High-resolution mass spectra processing for the identification of different pathological tissue types of brain tumors

E. S. Zhvansky, A. A. Sorokin, I. A. Popov, V. A. Shurkhay, A. A. Potapov, E. N. Nikolaev

    Research output: Contribution to journalArticlepeer-review

    9 Citations (SciVal)

    Abstract

    The purpose of the work is to demonstrate the possibilities of identifying the different types of pathological tissue identification directly through tissue mass spectrometry. Glioblastoma parts dissected during neurosurgical operation were investigated. Tumor fragments were investigated by the immunohistochemistry method and were identified as necrotic tissue with necrotized vessels, necrotic tissue with tumor stain, tumor with necrosis (tumor tissue as major), tumor, necrotized tumor (necrotic tissues as major), parts of tumor cells, boundary brain tissue, and brain tissue hyperplasia. The technique of classification of tumor tissues based on mass spectrometric profile data processing is suggested in this paper. Classifiers dividing the researched sample to the corresponding tissue type were created as a result of the processing. Classifiers of necrotic and tumor tissues are shown to yield a combined result when the tissue is heterogeneous and consists of both tumor cells and necrotic tissue.

    Original languageEnglish
    Pages (from-to)213-216
    Number of pages4
    JournalEuropean Journal of Mass Spectrometry
    Volume23
    Issue number4
    DOIs
    Publication statusPublished - 1 Aug 2017

    Keywords

    • ambient ionization
    • brain tumor
    • classification algorithm
    • Direct mass spectrometry
    • neurosurgery
    • tissue identification

    Fingerprint

    Dive into the research topics of 'High-resolution mass spectra processing for the identification of different pathological tissue types of brain tumors'. Together they form a unique fingerprint.

    Cite this