Echtzeit-Diagnostik von Hirnmetastasen in Tiermodellen mittels bildgebender Raman-Spektroskopie
Final Report Abstract
The primary goals of this project were to detect brain tumors with Raman and FT-IR spectroscopy, first ex vivo via chemical mapping of tissue sections, and then in vivo in animal models with a small Raman fiber optic probe. For the ex vivo studies, nude mice were injected with cancer cell lines. After three weeks of tumor growth their brains were removed, frozen, and cut into thin sections for the mapping experiments. In the initial studies, FT-IR imaging was performed on the thin tissue sections to rapidly accumulate large data sets. The infrared data was then used to train computer models to classify a large range of tissues based on their spectral signature. These models could then be applied to the Raman data sets. Raman and FT-IR spectroscopy of thin tissue sections were able to classify healthy mouse brain tissue and discriminate between neuroanatomical structures. Raman mapping of pristine tissue sections was able to easily discriminate between healthy brain tissue and tissue from melanoma tumor. Once the spectral signature of tumor tissue was found for thin tissue sections, we next sought to transfer these methods and classification models from ex vivo to in vivo. We were able to accomplish this goal with the Raman probe, which we successfully optimized for use on a healthy living mouse brain. We could discriminate between blood, bone, and tissue with good spatial resolution through a cranial window fitted with a CaF2 slide that prevented tissue damage during the measurement. Four peer reviewed papers from the project were published.
Publications
- Characterization of lipid extracts from brain tissue and tumors using Raman spectroscopy and mass spectrometry. Analyt. Bioanalyt. Chemistry 393 (2009) 1513–1520
M. Köhler, S. Machill, R. Salzer, C. Krafft
- Disease recognition by infrared and Raman spectroscopy. J. Biophoton. 2 (2009) 13-28
C. Krafft, G. Steiner, C. Beleites, R. Salzer
- Suitability of infrared spectroscopic imaging as an intraoperative tool in cerebral glioma surgery. Analyt. Bioanalyt. Chemistry 393 (2009) 187-195
S. B. Sobottka, K. D. Geiger, R. Salzer, G. Schackert, C. Krafft
- Raman spectroscopic imaging for in vivo detection of cerebral brain metastases. Analyt. Bioanalyt. Chemistry 398 (2010) 1707–1713
M. Kirsch, G. Schackert, R. Salzer, C. Krafft
