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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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Abstract

Millions of people are affected by respiratory diseases, leading to a significant health burden globally. Because of the current insufficient knowledge of the underlying mechanisms that lead to the development and progression of respiratory diseases, treatment options remain limited. To overcome this limitation and understand the associated molecular changes, noninvasive imaging techniques such as PET and SPECT have been explored for biomarker development, with 18F-FDG PET imaging being the most studied. The quantification of pulmonary molecular imaging data remains challenging because of variations in tissue, air, blood, and water fractions within the lungs. The proportions of these components further differ depending on the lung disease. Therefore, different quantification approaches have been proposed to address these variabilities. However, no standardized approach has been developed to date. This article reviews the data evaluating 18F-FDG PET quantification approaches in lung diseases, focusing on methods to account for variations in lung components and the interpretation of the derived parameters. The diseases reviewed include acute respiratory distress syndrome, chronic obstructive pulmonary disease, and interstitial lung diseases such as idiopathic pulmonary fibrosis. Based on review of prior literature, ongoing research, and discussions among the authors, suggested considerations are presented to assist with the interpretation of the derived parameters from these approaches and the design of future studies.

  • pulmonary
  • lung inflammation
  • molecular imaging
  • positron emission tomography

Footnotes

  • Published online Jan. 12, 2017.

  • Learning Objectives: On successful completion of this activity, participants should be able to (1) describe the methods that have been used to quantify 18F-FDG uptake in the lungs using dynamic PET; (2) discuss the interpretation of the outcomes from these methods; and (3) provide suggested considerations on quantification of 18F-FDG uptake in the lungs for future studies.

  • Financial Disclosure: Dr. Cheriyan’s salary is funded in part by GlaxoSmithKline for clinical research. Dr. Lee is a consultant to GlaxoSmithKline. Drs. Mohan and Tal-Singer and Mr. Wilson are employees and shareholders of GlaxoSmithKline. Mr. Wilson was previously a consultant to ECNP R&S, GlaxoSmithKline, IPPEC, King’s College London, Lundbeck A/S, Mentis Cura Ehf, and Pfizer, Inc., and has received travel expenses as a guest speaker from Orion Pharma Ltd. Dr. Wellen is an employee and shareholder of Pfizer. Dr. Gunn is a consultant for Abbvie, Biogen, GlaxoSmithKline, UCB, Roche, and Genentech, S.A. Drs. Groves, Holman, Thielemans, and Hutton have research grants from GlaxoSmithKline and receive funding from the National Institute for Health Research University College London Hospitals Biomedical Research Centre. Dr. Chen receives funding from the National Institutes of Health (R01 HL121218). Drs. Cheriyan and Wilkinson receive funding from the National Institute of Health Research (NIHR) Cambridge Comprehensive Biomedical Research Centre. Dr. Gunn is an employee of Imanova and Imperial College London. Dr. Coello is an employee of Imanova. The authors of this article have indicated no other relevant relationships that could be perceived as a real or apparent conflict of interest.

  • CME Credit: SNMMI is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to sponsor continuing education for physicians. SNMMI designates each JNM continuing education article for a maximum of 2.0 AMA PRA Category 1 Credits. Physicians should claim only credit commensurate with the extent of their participation in the activity. For CE credit, SAM, and other credit types, participants can access this activity through the SNMMI website (http://www.snmmilearningcenter.org) through February 2020.

  • © 2017 by the Society of Nuclear Medicine and Molecular Imaging.
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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
    • Footnotes
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Keywords

  • Pulmonary
  • lung inflammation
  • molecular imaging
  • positron emission tomography
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