Quantification of lung surface area using computed tomography.



Respiratory research, 2010; 11 doi:10.1186/1465-9921-11-153

Authors: Yuan Ren, Nagao Taishi, Paré Peter D, Hogg James C, Sin Don D et al.(7)

Affiliation: St. Paul’s Hospital, Vancouver, BC, Canada

Abstract: OBJECTIVE: To refine the CT prediction of emphysema by comparing histology and CT for specific regions of lung. To incorporate both regional lung density measured by CT and cluster analysis of low attenuation areas for comparison with histological measurement of surface area per unit lung volume.
METHODS: The histological surface area per unit lung volume was estimated for 140 samples taken from resected lung specimens of fourteen subjects. The region of the lung sampled for histology was located on the pre-operative CT scan; the regional CT median lung density and emphysematous lesion size were calculated using the X-ray attenuation values and a low attenuation cluster analysis. Linear mixed models were used to examine the relationships between histological surface area per unit lung volume and CT measures.
RESULTS: The median CT lung density, low attenuation cluster analysis, and the combination of both were important predictors of surface area per unit lung volume measured by histology (p < 0.0001). Akaike's information criterion showed the model incorporating both parameters provided the most accurate prediction of emphysema.
CONCLUSION: Combining CT measures of lung density and emphysematous lesion size provides a more accurate estimate of lung surface area per unit lung volume than either measure alone.














Related patents

Loading...

Map of newest papers for: lung surface area

The top research papers for the subject are placed on the map. Studies form clusters based on semantic relation.

Size of the point represents relevance of the paper.

You can pan and zoom the graph using mouse and mouse wheel.

Right click on the paper to:

  • a) open the paper
  • b) to open first author’s resume page.

Left click on keyword to add it to search.

Sign up to create your own map!