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Computed tomography–based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression
Open accessAbstract
Chronic obstructive pulmonary disease (COPD) is increasingly being recognized as a highly heterogeneous disorder, composed of varying pathobiology. Accurate detection of COPD subtypes by image biomarkers is urgently needed to enable individualized treatment, thus improving patient outcome. We adapted the parametric response map (PRM), a voxel-wise image analysis technique, for assessing COPD phenotype. We analyzed whole-lung computed tomography (CT) scans acquired at inspiration and expiration of 194 individuals with COPD from the COPDGene study. PRM identified the extent of functional small airways disease (fSAD) and emphysema as well as provided CT-based evidence that supports the concept that fSAD precedes emphysema with increasing COPD severity. PRM is a versatile imaging biomarker capable of diagnosing disease extent and phenotype while providing detailed spatial information of disease distribution and location. PRM's ability to differentiate between specific COPD phenotypes will allow for more accurate diagnosis of individual patients, complementing standard clinical techniques.
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Cited by
Chronic obstructive pulmonary disease
Barnes, P. J., Burney, P. G. J., Silverman, E. K., Celli, B. R., Vestbo, J., Wedzicha, J. A., & Wouters, E. F. M. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.76 · Cited by 734
Lynch, D. A., Austin, J. H. M., Hogg, J. C., Grenier, P. A., Kauczor, H.-U., Bankier, A. A., Barr, R. G., Colby, T. V., Galvin, J. R., Gevenois, P. A., et al. (2015) · Radiology · doi:10.1148/radiol.2015141579 · Cited by 658
Han, M. K., Quibrera, P. M., Carretta, E. E., Barr, R. G., Bleecker, E. R., Bowler, R. P., Cooper, C. B., Comellas, A., Couper, D. J., Curtis, J. L., et al. (2017) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(17)30207-2 · Cited by 319
Self-citationAt the Root: Defining and Halting Progression of Early Chronic Obstructive Pulmonary Disease
Martinez, F. J., Han, M. K., Allinson, J. P., Barr, R. G., Boucher, R. C., Calverley, P. M. A., Celli, B. R., Christenson, S. A., Crystal, R. G., Fagerås, M., et al. (2018) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201710-2028pp · Cited by 282
Self-citationExperimental evidence of age-related adaptive changes in human acinar airways
Quirk, J. D., Sukstanskii, A. L., Woods, J. C., Lutey, B. A., Conradi, M. S., Gierada, D. S., Yusen, R. D., Castro, M., & Yablonskiy, D. A. (2016) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00541.2015 · Cited by 51
Metadata
- Authors
- Galbán, C. J., Han, M. K., Boes, J. L., Chughtai, K. A., Meyer, C. R., Johnson, T. D., Galbán, S., Rehemtulla, A., Kazerooni, E. A., Martinez, F. J., & Ross, B. D.
- Venue
- Nature Medicine
- Published
- 2012-10-07
- Volume
- 18
- Issue
- 11
- Pages
- 1711-1715
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2087387762
- Cited by
- 813
- References
- 0
- FWCI
- 30.36
- Type
- journal article
- Language
- en
- Open access
- green
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- Galbán, C. J., Han, M. K., Boes, J. L., Chughtai, K. A., Meyer, C. R., Johnson, T. D., Galbán, S., Rehemtulla, A., Kazerooni, E. A., Martinez, F. J., & Ross, B. D. (2012). Computed tomography–based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression. Nature Medicine. https://doi.org/10.1038/nm.2971
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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