Qualitative and Quantitative Assessment of Emphysema Using Dark-Field Chest Radiography
Urban T, Gassert FT, Frank M, Willer K, Noichl W, Buchberger P, Schick RC, Koehler T, Bodden JH, Fingerle AA, Sauter AP, Makowski MR, Pfeiffer F, Pfeiffer D (2022)
Publication Type: Journal article
Publication year: 2022
Journal
Book Volume: 303
Pages Range: 119-127
Journal Issue: 1
Abstract
Background: Dark-field chest radiography allows for assessment of lung alveolar structure by exploiting wave optical properties of x-rays. Purpose: To evaluate the qualitative and quantitative features of dark-field chest radiography in participants with pulmonary emphysema as compared with those in healthy control subjects. Materials and Methods: In this prospective study conducted from October 2018 to October 2020, participants aged at least 18 years who underwent clinically indicated chest CT were screened for participation. Inclusion criteria were an ability to consent to the procedure and stand upright without help. Exclusion criteria were pregnancy, serious medical conditions, and any lung condition besides emphysema that was visible on CT images. Participants were examined with a clinical dark-field chest radiography prototype that simultaneously acquired both attenuation-based radiographs and dark-field chest radiographs. Dark-field coefficients were tested for correlation with each participant's CT-based emphysema index using the Spearman correlation test. Dark-field coefficients of adjacent groups in the semiquantitative Fleischner Society emphysema grading system were compared using a Wilcoxon Mann-Whitney U test. The capability of the dark-field coefficient to enable detection of emphysema was evaluated with receiver operating characteristics curve analysis. Results: A total of 83 participants (mean age, 65 years ± 12 [standard deviation]; 52 men) were studied. When compared with images from healthy participants, dark-field chest radiographs in participants with emphysema had a lower and inhomogeneous dark-field signal intensity. The locations of focal signal intensity loss on dark-field images corresponded well with emphysematous areas found on CT images. The dark-field coefficient was negatively correlated with the quantitative CT-based emphysema index (r = -0.54, P < .001). Participants with Fleischner Society grades of mild, moderate, confluent, or advanced destructive emphysema exhibited a lower dark-field coefficient than those without emphysema (eg, 1.3 m-1 ± 0.6 for participants with confluent or advanced destructive emphysema vs 2.6 m-1 ± 0.4 for participants without emphysema; P < .001). The area under the receiver operating characteristic curve for detection of mild emphysema was 0.79. Conclusion: Pulmonary emphysema leads to reduced signal intensity on dark-field chest radiographs, showing the technique has potential as a diagnostic tool in the assessment of lung diseases.
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Germany (DE)How to cite
APA:
Urban, T., Gassert, F.T., Frank, M., Willer, K., Noichl, W., Buchberger, P.,... Pfeiffer, D. (2022). Qualitative and Quantitative Assessment of Emphysema Using Dark-Field Chest Radiography. Radiology, 303(1), 119-127. https://doi.org/10.1148/radiol.212025
MLA:
Urban, Theresa, et al. "Qualitative and Quantitative Assessment of Emphysema Using Dark-Field Chest Radiography." Radiology 303.1 (2022): 119-127.
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