
Proceedings Paper
Quantitative assessment of smoking-induced emphysema progression in longitudinal CT screening for lung cancerFormat | Member Price | Non-Member Price |
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Paper Abstract
Computed tomography has been used for assessing structural abnormalities associated with emphysema. It is important to develop a robust CT based imaging biomarker that would allow quantification of emphysema progression in early stage. This paper presents effect of smoking on emphysema progression using annual changes of low attenuation volume (LAV) by each lung lobe acquired from low-dose CT images in longitudinal screening for lung cancer. The percentage of LAV (LAV%) was measured after applying CT value threshold method and small noise reduction. Progression of emphysema was assessed by statistical analysis of the annual changes represented by linear regression of LAV%. This method was applied to 215 participants in lung cancer CT screening for five years (18 nonsmokers, 85 past smokers, and 112 current smokers). The results showed that LAV% is useful to classify current smokers with rapid progression of emphysema (0.2%/year, p<0.05). This paper demonstrates effectiveness of the proposed method in diagnosis and prognosis of early emphysema in CT screening for lung cancer.
Paper Details
Date Published: 20 March 2015
PDF: 6 pages
Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94142O (20 March 2015); doi: 10.1117/12.2082054
Published in SPIE Proceedings Vol. 9414:
Medical Imaging 2015: Computer-Aided Diagnosis
Lubomir M. Hadjiiski; Georgia D. Tourassi, Editor(s)
PDF: 6 pages
Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94142O (20 March 2015); doi: 10.1117/12.2082054
Show Author Affiliations
H. Suzuki, The Univ. of Tokushima (Japan)
R. Mizuguchi, The Univ. of Tokushima (Japan)
M. Matsuhiro, The Univ. of Tokushima (Japan)
Y. Kawata, The Univ. of Tokushima (Japan)
N. Niki, The Univ. of Tokushima (Japan)
Y. Nakano, Shiga Univ. of Medical Science (Japan)
R. Mizuguchi, The Univ. of Tokushima (Japan)
M. Matsuhiro, The Univ. of Tokushima (Japan)
Y. Kawata, The Univ. of Tokushima (Japan)
N. Niki, The Univ. of Tokushima (Japan)
Y. Nakano, Shiga Univ. of Medical Science (Japan)
H. Ohmatsu, National Cancer Ctr. Hospital East (Japan)
M. Kusumoto, National Cancer Ctr. Hospital East (Japan)
T. Tsuchida, National Cancer Ctr. Hospital (Japan)
K. Eguchi, Teikyo Univ. (Japan)
M. Kaneko, Tokyo Health Service Association (Japan)
N. Moriyama, Tokyo Midtown Clinic Health Screening Ctr. (Japan)
M. Kusumoto, National Cancer Ctr. Hospital East (Japan)
T. Tsuchida, National Cancer Ctr. Hospital (Japan)
K. Eguchi, Teikyo Univ. (Japan)
M. Kaneko, Tokyo Health Service Association (Japan)
N. Moriyama, Tokyo Midtown Clinic Health Screening Ctr. (Japan)
Published in SPIE Proceedings Vol. 9414:
Medical Imaging 2015: Computer-Aided Diagnosis
Lubomir M. Hadjiiski; Georgia D. Tourassi, Editor(s)
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