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X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study

BACKGROUND: Although advanced medical imaging technologies give detailed diagnostic information, a low-dose, fast, and inexpensive option for early detection of respiratory diseases and follow-ups is still lacking. The novel method of x-ray dark-field chest imaging might fill this gap but has not ye...

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Autores principales: Willer, Konstantin, Fingerle, Alexander A, Noichl, Wolfgang, De Marco, Fabio, Frank, Manuela, Urban, Theresa, Schick, Rafael, Gustschin, Alex, Gleich, Bernhard, Herzen, Julia, Koehler, Thomas, Yaroshenko, Andre, Pralow, Thomas, Zimmermann, Gregor S, Renger, Bernhard, Sauter, Andreas P, Pfeiffer, Daniela, Makowski, Marcus R, Rummeny, Ernst J, Grenier, Philippe A, Pfeiffer, Franz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565798/
https://www.ncbi.nlm.nih.gov/pubmed/34711378
http://dx.doi.org/10.1016/S2589-7500(21)00146-1
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author Willer, Konstantin
Fingerle, Alexander A
Noichl, Wolfgang
De Marco, Fabio
Frank, Manuela
Urban, Theresa
Schick, Rafael
Gustschin, Alex
Gleich, Bernhard
Herzen, Julia
Koehler, Thomas
Yaroshenko, Andre
Pralow, Thomas
Zimmermann, Gregor S
Renger, Bernhard
Sauter, Andreas P
Pfeiffer, Daniela
Makowski, Marcus R
Rummeny, Ernst J
Grenier, Philippe A
Pfeiffer, Franz
author_facet Willer, Konstantin
Fingerle, Alexander A
Noichl, Wolfgang
De Marco, Fabio
Frank, Manuela
Urban, Theresa
Schick, Rafael
Gustschin, Alex
Gleich, Bernhard
Herzen, Julia
Koehler, Thomas
Yaroshenko, Andre
Pralow, Thomas
Zimmermann, Gregor S
Renger, Bernhard
Sauter, Andreas P
Pfeiffer, Daniela
Makowski, Marcus R
Rummeny, Ernst J
Grenier, Philippe A
Pfeiffer, Franz
author_sort Willer, Konstantin
collection PubMed
description BACKGROUND: Although advanced medical imaging technologies give detailed diagnostic information, a low-dose, fast, and inexpensive option for early detection of respiratory diseases and follow-ups is still lacking. The novel method of x-ray dark-field chest imaging might fill this gap but has not yet been studied in living humans. Enabling the assessment of microstructural changes in lung parenchyma, this technique presents a more sensitive alternative to conventional chest x-rays, and yet requires only a fraction of the dose applied in CT. We studied the application of this technique to assess pulmonary emphysema in patients with chronic obstructive pulmonary disease (COPD). METHODS: In this diagnostic accuracy study, we designed and built a novel dark-field chest x-ray system (Technical University of Munich, Munich, Germany)—which is also capable of simultaneously acquiring a conventional thorax radiograph (7 s, 0·035 mSv effective dose). Patients who had undergone a medically indicated chest CT were recruited from the department of Radiology and Pneumology of our site (Klinikum rechts der Isar, Technical University of Munich, Munich, Germany). Patients with pulmonary pathologies, or conditions other than COPD, that might influence lung parenchyma were excluded. For patients with different disease stages of pulmonary emphysema, x-ray dark-field images and CT images were acquired and visually assessed by five readers. Pulmonary function tests (spirometry and body plethysmography) were performed for every patient and for a subgroup of patients the measurement of diffusion capacity was performed. Individual patient datasets were statistically evaluated using correlation testing, rank-based analysis of variance, and pair-wise post-hoc comparison. FINDINGS: Between October, 2018 and December, 2019 we enrolled 77 patients. Compared with CT-based parameters (quantitative emphysema ρ=–0·27, p=0·089 and visual emphysema ρ=–0·45, p=0·0028), the dark-field signal (ρ=0·62, p<0·0001) yields a stronger correlation with lung diffusion capacity in the evaluated cohort. Emphysema assessment based on dark-field chest x-ray features yields consistent conclusions with findings from visual CT image interpretation and shows improved diagnostic performance than conventional clinical tests characterising emphysema. Pair-wise comparison of corresponding test parameters between adjacent visual emphysema severity groups (CT-based, reference standard) showed higher effect sizes. The mean effect size over the group comparisons (absent–trace, trace–mild, mild–moderate, and moderate–confluent or advanced destructive visual emphysema grades) for the COPD assessment test score is 0·21, for forced expiratory volume in 1 s (FEV(1))/functional vital capacity is 0·25, for FEV(1)% of predicted is 0·23, for residual volume % of predicted is 0·24, for CT emphysema index is 0·35, for dark-field signal homogeneity within lungs is 0·38, for dark-field signal texture within lungs is 0·38, and for dark-field-based emphysema severity is 0·42. INTERPRETATION: X-ray dark-field chest imaging allows the diagnosis of pulmonary emphysema in patients with COPD because this technique provides relevant information representing the structural condition of lung parenchyma. This technique might offer a low radiation dose alternative to CT in COPD and potentially other lung disorders. FUNDING: European Research Council, Deutsche Forschungsgemeinschaft, Royal Philips, and Karlsruhe Nano Micro Facility.
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spelling pubmed-85657982021-11-09 X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study Willer, Konstantin Fingerle, Alexander A Noichl, Wolfgang De Marco, Fabio Frank, Manuela Urban, Theresa Schick, Rafael Gustschin, Alex Gleich, Bernhard Herzen, Julia Koehler, Thomas Yaroshenko, Andre Pralow, Thomas Zimmermann, Gregor S Renger, Bernhard Sauter, Andreas P Pfeiffer, Daniela Makowski, Marcus R Rummeny, Ernst J Grenier, Philippe A Pfeiffer, Franz Lancet Digit Health Articles BACKGROUND: Although advanced medical imaging technologies give detailed diagnostic information, a low-dose, fast, and inexpensive option for early detection of respiratory diseases and follow-ups is still lacking. The novel method of x-ray dark-field chest imaging might fill this gap but has not yet been studied in living humans. Enabling the assessment of microstructural changes in lung parenchyma, this technique presents a more sensitive alternative to conventional chest x-rays, and yet requires only a fraction of the dose applied in CT. We studied the application of this technique to assess pulmonary emphysema in patients with chronic obstructive pulmonary disease (COPD). METHODS: In this diagnostic accuracy study, we designed and built a novel dark-field chest x-ray system (Technical University of Munich, Munich, Germany)—which is also capable of simultaneously acquiring a conventional thorax radiograph (7 s, 0·035 mSv effective dose). Patients who had undergone a medically indicated chest CT were recruited from the department of Radiology and Pneumology of our site (Klinikum rechts der Isar, Technical University of Munich, Munich, Germany). Patients with pulmonary pathologies, or conditions other than COPD, that might influence lung parenchyma were excluded. For patients with different disease stages of pulmonary emphysema, x-ray dark-field images and CT images were acquired and visually assessed by five readers. Pulmonary function tests (spirometry and body plethysmography) were performed for every patient and for a subgroup of patients the measurement of diffusion capacity was performed. Individual patient datasets were statistically evaluated using correlation testing, rank-based analysis of variance, and pair-wise post-hoc comparison. FINDINGS: Between October, 2018 and December, 2019 we enrolled 77 patients. Compared with CT-based parameters (quantitative emphysema ρ=–0·27, p=0·089 and visual emphysema ρ=–0·45, p=0·0028), the dark-field signal (ρ=0·62, p<0·0001) yields a stronger correlation with lung diffusion capacity in the evaluated cohort. Emphysema assessment based on dark-field chest x-ray features yields consistent conclusions with findings from visual CT image interpretation and shows improved diagnostic performance than conventional clinical tests characterising emphysema. Pair-wise comparison of corresponding test parameters between adjacent visual emphysema severity groups (CT-based, reference standard) showed higher effect sizes. The mean effect size over the group comparisons (absent–trace, trace–mild, mild–moderate, and moderate–confluent or advanced destructive visual emphysema grades) for the COPD assessment test score is 0·21, for forced expiratory volume in 1 s (FEV(1))/functional vital capacity is 0·25, for FEV(1)% of predicted is 0·23, for residual volume % of predicted is 0·24, for CT emphysema index is 0·35, for dark-field signal homogeneity within lungs is 0·38, for dark-field signal texture within lungs is 0·38, and for dark-field-based emphysema severity is 0·42. INTERPRETATION: X-ray dark-field chest imaging allows the diagnosis of pulmonary emphysema in patients with COPD because this technique provides relevant information representing the structural condition of lung parenchyma. This technique might offer a low radiation dose alternative to CT in COPD and potentially other lung disorders. FUNDING: European Research Council, Deutsche Forschungsgemeinschaft, Royal Philips, and Karlsruhe Nano Micro Facility. Elsevier Ltd 2021-10-25 /pmc/articles/PMC8565798/ /pubmed/34711378 http://dx.doi.org/10.1016/S2589-7500(21)00146-1 Text en © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Articles
Willer, Konstantin
Fingerle, Alexander A
Noichl, Wolfgang
De Marco, Fabio
Frank, Manuela
Urban, Theresa
Schick, Rafael
Gustschin, Alex
Gleich, Bernhard
Herzen, Julia
Koehler, Thomas
Yaroshenko, Andre
Pralow, Thomas
Zimmermann, Gregor S
Renger, Bernhard
Sauter, Andreas P
Pfeiffer, Daniela
Makowski, Marcus R
Rummeny, Ernst J
Grenier, Philippe A
Pfeiffer, Franz
X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study
title X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study
title_full X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study
title_fullStr X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study
title_full_unstemmed X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study
title_short X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study
title_sort x-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565798/
https://www.ncbi.nlm.nih.gov/pubmed/34711378
http://dx.doi.org/10.1016/S2589-7500(21)00146-1
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