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

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 commit...

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Publicado en:Radiology Vol. 269; no. 2; pp. 427 - 434
Autores principales: Yaroshenko, Andre, Meinel, Felix G, Bech, Martin, Tapfer, Arne, Velroyen, Astrid, Schleede, Simone, Auweter, Sigrid, Bohla, Alexander, Yildirim, Ali Ö, Nikolaou, Konstantin, Bamberg, Fabian, Eickelberg, Oliver, Reiser, Maximilian F, Pfeiffer, Franz
Formato: research Journal Article
Publicado: Wolters Kluwer Health 2013 Nov
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2013 Nov
      vid: 269
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      pub: Wolters Kluwer Health
      place: New York, New York
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        NLM23696682
        2012346476
        10.1148/radiol.13122413
        NLM23696682
        107916185
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        atl: Pulmonary emphysema diagnosis with a preclinical small-animal X-ray dark-field scatter-contrast scanner.
      aug:
        au:
          Yaroshenko, Andre
          Meinel, Felix G
          Bech, Martin
          Tapfer, Arne
          Velroyen, Astrid
          Schleede, Simone
          Auweter, Sigrid
          Bohla, Alexander
          Yildirim, Ali Ö
          Nikolaou, Konstantin
          Bamberg, Fabian
          Eickelberg, Oliver
          Reiser, Maximilian F
          Pfeiffer, Franz
        affil: Department of Physics and Institute of Medical Engineering, Technische Universität München, James-Franck-Strasse 1, 85748 Garching, Germany; Institute of Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany; Comprehensive Pneumology Center, Institute of Lung Biology and Disease, Helmholtz Zentrum Munich and Ludwig-Maximilians-University Hospital Munich, Neuherberg, Germany.
      sug:
        subj:
          Pulmonary Emphysema Radiography
          Tomography, X-Ray Computed Methods
          Animals
          Equipment Design
          Female
          Mice
          Radiographic Image Interpretation, Computer-Assisted
          Tomography, X-Ray Computed Equipment and Supplies
          Female
      ab: 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 dark-field 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.Supplemental Material: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.13122413/-/DC1.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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