New approach of staging and grading in bladder cancer with optical coherence tomography and Raman spectroscopy

Daniela Bovenkamp; Ryan Sentosa; Elisabet Rank; Mikael T. Erkkilä; Fabian Placzek; Jeremias Püls; Rainer A. Leitgeb; Wolfgang Drexler; Nathalie Garstka; Shahrokh F. Shariat; Clara Stiebing; Iwan W. Schie; Jürgen Popp; Marco Andreana; Angelika Unterhuber

doi:10.1117/12.2526751

19 July 2019 New approach of staging and grading in bladder cancer with optical coherence tomography and Raman spectroscopy

Daniela Bovenkamp, Ryan Sentosa, Elisabet Rank, Mikael T. Erkkilä, Fabian Placzek, Jeremias Püls, Rainer A. Leitgeb, Wolfgang Drexler, Nathalie Garstka, Shahrokh F. Shariat, Clara Stiebing, Iwan W. Schie, Jürgen Popp, Marco Andreana, Angelika Unterhuber

Author Affiliations +

Proceedings Volume 11078, Optical Coherence Imaging Techniques and Imaging in Scattering Media III; 110780Q (2019) https://doi.org/10.1117/12.2526751
Event: European Conferences on Biomedical Optics, 2019, Munich, Germany

Abstract

Our study targets improved and accelerated diagnostics of bladder cancer with optical coherence tomography (OCT) and Raman spectroscopy (RS) ex vivo. OCT provides structural information on the penetration depth of the lesion, whereas RS complements this information with molecular characteristics regarding the likelihood of growth and spreading. Hence, the diagnostic findings include the determination of stage and grade of a tumor. The bladder specimens were scanned with OCT to detect suspicious lesions. Thereby, OCT was used as a red-flag technology to examine the bladder wall for abnormal tissue. Malignant bladder wall could be discriminated from healthy tissue. Upon identification of a cancerous lesion, RS added diagnostic information with molecular characteristics of the tumor regarding the grade. Texture analysis of OCT tomograms followed by k-nearest neighbour classification determined the stage of the lesion. Principal component analysis (PCA) of Raman spectra allowed for dimension reduction which was also fed into a knearest neighbour classifier allowing for classification of low-grade and high-grade tumors. We obtained an accuracy of 71% and 93% for staging and grading, respectively.

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Daniela Bovenkamp, Ryan Sentosa, Elisabet Rank, Mikael T. Erkkilä, Fabian Placzek, Jeremias Püls, Rainer A. Leitgeb, Wolfgang Drexler, Nathalie Garstka, Shahrokh F. Shariat, Clara Stiebing, Iwan W. Schie, Jürgen Popp, Marco Andreana, and Angelika Unterhuber "New approach of staging and grading in bladder cancer with optical coherence tomography and Raman spectroscopy", Proc. SPIE 11078, Optical Coherence Imaging Techniques and Imaging in Scattering Media III, 110780Q (19 July 2019); https://doi.org/10.1117/12.2526751

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KEYWORDS

Optical coherence tomography

Bladder cancer

Bladder

Raman spectroscopy

Remote sensing

Tissues

Tumors

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