Research Papers: Imaging

Infrared spectroscopic imaging of renal tumor tissue

[+] Author Affiliations
Valdas Šablinskas, Vidita Urbonienė, Justinas Ceponkus

Vilnius University, Faculty of Physics, Sauletekio av. 9, LT-10222 Vilnius, Lithuania

Arvydas Laurinavicius, Darius Dasevicius

Vilnius University, Faculty of Medicine and National Center of Pathology, Santariškiu str. 2, LT- 08661 Vilnius, Lithuania

Feliksas Jankevičius

Vilnius University Hospital Santariskiu klinikos, Santariškiu str. 2, LT- 08661 Vilnius, Lithuania

Vaiva Hendrixson

Vilnius University, Faculty of Medicine, Department of Physiology, Biochemistry and Laboratory Medicine, LT-03101 Vilnius, Lithuania

Edmund Koch, Gerald Steiner

Dresden University of Technology, Faculty of Medicine, Clinical Sensoring and Monitoring, Fetscher Str. 74, 01307 Dresden, Germany

J. Biomed. Opt. 16(9), 096006 (September 02, 2011). doi:10.1117/1.3622292
History: Received February 11, 2011; Revised June 30, 2011; Accepted July 11, 2011; Published September 02, 2011; Online September 02, 2011
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Fourier transform infrared (FTIR) spectroscopic imaging has been used to probe the biochemical composition of human renal tumor tissue and adjacent normal tissue. Freshly resected renal tumor tissue from surgery was prepared as a thin cryosection and examined by FTIR spectroscopic imaging. Tissue types could be discriminated by utilizing a combination of fuzzy k-means cluster analysis and a supervised classification algorithm based on a linear discriminant analysis. The spectral classification is compared and contrasted with the histological stained image. It is further shown that renal tumor cells have spread in adjacent normal tissue. This study demonstrates that FTIR spectroscopic imaging can potentially serve as a fast and objective approach for discrimination of renal tumor tissue from normal tissue and even in the detection of tumor infiltration in adjacent tissue.

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© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation

Valdas Šablinskas ; Vidita Urbonienė ; Justinas Ceponkus ; Arvydas Laurinavicius ; Darius Dasevicius, et al.
"Infrared spectroscopic imaging of renal tumor tissue", J. Biomed. Opt. 16(9), 096006 (September 02, 2011). ; http://dx.doi.org/10.1117/1.3622292


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