Prospects of Raman-fluorescent medical technologies as early detection of inflammatory and tumor head and neck diseases for improving quality of medical care: short review and original data

Abstract

The quality of medical care depends on many parameters, including the effective use of high-tech medical interventions for the purpose of early identification of diseases. Today, it is important to use non-invasive, highly specific, accurate, highly sensitive, real-time express-methods of diagnostics. For such aim Raman fluorescent medical technologies can be used in detection of inflammatory and tumor diseases, including the head and neck pathology. This article provides a brief overview of the prospects of Raman fluorescence spectrometry in combination with machine learning methods for the early indication of head and neck diseases; also results of the study are presented. The technique is based on the phenomena of tissue autofluorescence and Raman light scattering. The article presents the results of the use of Raman fluorescence spectrometry for the differential diagnosis of ear diseases and salivary glands` pathology. In the future, the described method in case of special diagnostic algorithms` development can be used in clinical medicine for improving the quality of medical care.