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Gazzetta Medica Italiana Archivio per le Scienze Mediche 2004 December;163(6):285-90
Copyright © 2004 EDIZIONI MINERVA MEDICA
language: English
Treatment evaluation of brain tumors using non-linear analysis of magnetoencephalographic data. A novel technique
Antoniou P. 1, Anninos P. A. 1, Piperidou H. 2, Adamopoulos A. 1, Kotini A. 1, Koukourakis M. I. 3, Sivridis E. 4
1 Laboratory of Medical Physics, Medical School, Democritus University of Thrace, Alexandroupolis, Greece; 2 Department of Neurology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece; 3 Department of Radiotherapy, Medical School, Democritus University of Thrace, Alexandroupolis, Greece; 4 Department of Pathological Anatomy, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
We present the results that showcase a novel technique that can be used to increase the specificity of treatment evaluation procedures by means of differentiating the Magnetoencephalo-graphic (MEG) signals received from patients with malignant central nervous system (CNS) lesions, during treatment using non-linear analysis. We present recordings from 2 patients diagnosed with malignant CNS lesions. A 122-channel SQUID biomagnetometer in an appropriate shielded room was used to record the MEG signals and the Grassberger-Procaccia method of phase space reconstruction was applied to the recorded signal from each patient. By applying the Grassberger-Procaccia method of phase space reconstruction to the MEG of patients with malignant CNS lesions we found clear evidence linking the embedding dimension m in which we have the onset of saturation with the progress of the treatment. These 2 case reports provide a clear indication that the pretreatment MEG signals of CNS malignant lesions present strong qualitative and quantitative differences from the after-treatment MEG signals of the same lesions and that non-linear analysis of MEG signals can be used for the purpose of treatment monitoring during radiotherapy. Further research is being conducted in order to ascertain possible quantitative thresholds in the value of the embedding dimension m above which saturation occurs and to confirm the physiological mechanism which would explain our findings.