Rie Tanaka1, Isao Matsumoto2, Masaya Tamura2, Munehisa Takata2, Shuhei Yoshida2, Daisuke Saito2, Yusuke Tanaka2, Dai Inoue3, Noriyuki Ohkura4, Kazuo Kasahara4. 1. College of Medical, Pharmaceutical & Health Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan. 2. Department of Thoracic Surgery, Kanazawa University, Kanazawa, Ishikawa, Japan. 3. Department of Radiology, Kanazawa University Hospital, Kanazawa, Ishikawa, Japan. 4. Department of Respiratory Medicine, Kanazawa University Hospital, Kanazawa, Ishikawa, Japan.
Abstract
BACKGROUND: Dynamic chest radiography (DCR) is a type of non-contrast-enhanced functional lung imaging with a dynamic flat-panel detector (FPD). This study aimed to assess the clinical significance of ventilation and perfusion metrics derived from changes in radiographic lung density on DCR in comparison to nuclear medicine imaging-derived metrics. METHODS: DCR images of 42 lung cancer patients were sequentially obtained during respiration using a dynamic FPD imaging system. For each subdivided lung region, the maximum change in the averaged pixel value (Δmax), i.e., lung density, due to respiration and cardiac function was calculated, and the percentage of Δmax relative to the total of all lung regions (Δmax%) was computed for ventilation and perfusion, respectively. The Δmax% was compared to the accumulation of radioactive agents such as Tc-99m gas and Tc-99m macro-aggregated albumin (radioactive agents%) on ventilation and perfusion scans in the subdivided lung regions, by Spearman's correlation coefficient (r) and the Dice similarity coefficients (DSC). To facilitate visual evaluation, Δmax% was visualized as a color scaling, where larger Δmax values were indicated by higher color intensities. RESULTS: We found a moderate correlation between Δmax% and radioactive agents% on ventilation and perfusion scans, with perfusion metrics (r=0.57, P<0.001) showing a higher correlation than ventilation metrics (r=0.53, P<0.001). We also found a good or strong correlation (r≥0.5) in 80.9% (34/42) of patients for perfusion metrics (r=0.60±0.16) and in 52.4% (22/42) of patients for ventilation metrics (r=0.53±0.16). DSC indicated a moderate correlation for both metrics. Decreased pulmonary function was observed in the form of reduced color intensities on color-mapping images. CONCLUSIONS: DCR-derived ventilation and perfusion metrics correlated reasonably well with nuclear medicine imaging findings in lung subdivisions, suggesting that DCR could provide useful information on pulmonary function without the use of radioactive contrast agents. 2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.
BACKGROUND: Dynamic chest radiography (DCR) is a type of non-contrast-enhanced functional lung imaging with a dynamic flat-panel detector (FPD). This study aimed to assess the clinical significance of ventilation and perfusion metrics derived from changes in radiographic lung density on DCR in comparison to nuclear medicine imaging-derived metrics. METHODS: DCR images of 42 lung cancer patients were sequentially obtained during respiration using a dynamic FPD imaging system. For each subdivided lung region, the maximum change in the averaged pixel value (Δmax), i.e., lung density, due to respiration and cardiac function was calculated, and the percentage of Δmax relative to the total of all lung regions (Δmax%) was computed for ventilation and perfusion, respectively. The Δmax% was compared to the accumulation of radioactive agents such as Tc-99m gas and Tc-99m macro-aggregated albumin (radioactive agents%) on ventilation and perfusion scans in the subdivided lung regions, by Spearman's correlation coefficient (r) and the Dice similarity coefficients (DSC). To facilitate visual evaluation, Δmax% was visualized as a color scaling, where larger Δmax values were indicated by higher color intensities. RESULTS: We found a moderate correlation between Δmax% and radioactive agents% on ventilation and perfusion scans, with perfusion metrics (r=0.57, P<0.001) showing a higher correlation than ventilation metrics (r=0.53, P<0.001). We also found a good or strong correlation (r≥0.5) in 80.9% (34/42) of patients for perfusion metrics (r=0.60±0.16) and in 52.4% (22/42) of patients for ventilation metrics (r=0.53±0.16). DSC indicated a moderate correlation for both metrics. Decreased pulmonary function was observed in the form of reduced color intensities on color-mapping images. CONCLUSIONS: DCR-derived ventilation and perfusion metrics correlated reasonably well with nuclear medicine imaging findings in lung subdivisions, suggesting that DCR could provide useful information on pulmonary function without the use of radioactive contrast agents. 2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.
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