Toward complete oral cavity cancer resection using a handheld diffuse reflectance spectroscopy probe

Journal Article (2018)
Authors

Susan G. De Koning (Antoni van Leeuwenhoek Ziekenhuis)

E. J.M. Baltussen (Antoni van Leeuwenhoek Ziekenhuis)

M. B. Karakullukcu (Antoni van Leeuwenhoek Ziekenhuis)

Behdad Dashtbozorg (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Laura A. Smit (Antoni van Leeuwenhoek Ziekenhuis)

R. Dirven (Antoni van Leeuwenhoek Ziekenhuis)

Bernardus H.W. Hendriks (Philips Research, TU Delft - Medical Instruments & Bio-Inspired Technology)

H. J.C.M. Sterenborg (Antoni van Leeuwenhoek Ziekenhuis, Amsterdam UMC)

Theodoor J.M. Ruers (University of Twente, Antoni van Leeuwenhoek Ziekenhuis)

Research Group
Medical Instruments & Bio-Inspired Technology
Copyright
© 2018 Susan G. Brouwer de Koning, Elisabeth J.M. Baltussen, M. Baris Karakullukcu, Behdad Dashtbozorg, Laura A. Smit, Richard Dirven, B.H.W. Hendriks, Henricus J.C.M. Sterenborg, Theo J.M. Ruers
To reference this document use:
https://doi.org/10.1117/1.JBO.23.12.121611
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Susan G. Brouwer de Koning, Elisabeth J.M. Baltussen, M. Baris Karakullukcu, Behdad Dashtbozorg, Laura A. Smit, Richard Dirven, B.H.W. Hendriks, Henricus J.C.M. Sterenborg, Theo J.M. Ruers
Research Group
Medical Instruments & Bio-Inspired Technology
Issue number
12
Volume number
23
DOI:
https://doi.org/10.1117/1.JBO.23.12.121611
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Abstract

This ex-vivo study evaluates the feasibility of diffuse reflectance spectroscopy (DRS) for discriminating tumor from healthy tissue, with the aim to develop a technology that can assess resection margins for the presence of tumor cells during oral cavity cancer surgery. Diffuse reflectance spectra were acquired on fresh surgical specimens from 28 patients with oral cavity squamous cell carcinoma. The spectra (400 to 1600 nm) were detected after illuminating tissue with a source fiber at 0.3-, 0.7-, 1.0-, and 2.0-mm distances from a detection fiber, obtaining spectral information from different sampling depths. The spectra were correlated with histopathology. A total of 76 spectra were obtained from tumor tissue and 110 spectra from healthy muscle tissue. The first- and second-order derivatives of the spectra were calculated and a classification algorithm was developed using fivefold cross validation with a linear support vector machine. The best results were obtained by the reflectance measured with a 1-mm source-detector distance (sensitivity, specificity, and accuracy are 89%, 82%, and 86%, respectively). DRS can accurately discriminate tumor from healthy tissue in an ex-vivo setting using a 1-mm source-detector distance. Accurate validation methods are warranted for larger sampling depths to allow for guidance during oral cavity cancer excision.

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