Department of Biomedical Engineering, Faculty of Electronic and Biomedical Engineering Kharkiv National University of Radio Electronics, 61166 Kharkiv, Ukraine.
Department of Biomedical Engineering, Vinnytsia National Technical University, 21021 Vinnytsia, Ukraine.
Sensors (Basel). 2021 Feb 8;21(4):1198. doi: 10.3390/s21041198.
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.
鼻窦和牙牙槽系统的个体解剖特征、该区域生理和病理生理过程的复杂性，以及正常和典型病理的实际标准的缺失，导致了对牙源性鼻窦炎的鉴别诊断和严重程度评估严重依赖于显著指标的测量方法，并且具有显著的可变性。因此，当务之急是扩大现有研究方法的诊断能力，研究测量指标的意义，并证明在自动模式下使用它们诊断特定病理学的合理性。使用了数字滤波、图像分割和分析、流体动力学以及统计和判别分析方法。使用基于给定算法的额状多平面重建对上颌窦进行密度测量分析，可以进行初步的牙源性鼻窦炎鉴别诊断。上颌窦密度测定特征性变化的出现本身就可以启动某些病理过程，并允许鼻窦病理诊断的有效性得以发展，而这种发展在实际生活中可以自动实现。
