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Rapid intra‐operative diagnosis of kidney cancer by attenuated total reflection infrared spectroscopy of tissue smears
Authors:Milda Pucetaite  Martynas Velicka  Vidita Urboniene  Justinas Ceponkus  Rimante Bandzeviciute  Feliksas Jankevicius  Arunas Zelvys  Valdas Sablinskas  Gerald Steiner
Affiliation:1. Department of General Physics and Spectroscopy, Vilnius University, Vilnius, Lithuania;2. Faculty of Medicine, Vilnius University, Vilnius, Lithuania;3. Lithuanian National Cancer Institute, Vilnius, Lithuania;4. Faculty of Medicine Carl Gustav Carus, Clinical Sensoring and Monitoring, Dresden University of Technology, Dresden, Germany
Abstract:Herein, a technique to analyze air‐dried kidney tissue impression smears by means of attenuated total reflection infrared (ATR‐IR) spectroscopy is presented. Spectral tumor markers—absorption bands of glycogen—are identified in the ATR‐IR spectra of the kidney tissue smear samples. Thin kidney tissue cryo‐sections currently used for IR spectroscopic analysis lack such spectral markers as the sample preparation causes irreversible molecular changes in the tissue. In particular, freeze‐thaw cycle results in degradation of the glycogen and reduction or complete dissolution of its content. Supervised spectral classification was applied to the recorded spectra of the smears and the test spectra were classified with a high accuracy of 92% for normal tissue and 94% for tumor tissue, respectively. For further development, we propose that combination of the method with optical fiber ATR probes could potentially be used for rapid real‐time intra‐operative tissue analysis without interfering with either the established protocols of pathological examination or the ordinary workflow of operating surgeon. Such approach could ensure easier transition of the method to clinical applications where it may complement the results of gold standard histopathology examination and aid in more precise resection of kidney tumors. image
Keywords:ATR  FT‐IR spectroscopy  impression smear  kidney cancer
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