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The exchange program with East European Countries funded by DAAD (Ostpartnerschaften, project number 54364768) and joint Ukraine–Germany project MESU-BMBF 2019–2020 “3D-Model-Implementation of rapid prototyping to design and model the upper respiratory tract in normal and typical pathologies”.
Individual anatomical features of the paranasal sinuses and dentoalveolar system, the
complexity of physiological and pathophysiological processes in this area, and the absence of
actual standards of the norm and typical pathologies lead to the fact that differential diagnosis
and assessment of the severity of the course of odontogenic sinusitis significantly depend on the
measurement methods of significant indicators and have significant variability. Therefore, an urgent
task is to expand the diagnostic capabilities of existing research methods, study the significance of
the measured indicators, and substantiate the expediency of their use in the diagnosis of specific
pathologies in an automated mode. Methods of digital filtering, image segmentation and analysis,
fluid dynamics, and statistical and discriminant analysis were used. Preliminary differential diagnosis
of odontogenic sinusitis can be performed by densitemetric analysis of tomographic images of
the maxillary sinuses, performed using frontal multiplanar reconstructions according to a given
algorithm. The very manifestation of the characteristic changes in the densitography of the maxillary
sinus allows for the initiation of certain pathological processes and permits the development of
the effectiveness of the diagnosis of the pathology of the sinus sinuses, which can be realized
automatically in real life.
