Acta Scientific Dental Sciences

Research Article Volume 10 Issue 9

Multimodal Biophotometric System for Personalized Assessment of Dental Status: Diagnostic Efficiency and Clinical Application

Aleksandrov MT*

*Corresponding Author: Abhishek Kumar Pandey, Senior Resident, Department of Dentistry, Kalyan Singh Super Speciality Cancer Institute, Lucknow, (U.P)., India.

Received: July 31, 2026; Published: August 28, 2026


The aim of the study was to evaluate the diagnostic efficacy of a multimodal biophotometric system (MBS) in various dental pathologies, considering the impact of oxidative stress and psychoemotional strain.

Materials and Methods: A prospective, controlled, singlecenter study included 279 patients divided into 4 groups: control (n = 30), initial pathology manifestations (n = 57), pronounced forms (n = 171), and exacerbation of chronic diseases (n = 21). The methods included multimodal biophotometry (405 nm excitation, 400–700 nm spectral range), clinical index assessment, and saliva analysis (cortisol via ELISA, perceived stress via PSS10 scale).

Results: MBS demonstrated high diagnostic accuracy: sensitivity 93.6 %, specificity 94.6 %, and AUC 0.941, indicating excellent model quality. The greatest diagnostic gain was observed for leukoplakia (AUC 0.961) and gingivitis (AUC 0.940). Fluorescent indices (mucoproteins), (porphyrins), and their ratio proved to be informative markers of oxidative stress, hyposalivation, and microbial load.

Conclusions: MBS provides an objective, personalized assessment of dental status, surpasses traditional methods in diagnostic accuracy, and is suitable for monitoring treatment efficacy.

Keywords: Multimodal Biophotometry; Oxidative Stress; Dental Status; Fluorescence Diagnostics;, Personalized Medicine

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Citation

Citation: Aleksandrov MT. “Multimodal Biophotometric System for Personalized Assessment of Dental Status: Diagnostic Efficiency and Clinical Applica- tion". Acta Scientific Dental Sciences 10.9 (2026): 39-46.

Copyright

Copyright: © 2026 Aleksandrov MT. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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