Literature DB >> 32303786

PET imaging of COVID-19: the target and the number.

E Guedj1,2,3, A Verger4,5, S Cammilleri6,7,8.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32303786      PMCID: PMC7163172          DOI: 10.1007/s00259-020-04820-z

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


× No keyword cloud information.
In the context of COVID-19 worldwide outbreak, first reports are being published on the potential value of PET imaging. A total of 5 highly suspected or confirmed COVID-19 cases explored with 18F-FDG PET have been so far described by Qin et al. [1] and Zou and Zhu [2], at the diagnostic step, showing lung hypermetabolic pulmonary ground glass opacities with low-dose CT correspondence, frequently associated to lymph nodes hypermetabolism. More broadly, Deng et al. [3] also argue for the possible 18F-FDG PET utility, as a sensitive tool to detect and monitor inflammatory diseases, such as viral pneumonia, monitor disease progression, and treatment outcomes, according to the major goals of precision medicine in which PET imaging is well-known to be crucially involved [4]. On the opposite, Joob and Wiwanitkit have recalled that 18F-FDG PET is still not recommended in infectious pneumonia, and especially warned of the risk of disease spreading in PET departments [5]. Besides these justified arguments, on one hand, the potential interest of PET imaging to better understand and characterize the disease, especially perhaps between the infectious and immune phases of the disease [6], with possibly also the interest of the targeted development of ImmunoPET in this indication [7], and on the other hand, the genuine risk of viral propagation, the PET exploration of suspected or positive COVID-19 cases is more simply today unrealistic because of the number of concerned patients. For example, and while the epidemic peak is still supposed not to be reached, 2365 patients have been newly hospitalized in France with a COVID-19 confirmed diagnosis on the single day of March, 26th 2020 (https://www.gouvernement.fr/info-coronavirus/carte-et-donnees), while our national PET capacity is currently estimated to approximately 2000 exams per day (https://www.sfmn.org/drive/SECRETARIAT%20GENERAL/ENQUETE_ANNUELLE/EnqueteNationale2019_publicWeb.pdf). We have also to note that these 18F-FDG PET exams are associated with more complex logistic and long procedures, in particular for the disinfection between patients. Above all, the feasibility issue has to critically integrate the necessary continuation of management of non-COVID-19 diseases with explorations that cannot be canceled or delayed without causing a loss of chance for the patients, both for acute and chronic diseases, and especially for cancer diagnosis and evaluation. In this line, targeted explorations based on precision medicine seem hardly compatible with mass exploration of numerous patients without delay and in a very short time period. Besides cutting-edge PET investigations currently applied on selected patients and on specific indications, this contradiction highlights the further need of development of light PET protocols as previously developed in radiology for today the very useful low-dose thoracic CT [8], allowing broader exploration availability with shorter procedures for acquisition duration and perhaps also for the uptake period, but probably by preserving the whole-body exploration to better characterize the extension of the disease and its prognosis. New technological achievements based on ultra-low dose whole-body PET instrumentation [9] combined with deep neural networks for reconstruction including generative adversarial networks [10, 11] constitute a great opportunity for such developments which need to be encouraged, with also ultimately possible larger applications in other contexts for example for cancer screening [12].
  12 in total

Review 1.  Recent Advances and Future Progress in PET Instrumentation.

Authors:  Piotr J Slomka; Tinsu Pan; Guido Germano
Journal:  Semin Nucl Med       Date:  2016-01       Impact factor: 4.446

2.  Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss.

Authors:  Jiahong Ouyang; Kevin T Chen; Enhao Gong; John Pauly; Greg Zaharchuk
Journal:  Med Phys       Date:  2019-06-17       Impact factor: 4.071

3.  Automated detection of lung cancer at ultralow dose PET/CT by deep neural networks - Initial results.

Authors:  Moritz Schwyzer; Daniela A Ferraro; Urs J Muehlematter; Alessandra Curioni-Fontecedro; Martin W Huellner; Gustav K von Schulthess; Philipp A Kaufmann; Irene A Burger; Michael Messerli
Journal:  Lung Cancer       Date:  2018-11-03       Impact factor: 5.705

4.  18F-FDG PET/CT and COVID-19.

Authors:  Beuy Joob; Viroj Wiwanitkit
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-03-12       Impact factor: 9.236

Review 5.  Understanding SARS-CoV-2-Mediated Inflammatory Responses: From Mechanisms to Potential Therapeutic Tools.

Authors:  Yajing Fu; Yuanxiong Cheng; Yuntao Wu
Journal:  Virol Sin       Date:  2020-03-03       Impact factor: 4.327

6.  FDG PET/CT of COVID-19.

Authors:  Sijuan Zou; Xiaohua Zhu
Journal:  Radiology       Date:  2020-03-06       Impact factor: 11.105

Review 7.  Antibody Fragment and Affibody ImmunoPET Imaging Agents: Radiolabelling Strategies and Applications.

Authors:  Ruisi Fu; Laurence Carroll; Gokhan Yahioglu; Eric O Aboagye; Philip W Miller
Journal:  ChemMedChem       Date:  2018-11-15       Impact factor: 3.466

8.  The potential added value of FDG PET/CT for COVID-19 pneumonia.

Authors:  Yan Deng; Lei Lei; Yue Chen; Wei Zhang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-03-21       Impact factor: 9.236

9.  18F-FDG PET/CT findings of COVID-19: a series of four highly suspected cases.

Authors:  Chunxia Qin; Fang Liu; Tzu-Chen Yen; Xiaoli Lan
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-02-22       Impact factor: 9.236

10.  Recommendation of low-dose CT in the detection and management of COVID-2019.

Authors:  Zhen Kang; Xu Li; Shuchang Zhou
Journal:  Eur Radiol       Date:  2020-03-19       Impact factor: 5.315

View more
  16 in total

1.  18F-FDG brain PET hypometabolism in post-SARS-CoV-2 infection: substrate for persistent/delayed disorders?

Authors:  E Guedj; M Million; P Dudouet; H Tissot-Dupont; F Bregeon; S Cammilleri; D Raoult
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-07-30       Impact factor: 9.236

2.  Are disease-related pulmonary perfusion abnormalities detectable in COVID-19 patients? Suspicious findings in a lung perfusion SPECT performed for ruling out classical pulmonary embolism.

Authors:  Roberto Sciagrà; Federica Rubino; Danilo Malandrino; Nicoletta Bernardeschi; Alberto Moggi Pignone; Andrea Berni
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-05-26       Impact factor: 9.236

3.  Incidental SARS-CoV-2-related findings in asymptomatic patients in [18F]-FDG-PET/CT-potential insights.

Authors:  Ian Alberts; Bernd Vollnberg; Christos Sachpekidis; Clemens Mingels; Sabine Weidner; Ali Afshar-Oromieh; Axel Rominger
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-05-22       Impact factor: 9.236

4.  18F-FDG brain PET hypometabolism in patients with long COVID.

Authors:  E Guedj; J Y Campion; P Dudouet; E Kaphan; F Bregeon; H Tissot-Dupont; S Guis; F Barthelemy; P Habert; M Ceccaldi; M Million; D Raoult; S Cammilleri; C Eldin
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-01-26       Impact factor: 9.236

Review 5.  Medical imaging and computational image analysis in COVID-19 diagnosis: A review.

Authors:  Shahabedin Nabavi; Azar Ejmalian; Mohsen Ebrahimi Moghaddam; Ahmad Ali Abin; Alejandro F Frangi; Mohammad Mohammadi; Hamidreza Saligheh Rad
Journal:  Comput Biol Med       Date:  2021-06-23       Impact factor: 6.698

6.  Clinical characterization of dysautonomia in long COVID-19 patients.

Authors:  Nicolas Barizien; Morgan Le Guen; Stéphanie Russel; Pauline Touche; Florent Huang; Alexandre Vallée
Journal:  Sci Rep       Date:  2021-07-07       Impact factor: 4.379

7.  Impact of the COVID-19 pandemic in nuclear medicine departments: preliminary report of the first international survey.

Authors:  Salvatore Annunziata; Matteo Bauckneht; Domenico Albano; Giovanni Argiroffi; Diletta Calabrò; Elisabetta Abenavoli; Flavia Linguanti; Riccardo Laudicella
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-05-27       Impact factor: 9.236

8.  COVID-19; beyond the obvious: how do we move forward?

Authors:  Afshin Nasoodi; Ciaran Johnston; Francesco Fraioli
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-06-11       Impact factor: 9.236

9.  CT abnormalities evocative of lung infection are associated with lower 18F-FDG uptake in confirmed COVID-19 patients.

Authors:  Achraf Bahloul; Caroline Boursier; Hélène Jeulin; Laëtitia Imbert; Damien Mandry; Gilles Karcher; Pierre-Yves Marie; Antoine Verger
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-08-18       Impact factor: 9.236

10.  Case report: incidental findings of COVID-19 infection on positron emission tomography/computed tomography for staging of a giant gastric gastrointestinal stromal tumor.

Authors:  Hamish Reed-Embleton; Khurram Shahzad Khan; Navin Mathias; Sajid Mahmud
Journal:  Pan Afr Med J       Date:  2020-05-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.