Modern Methods Of Research And Diagnostics Of Diseases Of The Salivary Glands
Keywords:
salivary gland diseases, sialadenitis, sialolithiasis, diagnostic methods, MSCT sialography, sialendoscopy, differential diagnosis, salivary analysis, oxidative stress, crystallization patternsAbstract
Salivary gland diseases represent a significant proportion of dental pathologies, yet their diagnosis remains complex due to the heterogeneity of clinical manifestations and limitations of existing diagnostic tools. Despite the availability of conventional methods such as sialography, ultrasonography, and computed tomography, there is no unified diagnostic approach, leading to frequent diagnostic errors and delayed or inadequate treatment. This study addresses the gap in comprehensive, high-precision diagnostic strategies, particularly focusing on the underexplored potential of advanced imaging and integrative diagnostic methods.
The research employs a комплекс approach combining clinical examination, radiological techniques, multispiral computed tomographic (MSCT) sialography, endoscopic evaluation, and biochemical analysis of saliva. Special emphasis is placed on modern diagnostic modalities, including digital dynamic sialography, sialendoscopy, and analysis of salivary crystallization and oxidative protein modification.
The findings demonstrate that MSCT sialography and sialendoscopy significantly improve differential diagnosis by providing detailed visualization of ductal structures and pathological changes. Biochemical and morphological analyses reveal that reactive-dystrophic processes alter salivary composition, crystallization patterns, and oxidative activity, offering additional diagnostic markers. However, retrospective analysis indicates that only 24% of cases are correctly diagnosed at the initial stage, highlighting persistent systemic shortcomings.
The results confirm that integrating advanced imaging with biochemical and endoscopic methods enhances diagnostic accuracy and supports more effective treatment planning. The study implies the necessity of multidisciplinary approaches and the expansion of specialized diagnostic technologies in clinical practice to reduce errors and improve patient outcomes.
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