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

Phys Med. 2014 May;30(3):352-7. doi: 10.1016/j.ejmp.2013.11.001. Epub 2013 Dec 7.

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.

Keywords: Chest radiography; Lung tumors; X-ray dark-field imaging; X-ray phase-contrast imaging.

MeSH terms

  • Animals
  • Feasibility Studies
  • Image Processing, Computer-Assisted / methods*
  • Lung Neoplasms / diagnostic imaging*
  • Lung Neoplasms / pathology
  • Mice
  • Multimodal Imaging / methods*
  • Radiation Dosage
  • Signal-To-Noise Ratio
  • Tomography, X-Ray Computed / methods*