Optical coherence tomography of human brain glioma as a promising tool for intraoperative diagnostics in neurosurgery

An intraoperative diagnosis of brain tumors is one of the most urgent and challenging problem of the modern neurosurgery. The most important measure of the effectiveness of treatment is the complete tumor resection. The existing methods of the intraoperative neurodiagnosis of tumors are plagued with limited sensitivity, especially for low-grade gliomas, and, furthermore, can remain rather expensive. The recently reported results of optical coherence tomography (OCT) application for finding differences between healthy and malignant tissues make it become one of the promising label-free diagnostic instruments. Nevertheless, the wide use of OCT in clinical practice is limited by the lack of complete study of its opportunities in neurosurgery, which leads to a huge scientific interest. Our research, aimed at the study of the ability of OCT for the intraoperative diagnosis of brain gliomas of different grades, has the goal to observe the differences between OCT signals obtained for ex vivo samples of various types of human brain glioma and intact brain tissue. We propose a 3D-feature based data analysis that demonstrates promising results in differentiation of tissue classes.