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Review ArticleContinuing Education

Quantification of Lung PET Images: Challenges and Opportunities

Delphine L. Chen, Joseph Cheriyan, Edwin R. Chilvers, Gourab Choudhury, Christopher Coello, Martin Connell, Marie Fisk, Ashley M. Groves, Roger N. Gunn, Beverley F. Holman, Brian F. Hutton, Sarah Lee, William MacNee, Divya Mohan, David Parr, Deepak Subramanian, Ruth Tal-Singer, Kris Thielemans, Edwin J.R. van Beek, Laurence Vass, Jeremy W. Wellen, Ian Wilkinson and Frederick J. Wilson
Journal of Nuclear Medicine February 2017, 58 (2) 201-207; DOI: https://doi.org/10.2967/jnumed.116.184796
Delphine L. Chen
1Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
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Joseph Cheriyan
2Department of Medicine, University of Cambridge, Cambridge, United Kingdom
3Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
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Edwin R. Chilvers
2Department of Medicine, University of Cambridge, Cambridge, United Kingdom
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Gourab Choudhury
4Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
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Christopher Coello
5Imanova Ltd., London, United Kingdom
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Martin Connell
4Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
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Marie Fisk
2Department of Medicine, University of Cambridge, Cambridge, United Kingdom
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Ashley M. Groves
6Institute of Nuclear Medicine, University College London, London, United Kingdom
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Roger N. Gunn
5Imanova Ltd., London, United Kingdom
7Department of Medicine, Imperial College London, London, United Kingdom
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Beverley F. Holman
6Institute of Nuclear Medicine, University College London, London, United Kingdom
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Brian F. Hutton
6Institute of Nuclear Medicine, University College London, London, United Kingdom
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Sarah Lee
8Medical Image Analysis Consultant, London, United Kingdom
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William MacNee
4Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
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Divya Mohan
9Clinical Discovery, Respiratory Therapy Area Unit, GlaxoSmithKline R&D, King of Prussia, Pennsylvania
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David Parr
10University Hospitals Coventry and Warwickshire, Coventry, United Kingdom
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Deepak Subramanian
11Derby Teaching Hospitals NHS Foundation Trust, Derby, United Kingdom
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Ruth Tal-Singer
9Clinical Discovery, Respiratory Therapy Area Unit, GlaxoSmithKline R&D, King of Prussia, Pennsylvania
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Kris Thielemans
6Institute of Nuclear Medicine, University College London, London, United Kingdom
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Edwin J.R. van Beek
4Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
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Laurence Vass
2Department of Medicine, University of Cambridge, Cambridge, United Kingdom
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Jeremy W. Wellen
12Worldwide Research and Development, Pfizer, Inc., Cambridge, Massachusetts; and
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Ian Wilkinson
2Department of Medicine, University of Cambridge, Cambridge, United Kingdom
3Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
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Frederick J. Wilson
13Experimental Medicine Imaging, GlaxoSmithKline, Stevenage, United Kingdom
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  • FIGURE 1.
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    FIGURE 1.

    Variations in relative proportions of air, blood, lung tissue (parenchymal/airway and endothelial cells) and immune cells, and water by lung disease. Proportions of blood and tissue in brain are also shown for comparison.

  • FIGURE 2.
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    FIGURE 2.

    Schematic of 3-compartment model describing kinetics of tracer in lung tissue (CT). CB is concentration in blood, C1 is concentration in reversible compartment, C2 is concentration in irreversible (trapped) compartment, CT is total tracer concentration in tissue, CM is measured concentration in voxel or region, CA is concentration in air, VA is fractional air volume, VB is fractional blood volume, and Ki is metabolic rate constant of 18F-FDG. Rate constants are represented as K1, k2, and k3. A full derivation has been previously published (34).

  • FIGURE 3.
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    FIGURE 3.

    Increased intercept-normalized Patlak Ki in upper lobes of lungs of COPD patients correlates inversely with pulmonary function testing. (A) Three-dimensional imaging illustrating predominantly apical distribution of pulmonary 18F-FDG uptake in patient with COPD. Maximum signal of this color spectrum is represented by white, and minimum signal by black. (B) Relationship between upper-zone 18F-FDG uptake and forced expiratory volume in 1 s (FEV1) (percentage predicted) in COPD group (n = 10). One-tailed P value is shown. (Reprinted with permission of (17).)

  • FIGURE 4.
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    FIGURE 4.

    Patlak Ki parametric images from IPF patient undergoing dynamic 18F-FDG study. (A) CT image displaying regions of obvious fibrosis (white arrows) and region of normal-appearing tissue (black arrow). (B–D) Patlak parametric images before air and blood correction (B), after air fraction correction (C), and after air and blood fraction correction (D). All images have been normalized such that they can be shown on same arbitrary gray scale. Images have been masked to show only lung. (Reprinted from (21).)

Tables

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    TABLE 1

    Summary of Human Studies Evaluating Quantitative Parameters for 18F-FDG Uptake in Lungs

    CohortPublicationNo. of subjectsParameters derived from PET imaging dataCorrelative data
    ARDSBellani et al., 2009 (19)10Patlak KiPFTs
    ARDSBellani et al., 2011 (18)13Patlak KiPFTs
    ARDS/HVGrecchi et al., 2016 (20)11/5CM Ki, Patlak Ki, SUVNone
    ARDS model in HVChen et al., 2006 (57)18Patlak KiBAL neutrophil 3H-deoxyglucose uptake
    ARDS model in HVChen et al., 2009 (56)18Patlak KiBAL
    Asthma–BCTaylor et al., 1996 (24)9Patlak KiBAL
    Asthma–BCHarris et al., 2011 (8)6Patlak KiBAL
    COPD/asthma/HVJones et al., 2003 (10)6/6/5Patlak KiN11C-PBR28 uptake, PFT, sputum
    COPD/HV/AATD COPDSubramanian et al., 2012 (17)10/10/10Patlak KiNPFTs
    COPDTorigian et al., 2013 (39)49AFC SUVNone
    Cystic fibrosis/controlLabiris et al., 2003 (16)8/3Patlak KiSputum
    Cystic fibrosis/HVChen et al., 2006 (7)20/7Patlak Ki, KiNBAL and PFTs
    Cystic fibrosisKlein et al., 2009 (25)20SUVPFTs, WBC, CRP
    Cystic fibrosis/controlAmin et al., 2012 (15)20/10SUVPFTs, sputum, CT metrics
    HVLambrou et al., 2011 (38)12AFC SUVNone
    Interstitial lung diseases, including IPFGroves et al., 2009 (11)18 IPF/18 other interstitial lung diseasesSUV, TBRPFTs
    IPFUmeda et al., 2015 (40)50Dual-time-point SUVCT-derived fibrosis score, PFTs
    IPFHolman et al., 2015 (21)6ABC Patlak Ki, ABC CM KiNone
    IPFWin et al., 2012 (22)13AFC SUVNone
    IPF/controlWin et al., 2014 (23)25/25AFC SUVNone
    Pneumonia/bronchiectasisJones et al., 1997 (9)5/5KiNNone
    • AATD = α1 antitrypsin deficiency; ABC = air- and blood-corrected; AFC = air fraction–corrected; BAL = bronchoalveolar lavage; BC = bronchoscopic challenge; CM = compartmental model; CRP = C-reactive protein; HV = healthy volunteer; KiN = intercept-normalized Ki; PFT = pulmonary function test; TBR = target-to-background ratio.

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Journal of Nuclear Medicine: 58 (2)
Journal of Nuclear Medicine
Vol. 58, Issue 2
February 1, 2017
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Quantification of Lung PET Images: Challenges and Opportunities
Delphine L. Chen, Joseph Cheriyan, Edwin R. Chilvers, Gourab Choudhury, Christopher Coello, Martin Connell, Marie Fisk, Ashley M. Groves, Roger N. Gunn, Beverley F. Holman, Brian F. Hutton, Sarah Lee, William MacNee, Divya Mohan, David Parr, Deepak Subramanian, Ruth Tal-Singer, Kris Thielemans, Edwin J.R. van Beek, Laurence Vass, Jeremy W. Wellen, Ian Wilkinson, Frederick J. Wilson
Journal of Nuclear Medicine Feb 2017, 58 (2) 201-207; DOI: 10.2967/jnumed.116.184796

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Quantification of Lung PET Images: Challenges and Opportunities
Delphine L. Chen, Joseph Cheriyan, Edwin R. Chilvers, Gourab Choudhury, Christopher Coello, Martin Connell, Marie Fisk, Ashley M. Groves, Roger N. Gunn, Beverley F. Holman, Brian F. Hutton, Sarah Lee, William MacNee, Divya Mohan, David Parr, Deepak Subramanian, Ruth Tal-Singer, Kris Thielemans, Edwin J.R. van Beek, Laurence Vass, Jeremy W. Wellen, Ian Wilkinson, Frederick J. Wilson
Journal of Nuclear Medicine Feb 2017, 58 (2) 201-207; DOI: 10.2967/jnumed.116.184796
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  • Article
    • Abstract
    • CLINICAL APPLICATIONS INVESTIGATED WITH 18F-FDG PET IMAGING
    • ANALYSIS METHODS AND THEIR APPLICATIONS IN LUNG DISEASES
    • ISSUES AND SUGGESTED CONSIDERATIONS
    • CONCLUSION
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