X-ray fluorescence-based differentiation of neck tissues in a bovine model: Implications for potential intraoperative use

G. Lahav, Sana Shilstein, Sergei Shchemelinin, S. Ikher, D. Halperin, Rachel Chechik, Amos Breskin

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

This study explores the possibility of using X-ray fluorescence (XRF)-based trace-element analysis for differentiation of various bovine neck tissues. It is motivated by the requirement for an intra-operative in-vivo method for identifying parathyroid glands, particularly beneficial in surgery in the central neck-compartment. Using a dedicated X-ray spectral analysis, we examined ex-vivo XRF spectra from various histologically verified fresh neck tissues from cow, which was chosen as the animal model; these tissues included fat, muscle, thyroid, parathyroid, lymph nodes, thymus and salivary gland. The data for six trace elements K, Fe, Zn, Br, Rb and I, provided the basis for tissue identification by using multi-parameter analysis of the recorded XRF spectra. It is shown that the combination of XRF signals from these elements is sufficient for a reliable tissue differentiation. The average total abundance of these trace elements was evaluated in each tissue type, including parathyroid and salivary gland for the first time. It is shown that some tissues can unequivocally be identified on the basis of the abundance of a single element, for example, iodine and zinc for the identification of thyroid gland and muscle, respectively.
Original languageEnglish
Pages (from-to)233-241
Number of pages9
JournalPhysica Medica-European Journal Of Medical Physics
Volume31
Issue number3
DOIs
Publication statusPublished - 1 May 2015

Funding

We would like to thank Dr. Moshe Ezer for his assistance in harvesting the animal tissues, Dr. David Vartsky for fruitful discussions and anonymous reviewers for very important and useful comments.

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Radiology Nuclear Medicine and imaging
  • General Physics and Astronomy

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