Depiction of pneumothoraces in a large animal model using x-ray dark-field radiography

作者:Hellbach Katharina; Baehr Andrea; De Marco Fabio; Willer Konstantin; Gromann Lukas B; Herzen Julia; Dmochewitz Michaela; Auweter Sigrid; Fingerle Alexander A; Noeel Peter B; Rummeny Ernst J; Yaroshenko Andre; Maack Hanns Ingo; Pralow Thomas; van der Heijden Hendrik; Wieberneit Nataly; Proksa Roland; Koehler Thomas; Rindt Karsten; Schroeter Tobias J; Mohr Juergen; Bamberg Fabian; Ertl Wagner Birgit; Pfeiffer Franz; Reiser Maximilian F
来源:Scientific Reports, 2018, 8(1): 2602.
DOI:10.1038/s41598-018-20985-y

摘要

The aim of this study was to assess the diagnostic value of x-ray dark-field radiography to detect pneumothoraces in a pig model. Eight pigs were imaged with an experimental grating-based large-animal dark-field scanner before and after induction of a unilateral pneumothorax. Image contrast-tonoise ratios between lung tissue and the air-filled pleural cavity were quantified for transmission and dark-field radiograms. The projected area in the object plane of the inflated lung was measured in dark-field images to quantify the collapse of lung parenchyma due to a pneumothorax. Means and standard deviations for lung sizes and signal intensities from dark-field and transmission images were tested for statistical significance using Student's two-tailed t-test for paired samples. The contrast-to-noise ratio between the air-filled pleural space of lateral pneumothoraces and lung tissue was significantly higher in the dark-field (3.65 +/- 0.9) than in the transmission images (1.13 +/- 1.1; p = 0.002). In case of dorsally located pneumothoraces, a significant decrease (-20.5%; p > 0.0001) in the projected area of inflated lung parenchyma was found after a pneumothorax was induced. Therefore, the detection of pneumothoraces in x-ray dark-field radiography was facilitated compared to transmission imaging in a large animal model.

  • 出版日期2018-2-8