A novel system for malignant brain tumors diagnosing during surgery has been developed by scientists. Glioma or brain tumor is one of the most common diseases of the central nervous system.
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Scientists have analyzed more than 300 images of tissue samples taken from patients during tumor removal and biopsy procedures, and classified the differences between malignant and healthy cells. The main criterion is the intensity of the OCT signal. «Light penetrates healthy brain tissue shallowly and dissipates very well. Therefore, we receive an intense signal from the white substance. Tumor cells are more fragmented, which is why the light goes farther, and the signal is less intense», -- explains Konstantin Yashin, neurosurgeon at the University Hospital of the Research Medical University of Volga region. Compared with ultrasound or MRI, optical coherence tomography has a higher resolution. Therefore, scientists have identified an additional criterion for image analysis -- the homogeneity of the tissues structure.
At the moment, scientists are carrying out the project to increase the information content of OCT in in vivo studies -- they are working to improve the quality of the signal. Also, researchers are working on a special catheter for biopsy. Now, to obtain the required sample, doctors have to take a large number of samples, which increases the risk for the patient. Using optical coherence tomography, they will be able to identify the exact location of the tumor and avoid damage of the blood vessels. Besides neurosurgery, the technology is already used in endovascular surgery, dermatology, and urology.
Source-Eurekalert