@inproceedings{AlekseevaReshetnikFrohmeetal.2023, author = {Alekseeva, Victoriia and Reshetnik, Viktor and Frohme, Marcus and Kachailo, Irina and Murizyna, Irina and Nechyporenko, Alina}, title = {Investigation of the Impact of Insulin Resistance on the Bone Density of the Upper Wall of the Maxillary Sinus}, series = {Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, ProfIT AI 2023, Waterloo, Canada, November 20-22, 2023}, volume = {3641}, booktitle = {Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, ProfIT AI 2023, Waterloo, Canada, November 20-22, 2023}, editor = {Chumachenko, Dmytro and Kaur, Jasleen and Yakovlev, Sergiy and Morita, Plinio P.}, publisher = {CEUR-WS.org}, url = {http://nbn-resolving.de/urn:nbn:de:0074-3641-3}, pages = {216 -- 223}, year = {2023}, abstract = {The aim of our study was to investigate the impact of insulin resistance on the bone density of the upper wall of the maxillary sinus. Materials and Methods: The study included 100 female participants aged 18 to 44 years, divided into two groups. The first group consisted of individuals with insulin resistance, while the control group comprised individuals without signs of insulin resistance. In each group, we conducted an investigation of the radiological density of the upper wall of the maxillary sinus using uncertainty calculations. Results of the study suggest a potential influence of insulin resistance on the density of bone tissue around the nasal sinuses, specifically the upper wall of the maxillary sinus in our case. This parameter was found to be minimal in the group of individuals with insulin resistance. It is particularly noteworthy that both minimum and maximum bone density decreased in this group. Conclusions. The research focused on how insulin resistance affects the density of the upper wall of the maxillary sinus. By employing uncertainty calculations, the study revealed that insulin resistance is associated with a decrease in the minimum density of the upper wall of the maxillary sinus. This tendency may act as a catalyst for the emergence of significant inflammatory alterations in the nasal sinuses, serving as a foundation for the initiation of complications.}, language = {en} } @inproceedings{NechyporenkoReshetnikFrohmeetal.2024, author = {Nechyporenko, Alina and Reshetnik, Viktor and Frohme, Marcus and Alekseeva, Victoriia and Lupyr, Andrii and Gargin, Vitaliy}, title = {Evaluation of Bone Radiodensity in Smokers}, series = {Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2024) 2024, Cambridge, MA, USA, September 25-27, 2024}, booktitle = {Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2024) 2024, Cambridge, MA, USA, September 25-27, 2024}, number = {3777}, editor = {Chumachenko, Dmytro and Golland, Polina and Yakovlev, Sergiy}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19616}, pages = {238 -- 244}, year = {2024}, abstract = {One of the most prevalent harmful habits that affect people daily is smoking. The aim of our study was to investigate changes in the bone density of the human paranasal sinuses under the influence of smoking using uncertainty calculation. Material and Methods. The study involved 150 male and female individuals aged 20-40 years, which helps to exclude other factors that could influence the reduction in bone radiodensity (e.g., menopause in women, age-related changes, etc.). The participants were divided into three groups based on the duration of their smoking habits. Results. Smoking has almost no effect on the maximum bone density. All groups show nearly identical values. In the first group, consisting of individuals who smoked for up to 5 years, the maximum density is 75.22 ± 37.61 Hu. In the second group, those who smoked for up to 10 years have a density of 84.22 ± 42.11 Hu, while in the third control group, the density is 74.29 ± 37.15 Hu. On the other hand, smoking has a greater impact on the minimum radiological bone density of the upper wall of the maxillary sinus. The lowest values are found in the group of individuals who smoked for 10 or more years, with a minimum density of 23.86 ± 11.93 Hu. For those who smoked for up to 5 years, the radiological bone density was 52.65 ± 26.32 Hu. In the control group, the density values were slightly higher than those of individuals who smoked for up to 5 years, with the highest values being 58.12 ± 29.06 Hu. Conclusion. The study investigated changes in the bone density of the human paranasal sinuses under the influence of smoking, utilizing uncertainty calculation. It was found that the most sensitive indicator to nicotine exposure is the minimum radiological density, which can significantly increase the risk of developing complications. Specifically, the lowest radiological density was observed in the group of individuals who smoked for 10 years or more, with a value of 23.86 ± 11.93 Hu.}, language = {en} } @inproceedings{ReshetnikAlekseevaDevosetal.2023, author = {Reshetnik, Viktor and Alekseeva, Victoriia and Devos, Anastasiia and Nazaryan, Rosana and Gargin, Vitaliy and Nechyporenko, Alina}, title = {Implementation of the Uncertainty Calculation for the Detection of Negative Effect of Smoking on the Bone Density of Paranasal Sinuses}, series = {Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, ProfIT AI 2023, Waterloo, Canada, November 20-22, 2023}, booktitle = {Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, ProfIT AI 2023, Waterloo, Canada, November 20-22, 2023}, number = {3641}, editor = {Chumachenko, Dmytro and Kaur, Jasleen and Yakovlev, Sergiy and Morita, Plinio P.}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19140}, pages = {276 -- 283}, year = {2023}, abstract = {The aim was to implement uncertainty calculation for detecting the negative effects of smoking on the bone density of the paranasal sinus. Materials and Methods: A total of 100 male participants aged 20 to 44 were included in the study and divided into two groups. The first group comprised individuals with minimal harmful habits, while the second group consisted of individuals who had been smoking for at least 10 years, consuming 1 to 2 packs of cigarettes per day. Results Bone density has a negative impact on the bone tissue of the upper wall of the maxillary sinus. The findings suggest that individuals with a pronounced decrease in minimum density, as well as those with a marked difference between minimum and maximum density values, may require heightened medical attention due to potential associations with undiagnosed diseases or specific structural characteristics in the skull. Conclusions. The uncertainty calculation was implemented for the detection of negative effect of smoking on the bone density of paranasal sinuses. The calculated difference between maximum and minimum density during the research suggests significant medical implications, especially considering the heterogeneity of the trabecular bone structure in the skull. Individuals with a marked difference may require heightened medical attention, potentially associated with undiagnosed diseases or specific structural characteristics in the skull.}, language = {en} } @inproceedings{NechyporenkoReshetnikDzyzaetal.2023, author = {Nechyporenko, Alina and Reshetnik, Viktor and Dzyza, Alla and Alekseeva, Victoriia and Lupyr, Andrii and Gargin, Vitaliy}, title = {The Peculiarities of Measuring Bone Density in Males and Females Using Uncertainty Calculation}, series = {Proceedings of the 6th International Conference on Informatics \& Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023}, volume = {3609}, booktitle = {Proceedings of the 6th International Conference on Informatics \& Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023}, editor = {Shakhovska, Nataliya and Kov{\´a}c, Michal and Izonin, Ivan and Chr{\´e}tien, St{\´e}phane}, publisher = {RWTH Aachen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19116}, pages = {249 -- 254}, year = {2023}, abstract = {The article discusses the approach to solving the problem of reducing time spent on the preparation of medical images for teaching neural networks, by reducing the time of creating masks for images. The task is considered on the example of processing images of the mucous membrane of the paranasal sinus. The specifics of the task did not allow effectively using existing software solutions. During the study, a software solution was proposed, which made it possible to radically reduce the time of creating masks for images. The article also analyzes the shortcomings of the automated creation of masks, as well as the directions of their solution. The loss of time due to the adjustment of the color palette can be reduced even more to 1-2 minutes, the average deviation is 7.61\%.}, language = {en} }