Figures & data
Table 1 Clinical Characteristics Of The 32 Study Participants
Table 2 Measurements Of Emphysematous Lesions Obtained On U-HRCT Scans Versus Conventional HRCT Scans At Different Density Thresholds
Figure 1 Visualization of lesions of pulmonary emphysema on ultra-high-resolution CT (U-HRCT) and conventional HRCT images. On an U-HRCT image (left), the margins of pulmonary emphysema are more clearly depicted than on a conventional HRCT image (right), particularly the relatively small emphysematous lesions (rectangles).
![Figure 1 Visualization of lesions of pulmonary emphysema on ultra-high-resolution CT (U-HRCT) and conventional HRCT images. On an U-HRCT image (left), the margins of pulmonary emphysema are more clearly depicted than on a conventional HRCT image (right), particularly the relatively small emphysematous lesions (rectangles).](/cms/asset/ba0ba4b0-435e-4db3-950f-ec60495e8b45/dcop_a_223605_f0001_b.jpg)
Figure 2 Ultra-high-resolution CT (U-HRCT) image compared with a conventional HRCT image for the detection of emphysema. At the threshold setting of <−950 Hounsfield units, emphysematous lesions are identified as dark-red areas on axial images. Some of the very small emphysematous lesions, which is clearly identified on the U-HRCT image (left), cannot be seen on the identical conventional HRCT image (right).
![Figure 2 Ultra-high-resolution CT (U-HRCT) image compared with a conventional HRCT image for the detection of emphysema. At the threshold setting of <−950 Hounsfield units, emphysematous lesions are identified as dark-red areas on axial images. Some of the very small emphysematous lesions, which is clearly identified on the U-HRCT image (left), cannot be seen on the identical conventional HRCT image (right).](/cms/asset/745496ae-b4eb-44a3-aa2f-840476a53142/dcop_a_223605_f0002_c.jpg)
Figure 3 Quantitative measurements of lesions of pulmonary emphysema on ultra-high-resolution CT (U-HRCT) and conventional HRCT scans. Red areas are emphysematous lesions identified by the software (<−950 Hounsfield units). In this COPD patient, the percentage low attenuation volume (LAV%) was 32.8% on the U-HRCT scan (left) and 30.7% on the conventional HRCT scan (right).
![Figure 3 Quantitative measurements of lesions of pulmonary emphysema on ultra-high-resolution CT (U-HRCT) and conventional HRCT scans. Red areas are emphysematous lesions identified by the software (<−950 Hounsfield units). In this COPD patient, the percentage low attenuation volume (LAV%) was 32.8% on the U-HRCT scan (left) and 30.7% on the conventional HRCT scan (right).](/cms/asset/b5f31c42-1038-4780-86a0-bab55b0f8539/dcop_a_223605_f0003_c.jpg)
Figure 4 Comparison of the percentage of low attenuation volume (LAV%) on ultra-high-resolution CT (U-HRCT) and conventional HRCT scan modes using the threshold of −950 Hounsfield units. LAV% on HRCT scans tends to increase on U-HRCT scans.
![Figure 4 Comparison of the percentage of low attenuation volume (LAV%) on ultra-high-resolution CT (U-HRCT) and conventional HRCT scan modes using the threshold of −950 Hounsfield units. LAV% on HRCT scans tends to increase on U-HRCT scans.](/cms/asset/aa8f5a5f-8d04-475e-a7f8-5afffedbfdc7/dcop_a_223605_f0004_c.jpg)
Table 3 Correlations Between Values For LAV% And Airflow Limitation
Figure 5 Correlation between FEV1/FVC and LAV%−950 (U-HRCT). A significant, negative correlation is observed between LAV%−950 and FEV1/FVC.
![Figure 5 Correlation between FEV1/FVC and LAV%−950 (U-HRCT). A significant, negative correlation is observed between LAV%−950 and FEV1/FVC.](/cms/asset/b3e5feb8-cca6-4f31-b4cb-bb8884d35945/dcop_a_223605_f0005_c.jpg)