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Original Research

Application of the homology method for quantification of low-attenuation lung region inpatients with and without COPD

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Pages 2125-2137 | Published online: 06 Sep 2016

Figures & data

Figure 1 Representative images of the binarized images at the percentage of low-attenuation lung area =30% obtained in the simulation study.

Notes: (A and B) correspond to the results of simulations A and B, respectively. R of (A and B) is 0.103 and 0.380, respectively.
Figure 1 Representative images of the binarized images at the percentage of low-attenuation lung area =30% obtained in the simulation study.

Figure 2 Representative images of computed tomography (CT) image and results of preprocessing.

Notes: (A) CT image of the lower lung field. (BD) Binarized images after lung segmentation, after deletion of small pulmonary vessels, and after all preprocessing, respectively. (D) Used for evaluation of the homology-based emphysema quantification.
Figure 2 Representative images of computed tomography (CT) image and results of preprocessing.

Table 1 Results of the homology-based emphysema quantification for different values of LAA% in the simulation study

Figure 3 R and the percentage of low-attenuation lung area (LAA%) in the simulation study.

Notes: (A and B) correspond to the results of simulations A and B, respectively. The relationships between R and LAA% are represented as R = 0.000307 × e0.193 × LAA% in (A) and R = 0.0496 × e0.0682 × LAA% in (B). The determinants of the coefficients were 0.997 and 0.993 in (A and B), respectively.
Figure 3 R and the percentage of low-attenuation lung area (LAA%) in the simulation study.

Table 2 Summary of patient characteristics, PFT results, and emphysema quantification

Table 3 Pearson’s correlation coefficients for homology-based emphysema quantification, PFT results, and LAA%

Table 4 Statistical tests of emphysema quantification among the three groups

Table 5 Results of the linear model predicting PFT results using the homology-based emphysema quantification

Figure S1 All binarized images used in the simulation study.

Notes: Left: the binarized images obtained from simulation A. Right: the binarized images obtained from simulation B. LAA% of the two images in the same row was identical. For each row, LAA% increases by 5%.

Abbreviation: LAA%, percentage of low-attenuation lung area.

Figure S1 All binarized images used in the simulation study.Notes: Left: the binarized images obtained from simulation A. Right: the binarized images obtained from simulation B. LAA% of the two images in the same row was identical. For each row, LAA% increases by 5%.Abbreviation: LAA%, percentage of low-attenuation lung area.

Figure S2 Representative computed tomography (CT) images and results of preprocessing of the upper, middle, and lower lung fields in a 64-year-old man with COPD.

Notes: Forced expiratory volume in 1 second (FEV1)/forced vital capacity; FEV1; b0, b1, R; and the percentage of low-attenuation lung area were 67.4%; 61.4%; 944, 39, 0.0413; and 5.13%, respectively (b0, the zero-dimensional Betti number; b1, the one-dimensional Betti number; R, b1/b0). The CT images and the binarized images are shown in (AC) and (DF), respectively.

Figure S2 Representative computed tomography (CT) images and results of preprocessing of the upper, middle, and lower lung fields in a 64-year-old man with COPD.Notes: Forced expiratory volume in 1 second (FEV1)/forced vital capacity; FEV1; b0, b1, R; and the percentage of low-attenuation lung area were 67.4%; 61.4%; 944, 39, 0.0413; and 5.13%, respectively (b0, the zero-dimensional Betti number; b1, the one-dimensional Betti number; R, b1/b0). The CT images and the binarized images are shown in (A–C) and (D–F), respectively.

Figure S3 Representative computed tomography (CT) images and results of preprocessing of the upper, middle, and lower lung fields in a 77-year-old man with COPD.

Notes: Forced expiratory volume in 1 second (FEV1)/forced vital capacity; FEV1; b0, b1, R; and the percentage of low-attenuation lung area were 42.8%; 50.2%; 1,420, 321, 0.226; and 26.5%, respectively (b0, the zero-dimensional Betti number; b1, the one-dimensional Betti number; R, b1/b0). The CT images and the binarized images are shown in (AC) and (DF), respectively.

Figure S3 Representative computed tomography (CT) images and results of preprocessing of the upper, middle, and lower lung fields in a 77-year-old man with COPD.Notes: Forced expiratory volume in 1 second (FEV1)/forced vital capacity; FEV1; b0, b1, R; and the percentage of low-attenuation lung area were 42.8%; 50.2%; 1,420, 321, 0.226; and 26.5%, respectively (b0, the zero-dimensional Betti number; b1, the one-dimensional Betti number; R, b1/b0). The CT images and the binarized images are shown in (A–C) and (D–F), respectively.

Figure S4 Representative computed tomography (CT) images and results of preprocessing of the upper, middle, and lower lung fields in a 75-year-old man with COPD.

Notes: Forced expiratory volume in 1 second (FEV1)/forced vital capacity; FEV1; b0, b1, R; and the percentage of low-attenuation lung area were 28.1%; 27.5%; 977, 443, 0.453; and 56.6%, respectively (b0, the zero-dimensional Betti number; b1, the one-dimensional Betti number; R, b1/b0). The CT images and the binarized images are shown in (AC) and (DF), respectively.

Figure S4 Representative computed tomography (CT) images and results of preprocessing of the upper, middle, and lower lung fields in a 75-year-old man with COPD.Notes: Forced expiratory volume in 1 second (FEV1)/forced vital capacity; FEV1; b0, b1, R; and the percentage of low-attenuation lung area were 28.1%; 27.5%; 977, 443, 0.453; and 56.6%, respectively (b0, the zero-dimensional Betti number; b1, the one-dimensional Betti number; R, b1/b0). The CT images and the binarized images are shown in (A–C) and (D–F), respectively.

Table S1 Results of emphysema quantification in the three groups

Table S2 Summary of the emphysema quantification in all the patients, nonsmokers, smokers without COPD, and COPD patients