gms | German Medical Science

65. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC)

Deutsche Gesellschaft für Neurochirurgie (DGNC) e. V.

11. - 14. Mai 2014, Dresden

Label-free imaging of human brain tumor biopsies

Meeting Abstract

  • Roberta Galli - Klinisches Sensoring und Monitoring, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden
  • Ortrud Uckermann - Klinik und Poliklinik für Neurochirurgie, Universitätsklinikum Carl Gustav Carus der Technischen Universität Dresden
  • Kathrin D. Geiger - Abteilung Neuropathologie, Institut für Pathologie, Universitätsklinikum Carl Gustav Carus der Technischen Universität Dresden
  • Edmund Koch - Klinisches Sensoring und Monitoring, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden
  • Gabriele Schackert - Klinik und Poliklinik für Neurochirurgie, Universitätsklinikum Carl Gustav Carus der Technischen Universität Dresden
  • Gerald Steiner - Klinisches Sensoring und Monitoring, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden
  • Matthias Kirsch - Klinik und Poliklinik für Neurochirurgie, Universitätsklinikum Carl Gustav Carus der Technischen Universität Dresden

Deutsche Gesellschaft für Neurochirurgie. 65. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC). Dresden, 11.-14.05.2014. Düsseldorf: German Medical Science GMS Publishing House; 2014. DocP 168

doi: 10.3205/14dgnc562, urn:nbn:de:0183-14dgnc5625

Veröffentlicht: 13. Mai 2014

© 2014 Galli et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Objective: Nonlinear optical microscopy (NLOM) offers a series of techniques that have the potential to be applied in vivo, for intraoperative identification of tumor borders and in situ pathology. By exploiting the tissue content of lipids, coherent anti-Stokes Raman scattering (CARS) microscopy enables to discern brain tumors from the healthy nervous tissue. Integration of CARS with two-photon excited fluorescence (TPEF) and second harmonic generation (SHG) adds morphological and compositional details. Multimodal CARS imaging of different human tumor biopsies was performed to assess the ability of the technique to retrieve histopathological relevant information.

Method: A total of 40 brain tumor samples were analyzed. The nonlinear microscopy system is composed by a laser scanning microscope and two picosecond fiber lasers emitting in the near infrared. The system enables simultaneous excitation and acquisition of CARS, TPEF and SHG. Tumor biopsies were either imaged in bulk or cryoprotected to prepare cryosections that were imaged without any further processing or staining. Consecutive sections were assessed by conventional histopathology.

Results: Different types of brain tumors were examined: glioblastoma, astrocytoma, metastases of melanoma, mamma carcinoma, lung, colon, and renal cell carcinoma, cranial nerve- and peripheral nerve-associated neurinoma. The borders of the tumors were localized whenever contained in the biopsy. On cryosections, the decrease of the CARS signal intensity in the tumors was quantified up to 60% (for GBM) with respect the surrounding normal tissue, reflecting the overall lower tumor lipid content. The multimodal imaging of fresh bulk samples revealed the native structure of tumor tissue. The acquisition of CARS allowed to image intracellular and extracellular lipid droplets with dimension 1 to 4 µm in GBM (associated to necrosis), as well as in mamma and in renal metastases. GBM and neurinoma were found to express fibrillar collagen in the extracellular matrix, which was imaged by SHG. Fibrotic tissue was visualized also at the border of renal metastases. In the normal tissue axonal structures and fiber bundles were seen and the three-dimensional morphology of myelin sheaths was visualized.

Conclusions: Multimodal NLOM of different human brain and nerve tumors demonstrated the ability of the technique to visualize tumor structures and discern between normal and neoplastic tissue on native tissue samples.