimal whole-body PET scanner configurations for different volumes of LSO scintillator: a simulation study. Phys Med Biol. 2012;57:4077-4094.
- Poon JK. The Performance Limits of Long Axial Field of View PET Scanners [thesis]. Davis, CA: University of California, Davis; 2013.
- Lammertsma AA. Forward to the past: the case for quantitative PET imaging. J Nucl Med. 2017;58:1019-1024.
- Karakatsanis NA, Lodge MA, Tahari AK, Zhou Y, Wahl RL, Rahmim A. Dy- namic whole-body PET parametric imaging: I. Concept, acquisition protocol optimization and clinical application. Phys Med Biol. 2013;58:7391-7418.
- Ho-Shon K, Feng DG, Hawkins RA, Meikle S, Fulham MJ, Li XJ. Optimized sampling and parameter estimation for quantification in whole body PET. IEEE Trans Biomed Eng. 1996;43:1021-1028.
- Eriksson L, Townsend DW, Conti M, et al. Potentials for large axial field of view positron camera systems. In: IEEE Nuclear Science Symposium and Medical Imaging Conference (2008 NSS/MIC). Piscataway, NJ: IEEE; 2008: 1632-1636.
- Couceiro M, Ferreira NC, Fonte P. Sensitivity assessment of wide axial field of view PET systems via Monte Carlo simulations of NEMA-like measurements. Nucl Instrum Meth A. 2007;580:485-488.
- Cherry SR. The 2006 Henry N. Wagner lecture: of mice and men (and positrons)-advances in PET imaging technology. J Nucl Med. 2006;47: 1735-1745.
- Crosetto DB. The 3-D complete body screening (3D-CBS) features and imple- mentation. In: IEEE Nuclear Science Symposium and Medical Imaging Confer- ence (2003 NSS/MIC). Piscataway, NJ: IEEE;2004:2415-2419.
- Badawi RD, Kohlmyer SG, Harrison RL, Vannoy SD, Lewellen TK. The effect of camera geometry on singles flux, scatter fraction and trues and randoms sensitivity for cylindrical 3D PET: a simulation study. IEEE Trans Nucl Sci. 2000;47:1228-1232.
- Wong WH, Zhang YX, Liu ST, et al. The initial design and feasibility study of an affordable high-resolution 100-cm long PET. In: IEEE Nuclear Science Sympo- sium and Medical Imaging Conference (2007 NSS/MIC). Piscataway, NJ: IEEE; 2007:4117-4122.
- Watanabe M, Shimizu K, Omura T, et al. A high-throughput whole-body PET scanner using flat panel PS-PMTs. IEEE Trans Nucl Sci. 2004;51:796-800.
- Surti S, Werner ME, Karp JS. Study of PET scanner designs using clinical metrics to optimize the scanner axial FOV and crystal thickness. Phys Med Biol. 2013;58:3995-4012.
- MacDonald LR, Harrison RL, Alessio AM, Hunter WCJ, Lewellen TK, Kinahan PE. Effective count rates for PET scanners with reduced and extended axial field of view. Phys Med Biol. 2011;56:3629-3643.
- Eriksson L, Townsend D, Conti M, et al. An investigation of sensitivity limits in PET scanners. Nucl Instrum Meth A. 2007;580:836-842.
- Eriksson L, Conti M, Melcher CL, et al. Towards sub-minute PET examination times. IEEE Trans Nucl Sci. 2011;58:76-81.
- Surti S, Karp JS. Impact of detector design on imaging performance of a long axial field-of-view, whole-body PET scanner. Phys Med Biol. 2015;60:5343- 5358.
- Schmall JP, Karp JS, Werner M, Surti S. Parallax error in long-axial field-of-view PET scanners: a simulation study. Phys Med Biol. 2016;61:5443-5455.
- Kalender WA. Dose in x-ray computed tomography. Phys Med Biol. 2014;59: R129-R150.
- Rothfuss H, Panin V, Moor A, et al. LSO background radiation as a transmission source using time of flight. Phys Med Biol. 2014;59:5483-5500.
- Mollet P, Keereman V, Vandenberghe S. Experimental evaluation of simulta- neous emission and transmission imaging using TOF information. In: IEEE Nuclear Science Symposium and Medical Imaging Conference (2011 NSS/ MIC). Piscataway, NJ: IEEE;2011:2976-2980.
- Attariwala R, Picker W. Whole body MRI: improved lesion detection and char- acterization with diffusion weighted techniques. J Magn Reson Imaging. 2013; 38:253-268.
- Jakoby BW, Bercier Y, Conti M, Casey ME, Bendriem B, Townsend DW. Phys- ical and clinical performance of the mCT time-of-flight PET/CT scanner. Phys Med Biol. 2011;56:2375-2389.
- Somlai-Schweiger I, Schneider FR, Ziegler SI. Performance analysis of digital silicon photomultipliers for PET. J Instrum. 2015;10:P05005.
- Degenhardt C, Rodrigues P, Trindade A, et al. Performance evaluation of a prototype positron emission tomography scanner using digital photon counters (DPC). In: IEEE Nuclear Science Symposium and Medical Imaging Conference Record (2012 NSS/MIC). Piscataway, NJ: IEEE;2012:2820-2824.
- Kubota K, Itoh M, Ozaki K, et al. Advantage of delayed whole-body FDG-PET imaging for tumour detection. Eur J Nucl Med. 2001;28:696-703.
- Lodge MA, Lucas JD, Marsden PK, Cronin BF, O'Doherty MJ, Smith MA. A PET study of 18 FDG uptake in soft tissue masses. Eur J Nucl Med. 1999;26:22- 30.
- Price PM, Badawi RD, Cherry SR, Jones T. Ultra staging to unmask the pre- scribing of adjuvant therapy in cancer patients: the future opportunity to image micrometastases using total-body 18 F-FDG PET scanning. J Nucl Med. 2014; 55:696-697.
- Wu C, Li F, Niu G, Chen XY. PET imaging of inflammation biomarkers. Thera- nostics. 2013;3:448-466.
- Santangelo PJ, Rogers KA, Zurla C, et al. Whole-body immunoPET reveals active SIV dynamics in viremic and antiretroviral therapy-treated macaques. Nat Methods. 2015;12:427-432.
- Klingelhoefer L, Reichmann H. Pathogenesis of Parkinson disease: the gut-brain axis and environmental factors. Nat Rev Neurol. 2015;11:625-636.
- Møller S, Bernardi M. Interactions of the heart and the liver. Eur Heart J. 2013;34:2804-2811.
- Dubroff JG, Doot RK, Falcone M, et al. Decreased nicotinic receptor availability in smokers with slow rates of nicotine metabolism. J Nucl Med. 2015;56:1724- 1729.
- Bergstrom M. The use of microdosing in the drug development of small organic and protein therapeutics. J Nucl Med. 2017;58:1188-1195.
- Kircher MF, Gambhir SS, Grimm J. Noninvasive cell-tracking methods. Nat Rev Clin Oncol. 2011;8:677-688.
- Adonai N, Nguyen KN, Walsh J, et al. Ex vivo cell labeling with Cu-64- pyruvaldehyde-bis(N-4-methylthiosemicarbazone) for imaging cell trafficking in mice with positron-emission tomography. Proc Natl Acad Sci USA. 2002;99:3030-3035.
- Bansal A, Pandey MK, Demirhan YE, et al. Novel Zr-89 cell labeling approach for PET-based cell trafficking studies. EJNMMI Res. 2015;5:19.
- Charoenphun P, Meszaros LK, Chuamsaamarkkee K, et al. [ 89 Zr]oxinate 4 for long-term in vivo cell tracking by positron emission tomography. Eur J Nucl Med Mol Imaging. 2015;42:278-287.
- Eyal S, Chung FS, Muzi M, et al. Simultaneous PET imaging of P-glycoprotein inhibition in multiple tissues in the pregnant nonhuman primate. J Nucl Med. 2009;50:798-806.
- Berglund L, Halldin C, Lilja A, et al. C-11 methionine kinetics in pregnant rhesus-monkeys studied by positron emission tomography: a new approach to fetomaternal metabolism. Acta Obstet Gynecol Scand. 1984;63:641- 645.
- Glenn OA. MR imaging of the fetal brain. Pediatr Radiol. 2010;40:68-81.
- Griffiths PD, Bradburn M, Campbell MJ, et al. Use of MRI in the diagnosis of fetal brain abnormalities in utero (MERIDIAN): a multicentre, prospective co- hort study. Lancet. 2017;389:538-546.
- Jones T, Budinger TF. The potential for low-dose functional studies in maternal- fetal medicine using PET/MR imaging. J Nucl Med. 2013;54:2016-2017.
- Phelps ME. PET: Molecular Imaging and Its Biological Applications. New York, NY: Springer; 2004.
- Zhu L, Ploessl K, Zhou R, Mankoff D, Kung HF. Metabolic imaging of gluta- mine in cancer. J Nucl Med. 2017;58:533-537.
- Nehmeh SA, Erdi YE, Meirelles GSP, et al. Deep-inspiration breath-hold PET/ CT of the thorax. J Nucl Med. 2007;48:22-26.
- Baum RP, Kulkarni HR. THERANOSTICS: from molecular imaging using Ga- 68 labeled tracers and PET/CT to personalized radionuclide therapy-the Bad Berka experience. Theranostics. 2012;2:437-447.
- Jadvar H. Targeted radionuclide therapy: an evolution toward precision cancer treatment. AJR. 2017;209:277-288.
- Gundacker S, Acerbi F, Auffray E, et al. State of the art timing in TOF-PET detectors with LuAG, GAGG and L(Y)SO scintillators of various sizes coupled to FBK-SiPMs. J Instrum. 2016;11:P08008.
- Gundacker S, Auffray E, Pauwels K, Lecoq P. Measurement of intrinsic rise times for various L(Y) SO and LuAG scintillators with a general study of prompt photons to achieve 10 ps in TOF-PET. Phys Med Biol. 2016;61:2802-2837.
- Lecoq P, Korzhik M, Vasiliev A. Can transient phenomena help improving time resolution in scintillators? IEEE Trans Nucl Sci. 2014;61:229-234.
- Brunner SE, Schaart DR. BGO as a hybrid scintillator/Cherenkov radiator for cost-effective time-of-flight PET. Phys Med Biol. 2017;62:4421-4439.
- Kwon SI, Gola A, Ferri A, Piemonte C, Cherry SR. Bismuth germanate coupled to near ultraviolet silicon photomultipliers for time-of-flight PET. Phys Med Biol. 2016;61:L38-L47.
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“Sekine et al. used a randomized protocol to investigate the potential to reduce injected [18F]FDG activity required (or acquisition time) through the use of an SiPM TOF PET/MRI instead of a PMT TOF PET/CT in 74 patients with different types of malignant tumors.”
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- Authors
- Cherry, S. R., Jones, T., Karp, J. S., Qi, J., Moses, W. W., & Badawi, R. D.
- Affiliations
- University of California Davis Medical Center (US)
- University of Pennsylvania (US)
- University of California, Davis (US)
- Lawrence Berkeley National Laboratory (US)
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2017-09-21
- Volume
- 59
- Issue
- 1
- Pages
- 3-12
- ISSN
- 0161-5505 (ISSN-L)
- 2159-662X
- PMC
- PMC5750522
- OpenAlex
- W2758460516
- Cited by
- 763
- References
- 1
- Citations by year
- 2026: 77 · 2025: 86 · 2024: 106 · 2023: 105 · 2022: 83 · 2021: 104 · 2020: 113 · 2019: 61 · 2018: 24 · 2017: 2
- FWCI
- 41.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Nuclear Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Siemens Healthineers
- National Institutes of Health (P51OD011107)
- University of California, Davis
- National Cancer Institute (R01CA206187)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Physical Sciences › Physics and Astronomy › Radiation › Radiation Detection and Scintillator Technologies
- Keywords
- total-body PET, PET/CT scanner, imaging sensitivity, timing resolution, time-of-flight PET, radiation dose, signal-to-noise ratio
- MeSH terms
- Patient Care, Humans, Research, Positron-Emission Tomography, Whole Body Imaging, Multimodal Imaging
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