Analysis of the Degree of Differentiation Biological Tissues for Diagnosis of Pathological Processes Using Robotic Spectral Complexes

The subject of the research: The work examines the spectral characteristics of biological samples of human internal organs taken from patients diagnosed with adenocarcinoma at different stages and localizations, in particular in the primary focus of occurrence (stomach) and with subsequent metastasis to distant organs. The possibility of conducting a robotic analysis and drawing conclusions about the state of pathological biological tissue according to the degree of their differentiation based on the identification of the dependence of the measurement of the spectral characteristics of fluorophores on the stage of pathology development is considered. Purpose of research: Determination and analysis of the influence of the degree of differentiation on the spectral characteristics of fluorescence of tissues of human internal organs. Results: Spectral patterns of measurement of luminescence excitation are obtained. The quantitative dependence of the values of the extremes of the main fluorophores on the degree of malignancy of the pathological formation was revealed. A feature has been noted regarding the degree of differentiation of tumors. The difference in the main maxima at the excitation wavelengths of 286–290 nm and 330–340 nm increases with increasing differentiation. Thus, the peak difference in a highly differentiated tumor is approximately 3.5 times, moderately differentiated– 2.5 times, and low differentiated – 1.5 times. With total organ damage by pathology, there is practically no difference in extremes. The prospects of using the research results in the development and operation of robotic spectral complexes based on SEMS modules in medicine to improve the effectiveness of diagnosing the degree of pathological changes in the body are substantiated. It is shown that the use of the obtained quantitative estimates in the robotic spectral analysis of pathological tissues of internal organs will eliminate the influence of a subjective factor on the decision on the development of pathology, more accurately determine the degree of development of the pathological process and identify its spread to neighboring healthy tissues. Practical significance: The results obtained can be used to develop robotic spectral complexes that will allow for more accurate and timely diagnosis of various diseases, including cancer, as well as analyze the spectral characteristics of tissues and identify abnormalities associated with pathologies.