Computed tomography-based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression

Nature Medicine

Volumn 18, Issue 11, 2012, Pages 1711-1715

  Galbán, Craig J ^a,b   Han, Meilan K ^a   Boes, Jennifer L ^a,b   Chughtai, Komal A ^a,b   Meyer, Charles R ^a,b   Johnson, Timothy D ^b   Galbán, Stefanie ^b   Rehemtulla, Alnawaz ^b   Kazerooni, Ella A ^a   Martinez, Fernando J ^a   Ross, Brian D ^a,b  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ARTICLE; CHRONIC OBSTRUCTIVE LUNG DISEASE; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC ACCURACY; DISEASE COURSE; DISEASE SEVERITY; FORCED EXPIRATORY VOLUME; FORCED VITAL CAPACITY; FUNCTIONAL SMALL AIRWAYS DISEASE; HUMAN; IMAGE ANALYSIS; INSPIRATORY CAPACITY; LUNG EMPHYSEMA; MAJOR CLINICAL STUDY; PHENOTYPE; PRIORITY JOURNAL; SMALL AIRWAY DISEASE;

BIOLOGICAL MARKERS; DIAGNOSIS, DIFFERENTIAL; DISEASE PROGRESSION; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; MALE; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; PULMONARY EMPHYSEMA; SMOKING; TOMOGRAPHY, EMISSION-COMPUTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84869190518     PISSN: 10788956     EISSN: 1546170X     Source Type: Journal    
DOI: 10.1038/nm.2971     Document Type: Article

References (29)

1. Buist, A.S. et al. The Burden of Obstructive Lung Disease Initiative (BOLD): Rationale and design. COPD 2, 277-283 (2005 (Pubitemid 40993302)
2. Agusti, A. & Vestbo, J. Current controversies and future perspectives in COPD. Am. J. Respir. Crit. Care Med. 184, 507-513 (2011
3. Regan, E.A. et al. Genetic epidemiology of COPD (COPDGene) study design. COPD 7, 32-43 (2010
4. Han, M.K. et al. Chronic obstructive pulmonary disease phenotypes: The future of COPD. Am. J. Respir. Crit. Care Med. 182, 598-604 (2010
5. Gevenois, P.A., de Maertelaer, V., De Vuyst, P., Zanen, J. & Yernault, J.C. Comparison of computed density and macroscopic morphometry in pulmonary emphysema. Am. J. Respir. Crit. Care Med. 152, 653-657 (1995
6. Gevenois, P.A. et al. Comparison of computed density and microscopic morphometry in pulmonary emphysema. Am. J. Respir. Crit. Care Med. 154, 187-192 (1996 (Pubitemid 26255788)
7. Newman, K.B., Lynch, D.A., Newman, L.S., Ellegood, D. & Newell, J.D. Jr. Quantitative computed tomography detects air trapping due to asthma. Chest 106, 105-109 (1994 (Pubitemid 24214737)
8. Eda, S. et al. The relations between expiratory chest CT using helical CT and pulmonary function tests in emphysema. Am. J. Respir. Crit. Care Med. 155, 1290-1294 (1997 (Pubitemid 27172773)
9. Gorbunova, V. et al. Early detection of emphysema progression. Med. Image Comput. Comput. Assist. Interv. 13, 193-200 (2010
10. Gorbunova, V. et al. Weight preserving image registration for monitoring disease progression in lung CT. Med. Image Comput. Comput. Assist. Interv. 11, 863-870 (2008
11. Kubo, K. et al. Expiratory and inspiratory chest computed tomography and pulmonary function tests in cigarette smokers. Eur. Respir. J. 13, 252-256 (1999 (Pubitemid 29086816)
12. Matsuoka, S. et al. Quantitative assessment of air trapping in chronic obstructive pulmonary disease using inspiratory and expiratory volumetric MDCT. AJR Am. J. Roentgenol. 190, 762-769 (2008 (Pubitemid 351304523)
13. Matsuoka, S., Kurihara, Y., Yagihashi, K. & Nakajima, Y. Quantitative assessment of peripheral airway obstruction on paired expiratory/inspiratory thin-section computed tomography in chronic obstructive pulmonary disease with emphysema. J. Comput. Assist. Tomogr. 31, 384-389 (2007 (Pubitemid 46849906)
14. Reinhardt, J.M. et al. Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation. Med. Image Anal. 12, 752-763 (2008
15. Li, B., Christensen, G.E., Hoffman, E.A., McLennan, G. & Reinhardt, J.M. Pulmonary CT image registration and warping for tracking tissue deformation during the respiratory cycle through 3D consistent image registration. Med. Phys. 35, 5575-5583 (2008
16. Moffat, B.A. et al. Functional diffusion map: A noninvasive MRI biomarker for early stratification of clinical brain tumor response. Proc. Natl. Acad. Sci. USA 102, 5524-5529 (2005 (Pubitemid 40530291)
17. Galbán, C.J. et al. A feasibility study of parametric response map analysis of diffusion-weighted magnetic resonance imaging scans of head and neck cancer patients for providing early detection of therapeutic efficacy. Transl. Oncol. 2, 184-190 (2009
18. Hamstra, D.A. et al. Functional diffusion map as an early imaging biomarker for high-grade glioma: Correlation with conventional radiologic response and overall survival. J. Clin. Oncol. 26, 3387-3394 (2008
19. Ma, B. et al. Voxel-by-voxel functional diffusion mapping for early evaluation of breast cancer treatment. Inf. Process. Med. Imaging 21, 276-287 (2009
20. Reischauer, C. et al. Bone metastases from prostate cancer: Assessing treatment response by using diffusion-weighted imaging and functional diffusion maps-initial observations. Radiology 257, 523-531 (2010
21. Galbán, C.J. et al. The parametric response map is an imaging biomarker for early cancer treatment outcome. Nat. Med. 15, 572-576 (2009
22. McDonough, J.E. et al. Small-airway obstruction and emphysema in chronic obstructive pulmonary disease. N. Engl. J. Med. 365, 1567-1575 (2011
23. Kohansal, R., Soriano, J.B. & Agusti, A. Investigating the natural history of lung function: Facts, pitfalls, and opportunities. Chest 135, 1330-1341 (2009
24. Oga, T. et al. Multidimensional analyses of long-term clinical courses of asthma and chronic obstructive pulmonary disease. Allergol. Int. 59, 257-265 (2010
25. Cazzola, M. et al. Outcomes for COPD pharmacological trials: From lung function to biomarkers. Eur. Respir. J. 31, 416-469 (2008
26. Martinez, F.J., Donohue, J.F. & Rennard, S.I. The future of chronic obstructive pulmonary disease treatment-difficulties of and barriers to drug development. Lancet 378, 1027-1037 (2011
27. Yamamoto, T. et al. Investigation of four-dimensional computed tomography-based pulmonary ventilation imaging in patients with emphysematous lung regions. Phys. Med. Biol. 56, 2279-2298 (2011
28. Hu, S., Hoffman, E.A. & Reinhardt, J.M. Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images. IEEE Trans. Med. Imaging 20, 490-498 (2001 (Pubitemid 32657853)
29. Meyer, C.R. et al. Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations. Med. Image Anal. 1, 195-206 (1997