Rapid intra-operative diagnosis of kidney cancer by attenuated total reflection infrared spectroscopy of tissue smears

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Rapid intra-operative diagnosis of kidney cancer by attenuated total reflection infrared spectroscopy of tissue smears. / Pucetaite, Milda; Velicka, Martynas; Urboniene, Vidita; Ceponkus, Justinas; Bandzeviciute, Rimante; Jankevicius, Feliksas; Zelvys, Arunas; Sablinskas, Valdas; Steiner, Gerald.

I: Journal of Biophotonics, Vol. 11, Nr. 5, e201700260, 05.2018.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Harvard

Pucetaite, M, Velicka, M, Urboniene, V, Ceponkus, J, Bandzeviciute, R, Jankevicius, F, Zelvys, A, Sablinskas, V & Steiner, G 2018, 'Rapid intra-operative diagnosis of kidney cancer by attenuated total reflection infrared spectroscopy of tissue smears', Journal of Biophotonics, vol. 11, nr. 5, e201700260. https://doi.org/10.1002/jbio.201700260

APA

Pucetaite, M., Velicka, M., Urboniene, V., Ceponkus, J., Bandzeviciute, R., Jankevicius, F., Zelvys, A., Sablinskas, V., & Steiner, G. (2018). Rapid intra-operative diagnosis of kidney cancer by attenuated total reflection infrared spectroscopy of tissue smears. Journal of Biophotonics, 11(5), [e201700260]. https://doi.org/10.1002/jbio.201700260

CBE

Pucetaite M, Velicka M, Urboniene V, Ceponkus J, Bandzeviciute R, Jankevicius F, Zelvys A, Sablinskas V, Steiner G. 2018. Rapid intra-operative diagnosis of kidney cancer by attenuated total reflection infrared spectroscopy of tissue smears. Journal of Biophotonics. 11(5):Article e201700260. https://doi.org/10.1002/jbio.201700260

MLA

Vancouver

Author

Pucetaite, Milda ; Velicka, Martynas ; Urboniene, Vidita ; Ceponkus, Justinas ; Bandzeviciute, Rimante ; Jankevicius, Feliksas ; Zelvys, Arunas ; Sablinskas, Valdas ; Steiner, Gerald. / Rapid intra-operative diagnosis of kidney cancer by attenuated total reflection infrared spectroscopy of tissue smears. I: Journal of Biophotonics. 2018 ; Vol. 11, Nr. 5.

RIS

TY - JOUR

T1 - Rapid intra-operative diagnosis of kidney cancer by attenuated total reflection infrared spectroscopy of tissue smears

AU - Pucetaite, Milda

AU - Velicka, Martynas

AU - Urboniene, Vidita

AU - Ceponkus, Justinas

AU - Bandzeviciute, Rimante

AU - Jankevicius, Feliksas

AU - Zelvys, Arunas

AU - Sablinskas, Valdas

AU - Steiner, Gerald

N1 - © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

PY - 2018/5

Y1 - 2018/5

N2 - 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.

AB - 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.

U2 - 10.1002/jbio.201700260

DO - 10.1002/jbio.201700260

M3 - Article

C2 - 29316381

VL - 11

JO - Journal of Biophotonics

JF - Journal of Biophotonics

SN - 1864-063X

IS - 5

M1 - e201700260

ER -