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COPD Flip part 1 JK Amorosa. Emphysema Centriacinar (centrilobular) Panlobular Paraseptal Irregular.

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Presentation on theme: "COPD Flip part 1 JK Amorosa. Emphysema Centriacinar (centrilobular) Panlobular Paraseptal Irregular."— Presentation transcript:

1 COPD Flip part 1 JK Amorosa

2 Emphysema Centriacinar (centrilobular) Panlobular Paraseptal Irregular

3 Emphysema definitions Centriacinar: cigarette smoking, upper lobes Dilitation second order respiratory bronchioles, respiratory bronchiolitis may be precursor Panlobular: lower lobes, involves entire lobule, seen in senile emphysema and alpha-1- antiprotease deficiency Paraseptal: involves periphery of secondary pulmonary lobule, assoc with scars, ptx Bullae: Emphysema with more than 1 cm in diameter with wall thickness < 1mm

4 Emphysema Chest X-ray Hyperinflation Flat diaphragms Widened retrosternal air space Lung height increased Small narrow heart

5 Emphysema lung parenchyma Arterial deficiency, increased branching angle of remaining vessels Increased markings / bronchial wall thickening or superimposed enphysematous walls

6 Emphysema secondary manifestations PA hypertension

7 HRCT Emphysematous holes have no walls, attenuation values of −950 HU or less on thin-section CT scans with a 10-mm interval correlate well with pulmonary function test results and the pathologic distribution of emphysema, reduced CT attenuation coefficients Bronchial wall thickening Hyperinflation Expiratory air-trapping Vascular pruning

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10 Emphysema-predominant airway-dominant Radiology Oct 2011

11 Figure 1 Axial CT image obtained in a 66- year-old man with COPD and severe airflow obstruction (percentage of predicted FEV1, 40.8%) shows mild emphysema (relative low-attenuation area with attenuation of −950 HU or lower, 5.8%). Low-attenuation areas representing emphysematous change (“holes”) are indicated by arrowheads. RadioGraphics, http://pubs.rsna.org/doi/abs/10.1148/rg.301095110

12 Figure 3b (a) Axial CT image obtained in a 72-year-old man with COPD shows multiple low-attenuation areas of emphysema. (b) Axial CT image obtained with data segmentation shows the same lung field as in a. The total lung parenchymal area (areas with attenuation of −500 to −1024 HU) is depicted in red, and vascular and other structures are shown in gray. (c) Axial CT image obtained with data segmentation shows the same lung field as in a and b. Voxels with attenuation of −950 HU or lower are depicted in red, and those with attenuation of −500 to −949 HU are depicted in black. (Vascular and other nonparenchymal structures are shown in gray.) To quantify the extent of emphysema, the percentage of the total lung area occupied by voxels with attenuation of −950 HU or lower (ie, the relative low-attenuation area) can be calculated from these segmented CT image data. RadioGraphics, http://pubs.rsna.org/doi/abs/10.1148/rg.301095110

13 Figure 3c (a) Axial CT image obtained in a 72-year-old man with COPD shows multiple low-attenuation areas of emphysema. (b) Axial CT image obtained with data segmentation shows the same lung field as in a. The total lung parenchymal area (areas with attenuation of −500 to −1024 HU) is depicted in red, and vascular and other structures are shown in gray. (c) Axial CT image obtained with data segmentation shows the same lung field as in a and b. Voxels with attenuation of −950 HU or lower are depicted in red, and those with attenuation of −500 to −949 HU are depicted in black. (Vascular and other nonparenchymal structures are shown in gray.) To quantify the extent of emphysema, the percentage of the total lung area occupied by voxels with attenuation of −950 HU or lower (ie, the relative low-attenuation area) can be calculated from these segmented CT image data. RadioGraphics, http://pubs.rsna.org/doi/abs/10.1148/rg.301095110

14 Emphysema Pathology Abnormal enlargement of airspaces distal to terminal bronchioles with destruction of alveolar walls

15 Figure 4 Coronal CT image obtained in a 62-year-old man with COPD shows upper-lung–predominant emphysema. The relative low-attenuation area with attenuation of −950 HU or lower (red) is 46.8%, and the percentage of predicted FEV1 is 56.8%. RadioGraphics, http://pubs.rsna.org/doi/abs/10.1148/rg.301095110

16 Figure 5 Coronal CT image obtained in a 72-year-old man shows lower-lung–predominant emphysema. The relative low-attenuation area with attenuation of −950 HU or lower (red) is 45.8%, and the percentage of predicted FEV1 is 45.6%. The extent of lower-lung–predominant emphysema is more closely correlated with the result of pulmonary function testing than the extent of upper-lung–predominant emphysema. (In both figures, black indicates areas with attenuation of −500 to −949 HU and gray indicates vascular and other nonparenchymal structures.) RadioGraphics, http://pubs.rsna.org/doi/abs/10.1148/rg.301095110

17 Figure 8a Volumetric CT-based measurement of airway dimensions. (a) Schema obtained with the region-growing method shows airway segmentation and selection of a bronchial pathway (black line) for measurement. A curved multiplanar reformatted image is reconstructed along the selected pathway, and a short-axis image is reconstructed in a plane exactly perpendicular to the long axis of the airway. The red dot indicates the location of the short-axis image in b. (b) Short-axis image with overlaid diagram shows the radii (red and green lines) used to delimit the inner lumen and calculate its area. From the point of their intersection, the centroid point, rays (blue lines) are drawn over a 360° radius through the airway wall to allow calculation of the airway wall thickness by using the full width at half maximum principle. RadioGraphics, http://pubs.rsna.org/doi/abs/10.1148/rg.301095110

18 Figure 8b Volumetric CT-based measurement of airway dimensions. (a) Schema obtained with the region-growing method shows airway segmentation and selection of a bronchial pathway (black line) for measurement. A curved multiplanar reformatted image is reconstructed along the selected pathway, and a short-axis image is reconstructed in a plane exactly perpendicular to the long axis of the airway. The red dot indicates the location of the short-axis image in b. (b) Short-axis image with overlaid diagram shows the radii (red and green lines) used to delimit the inner lumen and calculate its area. From the point of their intersection, the centroid point, rays (blue lines) are drawn over a 360° radius through the airway wall to allow calculation of the airway wall thickness by using the full width at half maximum principle. RadioGraphics, http://pubs.rsna.org/doi/abs/10.1148/rg.301095110

19 Airway-predominant Rx: medical Small airway disease cannot be visualized directly with current radiographic techniques, calculate: the expiratory- inspiratory attenuation ratio see volumetric CT based measurement Emphysema-predominant Rx: Sx

20 30% of lung has to be destroyed to alter pulmonary function

21 Pulmonary functions Increased total and residual volumes RV(residual volume) >120% predicted Decreased flow volumes FEV Forced Expiratory Volume) <80% predicted Decreased diffusion capacity <80% predicted

22 Alpha 1-Antiprotease deficiency, normally enzyme blocks proteolytic enzymes Panlobular emphysema Lower lobes Common Pi ZZ phenotype 1 in 200, gene 14 Normal phenotype: Pi MM; Pi MZ 60% normal Liver disease in infancy Premature development of emphysema, worse with smoking

23 References Regan EA, Hokanson JE, Murphy JR, et al.. Genetic epidemiology of COPD (COPDGene) study design. COPD 2010;7(1):32–43. [CrossRef] [Medline] SS Kim … D Lynch: Chronic Obstructive Pulmonary Disease: Lobe-based Visual Assessment of Volumetric CT by Using Standard Images— Comparison with Quantitative CT and Pulmonary Function Test in the COPDGene Study Radiology, 2013, Vol.266: 626-635, 10.1148/radiol.12120385 S Matsuoka : Quantitative CT Assessment of COPD


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