8 May 2014 The method of intraoperative analysis of structural and metabolic changes in the area of tumor resection
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Abstract
The method of intraoperative analysis of tumor markers such as structural changes, concentrations of 5- ALA induced protoporphyrin IX and hemoglobin in the area of tissue resection was developed. A device for performing this method is a neurosurgical aspiration cannulae coupled with the fiber optic probe. The configuration of fibers at the end of cannulae was developed according to the results of numerical modeling of light distribution in biological tissues. The optimal distance between the illuminating and receiving fiber was found for biologically relevant interval of optical properties. On this particular distance the detected diffuse reflectance depends on scattering coefficient almost linearly. Array of optical phantoms containing hemoglobin, protoporphyrin IX and fat emulsion (as scattering media) in various concentrations was prepared to verify the method. The recovery of hemoglobin and protoporphyrin IX concentrations in the scattering media with an error less than 10% has been demonstrated. The fat emulsion concentration estimation accuracy was less than 12%. The first clinical test was carried out during glioblastoma multiforme resection in Burdenko Neurosurgery Institute and confirmed that sensitivity of this method is enough to detect investigated tumor markers in vivo. This method will allow intraoperative analysis of the structural and metabolical tumor markers directly in the zone of destruction of tumor tissue, thereby increasing the degree of radical removal and preservation of healthy tissue.
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Tatiana A. Savelieva, Victor B. Loshchenov, Vladimir V. Volkov, Kirill G. Linkov, Sergey A. Goryainov, Alexander A. Potapov, "The method of intraoperative analysis of structural and metabolic changes in the area of tumor resection", Proc. SPIE 9129, Biophotonics: Photonic Solutions for Better Health Care IV, 91290T (8 May 2014); doi: 10.1117/12.2052480; https://doi.org/10.1117/12.2052480
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