Chernyshova T. Information technology for determining of circulating tumor cells

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0419U001746

Applicant for

Specialization

  • 14.03.11 - Медична та біологічна інформатика і кібернетика

18-12-2019

Specialized Academic Board

Д 26.171.03

Essay

The thesis for Candidate Degree of Medical Sciences (Doctor of Philosophy) on specialty 14.03.11 - Medical and Biological Informatics and Cybernetics (224 - Technologies of Medical Diagnostics and Treatment). - International Research and Training Center for Information Technologies and Systems of National Academy of Science of Ukraine and Ministry of Education and Science of Ukraine, Kyiv, 2019. The dissertation is improving the method of determining the circulating tumor cells in human blood, which is based on the ISET technique using the proposed models, methods, criteria and developed information technology for the automatic detection of cells by signs of malignancy. A set of criteria for assessing the malignancy of circulating cells is formed, which extends the criterion space by a range of cells 3 ?m, which makes it possible to comprehensively evaluate the malignancy of tumors, taking into account the presence of small diameter cells (from 4 ?m). The method of determination of circulating tumor cells in human blood has been developed, based on the advanced method of filtering the patients' blood samples and took into account the formed set of criteria, which makes it possible not only to isolate intact cells, but also to identify and evaluate the malignancy of cells of smaller size with high precision 91,5%, specificity - 88,4%, accuracy - 90%). The proposed information technology has allowed to improve the selection of undamaged malignant cells and cell complexes (microembols) during the filtration stage by adding technology with new options (control of negative pressure and addition of 8 ?m filter with optional filters with pore sizes of 5 ?m and 3 ?m). The use of information technology increased the number of detected CTCs with dimensions of 6-10 ?m by 22% while reducing the undetected (missed) CTCs - from 6% to 3%.

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