gms | German Medical Science

59th Annual Meeting of the German Society of Neurosurgery (DGNC)
3rd Joint Meeting with the Italian Neurosurgical Society (SINch)

German Society of Neurosurgery (DGNC)

1 - 4 June 2008, Würzburg

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Identification and classification of gliomas by optical spectroscopic imaging techniques

Identifizierung und Klassifizierung von Gliomen durch optische spektroskopische Imagingtechniken

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  • corresponding author S.B. Sobottka - Klinik für Neurochirurgie, Universitätsklinikum Carl Gustav Carus, Technische Universität Dresden
  • C. Krafft - Institut für Analytische Chemie, Technische Universität Dresden
  • K. Geiger - Institut für Pathologie, Universitätsklinikum Carl Gustav Carus
  • M. Kirsch - Klinik für Neurochirurgie, Universitätsklinikum Carl Gustav Carus, Technische Universität Dresden
  • G. Steiner - Institut für Analytische Chemie, Technische Universität Dresden
  • R. Salzer - Institut für Analytische Chemie, Technische Universität Dresden
  • G. Schackert - Klinik für Neurochirurgie, Universitätsklinikum Carl Gustav Carus, Technische Universität Dresden

Deutsche Gesellschaft für Neurochirurgie. Società Italiana di Neurochirurgia. 59. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie e.V. (DGNC), 3. Joint Meeting mit der Italienischen Gesellschaft für Neurochirurgie (SINch). Würzburg, 01.-04.06.2008. Düsseldorf: German Medical Science GMS Publishing House; 2008. DocDI.01.05

The electronic version of this article is the complete one and can be found online at: http://www.egms.de/en/meetings/dgnc2008/08dgnc144.shtml

Published: May 30, 2008

© 2008 Sobottka et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en). You are free: to Share – to copy, distribute and transmit the work, provided the original author and source are credited.

Outline

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Objective: Optical spectroscopic imaging techniques have the potential to expand the ability to diagnose tissue beyond that of standard pathological methods because they characterize tissue at a microstructural molecular level with a spatial resolution in the single cell range. With the aim to achieve an intraoperative glioma grading, infrared spectroscopy was used to characterize and classify specimens of human glioma patients according to the grade of malignancy.

Methods: Spectroscopic maps of 54 native specimens of 6 patients with human gliomas were collected ex vivo using Neuronavigation guidance and were analyzed by infrared (IR) spectroscopy. All glioma patients had inhomogeneous tumors showing regions of different tumor grades. Variations of tissue composition within each spectroscopic map were demonstrated by a linear discriminant analysis classification model and were compared to histopathological and neuroradiological findings.

Results: Normal tissue and low-grade or high-grade regions of glioma could be reliably distinguished by IR spectroscopy. A sensitivity of up to 100% (22/22) and a specifity of up to 96,9% (31/32) was achieved in distinguishing low-grade from high grade glioma probes.

Conclusions: Infrared spectroscopic imaging has a great potential for intraoperative identification and grading of cerebral glioma.