gms | German Medical Science

55. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie e. V. (DGNC)
1. Joint Meeting mit der Ungarischen Gesellschaft für Neurochirurgie

Deutsche Gesellschaft für Neurochirurgie (DGNC) e. V.

25. bis 28.04.2004, Köln

Diagnosis of human brain tumors by infrared spectroscopy

Diagnose von Hirntumoren mit Infrarot-Spektroskopie

Meeting Abstract

  • corresponding author Stephan Boris Sobottka - Department of Neurosurgery, University Hospital, University of Technology, Dresden
  • C. Krafft - Institute of Analytical Chemistry, University of Technology, Dresden
  • G. Steiner - Institute of Analytical Chemistry, University of Technology, Dresden
  • R. Salzer - Institute of Analytical Chemistry, University of Technology, Dresden
  • G. Schackert - Department of Neurosurgery, University Hospital, University of Technology, Dresden

Deutsche Gesellschaft für Neurochirurgie. Ungarische Gesellschaft für Neurochirurgie. 55. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie e.V. (DGNC), 1. Joint Meeting mit der Ungarischen Gesellschaft für Neurochirurgie. Köln, 25.-28.04.2004. Düsseldorf, Köln: German Medical Science; 2004. DocMO.09.07

Die elektronische Version dieses Artikels ist vollständig und ist verfügbar unter: http://www.egms.de/de/meetings/dgnc2004/04dgnc0095.shtml

Veröffentlicht: 23. April 2004

© 2004 Sobottka 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 vervielf&aauml;ltigt, verbreitet und &oauml;ffentlich zug&aauml;nglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Objective

Near infrared Raman spectroscopy is supposed to have great potential as a new clinical tool to diagnose tumor tissue intraoperatively under real time conditions. Any pathological condition is accompanied by changes in the molecular composition and/or molecular structure in the affected tissue. These changes are reflected as specific spectroscopic fingerprints that provide information for tumor diagnosis and grading. To evaluate this new diagnostic technique for the grading of human glioma and to determine the origin of brain metastases with unknown primary tumor, tumor cell lines and specimens from patients with cerebral glioma and metastases were studied with IR spectroscopy.

Methods

Tumor specimens were obtained from 56 glioma patients (n=7 astrocytoma WHO°2, n=9 astrocytoma WHO°3, 40 glioblastoma WHO°4) and 31 patients with cerebral metastases. In addition, cultured cells of 3 glioblastoma and 4 carcinoma cell lines were analysed with IR spectroscopy. Data analysis was performed using methods of multivariate analysis including principal component analysis (PCA) and soft independent modelling of class analogy (SIMCA) for the brain metastases group and by automated pattern recognition methods for the grading of the glioma group.

Results

By using PCA and SIMCA algorithm, it was possible to assign the spectra of brain metastases of colon carcinoma, breast carcinoma and malignant melanoma correctly to the cell culture models of corresponding primary tumors. A classification success rate of 87-96% accuracy was obtained for glioma grading.

Conclusions

IR spectroscopy has great potential for the diagnosis and grading of human glioma as well as for the determination of the tissue origin of brain metastases.

(The study was supported by the Volkswagen foundation)