Khudyk A. Improvement of diagnostic and treatment methods of traumatic fractures of the midface area

The thesis research is devoted to the development of effective methods of diagnosis and treatment of traumatic fractures of the midface area, which consist in individualizing the choice of treatment method based on predicting its outcome. Clinical and radiological examination and treatment of 112 patients with fractures of the midface area, who were inpatient in the Department of Head and Neck Surgery of the Municipal Noncommercial Enterprise of Kharkiv Regional Council «Regional Clinical Hospital» for the period from January 1, 2018 to December 31, 2020 was carried out, and 416 hospital records of inpatients of the retrospective group, who were treated in the Municipal Health Care Institution «Regional Clinical Hospital – Center for Medical Care and Disaster Medicine», Kharkiv for the period from 2008 to 2017 were studied. The peculiarities of the structure of midface injuries in the gender-age aspect, in terms of etiology, nature, size of displacement of fragments, anatomical localization, period of seeking medical treatment and clinical and radiological features were studied. The point scales for assessing midface fractures (visual analogue scale (VAS) and modified visual analogue scale (VAS-M)). The models for predicting the effectiveness of surgical treatment of midface fractures have been developed and it has been found the informative indicators for this. A new solution for optimizing the diagnosis and treatment of fractures of the midface area by using models for predicting the outcome of treatment at the initial stages of patient examination has been proposed. The method of surgical treatment of midface fractures has been improved by creating individual 3D-modeled titanium mini-grids for fixing fragments and replacing bone defects in small fragment fractures. To use the developed models in the treatment of patients with fractures of the midface area, a graphical application was developed for the Windows operating system, into which the Sugeno fuzzy inference machine with models was integrated, as well as an intuitive user interface, the use of which does not require additional staff training. The value of the developed models for predicting lies in the fact that for a possible outcome of treatment and its choice the indicators which are defined at initial stages of patient examination are used.