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The significance of ischemia for the proliferative activity of the mucosa in inflammatory bowel diseases
(2022) Nakonechna, Oksana; Vyshnytska, I.; Vasylyeva, Irina; Babenko, Olha; Voitenko, Stanislav; Bondarenko, A.; Gargin, Vitaliy
The state of the microcirculatory bed remains one of the determining factors in course of inflammatory bowel diseases (IBD). The presence of small foci of ischemia could realize in dystrophic-necrobiotic consequences, which can also underlie the development or strengthening of the inflammatory process. Based on above, the goal of our study was to determine the impact of the development of mucosal ischemia in the colon on the activity of proliferative processes during inflammation. Materials and methods. The study was performed on 12 adult WAG rats with modeling IBD by oral administration of 2.5% solution Dextran Sulfate Sodium. Serial slides of the colon where made with stained with hematoxylin and eosin, according to Rego, immunohistochemical examination (IHC) to Ki67. Volume of ischemic area and Ki67 expression were detected. Statistical comparison was performed. Results. Inspection microscopy in the DSS experimental group determined alterative-desquamative changes in the surface epithelium and epithelium of intestinal glands (crypt); diffuse polymorphic cellular infiltration in the mucous membrane, which in some places spread to the submucosal base, that are morphological manifestations of IBD. Foci of ischemia had been detected in that group with 13.09±0.67% volume as just microfocal changes were observed in intact animals (p < 0.05). Detection of proliferative activity depending on ischemic signs was realized in different level of Ki67 expression. So, lowest level of Ki67 was estimated in mucosa above ischemia (18.06±3.33%). Most pronounced expression of Ki67 was observed in IBD group in area which no connected with ischemia and was even 57.71±4.68% (p < 0.05). Conclusions. Ki67 was strongly expressed in epithelial cells of the colon both in intact tissue and in modeling IBD with significant increasing expression more than twice in inflammatory group (p < 0.05) but spreading of activity process was uneven. Collation of slides with ICH and Rego staining realized in estimation of strong negative correlation between Ki67 expression and ischemia (r=-0.819).
Morphological peculiarities of cerebral injury in polyomavirus infection in HIV-positive individuals
(2022) Zhelezniakova, Natalia Gargin, Vitaliy; Bondarenko, A.; Katsapov, D.; Pasiieshvili, Tamara; Bocharova, Tetiana; Gargin, Vitaliy
The article presents information about the study of morphological features in progressive multifocal leukoencephalopathy caused by polyomavirus infection in HIV-infected individuals. A study of sectional material (the brain) was carried out. After routine proceeding and histological staining, the slides were studied under Olympus BX41 microscope, followed by a morphometric examination. According to neuroimaging methods, the presence of multiple foci in the brain may be caused by the presence of several etiological factors: JCV, BKV, EBV, T. gondii, and C. neoformans, which requires mandatory laboratory confirmation. Morphological changes in the brain in PML caused by JCV and BKV are characterized by areas of demyelinated lesions 2-3 mm in size with a tendency to merge, with significant areas of white matter affected and degenerative changes predominantly in the juxtacortical/subcortical white matter.
Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation
(2023) Nechyporenko, Alina; Frohme, Marcus; Gargin, Vitaliy; Meniailov, Ievgen; Chumachenko, Dmytro; Alekseeva, Victoriia
The share of chronic odontogenic rhinosinusitis is 40% among all chronic rhinosinusitis. Using automated information systems for differential diagnosis will improve the efficiency of decision-making by doctors in diagnosing chronic odontogenic rhinosinusitis. Therefore, this study aimed to develop an intelligent decision support system for the differential diagnosis of chronic odontogenic rhinosinusitis based on computer vision methods. A dataset was collected and processed, including 162 MSCT images. A deep learning model for image segmentation was developed. A 23 convolutional layer U-Net network architecture has been used for the segmentation of multi-spiral computed tomography (MSCT) data with odontogenic maxillary sinusitis. The proposed model is implemented in such a way that each pair of repeated 3 × 3 convolutions layers is followed by an Exponential Linear Unit instead of a Rectified Linear Unit as an activation function. The model showed an accuracy of 90.09%. To develop a decision support system, an intelligent chatbot allows the user to conduct an automated patient survey and collect patient examination data from several doctors of various profiles. The intelligent information system proposed in this study made it possible to combine an image processing model with a patient interview and examination data, improving physician decision-making efficiency in the differential diagnosis of Chronic Odontogenic Rhinosinusitis. The proposed solution is the first comprehensive solution in this area.
Pedagogical aspects of the impact of smoking on the human body based on radiographic density indicators of maxillary sinus bone walls
(Georgia-US, 2023) Shiyan, Denis; Trach, Olga; Sosonna, Liliia; Yurevych, Nadiia; Chekhovska, Ganna; Malieiev, Denys; Alekseeva, Victoriia; Gargin, Vitaliy
The most effective process of quitting smoking can be achieved through precise and complete identification of the adverse effects on the human body.

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