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Proceedings Paper

Volumetric assessment of emphysema on low-dose screening CT scans
Author(s): William J. Kostis; Simina C. Fluture; Ali O. Farooqi; David F. Yankelevitz; Claudia I. Henschke
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Paper Abstract

A study was performed to test whether automated computer analysis of low-dose helical CT scans can accurately estimate the degree of emphysema. We characterized the severity of emphysema on low-dose high-resolution (2.5 mm slice thickness) CT scans into 4 categories (normal, mild, moderate, and severe) as determined by a thoracic radiologist. From our database we chose 80 cases (20 within each category) for analysis. Our analysis system segments the lung parenchyma from surrounding structures and computes an emphysema index as the volumetric percentage of emphysema for the entire lung volume using a dual thresholding technique. One-way analysis of variance was used to assess the emphysema index. For those cases classified as normal, the emphysema index was 11.74 ± 1.24 (mean ± sem), for mild it was 15.00 ± 1.31, for moderate it was 16.91 ± 1.72, and for severe it was 26.77 ± 1.73. The differences were statistically significant (p < 0.0001) and showed an increasing score with increasing severity of emphysema. Our system provides a useful index of the degree of emphysema present. Use of the system allows subjects undergoing lung cancer screening studies to have the extent of their emphysema quantified on a year-to-year basis.

Paper Details

Date Published: 15 May 2003
PDF: 8 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.481421
Show Author Affiliations
William J. Kostis, Weill Medical College of Cornell Univ. (United States)
Simina C. Fluture, Weill Medical College of Cornell Univ. (United States)
Ali O. Farooqi, Weill Medical College of Cornell Univ. (United States)
David F. Yankelevitz, Weill Medical College of Cornell Univ. (United States)
Claudia I. Henschke, Weill Medical College of Cornell Univ. (United States)

Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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