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Diagnosing and Mapping Pulmonary Emphysema on X-Ray Projection Images: Incremental Value of Grating-Based X-Ray Dark-Field Imaging

PURPOSE: To assess whether grating-based X-ray dark-field imaging can increase the sensitivity of X-ray projection images in the diagnosis of pulmonary emphysema and allow for a more accurate assessment of emphysema distribution. MATERIALS AND METHODS: Lungs from three mice with pulmonary emphysema...

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Autores principales: Meinel, Felix G., Schwab, Felix, Schleede, Simone, Bech, Martin, Herzen, Julia, Achterhold, Klaus, Auweter, Sigrid, Bamberg, Fabian, Yildirim, Ali Ö., Bohla, Alexander, Eickelberg, Oliver, Loewen, Rod, Gifford, Martin, Ruth, Ronald, Reiser, Maximilian F., Pfeiffer, Franz, Nikolaou, Konstantin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3608711/
https://www.ncbi.nlm.nih.gov/pubmed/23555692
http://dx.doi.org/10.1371/journal.pone.0059526
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author Meinel, Felix G.
Schwab, Felix
Schleede, Simone
Bech, Martin
Herzen, Julia
Achterhold, Klaus
Auweter, Sigrid
Bamberg, Fabian
Yildirim, Ali Ö.
Bohla, Alexander
Eickelberg, Oliver
Loewen, Rod
Gifford, Martin
Ruth, Ronald
Reiser, Maximilian F.
Pfeiffer, Franz
Nikolaou, Konstantin
author_facet Meinel, Felix G.
Schwab, Felix
Schleede, Simone
Bech, Martin
Herzen, Julia
Achterhold, Klaus
Auweter, Sigrid
Bamberg, Fabian
Yildirim, Ali Ö.
Bohla, Alexander
Eickelberg, Oliver
Loewen, Rod
Gifford, Martin
Ruth, Ronald
Reiser, Maximilian F.
Pfeiffer, Franz
Nikolaou, Konstantin
author_sort Meinel, Felix G.
collection PubMed
description PURPOSE: To assess whether grating-based X-ray dark-field imaging can increase the sensitivity of X-ray projection images in the diagnosis of pulmonary emphysema and allow for a more accurate assessment of emphysema distribution. MATERIALS AND METHODS: Lungs from three mice with pulmonary emphysema and three healthy mice were imaged ex vivo using a laser-driven compact synchrotron X-ray source. Median signal intensities of transmission (T), dark-field (V) and a combined parameter (normalized scatter) were compared between emphysema and control group. To determine the diagnostic value of each parameter in differentiating between healthy and emphysematous lung tissue, a receiver-operating-characteristic (ROC) curve analysis was performed both on a per-pixel and a per-individual basis. Parametric maps of emphysema distribution were generated using transmission, dark-field and normalized scatter signal and correlated with histopathology. RESULTS: Transmission values relative to water were higher for emphysematous lungs than for control lungs (1.11 vs. 1.06, p<0.001). There was no difference in median dark-field signal intensities between both groups (0.66 vs. 0.66). Median normalized scatter was significantly lower in the emphysematous lungs compared to controls (4.9 vs. 10.8, p<0.001), and was the best parameter for differentiation of healthy vs. emphysematous lung tissue. In a per-pixel analysis, the area under the ROC curve (AUC) for the normalized scatter value was significantly higher than for transmission (0.86 vs. 0.78, p<0.001) and dark-field value (0.86 vs. 0.52, p<0.001) alone. Normalized scatter showed very high sensitivity for a wide range of specificity values (94% sensitivity at 75% specificity). Using the normalized scatter signal to display the regional distribution of emphysema provides color-coded parametric maps, which show the best correlation with histopathology. CONCLUSION: In a murine model, the complementary information provided by X-ray transmission and dark-field images adds incremental diagnostic value in detecting pulmonary emphysema and visualizing its regional distribution as compared to conventional X-ray projections.
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spelling pubmed-36087112013-04-03 Diagnosing and Mapping Pulmonary Emphysema on X-Ray Projection Images: Incremental Value of Grating-Based X-Ray Dark-Field Imaging Meinel, Felix G. Schwab, Felix Schleede, Simone Bech, Martin Herzen, Julia Achterhold, Klaus Auweter, Sigrid Bamberg, Fabian Yildirim, Ali Ö. Bohla, Alexander Eickelberg, Oliver Loewen, Rod Gifford, Martin Ruth, Ronald Reiser, Maximilian F. Pfeiffer, Franz Nikolaou, Konstantin PLoS One Research Article PURPOSE: To assess whether grating-based X-ray dark-field imaging can increase the sensitivity of X-ray projection images in the diagnosis of pulmonary emphysema and allow for a more accurate assessment of emphysema distribution. MATERIALS AND METHODS: Lungs from three mice with pulmonary emphysema and three healthy mice were imaged ex vivo using a laser-driven compact synchrotron X-ray source. Median signal intensities of transmission (T), dark-field (V) and a combined parameter (normalized scatter) were compared between emphysema and control group. To determine the diagnostic value of each parameter in differentiating between healthy and emphysematous lung tissue, a receiver-operating-characteristic (ROC) curve analysis was performed both on a per-pixel and a per-individual basis. Parametric maps of emphysema distribution were generated using transmission, dark-field and normalized scatter signal and correlated with histopathology. RESULTS: Transmission values relative to water were higher for emphysematous lungs than for control lungs (1.11 vs. 1.06, p<0.001). There was no difference in median dark-field signal intensities between both groups (0.66 vs. 0.66). Median normalized scatter was significantly lower in the emphysematous lungs compared to controls (4.9 vs. 10.8, p<0.001), and was the best parameter for differentiation of healthy vs. emphysematous lung tissue. In a per-pixel analysis, the area under the ROC curve (AUC) for the normalized scatter value was significantly higher than for transmission (0.86 vs. 0.78, p<0.001) and dark-field value (0.86 vs. 0.52, p<0.001) alone. Normalized scatter showed very high sensitivity for a wide range of specificity values (94% sensitivity at 75% specificity). Using the normalized scatter signal to display the regional distribution of emphysema provides color-coded parametric maps, which show the best correlation with histopathology. CONCLUSION: In a murine model, the complementary information provided by X-ray transmission and dark-field images adds incremental diagnostic value in detecting pulmonary emphysema and visualizing its regional distribution as compared to conventional X-ray projections. Public Library of Science 2013-03-26 /pmc/articles/PMC3608711/ /pubmed/23555692 http://dx.doi.org/10.1371/journal.pone.0059526 Text en © 2013 Meinel et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Meinel, Felix G.
Schwab, Felix
Schleede, Simone
Bech, Martin
Herzen, Julia
Achterhold, Klaus
Auweter, Sigrid
Bamberg, Fabian
Yildirim, Ali Ö.
Bohla, Alexander
Eickelberg, Oliver
Loewen, Rod
Gifford, Martin
Ruth, Ronald
Reiser, Maximilian F.
Pfeiffer, Franz
Nikolaou, Konstantin
Diagnosing and Mapping Pulmonary Emphysema on X-Ray Projection Images: Incremental Value of Grating-Based X-Ray Dark-Field Imaging
title Diagnosing and Mapping Pulmonary Emphysema on X-Ray Projection Images: Incremental Value of Grating-Based X-Ray Dark-Field Imaging
title_full Diagnosing and Mapping Pulmonary Emphysema on X-Ray Projection Images: Incremental Value of Grating-Based X-Ray Dark-Field Imaging
title_fullStr Diagnosing and Mapping Pulmonary Emphysema on X-Ray Projection Images: Incremental Value of Grating-Based X-Ray Dark-Field Imaging
title_full_unstemmed Diagnosing and Mapping Pulmonary Emphysema on X-Ray Projection Images: Incremental Value of Grating-Based X-Ray Dark-Field Imaging
title_short Diagnosing and Mapping Pulmonary Emphysema on X-Ray Projection Images: Incremental Value of Grating-Based X-Ray Dark-Field Imaging
title_sort diagnosing and mapping pulmonary emphysema on x-ray projection images: incremental value of grating-based x-ray dark-field imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3608711/
https://www.ncbi.nlm.nih.gov/pubmed/23555692
http://dx.doi.org/10.1371/journal.pone.0059526
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