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Coello C, Fisk M, Mohan D, et al. Quantitative analysis of dynamic . EJNMMI Res. 2017;7(1):47doi: 10.1186/s13550-017-0291-2.
Coello, C., Fisk, M., Mohan, D., Wilson, F. J., Brown, A. P., Polkey, M. I., Wilkinson, I., Tal-Singer, R., Murphy, P. S., Cheriyan, J., & Gunn, R. N. (2017). Quantitative analysis of dynamic . EJNMMI research, 7(1), 47. https://doi.org/10.1186/s13550-017-0291-2
Coello, Christopher, et al. "Quantitative analysis of dynamic ." EJNMMI research vol. 7,1 (2017): 47. doi: https://doi.org/10.1186/s13550-017-0291-2
Coello C, Fisk M, Mohan D, Wilson FJ, Brown AP, Polkey MI, Wilkinson I, Tal-Singer R, Murphy PS, Cheriyan J, Gunn RN. Quantitative analysis of dynamic . EJNMMI Res. 2017 Dec;7(1):47. doi: 10.1186/s13550-017-0291-2. Epub 2017 May 25. PMID: 28547129; PMCID: PMC5445063.
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EJNMMI Res. 2017 Dec;7(1):47. doi: 10.1186/s13550-017-0291-2. Epub 2017 May 25.

Quantitative analysis of dynamic .

EJNMMI research

Christopher Coello, Marie Fisk, Divya Mohan, Frederick J Wilson, Andrew P Brown, Michael I Polkey, Ian Wilkinson, Ruth Tal-Singer, Philip S Murphy, Joseph Cheriyan, Roger N Gunn

Affiliations

  1. Imanova Ltd., Centre for Imaging Sciences, Hammersmith Hospital, London, UK. [email protected].
  2. Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK. [email protected].
  3. Experimental Medicine and Immunotherapeutics (EMIT) Division, Department of Medicine, University of Cambridge, Cambridge, UK.
  4. NIHR Respiratory Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust and Imperial College, London, UK.
  5. GSK R&D, King of Prussia, PA, USA.
  6. GSK R&D, Stevenage, UK.
  7. Imanova Ltd., Centre for Imaging Sciences, Hammersmith Hospital, London, UK.
  8. Cambridge Clinical Trials Unit, Addenbrooke's Hospital, Cambridge, UK.
  9. GSK R&D, Cambridge, UK.
  10. Cambridge University Hospitals NHS Foundation Trust, University of Cambridge, Cambridge, UK.
  11. Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK.
  12. Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.

PMID: 28547129 PMCID: PMC5445063 DOI: 10.1186/s13550-017-0291-2

Abstract

BACKGROUND: An inflammatory reaction in the airways and lung parenchyma, comprised mainly of neutrophils and alveolar macrophages, is present in some patients with chronic obstructive pulmonary disease (COPD). Thoracic fluorodeoxyglucose (

RESULTS: The qABL method detected no difference (Hedge's g = 0.15 [-0.76 1.04]) in the tissue metabolic rate of FDG in the whole lung between HV (μ = 6.0 ± 1.9 × 10

CONCLUSIONS: We have introduced a quantitative analysis method that provides a direct estimate of the metabolic rate of FDG in lung tissue. This work provides further understanding of the underlying origin of the

Keywords: 18F-FDG; COPD; Lung inflammation; Modelling; PET

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