Classification of malignant gliomas by infrared spectroscopic imaging and linear discriminant analysis

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Christoph Krafft - , TUD Dresden University of Technology, University of Trieste (Author)
  • Stephan B. Sobottka - , Department of Neurosurgery (Author)
  • Kathrin D. Geiger - , TUD Dresden University of Technology (Author)
  • Gabriele Schackert - , TUD Dresden University of Technology (Author)
  • Reiner Salzer - , TUD Dresden University of Technology (Author)

Abstract

Infrared (IR) spectroscopy provides a sensitive molecular fingerprint for tissue without external markers. Supervised classification models can be trained to identify the tissue type based on the spectroscopic fingerprint. Infrared imaging spectrometers equipped with multi-channel detectors combine the spectral and spatial information. Tissue areas of 4∈×∈4 mm2 can be analyzed within a few minutes in the macroscopic imaging mode. An approach is described to apply this methodology to human astrocytic gliomas, which are graded according to their malignancy from one to four. Multiple IR images of three tissue sections from one patient with a malignant glioma are acquired and assigned to the six classes normal brain tissue, astrocytoma grade II, astrocytoma grade III, glioblastoma multiforme grade IV, hemorrhage, and other tissue by a linear discriminant analysis model which was trained by data from a single-channel detector. Before the model is applied here, the spectra are shown to be virtually identical. The first specimen contained approximately 95% malignant glioma regions, that means astrocytoma grade III or glioblastoma. The smaller percentage of 12-34% malignant glioma in the second specimen is consistent with its location at the tumor periphery. The detection of less than 0.2% malignant glioma in the third specimen points to a location outside the tumor. The results were correlated with the cellularity of the tissue which was obtained from the histopathologic gold standard. Potential applications of IR spectroscopic imaging as a rapid tool to complement established diagnostic methods are discussed.

Details

Original languageEnglish
Pages (from-to)1669-1677
Number of pages9
JournalAnalytical and Bioanalytical Chemistry
Volume387
Issue number5
Publication statusPublished - Mar 2007
Peer-reviewedYes

External IDs

PubMed 17103151

Keywords

ASJC Scopus subject areas

Keywords

  • Astrocytic gliomas, Brain tumors, FTIR imaging, Tissue classification