Pulmonary emphysema diagnosis with a preclinical small-animal x-ray dark-field scatter-contrast scanner

Andre Yaroshenko, Felix G. Meinel, Martin Bech, Arne Tapfer, Astrid Velroyen, Simone Schleede, Sigrid Auweter, Alexander Bohla, Ali Ö Yildirim, Konstantin Nikolaou, Fabian Bamberg, Oliver Eickelberg, Maximilian F. Reiser, Franz Pfeiffer

Research output: Contribution to journalArticlepeer-review

105 Scopus citations

Abstract

Purpose: To test the hypothesis that the joint distribution of x-ray transmission and dark-field signals obtained with a compact cone-beam preclinical scanner with a polychromatic source can be used to diagnose pulmonary emphysema in ex vivo murine lungs. Materials and Methods: The animal care committee approved this study. Three excised murine lungs with pulmonary emphysema and three excised murine control lungs were imaged ex vivo by using a grating-based micro-computed tomographic (CT) scanner. To evaluate the diagnostic value, the natural logarithm of relative transmission and the natural logarithm of darkfield scatter signal were plotted on a per-pixel basis on a scatterplot. Probability density function was fit to the joint distribution by using principle component analysis. An emphysema map was calculated based on the fitted probability density function. Results: The two-dimensional scatterplot showed a characteristic difference between control and emphysematous lungs. Control lungs had lower average median logarithmic transmission (-0.29 vs -0.18, P =.1) and lower average dark-field signal (-0.54 vs -0.37, P =.1) than emphysematous lungs. The angle to the vertical axis of the fitted regions also varied significantly (7.8° for control lungs vs 15.9° for emphysematous lungs). The calculated emphysema distribution map showed good agreement with histologic findings. Conclusion: X-ray dark-field scatter images of murine lungs obtained with a preclinical scanner can be used in the diagnosis of pulmonary emphysema.

Original languageEnglish
Pages (from-to)427-433
Number of pages7
JournalRadiology
Volume269
Issue number2
DOIs
StatePublished - Nov 2013

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