@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{ReshetnikMuryzinaFrohmeetal.2024, author = {Reshetnik, Viktor and Muryzina, Irina and Frohme, Marcus and Alekseeva, Victoriia and Dzyza, Alla and Nechyporenko, Alina}, title = {Uncertainty Estimation Method for Determining Bone Density in Patients with Infiltrating Intraductal Carcinoma Undergoing Anti-Cancer Therapy}, 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-opus4-19628}, pages = {222 -- 228}, year = {2024}, abstract = {Identification of a bone density is crucial in all branches of medicine. Assessing bone density is a labor-intensive process. Bone density is quite unstable and depends on many factors, both physiological (aging, hormonal balance) and pathological (medication use, various underlying conditions). The aim of our study is to determine bone density in patients with malignant breast tumors undergoing anti-cancer therapy. Material and Methods. The study included 50 women aged 60-70 years who were diagnosed with infiltrating intraductal carcinoma. According to established protocols, MSCT is recommended for this category of women at intervals of once every six months. The first MSCT scan was performed immediately after the diagnosis was made, before the start of treatment, and the second scan was conducted six months later. Results. The maximum radiological density was 75.8954±37.9477 Hu in the group of women who had been receiving treatment for six months, compared to 93.9388±46.9694 Hu in the group of patients who did not take the drug. Meanwhile, the minimum density showed a slight increase from 29.7295±14.8647 Hu to 38.6919±19.3460 Hu, which can be attributed to the compensatory mechanisms of the body. Conclusions. In the course of this study, bone density in patients with infiltrating intraductal carcinoma undergoing anti-cancer therapy was determined using uncertainty estimation. It was found that after six months, the first to respond to changes in density was the maximum bone density.}, language = {en} } @inproceedings{NechyporenkoHubarenkoHubarenkoetal.2022, author = {Nechyporenko, Alina and Hubarenko, Yevhen and Hubarenko, Maryna and Kalnytska, Violeta and Alekseeva, Victoriia and Gargin, Vitaliy}, title = {Automatic Creation of Masks for Marking Histological Images of the Epithelium of the Paranasal Sinuses}, series = {Proceedings of the 5th International Conference on Informatics \& Data-Driven Medicine, Lyon, France, November 18 - 20, 2022}, volume = {3302}, booktitle = {Proceedings of the 5th International Conference on Informatics \& Data-Driven Medicine, Lyon, France, November 18 - 20, 2022}, editor = {Shakhovska, Nataliya and Chr{\´e}tien, St{\´e}phane and Izonin, Ivan and Campos, Jaime}, publisher = {RWTH Aachen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19024}, pages = {108 -- 119}, year = {2022}, 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} } @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} } @inproceedings{NechyporenkoReshetnikShyianetal.2020, author = {Nechyporenko, Alina and Reshetnik, Viktor and Shyian, Denys and Alekseeva, Victoriia and Radutny, Radiy and Gargin, Vitaliy}, title = {Solutions to the 3D Model Problem of Pressure Measurement in the Area of Maxillary Sinus Anastomosis}, series = {Proceedings of the 3rd International Conference on Informatics \& Data-Driven Medicine}, booktitle = {Proceedings of the 3rd International Conference on Informatics \& Data-Driven Medicine}, editor = {Shakhovska, Nataliya and Campos, Jaime and Melnykova, Nataliia and Izonin, Ivan}, publisher = {RWTH Aachen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19007}, pages = {275 -- 284}, year = {2020}, abstract = {The ostiomeatal complex (OMC) is a key area that determines the occurrence of inflammatory processes in the paranasal sinuses (PNSs). The aim of our work was to develop a procedure for studying the OMC components in the preoperative period that allows for identification the impact of anatomical peculiarities on change of physiological pressure in the maxillary sinus. Materials and methods: The study was carried out on the basis of the otorhinolaryngological department of Kharkiv Regional Clinical Hospital in 2019-2020. It involved 100 patients of both sexes aged 20-59 years with chronic non-polyposis maxillary sinusitis. Results: The sizes of the uncinate process, the middle turbinate and the natural anastomosis were determined using the calculation of uncertainty. Basing on the data obtained, all the patients were divided into three groups. Conclusions: Changes in the size of the natural anastomosis (both an increase and its narrowing) lead to changes in pressure in the area of the anastomosis, and a decrease in ventilation in the paranasal sinuses. SCT study with subsequent 3D modeling is an informative, accurate and effective method for assessment of OMC and PNSs condition. It allows surgeons to presume the method and volume of surgery as early as at the preoperative stage, without resorting to invasive research methods.}, language = {en} } @inproceedings{StrelchukNechyporenkoFrohmeetal.2024, author = {Strelchuk, Yaroslav and Nechyporenko, Alina and Frohme, Marcus and Gargin, Vitaliy and Lupyr, Andrii and Alekseeva, Victoriia}, title = {Detection of stress using photoplethysmography}, series = {Proceedings of the 7th International Conference on Informatics \& Data-Driven Medicine (IDDM 2024)}, volume = {3892}, booktitle = {Proceedings of the 7th International Conference on Informatics \& Data-Driven Medicine (IDDM 2024)}, editor = {Shakhovska, Nataliya and Jiao, Jianbo and Izonin, Ivan and Chretien, Stephane}, publisher = {RWTH Aachen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19896}, pages = {196 -- 202}, year = {2024}, abstract = {Stress is an important factor affecting human health, and its timely detection can significantly improve quality of life. This study addresses the current issue of identifying stress states using photoplethysmography signals obtained from the wearable Shimmer 3 sensor. The purpose of the study was to establish an effective approach for stress detection, specifically through the analysis of heart rate variability changes during different states: rest and stress. A distinctive feature of the research is the use of the air raid siren sound as a stress factor. The research methodology includes the collection and analysis of biosignals, allowing for the assessment of cardiovascular system functioning under the impact of stress factors. The results of the study demonstrated significant differences in heart rhythm indicators depending on the person's state, highlighting the potential of these metrics as a tool for health monitoring and stress detection. The paper proposes a new approach to using photoplethysmography for assessing stress responses, which may contribute to the development of personalized stress management methods.}, language = {en} } @inproceedings{RadutnyNechyporenkoAlekseevaetal.2021, author = {Radutny, Radiy and Nechyporenko, Alina and Alekseeva, Victoriia and Yurevych, Nadiia and Lupyr, Andrii and Gargin, Vitaliy}, title = {Complex Automatic Evaluation of the Medical Images of the Paranasal Sinuses}, series = {Proceedings of the 4th International Conference on Informatics \& Data-Driven Medicine, Valencia, Spain, November 19 - 21, 2021}, booktitle = {Proceedings of the 4th International Conference on Informatics \& Data-Driven Medicine, Valencia, Spain, November 19 - 21, 2021}, editor = {Shakhovska, Nataliya and Salazar, Addisson and Izonin, Ivan and Campos, Jaime}, publisher = {RWTH Aachen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19010}, pages = {182 -- 189}, year = {2021}, abstract = {Evaluation of medical images is of key importance in the work of medical staff today. Especially this problem pays important role in otolaryngology. The aim of our work was to develop an automatic complex method for assessing the state of the human paranasal sinuses. Our research included 10 people of different sex and age, who were divided into groups, taking into account the recommendations of the WHO for 2019-2021. The structure of the mucous membrane of the maxillary sinus were calculated and compared. In the course of our research, an algorithm was developed for the automatic assessment of the state of the mucous membrane of the maxillary sinus and its bone walls according to the data of the spiral computed tomography. The difference between obtained data in the manual and automatic mode is minimal.}, language = {en} } @inproceedings{NechyporenkoFrohmeOmelchenkoetal.2023, author = {Nechyporenko, Alina and Frohme, Marcus and Omelchenko, Vladyslav and Alekseeva, Victoriia and Lupyr, Andrii and Gargin, Vitaliy}, title = {Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning}, 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 = {CEUR-WS.org}, url = {http://nbn-resolving.de/urn:nbn:de:0074-3609-1}, pages = {167 -- 173}, year = {2023}, abstract = {The aim of our study is to develop a new, simple, and effective method for identification of personality based on the characteristics of the sphenoid sinus structure, using machine learning for subsequent implementation into routine medical practice in Ukraine. The study involved 200 multislice computed tomography (MSCT) scans of individuals of various genders and ages. During the study, we obtained results with an accuracy exceeding 70\%.}, language = {en} }