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Tomography
Volume 1
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10.18383/j.tom.2015.00148
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Article

The Impact of Sources of Variability on Parametric Response Mapping of Lung CT Scans

by
Jennifer L. Boes
1,
Maria Bule
1,
Benjamin A. Hoff
1,
Ryan Chamberlain
3,
David A. Lynch
4,
Jadranka Stojanovska
1,
Fernando J. Martinez
5,
Meilan K. Han
2,
Ella A. Kazerooni
1,
Brian D. Ross
1 and
Craig J. Galbán
1,*
1
Departments of Radiology, University of Michigan, Center for Molecular Imaging, Ann Arbor, MI, USA
2
Departments of Internal Medicine, University of Michigan, Center for Molecular Imaging, Ann Arbor, MI, USA
3
Imbio LLC, Minneapolis, MN, USA
4
National Jewish Health, Denver, CO, USA
5
Weill Cornell Medical College, New York, NY, USA
*
Author to whom correspondence should be addressed.
Tomography 2015, 1(1), 69-77; https://doi.org/10.18383/j.tom.2015.00148
Submission received: 3 June 2015 / Revised: 7 July 2015 / Accepted: 12 August 2015 / Published: 1 September 2015
Versions Notes

Abstract

Parametric response mapping (PRM) of inspiration and expiration computed tomography (CT) images improves the radiological phenotyping of chronic obstructive pulmonary disease (COPD). PRM classifies individual voxels of lung parenchyma as normal, emphysematous, or nonemphysematous air trapping. In this study, bias and noise characteristics of the PRM methodology to CT and clinical procedures were evaluated to determine best practices for this quantitative technique. Twenty patients of varying COPD status with paired volumetric inspiration and expiration CT scans of the lungs were identified from the baseline COPDGene cohort. The impact of CT scanner manufacturer and reconstruction kernels were evaluated as potential sources of variability in PRM measurements along with simulations to quantify the impact of inspiration/expiration lung volume levels, misregistration, and image spacing on PRM measurements. Negligible variation in PRM metrics was observed when CT scanner type and reconstruction were consistent and inspiration/expiration lung volume levels were near target volumes. CT scanner Hounsfield unit drift occurred but remained difficult to ameliorate. Increasing levels of image misregistration and CT slice spacing were found to have a minor effect on PRM measurements. PRM-derived values were found to be most sensitive to lung volume levels and mismatched reconstruction kernels. As with other quantitative imaging techniques, reliable PRM measurements are attainable when consistent clinical and CT protocols are implemented.
Keywords: parametric response map; lung disease; quantitative CT; sources of error parametric response map; lung disease; quantitative CT; sources of error

Share and Cite

MDPI and ACS Style

Boes, J.L.; Bule, M.; Hoff, B.A.; Chamberlain, R.; Lynch, D.A.; Stojanovska, J.; Martinez, F.J.; Han, M.K.; Kazerooni, E.A.; Ross, B.D.; et al. The Impact of Sources of Variability on Parametric Response Mapping of Lung CT Scans. Tomography 2015, 1, 69-77. https://doi.org/10.18383/j.tom.2015.00148

AMA Style

Boes JL, Bule M, Hoff BA, Chamberlain R, Lynch DA, Stojanovska J, Martinez FJ, Han MK, Kazerooni EA, Ross BD, et al. The Impact of Sources of Variability on Parametric Response Mapping of Lung CT Scans. Tomography. 2015; 1(1):69-77. https://doi.org/10.18383/j.tom.2015.00148

Chicago/Turabian Style

Boes, Jennifer L., Maria Bule, Benjamin A. Hoff, Ryan Chamberlain, David A. Lynch, Jadranka Stojanovska, Fernando J. Martinez, Meilan K. Han, Ella A. Kazerooni, Brian D. Ross, and et al. 2015. "The Impact of Sources of Variability on Parametric Response Mapping of Lung CT Scans" Tomography 1, no. 1: 69-77. https://doi.org/10.18383/j.tom.2015.00148

APA Style

Boes, J. L., Bule, M., Hoff, B. A., Chamberlain, R., Lynch, D. A., Stojanovska, J., Martinez, F. J., Han, M. K., Kazerooni, E. A., Ross, B. D., & Galbán, C. J. (2015). The Impact of Sources of Variability on Parametric Response Mapping of Lung CT Scans. Tomography, 1(1), 69-77. https://doi.org/10.18383/j.tom.2015.00148

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