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ADVANCED TECHNIQUES IN DIAGNOSIS AND MANAGEMENT OF
PATHOLOGICAL DENTAL WEAR
Irgashev Kamron Nodirovich
Free co-researcher of the Department of Postgraduate Education Faculty
Samarkand State Medical University
Rizaev Jasur Alimjanovich
Doctor of medical sciences, professor Rector of
Samarkand State Medical University
https://doi.org/10.5281/zenodo.14709770
Abstract:
Pathological dental wear represents a significant challenge in modern
dentistry, affecting 20-45% of the adult population worldwide. Current diagnostic and
treatment approaches often lack precision and predictability, necessitating the development
of more advanced techniques for comprehensive patient care.
Keywords:
pathological dental wear, advanced diagnostics, digital dentistry, CAD/CAM
technology, dental restoration.
Introduction
. Pathological dental wear represents one of the most challenging
conditions in contemporary dentistry, demonstrating an increasing prevalence across
different age groups worldwide. Recent epidemiological studies indicate that 20-45% of
adults experience some form of pathological tooth wear, with a concerning trend toward
earlier onset in younger populations. This growing prevalence poses significant challenges for
dental practitioners and healthcare systems globally.
The multifactorial nature of dental wear, involving mechanical, chemical, and biological
factors, makes both diagnosis and management particularly complex. Modern lifestyle
changes, including dietary habits, increased stress levels, and various parafunctional
activities, have contributed to the rising incidence of this condition. Furthermore, improved
longevity and the desire to maintain natural dentition throughout life have heightened the
importance of effective management strategies.
Recent advances in digital dentistry and diagnostic technologies have opened new
possibilities for the assessment and treatment of dental wear. Digital scanning, computer-
aided design and manufacturing (CAD/CAM) systems, and sophisticated occlusal analysis
tools have revolutionized the approach to diagnosis and treatment planning. However,
despite these technological advances, the integration of these tools into a comprehensive,
evidence-based protocol remains a significant challenge.
Objective.
To enhance the efficiency of diagnosis and management of pathological
dental wear through the development and implementation of advanced diagnostic algorithms
and personalized treatment strategies.
Materials and Methods.
The study included 180 patients with various degrees of
pathological dental wear. We employed contemporary diagnostic methods including digital
scanning, computerized occlusal analysis, electromyography of masticatory muscles, and
biometric analysis of diagnostic models. Treatment protocols incorporated direct and indirect
CAD/CAM restorations. The follow-up period was 24 months, with regular assessments at 6,
12, and 24-month intervals.
Results.
The implementation of advanced diagnostic algorithms improved the accuracy
of etiological factor identification and severity assessment by 32% compared to conventional
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methods. The developed personalized treatment approach demonstrated significant clinical
success, with 94.5% of patients achieving stable functional and aesthetic outcomes. The
complication rate decreased from 23.4% to 5.8% (p<0.001). Digital workflow integration
reduced treatment planning time by 45% while improving prediction accuracy of restoration
outcomes.
Conclusion.
The application of advanced diagnostic techniques and personalized
treatment strategies significantly improves the management of pathological dental wear,
leading to better clinical outcomes and reduced complication rates. This comprehensive
approach offers a more predictable and efficient protocol for dental rehabilitation of affected
patients.
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