Literature DB >> 35014904

Qualitative and Quantitative Assessment of Emphysema Using Dark-Field Chest Radiography.

Theresa Urban1, Florian T Gassert1, Manuela Frank1, Konstantin Willer1, Wolfgang Noichl1, Philipp Buchberger1, Rafael C Schick1, Thomas Koehler1, Jannis H Bodden1, Alexander A Fingerle1, Andreas P Sauter1, Marcus R Makowski1, Franz Pfeiffer1, Daniela Pfeiffer1.   

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. © RSNA, 2022 See also the editorial by Hatabu and Madore in this issue.

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Year:  2022        PMID: 35014904     DOI: 10.1148/radiol.212025

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  3 in total

1.  Dark-Field Chest Radiography of Combined Pulmonary Fibrosis and Emphysema.

Authors:  Florian T Gassert; Theresa Urban; Daniela Pfeiffer; Franz Pfeiffer
Journal:  Radiol Cardiothorac Imaging       Date:  2022-08-18

2.  Explainable emphysema detection on chest radiographs with deep learning.

Authors:  Erdi Çallı; Keelin Murphy; Ernst T Scholten; Steven Schalekamp; Bram van Ginneken
Journal:  PLoS One       Date:  2022-07-28       Impact factor: 3.752

3.  Computed Tomography Imaging in ILD: New Trends for the Clinician.

Authors:  Gregor S Zimmermann
Journal:  J Clin Med       Date:  2022-10-09       Impact factor: 4.964

  3 in total

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