Skip to main content
Top
Published in: European Journal of Nuclear Medicine and Molecular Imaging 9/2021

Open Access 01-08-2021 | Controversies - For

New PET technologies – embracing progress and pushing the limits

Authors: Nicolas Aide, Charline Lasnon, Adam Kesner, Craig S Levin, Irene Buvat, Andrei Iagaru, Ken Hermann, Ramsey D Badawi, Simon R Cherry, Kevin M Bradley, Daniel R McGowan

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 9/2021

Login to get access

Excerpt

Thanks to companies’ research and development processes, frequently involving fruitful partnerships with academic centres, and what could be acknowledged as welcome competition between PET vendors, new PET hardware and software technologies are regularly innovated and released as clinic-ready products. While some of these technological advancements have gained immediate acceptance from the nuclear medicine and medical physics communities, such as time of flight (ToF), others have not found support for translation. The case of point-spread-function (PSF) modelling within tomographic reconstruction, though unfortunately not unique, is a good representative example of an advanced reconstruction algorithm that has faced controversies, especially in the field of lymphoma imaging, despite numerous studies evaluating its diagnostic performance. …
Literature
1.
go back to reference Rogasch JMM, Boellaard R, Pike L, Borchmann P, Johnson P, Wolf J, Barrington SF, Kobe C. Moving the goalposts while scoring-the dilemma posed by new PET technologies. Eur J Nucl Med Mol Imaging. 2021. https://doi.org/10.1007/s00259-021-05403-2. Rogasch JMM, Boellaard R, Pike L, Borchmann P, Johnson P, Wolf J, Barrington SF, Kobe C. Moving the goalposts while scoring-the dilemma posed by new PET technologies. Eur J Nucl Med Mol Imaging. 2021. https://​doi.​org/​10.​1007/​s00259-021-05403-2.​
4.
go back to reference Hotta M, Minamimoto R, Yano H, Gohda Y, Shuno Y. Diagnostic performance of (18)F-FDG PET/CT using point spread function reconstruction on initial staging of rectal cancer: a comparison study with conventional PET/CT and pelvic MRI. Cancer imaging : the official publication of the International Cancer Imaging Society. 2018;18:4. https://doi.org/10.1186/s40644-018-0137-9.CrossRef Hotta M, Minamimoto R, Yano H, Gohda Y, Shuno Y. Diagnostic performance of (18)F-FDG PET/CT using point spread function reconstruction on initial staging of rectal cancer: a comparison study with conventional PET/CT and pelvic MRI. Cancer imaging : the official publication of the International Cancer Imaging Society. 2018;18:4. https://​doi.​org/​10.​1186/​s40644-018-0137-9.CrossRef
17.
go back to reference Lantos J, Mittra ES, Levin CS, Iagaru A. Standard OSEM vs regularized PET image reconstruction: qualitative and quantitative comparison using phantom data and various clinical radiopharmaceuticals. American journal of nuclear medicine and molecular imaging. 2018;8:110–8.PubMedPubMedCentral Lantos J, Mittra ES, Levin CS, Iagaru A. Standard OSEM vs regularized PET image reconstruction: qualitative and quantitative comparison using phantom data and various clinical radiopharmaceuticals. American journal of nuclear medicine and molecular imaging. 2018;8:110–8.PubMedPubMedCentral
26.
go back to reference Rowley LM, Bradley KM, Boardman P, Hallam A, McGowan DR. Optimization of image reconstruction for (90)Y selective internal radiotherapy on a lutetium yttrium Orthosilicate PET/CT system using a Bayesian penalized likelihood reconstruction algorithm. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2017;58:658–64. https://doi.org/10.2967/jnumed.116.176552.CrossRef Rowley LM, Bradley KM, Boardman P, Hallam A, McGowan DR. Optimization of image reconstruction for (90)Y selective internal radiotherapy on a lutetium yttrium Orthosilicate PET/CT system using a Bayesian penalized likelihood reconstruction algorithm. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2017;58:658–64. https://​doi.​org/​10.​2967/​jnumed.​116.​176552.CrossRef
32.
go back to reference O’ Doherty J, McGowan DR, Abreu C, Barrington S. Effect of Bayesian-penalized likelihood reconstruction on [13N]-NH3 rest perfusion quantification. Journal of nuclear cardiology: official publication of the American Society of Nuclear Cardiology. 2017;24:282–90. https://doi.org/10.1007/s12350-016-0554-8. O’ Doherty J, McGowan DR, Abreu C, Barrington S. Effect of Bayesian-penalized likelihood reconstruction on [13N]-NH3 rest perfusion quantification. Journal of nuclear cardiology: official publication of the American Society of Nuclear Cardiology. 2017;24:282–90. https://​doi.​org/​10.​1007/​s12350-016-0554-8.
37.
go back to reference Teoh EJ, McGowan DR, Macpherson RE, Bradley KM, Gleeson FV. Phantom and clinical evaluation of the Bayesian penalized likelihood reconstruction algorithm Q.Clear on an LYSO PET/CT system. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2015;56:1447–52. https://doi.org/10.2967/jnumed.115.159301.CrossRef Teoh EJ, McGowan DR, Macpherson RE, Bradley KM, Gleeson FV. Phantom and clinical evaluation of the Bayesian penalized likelihood reconstruction algorithm Q.Clear on an LYSO PET/CT system. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2015;56:1447–52. https://​doi.​org/​10.​2967/​jnumed.​115.​159301.CrossRef
39.
41.
go back to reference Park S, Hatami N, Baratto L, Yohannan T, Davidzon G, Iagaru A. J Nucl Med. 2018; 59 (supplement 1):431. Park S, Hatami N, Baratto L, Yohannan T, Davidzon G, Iagaru A. J Nucl Med. 2018; 59 (supplement 1):431.
46.
48.
go back to reference Lassen ML, Beyer T, Berger A, Beitzke D, Rasul S, Büther F, et al. Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology. 2020;27:2216–30. https://doi.org/10.1007/s12350-019-01613-2.CrossRef Lassen ML, Beyer T, Berger A, Beitzke D, Rasul S, Büther F, et al. Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology. 2020;27:2216–30. https://​doi.​org/​10.​1007/​s12350-019-01613-2.CrossRef
56.
62.
go back to reference Beckford Vera D, Schulte B, Henrich T, Flavell R, Seo Y, Abdelhafez Y, et al. J Nucl Med. 2020;61 (supplement 1):545. Beckford Vera D, Schulte B, Henrich T, Flavell R, Seo Y, Abdelhafez Y, et al. J Nucl Med. 2020;61 (supplement 1):545.
69.
go back to reference Capobianco N, Meignan M, Cottereau AS, Vercellino L, Sibille L, Spottiswoode B, et al. Deep-learning (18)F-FDG uptake classification enables total metabolic tumor volume estimation in diffuse large B-cell lymphoma. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2021;62:30–6. https://doi.org/10.2967/jnumed.120.242412.CrossRef Capobianco N, Meignan M, Cottereau AS, Vercellino L, Sibille L, Spottiswoode B, et al. Deep-learning (18)F-FDG uptake classification enables total metabolic tumor volume estimation in diffuse large B-cell lymphoma. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2021;62:30–6. https://​doi.​org/​10.​2967/​jnumed.​120.​242412.CrossRef
71.
go back to reference Mehranian A, Wollenweber SD, Walker MD, Bradley KM, Su K, Johnsen R, et al. Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise. Eur J Nucl Med Mol Imaging. 2021; under revision. Mehranian A, Wollenweber SD, Walker MD, Bradley KM, Su K, Johnsen R, et al. Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise. Eur J Nucl Med Mol Imaging. 2021; under revision.
72.
go back to reference Alberts I, Hunermund JN, Prenosil G, Mingels C, Bohn KP, Viscione M, et al. Clinical performance of long axial field of view PET/CT: a head-to-head intra-individual comparison of the biograph vision Quadra with the biograph vision PET/CT. Eur J Nucl Med Mol Imaging. 2021. https://doi.org/10.1007/s00259-021-05282-7. Alberts I, Hunermund JN, Prenosil G, Mingels C, Bohn KP, Viscione M, et al. Clinical performance of long axial field of view PET/CT: a head-to-head intra-individual comparison of the biograph vision Quadra with the biograph vision PET/CT. Eur J Nucl Med Mol Imaging. 2021. https://​doi.​org/​10.​1007/​s00259-021-05282-7.
Metadata
Title
New PET technologies – embracing progress and pushing the limits
Authors
Nicolas Aide
Charline Lasnon
Adam Kesner
Craig S Levin
Irene Buvat
Andrei Iagaru
Ken Hermann
Ramsey D Badawi
Simon R Cherry
Kevin M Bradley
Daniel R McGowan
Publication date
01-08-2021
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Nuclear Medicine and Molecular Imaging / Issue 9/2021
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-021-05390-4

Other articles of this Issue 9/2021

European Journal of Nuclear Medicine and Molecular Imaging 9/2021 Go to the issue