Publications by authors named "Evgeny Demidchik"

An expert system for differential diagnosis of thyroid pathology has been developed, in which the function of transforming qualitative signs of cell atypia into the quantitative form is realized. It based on the set of qualitative signs of cell atypia and works in the mode by the question-answer principle. An expert system (software) contained the X-matrix and six standard S-matrices.

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Objective: To perform a comparative analysis of thyrocyte nuclei and the aggregability degree in tumor cells in the thyroid gland with papillary cancer and in cervical lymph nodes with metastases.

Study Design: Thyrocytes in papillary cancer and those of cervical lymph nodes with its metastasis have been studied with the help of morphometry.

Results: As a result of mathematical transformation of the initial morphometric database, quantitative features of thyrocyte nuclei and aggregates characterizing the norm, papillary cancer and regional metastases were obtained.

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Background: The Chernobyl accident caused an unprecedented increase in papillary thyroid carcinoma (PTC) incidence with a surprisingly short latency and unusual morphology. We have investigated whether unexpected features of the PTC incidence after Chernobyl were radiation specific or influenced by iodine deficiency.

Methods: PTCs from children from Belarus, Ukraine, and the Russian Federation exposed to fallout from Chernobyl were compared with PTCs from children not exposed to radiation from the same countries, from England and Wales (E&W) and from Japan.

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Morphometry of the lymphoid cells was performed with a computerized image analyzer. Database formation was performed automatically using our own new software. The initial database of calculated mean values, of constructed histograms, of regression, and of discriminant analysis was transformed into a set of morphometric features.

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Objective: To investigate the possibility of using morphometric changes in lymphoid cells in thyroid tissue as a marker of malignant tumors.

Study Design: Morphometry of biopsy material was performed with a semiautomated, computerized image analyzer.

Results: Nine features were selected.

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Objective: To develop a system of decision criteria based on a set of features of the degree of thyrocyte aggregation with assessment of their weighting coefficient in the diagnosis of malignant and benign thyroid pathology.

Study Design: Autopsy, operative and aspiration biopsy material were the object of the study. Light microscopic morphometry was performed with semiautomated computer analysis of images.

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