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19 July 2019 New approach of staging and grading in bladder cancer with optical coherence tomography and Raman spectroscopy
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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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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