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PMID: 10051262 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

A quantification of the lung surface area in emphysema using computed tomography.

American journal of respiratory and critical care medicine ·Vol. 159 ·No. 3 ·1999-03-00 ·Pages 851-6

Coxson HO, Rogers RM, Whittall KP, D'yachkova Y, Paré PD, Sciurba FC, Hogg JC

Abstract

Quantitative analysis of computed tomography (CT) has been combined with a stereologically based histologic analysis of lung structure to assess regional lung inflation and the structural features of the lung parenchyma. In this study, CT measurements of lung inflation were compared with histologic estimates of surface area in order to develop prediction equations that allow lung surface to volume ratio and surface area to be predicted from an analysis of the CT scan. The results show that mild emphysema is associated with an increase in lung volume and a reduction in surface to volume ratio, whereas surface area and tissue weight were only decreased in severe disease. The CT predicted surface to volume ratio correlated with histology, and both predicted and measured surface areas correlated with the diffusing capacity. We conclude that this CT analysis can be used to monitor the progression of emphysematous lung destruction in individual patients, and to assess the impact of both surgical and medical treatments for emphysema.

MeSH Terms
Aged Female Humans Lung/diagnostic imaging,pathology Lung Volume Measurements Male Middle Aged Pulmonary Emphysema/diagnostic imaging,pathology,physiopathology Tomography, X-Ray Computed
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Coxson H O
University of British Columbia Pulmonary Research Laboratory, St. Paul's Hospital, Vancouver, British Columbia, Canada.
Rogers R M
Whittall K P
D'yachkova Y
Paré P D
Sciurba F C
Hogg J C
Article Info
Journal
American journal of respiratory and critical care medicine
Abbr.
Am J Respir Crit Care Med
ISSN
1073-449X
Published
1999-03-00
Pages
851-6
Language
English
Region
United States
NLM ID
9421642
Subset
IM
Corrections
ErratumIn
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