AI Article Synopsis

  • Lung cancer is the leading cause of cancer deaths globally, responsible for about 1.5 million fatalities each year, primarily due to long-term smoking.
  • Numerous studies using small animals are being conducted to understand lung cancer better and develop treatment options.
  • The proposed X-ray dark-field imaging technique shows greater accuracy in detecting lung tumors in living mice compared to traditional imaging methods, paving the way for future research and potential human applications.

Article Abstract

Accounting for about 1.5 million deaths annually, lung cancer is the prevailing cause of cancer deaths worldwide, mostly associated with long-term smoking effects. Numerous small-animal studies are performed currently in order to better understand the pathogenesis of the disease and to develop treatment strategies. Within this letter, we propose to exploit X-ray dark-field imaging as a novel diagnostic tool for the detection of lung cancer on projection radiographs. Here, we demonstrate in living mice bearing lung tumors, that X-ray dark-field radiography provides significantly improved lung tumor detection rates without increasing the number of false-positives, especially in the case of small and superimposed nodules, when compared to conventional absorption-based imaging. While this method still needs to be adapted to larger mammals and finally humans, the technique presented here can already serve as a valuable tool in evaluating novel lung cancer therapies, tested in mice and other small animal models.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428469PMC
http://dx.doi.org/10.1038/s41598-017-00489-xDOI Listing

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