Paper
18 March 2014 Longitudinal follow-up study of smoking-induced emphysema progression in low-dose CT screening of lung cancer
H. Suzuki, M. Matsuhiro, Y. Kawata, N. Niki, Y. Nakano, H. Ohmatsu, M. Kusumoto, T. Tsuchida, K. Eguchi, Masahiro Kaneko, N. Moriyama
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Abstract
Chronic obstructive pulmonary disease is a major public health problem that is predicted to be third leading cause of death in 2030. Although spirometry is traditionally used to quantify emphysema progression, it is difficult to detect the loss of pulmonary function by emphysema in early stage, and to assess the susceptibility to smoking. This study presents quantification method of smoking-induced emphysema progression based on annual changes of low attenuation volume (LAV) by each lung lobe acquired from low-dose CT images in lung cancer screening. The method consists of three steps. First, lung lobes are segmented using extracted interlobar fissures by enhancement filter based on fourdimensional curvature. Second, LAV of each lung lobe is segmented. Finally, smoking-induced emphysema progression is assessed by statistical analysis of the annual changes represented by linear regression of LAV percentage in each lung lobe. This method was applied to 140 participants in lung cancer CT screening for six years. The results showed that LAV progressions of nonsmokers, past smokers, and current smokers are different in terms of pack-year and smoking cessation duration. This study demonstrates effectiveness in diagnosis and prognosis of early emphysema in lung cancer CT screening.
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H. Suzuki, M. Matsuhiro, Y. Kawata, N. Niki, Y. Nakano, H. Ohmatsu, M. Kusumoto, T. Tsuchida, K. Eguchi, Masahiro Kaneko, and N. Moriyama "Longitudinal follow-up study of smoking-induced emphysema progression in low-dose CT screening of lung cancer", Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90352M (18 March 2014); https://doi.org/10.1117/12.2044007
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KEYWORDS
Emphysema

Lung

Computed tomography

Lung cancer

Image segmentation

Chronic obstructive pulmonary disease

Signal attenuation

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