Quantitative analysis of dynamic 18F-FDG PET/CT for measurement of lung inflammation

EJNMMI Research

Volumn 7, Issue , 2017, Pages

  Coello, Christopher ^a,b   Fisk, Marie ^c   Mohan, Divya ^d,g   Wilson, Frederick J ^e   Brown, Andrew P ^a   Polkey, Michael I ^d   Wilkinson, Ian ^c,f   Tal Singer, Ruth ^g   Murphy, Philip S ^e   Cheriyan, Joseph ^c,e,f,h   Gunn, Roger N ^a,b,i  

^a HAMMERSMITH HOSPITAL   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d ROYAL BROMPTON AND HAREFIELD NHS FOUNDATION TRUST   (United Kingdom)

^e GLAXOSMITHKLINE   (United Kingdom)

^f ADDENBROOKE S HOSPITAL   (United Kingdom)

^g GLAXOSMITHKLINE   (United States)

^h CAMBRIDGE UNIVERSITY HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

ⁱ UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

18F FDG; COPD; Lung inflammation; Modelling; PET

Indexed keywords

FIBRINOGEN; FLUORODEOXYGLUCOSE F 18; LOSMAPIMOD;

AGED; AIRWAY; ARTICLE; BLOOD VOLUME; BODY MASS; CHRONIC OBSTRUCTIVE LUNG DISEASE; CLINICAL ARTICLE; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; FEMALE; FORCED EXPIRATORY VOLUME; HUMAN; IMAGE PROCESSING; INFLAMMATION; KINETICS; LUNG ALVEOLUS MACROPHAGE; LUNG FUNCTION TEST; LUNG PARENCHYMA; MALE; MATHEMATICAL MODEL; METABOLIC RATE; MULTICENTER STUDY (TOPIC); NEUTROPHIL; PNEUMONIA; POSITRON EMISSION TOMOGRAPHY-COMPUTED TOMOGRAPHY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RADIOACTIVITY; RANDOMIZED CONTROLLED TRIAL (TOPIC); TIME ACTIVITY CURVE; VASCULITIS; X-RAY COMPUTED TOMOGRAPHY;

EID: 85019740919     PISSN: None     EISSN: 2191219X     Source Type: Journal    
DOI: 10.1186/s13550-017-0291-2     Document Type: Article

References (26)

1. Mannino DM, Buist a S. Global burden of COPD: risk factors, prevalence, and future trends. Lancet. 2007;370(9589):765–73. doi:10.1016/S0140-6736(07)61380-4.
2. Buist AS, McBurnie MA, Vollmer WM, et al. International variation in the prevalence of COPD (the BOLD study): a population-based prevalence study. Lancet. 2007;370(9589):741–50. doi:10.1016/S0140-6736(07)61377-4.
3. Jones HA, Soler N. Quantification of pulmonary inflammation by positron emission tomography in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2012;186(11):1070–1. doi:10.1164/rccm.201210-1800ED.
4. Chen DL, Bedient TJ, Kozlowski J, et al. [18F]fluorodeoxyglucose positron emission tomography for lung antiinflammatory response evaluation. Am J Respir Crit Care Med. 2009;180(6):533–9. doi:10.1164/rccm.200904-0501OC.
5. Phelps ME, Huang SC, Hoffman E, Selin C, Sokoloff L, Kuhl DE. Tomographic measurement of local cerebral glucose metabolic rate in humans with validation of method. Ann Neurol. 1979;6(5):371–88.
6. Jones HA, Marino PS, Shakur BH, Morrell NW. In vivo assessment of lung inflammatory cell activity in patients with COPD and asthma. Eur Respir J. 2003;21(4):567–73. doi:10.1183/09031936.03.00048502.
7. Chen DL, Azulay D-O, Atkinson JJ, et al. Reproducibility of positron emission tomography (PET)-measured [18F]fluorodeoxyglucose ([18F]FDG) uptake as a marker of lung inflammation in chronic obstructive pulmonary disease (COPD). In: Society AT, ed. American Thoracic Society International Conference Abstracts. Vol American Thoracic Society; 2011:A6449-A6449. doi:10.1164/ajrccm-conference.2011.183.1_MeetingAbstracts.A6449.
8. Subramanian DR, Jenkins L, Edgar R, Quraishi N, Stockley R a, Parr DG. Assessment of pulmonary neutrophilic inflammation in emphysema by quantitative positron emission tomography. Am J Respir Crit Care Med. 2012;186(11):1125–32. doi:10.1164/rccm.201201-0051OC.
9. Jones HA, Cadwallader KA, White JF, Uddin M, Peters AM, Chilvers ER. Dissociation between respiratory burst activity and deoxyglucose uptake in human neutrophil granulocytes: implications for interpretation of 18F-FDG PET images. J Nucl Med. 2002;43(5):652–7.
10. Holman B, Cuplov V, Millner L, et al. Improved correction for the tissue fraction effect in lung PET/CT imaging. Phys Med Biol. 2015;60(18):7387–402. doi:10.1088/0031-9155/60/18/7387.
11. Chen DL, Cheriyan J, Chilvers E, et al. Quantification of lung PET images: challenges and opportunities. J Nucl Med. 2017;58(2):201–7. doi:10.2967/jnumed.116.184796.
12. Lambrou T, Groves AM, Erlandsson K, et al. The importance of correction for tissue fraction effects in lung PET: preliminary findings. Eur J Nucl Med Mol Imaging. 2011;38(12):2238–46. doi:10.1007/s00259-011-1906-x.
13. Win T, Thomas B a, Lambrou T, et al. Areas of normal pulmonary parenchyma on HRCT exhibit increased FDG PET signal in IPF patients. Eur J Nucl Med Mol Imaging. 2014;41(2):337–42. doi:10.1007/s00259-013-2514-8.
14. Jones HA, Sriskandan S, Peters AM, et al. Dissociation of neutrophil emigration and metabolic activity in lobar pneumonia and bronchiectasis. Eur Respir J. 1997;10(4):795–803. doi:10.1183/09031936.97.10040795.
15. Miller BE, Tal-Singer R, Rennard SI, et al. Plasma fibrinogen qualification as a drug development tool in COPD: perspective of the COPD biomarker qualification consortium. Am J Respir Crit Care Med. 2016;193(6):607–13. doi:10.1164/rccm.201509-1722PP.
16. Sokoloff L, Reivich M, Kennedy C, et al. The [14 C]deoxyglucose method for the measurement of local cerebral glucose utilization: theory, procedure, and normal values in the conscious and anesthetized albino rat. J Neurochem. 1977;28(5):897–916. doi:10.1111/j.1471-4159.1977.tb10649.x.
17. Gunn RN, Gunn SR, Cunningham VJ. Positron emission tomography compartmental models. J Cereb Blood Flow Metab. 2001;21(6):635–52. doi:10.1097/00004647-200106000-00002.
18. Fisk M, Mohan D, Cheriyan J, et al. Evaluation of losmapimod in patients with chronic obstructive pulmonary disease (COPD) with systemic inflammation stratified using fibrinogen (‘EVOLUTION’): RATIONALE and protocol. Artery Res. 2014;8(1):24–34. doi:10.1016/j.artres.2013.10.380.
19. Patlak CS, Blasberg RG, Fenstermacher JD. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations. J Cereb Blood Flow Metab. 1983;3(4):584–90. doi:10.1038/jcbfm.1985.87.
20. Hentschke H, Stüttgen MC. Computation of measures of effect size for neuroscience data sets. Eur J Neurosci. 2011;34(12):1887–94. doi:10.1111/j.1460-9568.2011.07902.x.
21. Cosio MG, Majo J, Cosio MG. Inflammation of the airways and lung parenchyma in COPD*: role of T cells. Chest. 2002;121(5):161S–5S. doi:10.1378/chest.121.5.
22. Rhodes CG, Hughes JMB. Pulmonary studies using positron emission tomography. Eur Respir J. 1995;8(6):1001–17. doi:10.1183/09031936.95.08061001.
23. Schroeder T, Melo MFV, Musch G, Harris RS, Venegas JG, Winkler T. Modeling pulmonary kinetics of 2-deoxy-2-[18F]fluoro-D-glucose during acute lung injury. Acad. 2008;15(6):763–75. doi:10.1016/j.acra.2007.12.016.
24. Dittrich a. S, Winkler T, Wellman T, et al. Modeling 18F-FDG Kinetics during Acute Lung Injury: Experimental Data and Estimation Errors. PLoS One. 2012;7(10):e47588. doi:10.1371/journal.pone.0047588.
25. Cuplov V, Holman B, Hutton B, Groves A, Thielemans K. Issues in quantification of registered respiratory gated PET/CT in the lung. J Nucl Med. 2015;56(supplement 3):537.
26. Holman B, Cuplov V, Millner L, Hutton B, Groves A, Thielemans K. Failure to account for density variation during respiration can significantly affect PET quantitation in the lung. J Nucl Med. 2015;56(supplement 3):1770.