Навчально-науковий медичний інститут (НН МІ)
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Item Case report: Metastasis of Merkel cell carcinoma in the small intestine(Elsevier, 2023) Чижма, Руслана Анатоліївна; Чижма, Руслана Анатольевна; Chyzhma, Ruslana Anatoliivna; Піддубний, Артем Михайлович; Поддубный, Артем Михайлович; Piddubnyi, Artem Mykhailovych; Романюк, Анатолій Миколайович; Романюк, Анатолий Николаевич; Romaniuk, Anatolii Mykolaiovych; Москаленко, Роман Андрійович; Москаленко, Роман Андреевич; Moskalenko, Roman AndriiovychMerkel cell carcinoma is a rare primary neuroendocrine malignant neoplasm of the skin, which recurs in about 40 % of cases. The main factors are Merkel cell polyomavirus (MCPyV) and mutations caused by ultraviolet radiation [Paulson, 2018]. In this study, we report a case of Merkel cell carcinoma with metastasis to the small intestine. In a 52-year-old woman, a subcutaneous formation of a nodule up to 2.0 cm in diameter was detected during the examination. This neoplasm was removed and sent for histological analysis. Dot-like expression of CK pan, CK 20, chromogranin A, and Synaptophysin was observed in tumor cells, and Ki-67 in 40 % of tumor cells. There is no reaction in tumor cells to CD 45, CK 7, TTF 1, and S100. The morphological picture corresponded to Merkel cell carcinoma. A year later, the patient underwent surgery for intestinal obstruction. The pathohistological changes and immunophenotype of the small bowel tumor were consistent with Merkel cell carcinoma metastasis.Item Decision-making support system for diagnosis of oncopathologies by histological images(Elsevier, 2023) Довбиш, Анатолій Степанович; Довбыш, Анатолий Степанович; Dovbysh, Anatolii Stepanovych; Шелехов, Ігор Володимирович; Шелехов, Игорь Владимирович; Shelekhov, Ihor Volodymyrovych; Романюк, Анатолій Миколайович; Романюк, Анатолий Николаевич; Romaniuk, Anatolii Mykolaiovych; Москаленко, Роман Андрійович; Москаленко, Роман Андреевич; Moskalenko, Roman Andriiovych; Савченко, Тарас Русланович; Савченко, Тарас Русланович; Savchenko, Taras RuslanovychThe aim of the study is to increase the functional efficiency of machine learning decision support system (DSS) for the diagnosis of oncopathology on the basis of tissue morphology. The method of hierarchical information-extreme machine learning of diagnostic DSS is offered. The method is developed within the framework of the functional approach to modeling of natural intelligence cognitive processes at formation and acceptance of classification decisions. This approach, in contrast to neuronal structures, allows diagnostic DSS to adapt to arbitrary conditions of histological imaging and flexibility in retraining the system by expanding the recognition classes alphabet that characterize different structures of tissue morphology. In addition, the decisive rules built within the geometric approach are practically invariant to the multidimensionality of the diagnostic features space. The developed method allows to create information, algorithmic, and software of the automated workplace of the histologist for diagnosing oncopathologies of different genesis. The machine learning method is implemented on the example of diagnosing breast cancerItem Potential Role of Hydroxyapatite Nanocrystalline for Early Diagnostics of Ovarian Cancer(MDPI, 2021) Чижма, Руслана Анатоліївна; Чижма, Руслана Анатольевна; Chyzhma, Ruslana Anatoliivna; Піддубний, Артем Михайлович; Поддубный, Артем Михайлович; Piddubnyi, Artem Mykhailovych; Данильченко, Сергій Миколайович; Данильченко, Сергей Николаевич; Danylchenko, Serhii Mykolaiovych; Кравцова, Ольга Іванівна; Кравцова, Ольга Ивановна; Kravtsova, Olha Ivanivna; Москаленко, Роман Андрійович; Москаленко, Роман Андреевич; Moskalenko, Roman AndriiovychCalcification is one of the clinical and morphological manifestations of ovarian tumors and it begins at the initial stages of carcinogenesis. Thus, this process can be used for the early diagnostics of some malignant ovarian tumors. We compared the results of ultrasound and histology and found that calcifications of a size less than 200 µm are not detected by ultrasound. These calcified structures are round fragile particles of different sizes. In the EDX (Energy-dispersive X-ray spectroscopy) spectra, the main lines were from Ca and P, and the ratio of these elements corresponds to hydroxyapatite. Thus, we established that hydroxyapatite is the main mineral component of ovarian psammoma bodies and could be used for early diagnostics of ovarian malignant neoplasia