RADIATION METHODS FOR DIAGNOSIS OF SALIVARY GLAND DISEASES. REVIEW

• Main Authors: T.V. Topchiy, D.V. Topchiy
• Format: Article
• Language: English
• Published: Bogomolets National Medical University 2017-11-01
• Series: Медична наука України
• Subjects: sialogram, digital subtraction sialography, computed tomography, sonography, scintigraphy
• Online Access: https://msu-journal.com/index.php/journal/article/view/55
• ISSN: 2664-472X; 2664-4738

In modern conditions, the application of radiodiagnosis of salivary gland diseases requires a profound knowledge of the physical and technical bases and their scientific and methodological peculiarities. There are presented information on the history of discovery and diagnostic capabilities of some methods of radiation diagnosis. Analogue sialography at a certain stage of the application gave clinicians valuable information. In the diagnosis of inflammatory diseases, there is a predominance of traditional sialogram. The functional digital subtraction sialography allow us to eliminate traditional sialogram disadvantages. This method is considered the gold standard for the diagnosis of salivary ducts. Computer tomographic sialography is the most valuable for the diagnosis of salivary gland tumors, allows differential diagnosis between benign and malignant tumors. An important advantage of salivary gland scintigraphy in comparison with other imaging methods is that both the secretory function and the excretory fraction of all four major salivary glands. Glands can be simultaneously quantified using a single injection. The method of ultrasound diagnostics allows to detect both malformations and inflammatory, degenerative-dystrophic processes, has some clear advantages in comparison with sialography, scintigraphy, computed tomography, since neither x-ray nor magnetic field is used, the duration of the procedure is shortened, the tomographic plane can be easily manipulated, metal bodies do not interfere. Conclusion. Complex application of radiation diagnostic methods, development of algorithms for the diagnosis of salivary glands can become a source of accurate and practically meaningful information.