Lung tumors on multimodal radiographs derived from grating-based X-ray imaging - A feasibility study

Research output: Contribution to journalArticle

Abstract

Purpose: The purpose of this study was to assess whether grating-based X-ray imaging may have a role in imaging of pulmonary nodules on radiographs. Materials and methods: A mouse lung containing multiple lung tumors was imaged using a small-animal scanner with a conventional X-ray source and a grating interferometer for phase-contrast imaging. We qualitatively compared the signal characteristics of lung nodules on transmission, dark-field and phase-contrast images. Furthermore, we quantitatively compared signal characteristics of lung tumors and the adjacent lung tissue and calculated the corresponding contrast-to-noise ratios. Results: Of the 5 tumors visualized on the transmission image, 3/5 tumors were clearly visualized and 1 tumor was faintly visualized in the dark-field image as areas of decreased small angle scattering. In the phase-contrast images, 3/5 tumors were clearly visualized, while the remaining 2 tumors were faintly visualized by the phase-shift occurring at their edges. No additional tumors were visualized in either the dark-field or phase-contrast images. Compared to the adjacent lung tissue, lung tumors were characterized by a significant decrease in transmission signal (median 0.86 vs. 0.91, p = 0.04) and increase in dark-field signal (median 0.71 vs. 0.65, p = 0.04). Median contrast-to-noise ratios for the visualization of lung nodules were 4.4 for transmission images and 1.7 for dark-field images (p = 0.04). Conclusion: Lung nodules can be visualized on all three radiograph modalities derived from grating-based X-ray imaging. However, our initial data suggest that grating-based multimodal X-ray imaging does not increase the sensitivity of chest radiographs for the detection of lung nodules. (C) 2013 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Details

Authors
  • Felix G. Meinel
  • Felix Schwab
  • Andre Yaroshenko
  • Astrid Velroyen
  • Martin Bech
  • Katharina Hellbach
  • Jeanette Fuchs
  • Thorsten Stiewe
  • Ali Oe Yildirim
  • Fabian Bamberg
  • Maximilian F. Reiser
  • Franz Pfeiffer
  • Konstantin Nikolaou
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Radiology, Nuclear Medicine and Medical Imaging

Keywords

  • X-ray phase-contrast imaging, X-ray dark-field imaging, Chest, radiography, Lung tumors
Original languageEnglish
Pages (from-to)352-357
JournalPhysica Medica
Volume30
Issue number3
Publication statusPublished - 2014
Publication categoryResearch
Peer-reviewedYes