In vivo quantification of pulmonary inflammation in relation to emphysema severity via partial volume corrected18F-FDG-PET using computer-assisted analysis of diagnostic chest CT

Hellenic Journal of Nuclear Medicine

Volumn 16, Issue 1, 2013, Pages 12-18

  Torigian, Drew A ^a   Dam, Vincent ^a   Chen, Xinjian ^b   Saboury, Babak ^a   Udupa, Jayaram K ^a   Rashid, Arif ^a   Moghadam Kia, Siamak ^a   Alavi, Abass ^a  

^a HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

^b SOOCHOW UNIVERSITY   (China)

Author keywords

18F FDG PET; COPD; Emphysema; Inflammation; PET CT quantification

Indexed keywords

FLUORODEOXYGLUCOSE F 18; DIAGNOSTIC AGENT;

ADULT; AGED; ARTICLE; CLINICAL ARTICLE; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED EMISSION TOMOGRAPHY; COMPUTER ASSISTED TOMOGRAPHY; DISEASE ASSOCIATION; DISEASE SEVERITY; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IMAGING SOFTWARE; IN VIVO STUDY; LUNG BLOOD VESSEL; LUNG EMPHYSEMA; LUNG PARENCHYMA; LUNG VOLUME; MALE; PET SCANNER; PNEUMONIA; POSITRON EMISSION TOMOGRAPHY; RETROSPECTIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; IMAGE PROCESSING; MIDDLE AGED; RADIOGRAPHY; SCINTISCANNING; THORAX RADIOGRAPHY;

ADULT; AGED; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; FLUORODEOXYGLUCOSE F18; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MIDDLE AGED; PNEUMONIA; POSITRON-EMISSION TOMOGRAPHY; PULMONARY EMPHYSEMA; RADIOGRAPHY, THORACIC; RETROSPECTIVE STUDIES; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84884721713     PISSN: 17905427     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (40)

1. Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med 2006; 3: e442. doi:10.1371/journal.pmed. 0030442.
2. Morbidity & Mortality: 2012 Chart Book on Cardiovascular, Lung, and Blood Diseases. Available at: http://www.nhlbi.nih.gov/resources/docs/cht-book. htm Accessed 7/4/2012: National Institutes of Health, National Heart, Lung, and Blood Institute (NHLBI); 2012.
3. Minino AM. Death in the United States, 2009. NCHS data brief 2011: 1-8.
4. Rosenberg SR, Kalhan R. Biomarkers in chronic obstructive pulmonary disease. Translational research. J Lab Clin Med 2012; 159: 228-37. doi:10.1016/j.trsl.2012.01.019.
5. Vestbo J, Rennard S. Chronic obstructive pulmonary disease biomarker(s) for disease activity needed--urgently. Am J Respir Crit Care Med 2010; 182: 863-4. doi:10.1164/rccm.201004-0602ED.
6. Han MK, Agusti A, Calverley PM et al. Chronic obstructive pulmonary disease phenotypes: the future of COPD. Am J Respir Crit Care Med 2010; 182: 598-604. doi:10.1164/rccm.200912-1843CC.
7. Schuster DP. The opportunities and challenges of developing imaging biomarkers to study lung function and disease. Am J Respir Crit Care Med 2007; 176: 224-30. (Pubitemid 47195871)
8. Udupa JK, Samarasekera S. Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation. Graph Model Im Proc 1996; 58: 246-61.
9. Udupa JK, Saha PK. Fuzzy connectedness in image segmentation. Proc IEEE Inst Electr Electron Eng 2003; 91: 1649-69.
10. van Eeden SF, Hogg JC. Chronic obstructive pulmonary disease: do regional differences in tissue inflammation matter? Respiration 2011; 81: 359-61. doi:10.1159/000323869.
11. Roth M. Pathogenesis of COPD. Part III. Inflammation in COPD. Int J Tuberc Lung Dis 2008; 12: 375-80. (Pubitemid 351507248)
12. Finkelstein R, Fraser RS, Ghezzo H, Cosio MG. Alveolar inflammation and its relation to emphysema in smokers. Am J Respir Crit Care Med 1995; 152: 1666-72. (Pubitemid 3002087)
13. Tetley TD. Inflammatory cells and chronic obstructive pulmonary disease. Curr Drug Targets Inflamm Allergy 2005; 4: 607-18. (Pubitemid 41722371)
14. Fischer BM, Pavlisko E, Voynow JA. Pathogenic triad in COPD: oxidative stress, protease-antiprotease imbalance, and inflammation. Int J Chron Obstruct Pulmon Dis 2011; 6: 413-21. doi:10.2147/copd.s10770.
15. Hunninghake GW, Crystal RG. Cigarette smoking and lung destruction. Accumulation of neutrophils in the lungs of cigarette smokers. Am Rev Respir Dis 1983; 128: 833-8. (Pubitemid 14231334)
16. Braber S, Thio M, Blokhuis BR et al. An association between neutrophils and immunoglobulin free light chains in the pathogenesis of chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2012; 185: 817-24. doi:10.1164/rccm.201104-0761OC.
17. Sze MA, Dimitriu PA, Hayashi S et al. The lung tissue microbiome in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2012; 185: 1073-80. doi:10.1164/rccm.201111-2075OC.
18. Hurst JR, Vestbo J, Anzueto A et al. Susceptibility to exacerbation in chronic obstructive pulmonary disease. N Engl J Med 2010; 363: 1128-38. doi:10.1056/NEJMoa0909883.
19. Shaker SB, von Wachenfeldt KA, Larsson S et al. Identification of patients with chronic obstructive pulmonary disease (COPD) by measurement of plasma biomarkers. The clinical respiratory journal 2008; 2: 17-25. doi:10.1111/j.1752-699X.2007.00032.x.
20. Diaz AA, Come CE, Ross JC et al. Association between airway caliber changes with lung inflation and emphysema assessed by volumetric CT scan in subjects with COPD. Chest 2012; 141: 736-44. doi:10.1378/chest.11-1026.
21. Madani A, Van Muylem A, Gevenois PA. Pulmonary emphysema: effect of lung volume on objective quantification at thin-section CT. Radiology 2010; 257: 260-8. doi:10.1148/radiol.10091446.
22. Gierada DS, Bierhals AJ, Choong CK et al. Effects of CT section thickness and reconstruction kernel on emphysema quantification relationship to the magnitude of the CT emphysema index. Acad Radiol 2010; 17: 146-56. doi:10.1016/j.acra.2009.08.007.
23. Quirk JD, Lutey BA, Gierada DS et al. In vivo detection of acinar microstructural changes in early emphysema with (3)He lung morphometry. Radiology 2011; 260: 866-74. doi:10.1148/radiol.11102226.
24. Peterson ET, Dai J, Holmes JH, Fain SB. Measurement of lung airways in three dimensions using hyperpolarized helium-3 MRI. Phys Med Biol 2011; 56: 3107-22. doi:10.1088/0031-9155/56/10/014.
25. Chen DL, Schuster DP. Positron emission tomography with [18F]fluorodeoxyglucose to evaluate neutrophil kinetics during acute lung injury. Am J Physiol Lung Cell Mol Physiol 2004; 286: L834-40. doi:10.1152/ajplung.00339.2003. (Pubitemid 38365070)
26. Jones HA, Cadwallader KA, White JF et al. 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: 652-7. (Pubitemid 34507118)
27. Jones HA, Schofield JB, Krausz T et al. Pulmonary fibrosis correlates with duration of tissue neutrophil activation. Am J Respir Crit Care Med 1998; 158: 620-8. (Pubitemid 28378195)
28. Jones HA, Clark RJ, Rhodes CG et al. In vivo measurement of neutrophil activity in experimental lung inflammation. Am J Respir Crit Care Med 1994; 149: 1635-9. (Pubitemid 24175987)
29. 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: 567-73. (Pubitemid 36432506)
30. 18F-FDG uptake by respiratory muscles on PET/CT correlate with chronic obstructive pulmonary disease? J Nucl Med Technol 2011; 39: 252-7. doi:10.2967/jnmt.111.089961.
31. Basu S, Alzeair S, Li G et al. Etiopathologies associated with intercostal muscle hypermetabolism and prominent right ventricle visualization on 2-deoxy-2[F-18]fluoro-D-glucose-positron emission tomography: significance of an incidental finding and in the setting of a known pulmonary disease. Mol Imaging Biol 2007; 9: 333-9. doi:10.1007/s11307-007-0102-7.
32. Aydin A, Hickeson M, Yu JQ et al. Demonstration of excessive metabolic activity of thoracic and abdominal muscles on FDG-PET in patients with chronic obstructive pulmonary disease. Clin Nucl Med 2005; 30: 159-64. (Pubitemid 40270962)
33. Duarte PS, Zhuang H, Machado C et al. Increased FDG uptake in the right cardiac chambers in a patient with pulmonary emphysema. Clin Nucl Med 2002; 27: 605-6. (Pubitemid 36372907)
34. 18F-FDG PET pilot study. J Nucl Med 2010; 51: 1357-60. doi:10.2967/jnumed.110.075903.
35. Dam V, Chen X, Alavi A et al. Novel quantitative measurement of pulmonary inflammation in COPD by FDG PET and CT segmentation. J Nucl Med 2009; 50: 1397.
36. 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: 2238-46. doi:10.1007/s00259-011-1906-x.
37. Hickeson M, Yun M, Matthies A et al. Use of a corrected standardized uptake value based on the lesion size on CT permits accurate characterization of lung nodules on FDG-PET. Eur J Nucl Med Mol Imaging 2002; 29: 1639-47.
38. Chawluk JB, Alavi A, Dann R et al. Positron emission tomography in aging and dementia: effect of cerebral atrophy. J Nucl Med 1987; 28: 431-7. (Pubitemid 17074162)
39. Soret M, Bacharach SL, Buvat I. Partial-volume effect in PET tumor imaging. J Nucl Med 2007; 48: 932-45. (Pubitemid 46909922)
40. Basu S, Zaidi H, Houseni M et al. Novel quantitative techniques for assessing regional and global function and structure based on modern imaging modalities: Implications for normal variation, aging and diseased states. Sem Nucl Med 2007; 37: 223-39. (Pubitemid 46533824)