Artikel
Diagnosis of human brain tumors by infrared spectroscopy
Diagnose von Hirntumoren mit Infrarot-Spektroskopie
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Autoren
Veröffentlicht: | 23. April 2004 |
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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)